2025-12-04T08:56:51.3161672Z Current runner version: '2.330.0' 2025-12-04T08:56:51.3167897Z Runner name: 'i-07ec34d4429e531a0' 2025-12-04T08:56:51.3168696Z Runner group name: 'default' 2025-12-04T08:56:51.3169546Z Machine name: 'ip-10-0-4-54' 2025-12-04T08:56:51.3172278Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T08:56:51.3174561Z Contents: read 2025-12-04T08:56:51.3175235Z Metadata: read 2025-12-04T08:56:51.3175738Z ##[endgroup] 2025-12-04T08:56:51.3177843Z Secret source: Actions 2025-12-04T08:56:51.3178715Z Prepare workflow directory 2025-12-04T08:56:51.3700659Z Prepare all required actions 2025-12-04T08:56:51.3742372Z Getting action download info 2025-12-04T08:56:51.7485501Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T08:56:52.9955889Z Download action repository 'pytorch/pytorch@main' (SHA:eabb7ad2128580ef674446027b95bcf4e21e8df3) 2025-12-04T08:57:07.5297296Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T08:57:07.8931791Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T08:57:08.1406102Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T08:57:08.3247905Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:57:08.5585677Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T08:57:08.8692156Z Getting action download info 2025-12-04T08:57:08.9965407Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T08:57:09.3342103Z Getting action download info 2025-12-04T08:57:09.4814315Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T08:57:09.7112769Z Getting action download info 2025-12-04T08:57:09.8753026Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T08:57:10.1070971Z Getting action download info 2025-12-04T08:57:10.2973755Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:57:10.2977887Z ##[group] Inputs 2025-12-04T08:57:10.2978265Z build-environment: linux-jammy-py3.10-gcc11 2025-12-04T08:57:10.2984420Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "docs_test", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "backwards_compat", "shard": 1, "num_shards": 1, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "numpy_2_x", "shard": 1, "num_shards": 1, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "libtorch_agnostic_targetting", "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"}]} 2025-12-04T08:57:10.2991073Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:10.2991885Z sync-tag: 2025-12-04T08:57:10.2992722Z timeout-minutes: 240 2025-12-04T08:57:10.2993006Z use-gha: 2025-12-04T08:57:10.2993237Z dashboard-tag: 2025-12-04T08:57:10.2993479Z s3-bucket: gha-artifacts 2025-12-04T08:57:10.2993765Z aws-role-to-assume: 2025-12-04T08:57:10.2994351Z disable-monitor: false 2025-12-04T08:57:10.2994645Z monitor-log-interval: 5 2025-12-04T08:57:10.2994965Z monitor-data-collect-interval: 1 2025-12-04T08:57:10.2995307Z ##[endgroup] 2025-12-04T08:57:10.2995797Z Complete job name: linux-jammy-py3.10-gcc11 / test (default, 1, 5, linux.2xlarge, rerun_disabled_tests) 2025-12-04T08:57:10.3472842Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T08:57:10.3575531Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T08:57:10.3584420Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:10.3585152Z ##[endgroup] 2025-12-04T08:57:11.6301407Z Runner Type: linux.2xlarge 2025-12-04T08:57:11.6301919Z Instance Type: c5.2xlarge 2025-12-04T08:57:11.6302198Z AMI Name: unknown 2025-12-04T08:57:11.6328984Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T08:57:16.9745990Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T08:57:16.9746456Z with: 2025-12-04T08:57:16.9747085Z github-secret: *** 2025-12-04T08:57:16.9747824Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T08:57:16.9748661Z activate-with-label: false 2025-12-04T08:57:16.9748954Z label: with-ssh 2025-12-04T08:57:16.9749202Z remove-existing-keys: true 2025-12-04T08:57:16.9749499Z fail-silently: true 2025-12-04T08:57:16.9749758Z env: 2025-12-04T08:57:16.9749982Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:16.9750266Z ##[endgroup] 2025-12-04T08:57:17.0952531Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T08:57:17.0953942Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T08:57:17.1117153Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T08:57:17.1117617Z with: 2025-12-04T08:57:17.1117831Z no-sudo: true 2025-12-04T08:57:17.1118074Z submodules: recursive 2025-12-04T08:57:17.1118344Z fetch-depth: 0 2025-12-04T08:57:17.1118564Z env: 2025-12-04T08:57:17.1118785Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:17.1119072Z ##[endgroup] 2025-12-04T08:57:17.1193471Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:57:17.1194569Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:57:17.1202051Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:17.1202459Z env: 2025-12-04T08:57:17.1202917Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:17.1203239Z ##[endgroup] 2025-12-04T08:57:17.1282450Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T08:57:17.1282908Z # Use all available CPUs for fetching 2025-12-04T08:57:17.1283272Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:57:17.1283613Z git config --global fetch.parallel 0 2025-12-04T08:57:17.1284017Z git config --global submodule.fetchJobs 0 2025-12-04T08:57:17.1284373Z  2025-12-04T08:57:17.1284886Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T08:57:17.1285382Z # do it here as well just in case 2025-12-04T08:57:17.1285715Z if [[ -d .git ]]; then 2025-12-04T08:57:17.1286012Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:57:17.1286342Z  sudo git clean -ffdx 2025-12-04T08:57:17.1286637Z  else 2025-12-04T08:57:17.1286884Z  git clean -ffdx 2025-12-04T08:57:17.1287145Z  fi 2025-12-04T08:57:17.1287370Z fi 2025-12-04T08:57:17.1293610Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:17.1293997Z env: 2025-12-04T08:57:17.1294302Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:17.1294598Z NO_SUDO: true 2025-12-04T08:57:17.1294821Z ##[endgroup] 2025-12-04T08:57:17.1405869Z ##[group]Run actions/checkout@v4 2025-12-04T08:57:17.1406173Z with: 2025-12-04T08:57:17.1406438Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:17.1406794Z fetch-depth: 0 2025-12-04T08:57:17.1407046Z submodules: recursive 2025-12-04T08:57:17.1407316Z show-progress: false 2025-12-04T08:57:17.1407598Z repository: pytorch/pytorch 2025-12-04T08:57:17.1408021Z token: *** 2025-12-04T08:57:17.1408257Z ssh-strict: true 2025-12-04T08:57:17.1408502Z ssh-user: git 2025-12-04T08:57:17.1408743Z persist-credentials: true 2025-12-04T08:57:17.1409026Z clean: true 2025-12-04T08:57:17.1409297Z sparse-checkout-cone-mode: true 2025-12-04T08:57:17.1409593Z fetch-tags: false 2025-12-04T08:57:17.1409833Z lfs: false 2025-12-04T08:57:17.1410076Z set-safe-directory: true 2025-12-04T08:57:17.1410344Z env: 2025-12-04T08:57:17.1410564Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:17.1410838Z ##[endgroup] 2025-12-04T08:57:17.2501940Z Syncing repository: pytorch/pytorch 2025-12-04T08:57:17.2503635Z ##[group]Getting Git version info 2025-12-04T08:57:17.2504168Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:57:17.2504884Z [command]/usr/bin/git version 2025-12-04T08:57:17.2505195Z git version 2.50.1 2025-12-04T08:57:17.2511190Z ##[endgroup] 2025-12-04T08:57:17.2520606Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/3b51fc81-4166-42a9-8f25-826fd8c819ce/.gitconfig' 2025-12-04T08:57:17.2538834Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/3b51fc81-4166-42a9-8f25-826fd8c819ce' before making global git config changes 2025-12-04T08:57:17.2539889Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T08:57:17.2543782Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:57:17.2577459Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:57:17.2580377Z ##[group]Initializing the repository 2025-12-04T08:57:17.2584430Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:57:17.2613567Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T08:57:17.2614367Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T08:57:17.2614957Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T08:57:17.2615376Z hint: 2025-12-04T08:57:17.2615686Z hint: git config --global init.defaultBranch 2025-12-04T08:57:17.2616253Z hint: 2025-12-04T08:57:17.2616787Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T08:57:17.2617402Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T08:57:17.2617861Z hint: 2025-12-04T08:57:17.2618081Z hint: git branch -m 2025-12-04T08:57:17.2618353Z hint: 2025-12-04T08:57:17.2618828Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T08:57:17.2620168Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T08:57:17.2623522Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T08:57:17.2646150Z ##[endgroup] 2025-12-04T08:57:17.2646610Z ##[group]Disabling automatic garbage collection 2025-12-04T08:57:17.2649786Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T08:57:17.2671451Z ##[endgroup] 2025-12-04T08:57:17.2671854Z ##[group]Setting up auth 2025-12-04T08:57:17.2677778Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T08:57:17.2701424Z [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' || :" 2025-12-04T08:57:17.2968048Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T08:57:17.2992035Z [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' || :" 2025-12-04T08:57:17.3236849Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T08:57:17.3261029Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T08:57:17.3506755Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:57:17.3553639Z ##[endgroup] 2025-12-04T08:57:17.3554101Z ##[group]Fetching the repository 2025-12-04T08:57:17.3561604Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T08:58:16.0823635Z From https://github.com/pytorch/pytorch 2025-12-04T08:58:16.0824226Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T08:58:16.0824860Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T08:58:16.0825491Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T08:58:16.0826705Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T08:58:16.0827404Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T08:58:16.0828343Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T08:58:16.0830593Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T08:58:16.0832830Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T08:58:16.0833843Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T08:58:16.0835347Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T08:58:16.0836766Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T08:58:16.0837936Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T08:58:16.0839307Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T08:58:16.0840719Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T08:58:16.0841959Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T08:58:16.0843569Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T08:58:16.0845368Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T08:58:16.0847081Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T08:58:16.0848399Z * [new branch] adi/test -> origin/adi/test 2025-12-04T08:58:16.0849735Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T08:58:16.0850989Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T08:58:16.0852394Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T08:58:16.0853676Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T08:58:16.0855010Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T08:58:16.0856122Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T08:58:16.0857829Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T08:58:16.0861570Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T08:58:16.0862604Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T08:58:16.0863332Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T08:58:16.0864218Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T08:58:16.0866313Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T08:58:16.0867533Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T08:58:16.0868757Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T08:58:16.0870203Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T08:58:16.0871360Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T08:58:16.0872670Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T08:58:16.0873841Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T08:58:16.0875634Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T08:58:16.0877470Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T08:58:16.0878814Z * [new branch] angelayi/side_eff -> origin/angelayi/side_eff 2025-12-04T08:58:16.0880128Z * [new branch] angelayi/state_dict -> origin/angelayi/state_dict 2025-12-04T08:58:16.0881504Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-12-04T08:58:16.0882907Z * [new branch] angelayi/symm_mem -> origin/angelayi/symm_mem 2025-12-04T08:58:16.0884186Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-12-04T08:58:16.0885458Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-12-04T08:58:16.0886691Z * [new branch] annotate_assert -> origin/annotate_assert 2025-12-04T08:58:16.0888187Z * [new branch] annotate_fallback_kernel -> origin/annotate_fallback_kernel 2025-12-04T08:58:16.0889437Z * [new branch] annotation_deepcopy -> origin/annotation_deepcopy 2025-12-04T08:58:16.0890739Z * [new branch] annotation_dynamo -> origin/annotation_dynamo 2025-12-04T08:58:16.0892022Z * [new branch] aot_eager_stack_trace -> origin/aot_eager_stack_trace 2025-12-04T08:58:16.0893294Z * [new 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branch] zb2p -> origin/zb2p 2025-12-04T08:58:16.7338888Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-12-04T08:58:16.7340650Z * [new branch] zhxchen17/ci/vllm_lora_oom -> origin/zhxchen17/ci/vllm_lora_oom 2025-12-04T08:58:16.7341797Z * [new branch] zhxchen17/ci/vllm_multimodal_oom -> origin/zhxchen17/ci/vllm_multimodal_oom 2025-12-04T08:58:16.7343179Z * [new branch] zhxchen17/ci/vllm_pin -> origin/zhxchen17/ci/vllm_pin 2025-12-04T08:58:16.7344905Z * [new branch] zhxchen17/dynamo/unsafe_drop_all_guards -> origin/zhxchen17/dynamo/unsafe_drop_all_guards 2025-12-04T08:58:16.7346279Z * [new branch] zhxchen17/export/call_override -> origin/zhxchen17/export/call_override 2025-12-04T08:58:16.7347360Z * [new branch] zhxchen17/export/codemod1 -> origin/zhxchen17/export/codemod1 2025-12-04T08:58:16.7348474Z * [new branch] zhxchen17/export/ctx_return -> origin/zhxchen17/export/ctx_return 2025-12-04T08:58:16.7349672Z * [new branch] 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branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T08:58:16.7362461Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T08:58:16.7363565Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T08:58:16.7364674Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T08:58:16.7365819Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T08:58:16.7366981Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T08:58:16.7367888Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T08:58:16.7368846Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T08:58:16.7369511Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T08:58:16.7370198Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T08:58:16.7370915Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T08:58:16.7371862Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T08:58:16.7372669Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T08:58:16.7373337Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T08:58:16.7374293Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T08:58:16.7374876Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T08:58:16.7375966Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T08:58:16.7376594Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T08:58:16.7377801Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T08:58:16.7378941Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T08:58:16.7379900Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T08:58:16.7380507Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T08:58:16.7381407Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T08:58:16.7382338Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T08:58:16.7382982Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T08:58:16.7384104Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T08:58:16.7384737Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T08:58:16.7385804Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T08:58:16.7386557Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T08:58:16.7387273Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T08:58:16.7388150Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T08:58:16.7388915Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T08:58:16.7389799Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T08:58:16.7390749Z * [new tag] ciflow/dynamo/169525 -> ciflow/dynamo/169525 2025-12-04T08:58:16.7391623Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T08:58:16.7392309Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T08:58:16.7393389Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T08:58:16.7394090Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T08:58:16.7394787Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T08:58:16.7395491Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T08:58:16.7396663Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T08:58:16.7397333Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T08:58:16.7398034Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T08:58:16.7398745Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T08:58:16.7399903Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T08:58:16.7400484Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T08:58:16.7401445Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T08:58:16.7402066Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T08:58:16.7402911Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T08:58:16.7403605Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T08:58:16.7404301Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T08:58:16.7405027Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T08:58:16.7405832Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T08:58:16.7406960Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T08:58:16.7407587Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T08:58:16.7408320Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T08:58:16.7409004Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T08:58:16.7410051Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T08:58:16.7410988Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T08:58:16.7411880Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T08:58:16.7412548Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T08:58:16.7413505Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T08:58:16.7414177Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T08:58:16.7414885Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T08:58:16.7415613Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T08:58:16.7416640Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T08:58:16.7417770Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T08:58:16.7418569Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T08:58:16.7419239Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T08:58:16.7420649Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T08:58:16.7421910Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T08:58:16.7422549Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T08:58:16.7423387Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T08:58:16.7424232Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T08:58:16.7425010Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T08:58:16.7425796Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T08:58:16.7426495Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T08:58:16.7427315Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T08:58:16.7428440Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T08:58:16.7429317Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T08:58:16.7429943Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T08:58:16.7430753Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T08:58:16.7431464Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T08:58:16.7432538Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T08:58:16.7433234Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T08:58:16.7433810Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T08:58:16.7434530Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T08:58:16.7435569Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T08:58:16.7436229Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T08:58:16.7437289Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T08:58:16.7438037Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T08:58:16.7438745Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T08:58:16.7439456Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T08:58:16.7440406Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T08:58:16.7441046Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T08:58:16.7441717Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T08:58:16.7442401Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T08:58:16.7443104Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T08:58:16.7443807Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T08:58:16.7444501Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T08:58:16.7445198Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T08:58:16.7446317Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T08:58:16.7447221Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T08:58:16.7448149Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T08:58:16.7448806Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T08:58:16.7449584Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T08:58:16.7450290Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T08:58:16.7451046Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T08:58:16.7451844Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T08:58:16.7452848Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T08:58:16.7453455Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T08:58:16.7454212Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T08:58:16.7455159Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T08:58:16.7455921Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T08:58:16.7456654Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T08:58:16.7457432Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T08:58:16.7458188Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T08:58:16.7458908Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T08:58:16.7459653Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T08:58:16.7460398Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T08:58:16.7461579Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T08:58:16.7462297Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T08:58:16.7462949Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T08:58:16.7463657Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T08:58:16.7464357Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T08:58:16.7465375Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T08:58:16.7466037Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T08:58:16.7466728Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T08:58:16.7467692Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T08:58:16.7468318Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T08:58:16.7469083Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T08:58:16.7470002Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T08:58:16.7470647Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T08:58:16.7471379Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T08:58:16.7472144Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T08:58:16.7472871Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T08:58:16.7473629Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T08:58:16.7474345Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T08:58:16.7475108Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T08:58:16.7476159Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T08:58:16.7476895Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T08:58:16.7477677Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T08:58:16.7478550Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T08:58:16.7479218Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T08:58:16.7479992Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T08:58:16.7480754Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T08:58:16.7481469Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T08:58:16.7482207Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T08:58:16.7482976Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T08:58:16.7483710Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T08:58:16.7484446Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T08:58:16.7485182Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T08:58:16.7486480Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T08:58:16.7487116Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T08:58:16.7487837Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T08:58:16.7488589Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T08:58:16.7489315Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T08:58:16.7490166Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T08:58:16.7490822Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T08:58:16.7491553Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T08:58:16.7492287Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T08:58:16.7493044Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T08:58:16.7494089Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T08:58:16.7494720Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T08:58:16.7495476Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T08:58:16.7496204Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T08:58:16.7496946Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T08:58:16.7497693Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T08:58:16.7498425Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T08:58:16.7499189Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T08:58:16.7499915Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T08:58:16.7500686Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T08:58:16.7501404Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T08:58:16.7502150Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T08:58:16.7503062Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T08:58:16.7504021Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T08:58:16.7504791Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T08:58:16.7505506Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T08:58:16.7506261Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T08:58:16.7507140Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T08:58:16.7507800Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T08:58:16.7508546Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T08:58:16.7509290Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T08:58:16.7510031Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T08:58:16.7510759Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T08:58:16.7511524Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T08:58:16.7512227Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T08:58:16.7512966Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T08:58:16.7513713Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T08:58:16.7514708Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T08:58:16.7515345Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T08:58:16.7516346Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T08:58:16.7517378Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T08:58:16.7518053Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T08:58:16.7518882Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T08:58:16.7519535Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T08:58:16.7520248Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T08:58:16.7521028Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T08:58:16.7521769Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T08:58:16.7522770Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T08:58:16.7523425Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T08:58:16.7524180Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T08:58:16.7525154Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T08:58:16.7525808Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T08:58:16.7526543Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T08:58:16.7527306Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T08:58:16.7528260Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T08:58:16.7529455Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T08:58:16.7530158Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T08:58:16.7530917Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T08:58:16.7531646Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T08:58:16.7532410Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T08:58:16.7533147Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T08:58:16.7534218Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T08:58:16.7534865Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T08:58:16.7535590Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T08:58:16.7536896Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T08:58:16.7537554Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T08:58:16.7538541Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T08:58:16.7539315Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T08:58:16.7540072Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T08:58:16.7540858Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T08:58:16.7542012Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T08:58:16.7542710Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T08:58:16.7543446Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T08:58:16.7544193Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T08:58:16.7544942Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T08:58:16.7545978Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T08:58:16.7546656Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T08:58:16.7547428Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T08:58:16.7548227Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T08:58:16.7549215Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T08:58:16.7549898Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T08:58:16.7550833Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T08:58:16.7551784Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T08:58:16.7552443Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T08:58:16.7553178Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T08:58:16.7553930Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T08:58:16.7554938Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T08:58:16.7555597Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T08:58:16.7556728Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T08:58:16.7557422Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T08:58:16.7558417Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T08:58:16.7559182Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T08:58:16.7559945Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T08:58:16.7560709Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T08:58:16.7561470Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T08:58:16.7562226Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T08:58:16.7562981Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T08:58:16.7563728Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T08:58:16.7564811Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T08:58:16.7566088Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T08:58:16.7566775Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T08:58:16.7567516Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T08:58:16.7568437Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T08:58:16.7569085Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T08:58:16.7569867Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T08:58:16.7570561Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T08:58:16.7571309Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T08:58:16.7572095Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T08:58:16.7572875Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T08:58:16.7573598Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T08:58:16.7574345Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T08:58:16.7575330Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T08:58:16.7575994Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T08:58:16.7576739Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T08:58:16.7577513Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T08:58:16.7578310Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T08:58:16.7579017Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T08:58:16.7579755Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T08:58:16.7580511Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T08:58:16.7581257Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T08:58:16.7582458Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T08:58:16.7583399Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T08:58:16.7584267Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T08:58:16.7585251Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T08:58:16.7585850Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T08:58:16.7586552Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T08:58:16.7587247Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T08:58:16.7588199Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T08:58:16.7588841Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T08:58:16.7590217Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T08:58:16.7590841Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T08:58:16.7591877Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T08:58:16.7592435Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T08:58:16.7593212Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T08:58:16.7594630Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T08:58:16.7595368Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T08:58:16.7596054Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T08:58:16.7596847Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T08:58:16.7597911Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T08:58:16.7598557Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T08:58:16.7599274Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T08:58:16.7600442Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T08:58:16.7601063Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T08:58:16.7602001Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T08:58:16.7602623Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T08:58:16.7606218Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T08:58:16.7607601Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T08:58:16.7608828Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T08:58:16.7609584Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T08:58:16.7610666Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T08:58:16.7612284Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:58:16.7613068Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T08:58:16.7614362Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T08:58:16.7615376Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T08:58:16.7616217Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T08:58:16.7617269Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T08:58:16.7618338Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T08:58:16.7619366Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T08:58:16.7620141Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T08:58:16.7621391Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T08:58:16.7622083Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T08:58:16.7622807Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T08:58:16.7623501Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T08:58:16.7624459Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T08:58:16.7625061Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T08:58:16.7626031Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T08:58:16.7626623Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T08:58:16.7627763Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T08:58:16.7628691Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T08:58:16.7629287Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T08:58:16.7630016Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T08:58:16.7630705Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T08:58:16.7631670Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T08:58:16.7632286Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T08:58:16.7632999Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T08:58:16.7634048Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T08:58:16.7634646Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T08:58:16.7635590Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T08:58:16.7636197Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T08:58:16.7636970Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T08:58:16.7637742Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T08:58:16.7638451Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T08:58:16.7639178Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T08:58:16.7639855Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T08:58:16.7640570Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T08:58:16.7641273Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T08:58:16.7642031Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T08:58:16.7642686Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T08:58:16.7643755Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T08:58:16.7644745Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T08:58:16.7645635Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T08:58:16.7646306Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T08:58:16.7647030Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T08:58:16.7647756Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T08:58:16.7648504Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T08:58:16.7649430Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T08:58:16.7650093Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T08:58:16.7650802Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T08:58:16.7651540Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T08:58:16.7652317Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T08:58:16.7653028Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T08:58:16.7653770Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T08:58:16.7654519Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T08:58:16.7655250Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T08:58:16.7656447Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T08:58:16.7657197Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T08:58:16.7658632Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T08:58:16.7659035Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T08:58:16.7659777Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T08:58:16.7660464Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T08:58:16.7661503Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T08:58:16.7662402Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T08:58:16.7663509Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T08:58:16.7664704Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T08:58:16.7665764Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T08:58:16.7666684Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T08:58:16.7667536Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T08:58:16.7668447Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T08:58:16.7669846Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T08:58:16.7670279Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T08:58:16.7671263Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T08:58:16.7672020Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T08:58:16.7673141Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T08:58:16.7673884Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T08:58:16.7675440Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T08:58:16.7675997Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T08:58:16.7677495Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T08:58:16.7678120Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T08:58:16.7678812Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T08:58:16.7679564Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T08:58:16.7680236Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T08:58:16.7680957Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T08:58:16.7681630Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T08:58:16.7682338Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T08:58:16.7683062Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T08:58:16.7683754Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T08:58:16.7684458Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T08:58:16.7685658Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T08:58:16.7686622Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T08:58:16.7687531Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T08:58:16.7688186Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T08:58:16.7688930Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T08:58:16.7689655Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T08:58:16.7690639Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T08:58:16.7691291Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T08:58:16.7692028Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T08:58:16.7692765Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T08:58:16.7693500Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T08:58:16.7694250Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T08:58:16.7694990Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T08:58:16.7695748Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T08:58:16.7696724Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T08:58:16.7697368Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T08:58:16.7698116Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T08:58:16.7699110Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T08:58:16.7699789Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T08:58:16.7700735Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T08:58:16.7701375Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T08:58:16.7702125Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T08:58:16.7703104Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T08:58:16.7704029Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T08:58:16.7704684Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T08:58:16.7705427Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T08:58:16.7706174Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T08:58:16.7707157Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T08:58:16.7708036Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T08:58:16.7708675Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T08:58:16.7709441Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T08:58:16.7710381Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T08:58:16.7711036Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T08:58:16.7711767Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T08:58:16.7712527Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T08:58:16.7713550Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T08:58:16.7714202Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T08:58:16.7714942Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T08:58:16.7715950Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T08:58:16.7716569Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T08:58:16.7717559Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T08:58:16.7718206Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T08:58:16.7718956Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T08:58:16.7719686Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T08:58:16.7720441Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T08:58:16.7721166Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T08:58:16.7721892Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T08:58:16.7722867Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T08:58:16.7723614Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T08:58:16.7724560Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T08:58:16.7725215Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T08:58:16.7726157Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T08:58:16.7727434Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T08:58:16.7728148Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T08:58:16.7728915Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T08:58:16.7729649Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T08:58:16.7730675Z * [new tag] ciflow/trunk/169229 -> ciflow/trunk/169229 2025-12-04T08:58:16.7731644Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T08:58:16.7733032Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T08:58:16.7733626Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T08:58:16.7734460Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T08:58:16.7735148Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T08:58:16.7735842Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T08:58:16.7736834Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T08:58:16.7737557Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T08:58:16.7738269Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T08:58:16.7739031Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T08:58:16.7739769Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T08:58:16.7740977Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T08:58:16.7741587Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T08:58:16.7742311Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T08:58:16.7743080Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T08:58:16.7744114Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T08:58:16.7744717Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T08:58:16.7745477Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T08:58:16.7746290Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T08:58:16.7747366Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T08:58:16.7748028Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T08:58:16.7748606Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T08:58:16.7749339Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T08:58:16.7750106Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T08:58:16.7750811Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T08:58:16.7751671Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T08:58:16.7752438Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T08:58:16.7753343Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T08:58:16.7754101Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T08:58:16.7754763Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T08:58:16.7755633Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T08:58:16.7756423Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T08:58:16.7757245Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T08:58:16.7758078Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T08:58:16.7758843Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T08:58:16.7759664Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T08:58:16.7760357Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T08:58:16.7761113Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T08:58:16.7761857Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T08:58:16.7762654Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T08:58:16.7763506Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T08:58:16.7764182Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T08:58:16.7764893Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T08:58:16.7765885Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T08:58:16.7767390Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T08:58:16.7768666Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T08:58:16.7769352Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T08:58:16.7770078Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T08:58:16.7770763Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T08:58:16.7771451Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T08:58:16.7772478Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T08:58:16.7773108Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T08:58:16.7773739Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T08:58:16.7774657Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T08:58:16.7775679Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T08:58:16.7776820Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T08:58:16.7777824Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T08:58:16.7778909Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T08:58:16.7780038Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T08:58:16.7781142Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T08:58:16.7782253Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T08:58:16.7783938Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T08:58:16.7785531Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T08:58:16.7786843Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T08:58:16.7787953Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T08:58:16.7789253Z * [new tag] ciflow/xpu/169229 -> ciflow/xpu/169229 2025-12-04T08:58:16.7790282Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T08:58:16.7791540Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T08:58:16.7792959Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T08:58:16.7793986Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T08:58:16.7795121Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T08:58:16.7796724Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T08:58:16.7797836Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T08:58:16.7798927Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T08:58:16.7800273Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T08:58:16.7801545Z * [new tag] cslpull75 -> cslpull75 2025-12-04T08:58:16.7802958Z * [new tag] cslpull76 -> cslpull76 2025-12-04T08:58:16.7804302Z * [new tag] cslpull77 -> cslpull77 2025-12-04T08:58:16.7805647Z * [new tag] cslpull78 -> cslpull78 2025-12-04T08:58:16.7807420Z * [new tag] cslpull79 -> cslpull79 2025-12-04T08:58:16.7808816Z * [new tag] cslpull80 -> cslpull80 2025-12-04T08:58:16.7810195Z * [new tag] cslpull81 -> cslpull81 2025-12-04T08:58:16.7811583Z * [new tag] cslpull82 -> cslpull82 2025-12-04T08:58:16.7812913Z * [new tag] cslpull83 -> cslpull83 2025-12-04T08:58:16.7814245Z * [new tag] cslpull84 -> cslpull84 2025-12-04T08:58:16.7815491Z * [new tag] cslpull85 -> cslpull85 2025-12-04T08:58:16.7816940Z * [new tag] cslpull86 -> cslpull86 2025-12-04T08:58:16.7818329Z * [new tag] cslpull87 -> cslpull87 2025-12-04T08:58:16.7819691Z * [new tag] cslpull88 -> cslpull88 2025-12-04T08:58:16.7820956Z * [new tag] cslpull89 -> cslpull89 2025-12-04T08:58:16.7821988Z * [new tag] cslpull90 -> cslpull90 2025-12-04T08:58:16.7824030Z * [new tag] cslpull91 -> cslpull91 2025-12-04T08:58:16.7824984Z * [new tag] cslpull92 -> cslpull92 2025-12-04T08:58:16.7826643Z * [new tag] flight_5 -> flight_5 2025-12-04T08:58:16.7828225Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T08:58:16.7829481Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T08:58:16.7830991Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T08:58:16.7832632Z * [new tag] forpull1 -> forpull1 2025-12-04T08:58:16.7834311Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T08:58:16.7835422Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T08:58:16.7836940Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T08:58:16.7838414Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T08:58:16.7839893Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T08:58:16.7841561Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T08:58:16.7843591Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T08:58:16.7844702Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T08:58:16.7846659Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T08:58:16.7848017Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T08:58:16.7849381Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T08:58:16.7850724Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T08:58:16.7852152Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T08:58:16.7853388Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T08:58:16.7855232Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T08:58:16.7856464Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T08:58:16.7858087Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T08:58:16.7859334Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T08:58:16.7860718Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T08:58:16.7862156Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T08:58:16.7864060Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T08:58:16.7865275Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T08:58:16.7866581Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T08:58:16.7868008Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T08:58:16.7869314Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T08:58:16.7870612Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T08:58:16.7871992Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T08:58:16.7873396Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T08:58:16.7874345Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T08:58:16.7875691Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T08:58:16.7877023Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T08:58:16.7878313Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T08:58:16.7881277Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T08:58:16.7881715Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T08:58:16.7882336Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T08:58:16.7882718Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T08:58:16.7883999Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T08:58:16.7884999Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T08:58:16.7886367Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T08:58:16.7887662Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T08:58:16.7888528Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T08:58:16.7889872Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T08:58:16.7891144Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T08:58:16.7892392Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T08:58:16.7893597Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T08:58:16.7894843Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T08:58:16.7896008Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T08:58:16.7897230Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T08:58:16.7898420Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T08:58:16.7899628Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T08:58:16.7900627Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T08:58:16.7902084Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T08:58:16.7903519Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T08:58:16.7904556Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T08:58:16.7905858Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T08:58:16.7907081Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T08:58:16.7908253Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T08:58:16.7909497Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T08:58:16.7911246Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T08:58:16.7912126Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T08:58:16.7913379Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T08:58:16.7914929Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T08:58:16.7915795Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T08:58:16.7917251Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T08:58:16.7918522Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T08:58:16.7919740Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T08:58:16.7920654Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T08:58:16.7922147Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T08:58:16.7923360Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T08:58:16.7925236Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T08:58:16.7926280Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T08:58:16.7927539Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T08:58:16.7928733Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T08:58:16.7930015Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T08:58:16.7931287Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T08:58:16.7932510Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T08:58:16.7933754Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T08:58:16.7934968Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T08:58:16.7935901Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T08:58:16.7937286Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T08:58:16.7938500Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T08:58:16.7939396Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T08:58:16.7940835Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T08:58:16.7942144Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T08:58:16.7943441Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T08:58:16.7944368Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T08:58:16.7945674Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T08:58:16.7946933Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T08:58:16.7948201Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T08:58:16.7949393Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T08:58:16.7950599Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T08:58:16.7951828Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T08:58:16.7953069Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T08:58:16.7954278Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T08:58:16.7955419Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T08:58:16.7956795Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T08:58:16.7957966Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T08:58:16.7959195Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T08:58:16.7960347Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T08:58:16.7961634Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T08:58:16.7962822Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T08:58:16.7964032Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T08:58:16.7965328Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T08:58:16.7966640Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T08:58:16.7967850Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T08:58:16.7968933Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T08:58:16.7970196Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T08:58:16.7971401Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T08:58:16.7972676Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T08:58:16.7973876Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T08:58:16.7975188Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T08:58:16.7976408Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T08:58:16.7977339Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T08:58:16.7978647Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T08:58:16.7979875Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T08:58:16.7981191Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T08:58:16.7982456Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T08:58:16.7983364Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:58:16.7984597Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T08:58:16.7985834Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T08:58:16.7987078Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T08:58:16.7988343Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T08:58:16.7989729Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T08:58:16.7990995Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T08:58:16.7992466Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T08:58:16.7993966Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T08:58:16.7995168Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T08:58:16.7996206Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T08:58:16.7997814Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T08:58:16.7999021Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T08:58:16.8000237Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T08:58:16.8001536Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T08:58:16.8002909Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T08:58:16.8006921Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T08:58:16.8007696Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T08:58:16.8008452Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T08:58:16.8009235Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T08:58:16.8010005Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T08:58:16.8010791Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T08:58:16.8011859Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T08:58:16.8013305Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T08:58:16.8014656Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T08:58:16.8016074Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T08:58:16.8017389Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T08:58:16.8018842Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T08:58:16.8020431Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T08:58:16.8021762Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T08:58:16.8023296Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T08:58:16.8024795Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T08:58:16.8026029Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T08:58:16.8027268Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T08:58:16.8028239Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T08:58:16.8029647Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T08:58:16.8030889Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T08:58:16.8032091Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T08:58:16.8033116Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T08:58:16.8034190Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T08:58:16.8035518Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T08:58:16.8036907Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T08:58:16.8038186Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T08:58:16.8039450Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T08:58:16.8040738Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T08:58:16.8041988Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T08:58:16.8043284Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T08:58:16.8044533Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T08:58:16.8045766Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T08:58:16.8047026Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T08:58:16.8048268Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T08:58:16.8049486Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T08:58:16.8050785Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T08:58:16.8052052Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T08:58:16.8053300Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T08:58:16.8054540Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T08:58:16.8056029Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T08:58:16.8057355Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T08:58:16.8058541Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T08:58:16.8060078Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T08:58:16.8061290Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T08:58:16.8062572Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T08:58:16.8063897Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T08:58:16.8064931Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T08:58:16.8066455Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T08:58:16.8067784Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T08:58:16.8068988Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T08:58:16.8070243Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T08:58:16.8071528Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T08:58:16.8073162Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T08:58:16.8074421Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T08:58:16.8075665Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T08:58:16.8077076Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T08:58:16.8078370Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T08:58:16.8079537Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T08:58:16.8080789Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T08:58:16.8082025Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T08:58:16.8083282Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T08:58:16.8084563Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T08:58:16.8085797Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T08:58:16.8087132Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T08:58:16.8088361Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T08:58:16.8089624Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T08:58:16.8090829Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T08:58:16.8092144Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T08:58:16.8093643Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T08:58:16.8094976Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T08:58:16.8095968Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T08:58:16.8097345Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T08:58:16.8098666Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T08:58:16.8099687Z * [new tag] trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 2025-12-04T08:58:16.8101072Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T08:58:16.8102331Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T08:58:16.8103730Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T08:58:16.8105543Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T08:58:16.8106812Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T08:58:16.8108079Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T08:58:16.8109328Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T08:58:16.8110585Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T08:58:16.8111826Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T08:58:16.8113055Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T08:58:16.8114214Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T08:58:16.8115452Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T08:58:16.8116822Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T08:58:16.8118588Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T08:58:16.8119653Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T08:58:16.8121002Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T08:58:16.8123346Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T08:58:16.8124515Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T08:58:16.8125960Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:58:16.8134464Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T08:58:16.8134810Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T08:58:16.8135069Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T08:58:16.8135313Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T08:58:16.8135549Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T08:58:16.8135835Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T08:58:16.8136064Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T08:58:16.8136316Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T08:58:16.8137174Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T08:58:16.8138545Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T08:58:16.8139834Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T08:58:16.8141092Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T08:58:16.8142475Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T08:58:16.8143863Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T08:58:16.8145304Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T08:58:16.8146590Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T08:58:16.8148074Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T08:58:16.8149356Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T08:58:16.8150694Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T08:58:16.8151969Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T08:58:16.8153413Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T08:58:16.8154300Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T08:58:16.8155792Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T08:58:16.8157116Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T08:58:16.8158848Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T08:58:16.8160247Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T08:58:16.8161612Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T08:58:16.8162585Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T08:58:16.8164550Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T08:58:16.8165455Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T08:58:16.8166498Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T08:58:16.8167639Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T08:58:16.8168928Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T08:58:16.8170401Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T08:58:16.8171705Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T08:58:16.8173206Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T08:58:16.8174608Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T08:58:16.8175982Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T08:58:16.8176928Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T08:58:16.8178139Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T08:58:16.8179731Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T08:58:16.8181029Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T08:58:16.8182487Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T08:58:16.8183859Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T08:58:16.8185282Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T08:58:16.8186562Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T08:58:16.8188115Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T08:58:16.8189048Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T08:58:16.8190396Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T08:58:16.8191304Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T08:58:16.8193065Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T08:58:16.8194321Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T08:58:16.8195835Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T08:58:16.8197290Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T08:58:16.8198294Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T08:58:16.8199852Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T08:58:16.8201105Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T08:58:16.8202553Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T08:58:16.8204252Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T08:58:16.8204736Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T08:58:16.8205478Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T08:58:16.8206175Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T08:58:16.8207295Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T08:58:16.8207930Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T08:58:16.8208889Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T08:58:16.8209839Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T08:58:16.8210688Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T08:58:16.8211559Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T08:58:16.8212176Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T08:58:16.8213118Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T08:58:16.8214051Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T08:58:16.8214769Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T08:58:16.8215669Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T08:58:16.8216643Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T08:58:16.8217539Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T08:58:16.8218487Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T08:58:16.8219243Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T08:58:16.8219927Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T08:58:16.8221031Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T08:58:16.8221662Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T08:58:16.8222553Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T08:58:16.8223506Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T08:58:16.8224471Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T08:58:16.8225410Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T08:58:16.8226433Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T08:58:16.8227115Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T08:58:16.8228074Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T08:58:16.8228650Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T08:58:16.8229822Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T08:58:16.8230551Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T08:58:16.8231712Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T08:58:16.8232568Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T08:58:16.8233706Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T08:58:16.8234610Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T08:58:16.8235696Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T08:58:16.8236557Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T08:58:16.8237317Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T08:58:16.8238326Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T08:58:16.8238992Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T08:58:16.8240006Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T08:58:16.8240902Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T08:58:16.8241761Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T08:58:16.8242416Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T08:58:16.8243093Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T08:58:16.8244124Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T08:58:16.8244719Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T08:58:16.8245546Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T08:58:16.8246868Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T08:58:16.8247507Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T08:58:16.8248528Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T08:58:16.8249451Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T08:58:16.8250401Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T08:58:16.8251438Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T08:58:16.8252083Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T08:58:16.8253108Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T08:58:16.8254154Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T08:58:16.8254808Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T08:58:16.8255837Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T08:58:16.8256760Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T08:58:16.8257652Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T08:58:16.8258598Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T08:58:16.8259515Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T08:58:16.8260450Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T08:58:16.8261074Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T08:58:16.8262099Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T08:58:16.8263150Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T08:58:16.8263728Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T08:58:16.8264657Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T08:58:16.8265285Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T08:58:16.8266800Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T08:58:16.8267709Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T08:58:16.8268602Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T08:58:16.8269560Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T08:58:16.8270544Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T08:58:16.8271517Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T08:58:16.8272175Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T08:58:16.8273129Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T08:58:16.8274191Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T08:58:16.8275143Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T08:58:16.8276346Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T08:58:16.8277166Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T08:58:16.8278091Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T08:58:16.8278759Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T08:58:16.8279662Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T08:58:16.8280758Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T08:58:16.8281732Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T08:58:16.8282401Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T08:58:16.8283375Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T08:58:16.8284292Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T08:58:16.8285073Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T08:58:16.8286022Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T08:58:16.8286962Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T08:58:16.8287686Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T08:58:16.8288715Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T08:58:16.8289374Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T08:58:16.8290056Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T08:58:16.8291536Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T08:58:16.8292539Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T08:58:16.8293220Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T08:58:16.8293879Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T08:58:16.8294582Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T08:58:16.8295711Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T08:58:16.8296362Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T08:58:16.8297052Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T08:58:16.8298066Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T08:58:16.8299026Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T08:58:16.8300058Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T08:58:16.8300947Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T08:58:16.8301590Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T08:58:16.8302617Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T08:58:16.8303853Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T08:58:16.8304636Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T08:58:16.8305639Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T08:58:16.8306274Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T08:58:16.8307244Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T08:58:16.8308275Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T08:58:16.8308988Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T08:58:16.8309677Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T08:58:16.8310741Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T08:58:16.8311655Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T08:58:16.8312629Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T08:58:16.8313515Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T08:58:16.8314525Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T08:58:16.8315284Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T08:58:16.8316277Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T08:58:16.8317177Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T08:58:16.8318261Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T08:58:16.8319083Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T08:58:16.8320092Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T08:58:16.8321015Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T08:58:16.8321978Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T08:58:16.8322590Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T08:58:16.8323712Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T08:58:16.8324655Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T08:58:16.8325623Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T08:58:16.8326382Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T08:58:16.8327369Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T08:58:16.8328029Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T08:58:16.8329028Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T08:58:16.8329950Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T08:58:16.8330882Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T08:58:16.8331771Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T08:58:16.8332793Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T08:58:16.8333654Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T08:58:16.8334631Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T08:58:16.8335572Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T08:58:16.8336216Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T08:58:16.8336979Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T08:58:16.8337687Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T08:58:16.8338766Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T08:58:16.8339763Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T08:58:16.8340724Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T08:58:16.8341488Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T08:58:16.8342726Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T08:58:16.8343780Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T08:58:16.8344683Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T08:58:16.8345697Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T08:58:16.8346640Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T08:58:16.8347798Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T08:58:16.8348633Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T08:58:16.8349866Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T08:58:16.8350936Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T08:58:16.8351985Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T08:58:16.8352962Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T08:58:16.8353618Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T08:58:16.8354597Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T08:58:16.8355568Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T08:58:16.8356498Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T08:58:16.8357668Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T08:58:16.8358267Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T08:58:16.8359452Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T08:58:16.8360335Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T08:58:16.8361374Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T08:58:16.8362415Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T08:58:16.8363308Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T08:58:16.8364035Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T08:58:16.8364968Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T08:58:16.8365867Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T08:58:16.8367045Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T08:58:16.8367960Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T08:58:16.8369036Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T08:58:16.8370009Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T08:58:16.8371013Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T08:58:16.8371933Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T08:58:16.8372875Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T08:58:16.8373842Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T08:58:16.8374795Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T08:58:16.8375734Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T08:58:16.8377052Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T08:58:16.8377918Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T08:58:16.8378928Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T08:58:16.8379873Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T08:58:16.8381045Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T08:58:16.8382078Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T08:58:16.8383228Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T08:58:16.8383875Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T08:58:16.8384609Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T08:58:16.8385624Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T08:58:16.8386632Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T08:58:16.8387983Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T08:58:16.8388929Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T08:58:16.8389693Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T08:58:16.8390659Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T08:58:16.8391397Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T08:58:16.8392346Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T08:58:16.8393358Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T08:58:16.8394229Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T08:58:16.8394976Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T08:58:16.8396189Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T08:58:16.8397359Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T08:58:16.8398671Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T08:58:16.8399636Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T08:58:16.8400577Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T08:58:16.8401444Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T08:58:16.8402383Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T08:58:16.8403537Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T08:58:16.8404578Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T08:58:16.8405444Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T08:58:16.8406343Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T08:58:16.8407215Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T08:58:16.8408075Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T08:58:16.8408954Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T08:58:16.8409814Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T08:58:16.8410764Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T08:58:16.8411653Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T08:58:16.8412559Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T08:58:16.8413564Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T08:58:16.8414249Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T08:58:16.8415373Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T08:58:16.8416127Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T08:58:16.8417134Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T08:58:16.8418061Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T08:58:16.8419493Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T08:58:16.8420387Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T08:58:16.8421313Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T08:58:16.8422225Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T08:58:16.8423122Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T08:58:16.8424044Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T08:58:16.8424957Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T08:58:16.8425803Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T08:58:16.8426783Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T08:58:16.8427717Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T08:58:16.8428692Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T08:58:16.8429468Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T08:58:16.8430661Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T08:58:16.8431594Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T08:58:16.8432515Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T08:58:16.8433465Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T08:58:16.8434331Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T08:58:16.8435267Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T08:58:16.8436017Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T08:58:16.8437296Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T08:58:16.8438219Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T08:58:16.8438969Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T08:58:16.8439974Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T08:58:16.8440930Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T08:58:16.8441852Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T08:58:16.8442849Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T08:58:16.8443717Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T08:58:16.8444425Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T08:58:16.8445354Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T08:58:16.8446422Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T08:58:16.8447102Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T08:58:16.8448268Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T08:58:16.8449001Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T08:58:16.8449937Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T08:58:16.8450881Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T08:58:16.8451654Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T08:58:16.8452452Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T08:58:16.8453440Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T08:58:16.8454405Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T08:58:16.8455365Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T08:58:16.8456252Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T08:58:16.8457125Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T08:58:16.8458025Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T08:58:16.8458834Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T08:58:16.8459888Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T08:58:16.8460668Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T08:58:16.8461709Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T08:58:16.8462611Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T08:58:16.8463482Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T08:58:16.8464392Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T08:58:16.8465171Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T08:58:16.8466216Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T08:58:16.8467150Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T08:58:16.8468021Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T08:58:16.8468909Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T08:58:16.8469896Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T08:58:16.8470664Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T08:58:16.8471710Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T08:58:16.8472905Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T08:58:16.8473665Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T08:58:16.8474715Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T08:58:16.8475460Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T08:58:16.8476219Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T08:58:16.8477335Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T08:58:16.8478732Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T08:58:16.8479677Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T08:58:16.8480403Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T08:58:16.8481449Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T08:58:16.8482570Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T08:58:16.8483531Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T08:58:16.8484300Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T08:58:16.8485066Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T08:58:16.8486198Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T08:58:16.8487093Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T08:58:16.8488163Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T08:58:16.8488928Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T08:58:16.8489988Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T08:58:16.8490769Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T08:58:16.8491829Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T08:58:16.8492646Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T08:58:16.8493701Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T08:58:16.8494579Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T08:58:16.8495610Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T08:58:16.8496526Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T08:58:16.8497439Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T08:58:16.8498360Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T08:58:16.8499296Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T08:58:16.8500233Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T08:58:16.8501147Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T08:58:16.8502029Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T08:58:16.8503105Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T08:58:16.8507622Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T08:58:16.8508708Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T08:58:16.8509679Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T08:58:16.8510632Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T08:58:16.8511585Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T08:58:16.8512545Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T08:58:16.8513473Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T08:58:16.8514189Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T08:58:16.8514922Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T08:58:16.8515947Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T08:58:16.8516978Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T08:58:16.8517752Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T08:58:16.8518794Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T08:58:16.8519811Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T08:58:16.8520791Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T08:58:16.8521807Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T08:58:16.8522781Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T08:58:16.8523696Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T08:58:16.8524997Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T08:58:16.8525893Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T08:58:16.8526844Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T08:58:16.8527736Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T08:58:16.8528731Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T08:58:16.8530155Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T08:58:16.8531104Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T08:58:16.8531809Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T08:58:16.8532802Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T08:58:16.8533738Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T08:58:16.8534619Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T08:58:16.8535365Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T08:58:16.8536346Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T08:58:16.8537137Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T08:58:16.8538154Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T08:58:16.8539096Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T08:58:16.8539852Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T08:58:16.8540870Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T08:58:16.8541747Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T08:58:16.8543059Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T08:58:16.8543990Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T08:58:16.8544849Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T08:58:16.8545830Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T08:58:16.8548115Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T08:58:16.8549038Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T08:58:16.8549981Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T08:58:16.8550922Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T08:58:16.8551808Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T08:58:16.8552796Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T08:58:16.8553805Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T08:58:16.8554713Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T08:58:16.8555504Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T08:58:16.8556515Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T08:58:16.8557508Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T08:58:16.8558435Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T08:58:16.8559400Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T08:58:16.8560356Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T08:58:16.8561236Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T08:58:16.8562033Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T08:58:16.8562993Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T08:58:16.8563875Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T08:58:16.8564683Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T08:58:16.8565657Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T08:58:16.8566606Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T08:58:16.8567508Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T08:58:16.8568377Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T08:58:16.8569304Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T08:58:16.8570277Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T08:58:16.8571176Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T08:58:16.8571944Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T08:58:16.8572948Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T08:58:16.8573854Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T08:58:16.8574816Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T08:58:16.8575785Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T08:58:16.8576646Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T08:58:16.8577654Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T08:58:16.8578588Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T08:58:16.8579517Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T08:58:16.8580496Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T08:58:16.8581389Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T08:58:16.8582319Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T08:58:16.8583321Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T08:58:16.8584322Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T08:58:16.8585218Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T08:58:16.8586187Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T08:58:16.8587445Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T08:58:16.8588416Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T08:58:16.8589348Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T08:58:16.8590212Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T08:58:16.8591157Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T08:58:16.8592016Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T08:58:16.8592928Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T08:58:16.8593860Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T08:58:16.8594800Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T08:58:16.8595713Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T08:58:16.8596540Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T08:58:16.8597672Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T08:58:16.8598499Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T08:58:16.8599630Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T08:58:16.8600423Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T08:58:16.8601434Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T08:58:16.8602421Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T08:58:16.8603565Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T08:58:16.8604846Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T08:58:16.8605778Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T08:58:16.8606925Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T08:58:16.8607703Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T08:58:16.8608709Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T08:58:16.8609591Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T08:58:16.8610569Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T08:58:16.8611460Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T08:58:16.8612339Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T08:58:16.8613305Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T08:58:16.8614443Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T08:58:16.8615462Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T08:58:16.8616410Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T08:58:16.8617318Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T08:58:16.8618301Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T08:58:16.8619160Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T08:58:16.8620090Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T08:58:16.8621188Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T08:58:16.8622113Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T08:58:16.8622903Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T08:58:16.8623890Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T08:58:16.8624905Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T08:58:16.8625885Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T08:58:16.8626809Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T08:58:16.8627732Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T08:58:16.8628625Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T08:58:16.8629711Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T08:58:16.8630610Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T08:58:16.8631567Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T08:58:16.8632504Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T08:58:16.8633533Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T08:58:16.8634506Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T08:58:16.8635517Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T08:58:16.8636797Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T08:58:16.8637864Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T08:58:16.8638852Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T08:58:16.8639945Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T08:58:16.8641258Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T08:58:16.8642244Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T08:58:16.8643168Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T08:58:16.8644088Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T08:58:16.8645049Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T08:58:16.8645957Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T08:58:16.8647019Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T08:58:16.8648161Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T08:58:16.8649188Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T08:58:16.8650109Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T08:58:16.8651048Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T08:58:16.8651995Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T08:58:16.8652894Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T08:58:16.8653856Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T08:58:16.8654559Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T08:58:16.8655610Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T08:58:16.8656630Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T08:58:16.8657389Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T08:58:16.8658386Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T08:58:16.8659352Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T08:58:16.8660328Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T08:58:16.8661235Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T08:58:16.8662177Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T08:58:16.8663203Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T08:58:16.8664163Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T08:58:16.8665034Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T08:58:16.8666067Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T08:58:16.8667240Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T08:58:16.8667931Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T08:58:16.8668973Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T08:58:16.8669760Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T08:58:16.8670772Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T08:58:16.8671870Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T08:58:16.8672733Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T08:58:16.8673777Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T08:58:16.8674682Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T08:58:16.8675634Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T08:58:16.8676745Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T08:58:16.8677811Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T08:58:16.8678786Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T08:58:16.8679752Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T08:58:16.8680850Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T08:58:16.8681860Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T08:58:16.8682860Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T08:58:16.8683808Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T08:58:16.8684819Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T08:58:16.8685820Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T08:58:16.8686835Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T08:58:16.8687576Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T08:58:16.8688625Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T08:58:16.8689595Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T08:58:16.8690568Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T08:58:16.8691630Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T08:58:16.8693011Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T08:58:16.8693940Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T08:58:16.8694917Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T08:58:16.8695855Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T08:58:16.8696872Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T08:58:16.8697862Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T08:58:16.8698794Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T08:58:16.8699781Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T08:58:16.8700769Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T08:58:16.8701753Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T08:58:16.8702848Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T08:58:16.8703886Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T08:58:16.8704767Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T08:58:16.8705816Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T08:58:16.8706832Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T08:58:16.8707931Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T08:58:16.8708985Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T08:58:16.8709970Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T08:58:16.8710995Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T08:58:16.8711974Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T08:58:16.8712931Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T08:58:16.8713913Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T08:58:16.8714876Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T08:58:16.8715815Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T08:58:16.8716902Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T08:58:16.8717905Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T08:58:16.8718902Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T08:58:16.8719854Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T08:58:16.8720862Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T08:58:16.8721842Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T08:58:16.8722877Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T08:58:16.8723787Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T08:58:16.8724731Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T08:58:16.8725685Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T08:58:16.8726618Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T08:58:16.8729579Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T08:58:16.8729793Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T08:58:16.8730132Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T08:58:16.8730882Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T08:58:16.8732116Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T08:58:16.8733085Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T08:58:16.8734059Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T08:58:16.8735121Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T08:58:16.8736135Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T08:58:16.8737060Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T08:58:16.8738043Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T08:58:16.8739016Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T08:58:16.8740027Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T08:58:16.8741103Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T08:58:16.8742066Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T08:58:16.8743006Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T08:58:16.8743770Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T08:58:16.8745146Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T08:58:16.8745880Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T08:58:16.8746969Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T08:58:16.8747991Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T08:58:16.8748945Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T08:58:16.8749897Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T08:58:16.8750845Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T08:58:16.8751800Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T08:58:16.8752758Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T08:58:16.8753722Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T08:58:16.8754672Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T08:58:16.8755669Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T08:58:16.8756770Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T08:58:16.8758012Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T08:58:16.8759091Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T08:58:16.8759789Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T08:58:16.8760875Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T08:58:16.8761901Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T08:58:16.8762644Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T08:58:16.8764020Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T08:58:16.8764933Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T08:58:16.8765922Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T08:58:16.8767025Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T08:58:16.8767771Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T08:58:16.8768905Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T08:58:16.8769875Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T08:58:16.8770871Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T08:58:16.8771825Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T08:58:16.8773022Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T08:58:16.8773781Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T08:58:16.8774733Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T08:58:16.8775443Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T08:58:16.8776542Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T08:58:16.8777525Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T08:58:16.8778242Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T08:58:16.8779644Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T08:58:16.8780657Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T08:58:16.8781610Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T08:58:16.8782650Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T08:58:16.8783653Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T08:58:16.8784660Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T08:58:16.8785594Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T08:58:16.8786655Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T08:58:16.8787992Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T08:58:16.8789004Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T08:58:16.8790002Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T08:58:16.8790985Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T08:58:16.8791976Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T08:58:16.8792926Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T08:58:16.8793964Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T08:58:16.8795395Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T08:58:16.8796472Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T08:58:16.8797595Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T08:58:16.8798559Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T08:58:16.8799572Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T08:58:16.8800578Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T08:58:16.8801514Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T08:58:16.8802593Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T08:58:16.8803855Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T08:58:16.8804962Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T08:58:16.8806075Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T08:58:16.8807077Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T08:58:16.8808054Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T08:58:16.8808988Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T08:58:16.8810001Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T08:58:16.8810754Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T08:58:16.8811832Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T08:58:16.8812776Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T08:58:16.8813563Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T08:58:16.8814625Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T08:58:16.8815629Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T08:58:16.8816367Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T08:58:16.8817465Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T08:58:16.8818436Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T08:58:16.8819401Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T08:58:16.8820393Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T08:58:16.8821330Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T08:58:16.8822352Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T08:58:16.8823325Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T08:58:16.8824321Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T08:58:16.8825377Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T08:58:16.8826381Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T08:58:16.8827349Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T08:58:16.8828295Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T08:58:16.8829253Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T08:58:16.8830218Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T08:58:16.8831233Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T08:58:16.8832194Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T08:58:16.8833145Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T08:58:16.8834134Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T08:58:16.8835221Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T08:58:16.8836304Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T08:58:16.8837554Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T08:58:16.8838529Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T08:58:16.8839504Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T08:58:16.8840455Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T08:58:16.8841600Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T08:58:16.8842649Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T08:58:16.8843685Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T08:58:16.8844635Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T08:58:16.8845623Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T08:58:16.8846639Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T08:58:16.8847622Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T08:58:16.8848796Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T08:58:16.8849784Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T08:58:16.8850804Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T08:58:16.8851508Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T08:58:16.8852700Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T08:58:16.8853637Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T08:58:16.8854652Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T08:58:16.8855646Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T08:58:16.8856652Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T08:58:16.8858168Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T08:58:16.8859206Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T08:58:16.8860546Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T08:58:16.8861303Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T08:58:16.8862430Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T08:58:16.8863466Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T08:58:16.8864412Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T08:58:16.8865401Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T08:58:16.8866150Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T08:58:16.8867273Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T08:58:16.8868273Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T08:58:16.8869019Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T08:58:16.8870209Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T08:58:16.8871230Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T08:58:16.8872396Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T08:58:16.8873421Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T08:58:16.8874369Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T08:58:16.8875569Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T08:58:16.8876561Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T08:58:16.8877684Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T08:58:16.8878655Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T08:58:16.8879379Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T08:58:16.8880510Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T08:58:16.8881480Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T08:58:16.8882477Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T08:58:16.8883570Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T08:58:16.8884677Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T08:58:16.8885626Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T08:58:16.8886680Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T08:58:16.8887653Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T08:58:16.8888650Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T08:58:16.8889944Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T08:58:16.8891012Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T08:58:16.8891891Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T08:58:16.8892873Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T08:58:16.8893872Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T08:58:16.8894954Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T08:58:16.8895913Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T08:58:16.8896948Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T08:58:16.8897906Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T08:58:16.8898920Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T08:58:16.8899983Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T08:58:16.8900994Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T08:58:16.8901970Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T08:58:16.8903159Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T08:58:16.8904243Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T08:58:16.8905243Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T08:58:16.8906332Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T08:58:16.8907313Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T08:58:16.8908170Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T08:58:16.8909051Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T08:58:16.8910116Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T08:58:16.8910902Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T08:58:16.8911928Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T08:58:16.8912922Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T08:58:16.8913889Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T08:58:16.8914991Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T08:58:16.8915962Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T08:58:16.8916970Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T08:58:16.8918576Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T08:58:16.8919600Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T08:58:16.8920670Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T08:58:16.8921436Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T08:58:16.8922514Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T08:58:16.8923706Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T08:58:16.8924481Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T08:58:16.8925815Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T08:58:16.8926830Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T08:58:16.8927843Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T08:58:16.8929523Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T08:58:16.8930519Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T08:58:16.8931542Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T08:58:16.8932506Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T08:58:16.8933476Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T08:58:16.8934467Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T08:58:16.8935659Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T08:58:16.8936822Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T08:58:16.8937796Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T08:58:16.8938793Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T08:58:16.8939654Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T08:58:16.8940701Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T08:58:16.8941719Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T08:58:16.8942748Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T08:58:16.8943512Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T08:58:16.8944589Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T08:58:16.8945614Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T08:58:16.8946683Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T08:58:16.8947666Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T08:58:16.8948660Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T08:58:16.8949659Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T08:58:16.8950722Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T08:58:16.8951689Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T08:58:16.8952476Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T08:58:16.8953551Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T08:58:16.8954565Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T08:58:16.8955341Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T08:58:16.8956263Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T08:58:16.8957114Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T08:58:16.8958244Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T08:58:16.8959358Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T08:58:16.8960309Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T08:58:16.8961306Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T08:58:16.8962355Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T08:58:16.8963416Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T08:58:16.8964464Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T08:58:16.8965409Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T08:58:16.8966400Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T08:58:16.8967506Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T08:58:16.8968411Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T08:58:16.8969471Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T08:58:16.8970448Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T08:58:16.8971441Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T08:58:16.8972422Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T08:58:16.8973533Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T08:58:16.8974485Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T08:58:16.8975501Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T08:58:16.8976546Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T08:58:16.8977480Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T08:58:16.8978476Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T08:58:16.8979514Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T08:58:16.8980632Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T08:58:16.8981615Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T08:58:16.8982645Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T08:58:16.8983425Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T08:58:16.8984631Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T08:58:16.8985630Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T08:58:16.8986725Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T08:58:16.8987729Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T08:58:16.8988705Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T08:58:16.8989641Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T08:58:16.8991093Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T08:58:16.8991848Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T08:58:16.8992925Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T08:58:16.8993873Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T08:58:16.8995034Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T08:58:16.8996014Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T08:58:16.8997068Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T08:58:16.8998050Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T08:58:16.8999054Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T08:58:16.9000047Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T08:58:16.9001040Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T08:58:16.9001820Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T08:58:16.9003120Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T08:58:16.9004121Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T08:58:16.9005174Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T08:58:16.9006150Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T08:58:16.9007129Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T08:58:16.9008111Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T08:58:16.9009095Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T08:58:16.9010163Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T08:58:16.9011119Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T08:58:16.9011843Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T08:58:16.9012922Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T08:58:16.9014092Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T08:58:16.9015064Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T08:58:16.9016023Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T08:58:16.9017217Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T08:58:16.9017933Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T08:58:16.9019206Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T08:58:16.9020085Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T08:58:16.9021114Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T08:58:16.9022096Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T08:58:16.9023107Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T08:58:16.9024347Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T08:58:16.9025286Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T08:58:16.9026308Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T08:58:16.9027292Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T08:58:16.9028217Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T08:58:16.9029171Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T08:58:16.9030194Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T08:58:16.9031250Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T08:58:16.9031952Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T08:58:16.9033133Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T08:58:16.9034091Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T08:58:16.9034864Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T08:58:16.9035903Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T08:58:16.9036945Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T08:58:16.9037941Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T08:58:16.9039038Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T08:58:16.9039946Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T08:58:16.9040933Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T08:58:16.9041967Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T08:58:16.9042688Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T08:58:16.9043705Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T08:58:16.9044942Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T08:58:16.9045907Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T08:58:16.9046681Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T08:58:16.9047617Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T08:58:16.9048321Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T08:58:16.9049255Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T08:58:16.9049957Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T08:58:16.9050888Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T08:58:16.9051598Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T08:58:16.9052520Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T08:58:16.9053820Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T08:58:16.9054484Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T08:58:16.9055432Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T08:58:16.9056156Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T08:58:16.9057086Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T08:58:16.9057774Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T08:58:16.9058685Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T08:58:16.9059409Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T08:58:16.9060308Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T08:58:16.9061030Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T08:58:16.9062041Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T08:58:16.9062746Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T08:58:16.9063690Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T08:58:16.9064408Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T08:58:16.9065343Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T08:58:16.9066067Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T08:58:16.9067158Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T08:58:16.9068126Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T08:58:16.9069285Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T08:58:16.9809409Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T08:58:16.9832435Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:58:16.9836410Z ##[endgroup] 2025-12-04T08:58:16.9836804Z ##[group]Determining the checkout info 2025-12-04T08:58:16.9837276Z ##[endgroup] 2025-12-04T08:58:16.9841246Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T08:58:16.9870249Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T08:58:16.9900228Z ##[group]Checking out the ref 2025-12-04T08:58:16.9903699Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:58:18.0291415Z Updating files: 81% (16372/20121) 2025-12-04T08:58:18.0497203Z Updating files: 82% (16500/20121) 2025-12-04T08:58:18.0644717Z Updating files: 83% (16701/20121) 2025-12-04T08:58:18.0778684Z Updating files: 84% (16902/20121) 2025-12-04T08:58:18.0934667Z Updating files: 85% (17103/20121) 2025-12-04T08:58:18.1086450Z Updating files: 86% (17305/20121) 2025-12-04T08:58:18.1228160Z Updating files: 87% (17506/20121) 2025-12-04T08:58:18.1336623Z Updating files: 88% (17707/20121) 2025-12-04T08:58:18.1468992Z Updating files: 89% (17908/20121) 2025-12-04T08:58:18.1635648Z Updating files: 90% (18109/20121) 2025-12-04T08:58:18.1747738Z Updating files: 91% (18311/20121) 2025-12-04T08:58:18.1897900Z Updating files: 92% 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You can look around, make experimental 2025-12-04T08:58:18.3481482Z changes and commit them, and you can discard any commits you make in this 2025-12-04T08:58:18.3482051Z state without impacting any branches by switching back to a branch. 2025-12-04T08:58:18.3482392Z 2025-12-04T08:58:18.3482603Z If you want to create a new branch to retain commits you create, you may 2025-12-04T08:58:18.3483120Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T08:58:18.3483416Z 2025-12-04T08:58:18.3483539Z git switch -c 2025-12-04T08:58:18.3483738Z 2025-12-04T08:58:18.3483846Z Or undo this operation with: 2025-12-04T08:58:18.3484042Z 2025-12-04T08:58:18.3484131Z git switch - 2025-12-04T08:58:18.3484276Z 2025-12-04T08:58:18.3484520Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T08:58:18.3484876Z 2025-12-04T08:58:18.3485161Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T08:58:18.3552381Z ##[endgroup] 2025-12-04T08:58:18.3552825Z ##[group]Setting up auth for fetching submodules 2025-12-04T08:58:18.3559036Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:58:18.3609048Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T08:58:18.3635477Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T08:58:18.3660511Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T08:58:18.3683133Z ##[endgroup] 2025-12-04T08:58:18.3683618Z ##[group]Fetching submodules 2025-12-04T08:58:18.3688331Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T08:58:18.4029981Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T08:58:18.4362192Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T08:58:18.4363291Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T08:58:18.4366362Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T08:58:18.4369376Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T08:58:18.4373145Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T08:58:18.4378673Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T08:58:18.4383139Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T08:58:18.4386538Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T08:58:18.4390092Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T08:58:18.4393977Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T08:58:18.4397703Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T08:58:18.4401149Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T08:58:18.4405659Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T08:58:18.4409105Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T08:58:18.4413021Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T08:58:18.4417814Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T08:58:18.4423335Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T08:58:18.4427479Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T08:58:18.4431866Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:58:18.4436031Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T08:58:18.4440703Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T08:58:18.4445089Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T08:58:18.4449648Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T08:58:18.4454145Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T08:58:18.4459179Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T08:58:18.4463814Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T08:58:18.4468569Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T08:58:18.4473368Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T08:58:18.4478804Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T08:58:18.4483678Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T08:58:18.4488864Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T08:58:18.4494111Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T08:58:18.4499566Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T08:58:18.4507153Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T08:58:18.4512824Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T08:58:18.4518420Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T08:58:18.4524206Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T08:58:18.4557786Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T08:58:18.6723113Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T08:58:18.6724682Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T08:58:18.6749954Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T08:58:31.2092125Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T08:58:31.2093577Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T08:58:31.2094993Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T08:58:31.2096431Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T08:58:31.2097889Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T08:58:31.2099428Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T08:58:31.2100981Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T08:58:31.2102608Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T08:58:31.2104468Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T08:58:31.2105950Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T08:58:31.2107337Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T08:58:31.2108777Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T08:58:31.2110396Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T08:58:31.2112056Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T08:58:31.2113519Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T08:58:31.2114996Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T08:58:31.2116535Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T08:58:31.2118129Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T08:58:31.2119626Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T08:58:31.2121155Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T08:58:31.2122613Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T08:58:31.2124228Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T08:58:31.2125762Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T08:58:31.2385345Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T08:58:32.4789279Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T08:58:32.5256873Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T08:59:04.8381158Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T08:59:04.8382839Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T08:59:04.8383574Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T08:59:04.8384322Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T08:59:04.8385044Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T08:59:04.8385776Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T08:59:04.8386495Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T08:59:04.8542080Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T08:59:04.8665858Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T08:59:04.8761476Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T08:59:04.9011934Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T08:59:04.9857729Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T08:59:05.0427993Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T08:59:05.7827217Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T08:59:05.9728992Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T08:59:05.9749266Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:59:05.9776201Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T08:59:11.1249218Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T08:59:11.1490600Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T08:59:11.5056389Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:59:11.5582443Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T08:59:11.6556428Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T08:59:11.7044722Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T08:59:12.3558631Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T08:59:12.5124956Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T08:59:12.5152104Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T08:59:12.5156105Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:59:12.5159313Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:59:12.5162260Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T08:59:12.5165155Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T08:59:12.5168202Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:59:12.5171112Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T08:59:12.5199393Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T08:59:14.3281950Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T08:59:14.3283805Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T08:59:14.3285536Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T08:59:14.4282732Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T08:59:18.3735447Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T08:59:18.4736494Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T08:59:22.2856838Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T08:59:22.6430416Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:59:22.7437405Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T08:59:23.3785845Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T08:59:23.4254069Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:59:23.4373126Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T08:59:23.5389764Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T08:59:23.6104304Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T08:59:23.6125048Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:59:23.6127383Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:59:23.6154630Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T08:59:28.6446973Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T08:59:28.8919341Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T08:59:29.4597841Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T08:59:29.6007118Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T08:59:29.6308154Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T08:59:29.6714742Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T08:59:29.6970981Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T08:59:29.7427032Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:59:29.7561750Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T08:59:29.7577904Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T08:59:29.7603377Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T08:59:47.4248613Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T08:59:47.4456893Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T08:59:47.5322280Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T08:59:47.5341350Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:59:47.5343384Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:59:47.5346709Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:59:47.5375493Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T08:59:48.4158691Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T08:59:49.4095141Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T08:59:49.5008549Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T08:59:49.5025984Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:59:49.5028600Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:59:49.5031392Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:59:49.5034215Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:59:49.5037164Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:59:49.5040405Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:59:49.5043454Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:59:49.5046646Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:59:49.5050130Z 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' 2025-12-04T08:59:49.5079704Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T08:59:52.0048915Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T08:59:52.0050597Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T08:59:52.0052294Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T08:59:52.0053542Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T08:59:52.0054754Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T08:59:52.0055952Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T08:59:52.0057188Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T08:59:52.1050033Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T08:59:59.2579553Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T08:59:59.2763131Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T08:59:59.3133249Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T08:59:59.3269747Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T08:59:59.3286124Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:59:59.3312585Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-12-04T08:59:59.6125849Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-12-04T08:59:59.6316845Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-12-04T08:59:59.6772622Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:59:59.7780841Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-12-04T08:59:59.7954758Z 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' 2025-12-04T09:00:24.2832509Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-12-04T09:00:24.3121474Z Entering 'android/libs/fbjni' 2025-12-04T09:00:24.3174225Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-12-04T09:00:24.3190383Z Entering 'third_party/FP16' 2025-12-04T09:00:24.3245693Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-12-04T09:00:24.3262714Z Entering 'third_party/FXdiv' 2025-12-04T09:00:24.3314831Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-12-04T09:00:24.3331614Z Entering 'third_party/NNPACK' 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2025-12-04T09:00:25.2755632Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:00:25.2797946Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:00:25.2841404Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:00:25.2881352Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:00:25.2921417Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:00:25.2960994Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:00:25.3004477Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:00:25.3045245Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:00:25.3109162Z Entering 'third_party/pocketfft' 2025-12-04T09:00:25.3151574Z Entering 'third_party/protobuf' 2025-12-04T09:00:25.3195795Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:00:25.3237388Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:00:25.3278672Z Entering 'third_party/psimd' 2025-12-04T09:00:25.3323235Z Entering 'third_party/pthreadpool' 2025-12-04T09:00:25.3365843Z Entering 'third_party/pybind11' 2025-12-04T09:00:25.3407396Z Entering 'third_party/python-peachpy' 2025-12-04T09:00:25.3448445Z Entering 'third_party/sleef' 2025-12-04T09:00:25.3489728Z Entering 'third_party/tensorpipe' 2025-12-04T09:00:25.3531985Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:00:25.3573257Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:00:25.3614216Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:00:25.3654799Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:00:25.3693442Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:00:25.3751404Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T09:00:25.4043817Z Entering 'android/libs/fbjni' 2025-12-04T09:00:25.4088268Z Entering 'third_party/FP16' 2025-12-04T09:00:25.4131794Z Entering 'third_party/FXdiv' 2025-12-04T09:00:25.4174767Z Entering 'third_party/NNPACK' 2025-12-04T09:00:25.4217254Z Entering 'third_party/NVTX' 2025-12-04T09:00:25.4258932Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:00:25.4300579Z Entering 'third_party/XNNPACK' 2025-12-04T09:00:25.4361442Z Entering 'third_party/aiter' 2025-12-04T09:00:25.4405675Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:00:25.4455320Z Entering 'third_party/benchmark' 2025-12-04T09:00:25.4497615Z Entering 'third_party/composable_kernel' 2025-12-04T09:00:25.4548506Z Entering 'third_party/cpp-httplib' 2025-12-04T09:00:25.4590629Z Entering 'third_party/cpuinfo' 2025-12-04T09:00:25.4634388Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:00:25.4676077Z Entering 'third_party/cutlass' 2025-12-04T09:00:25.4726418Z Entering 'third_party/fbgemm' 2025-12-04T09:00:25.4769899Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:00:25.4810198Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:00:25.4865784Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:00:25.4907289Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:00:25.4958034Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:00:25.4998253Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:00:25.5038167Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:00:25.5081763Z Entering 'third_party/flash-attention' 2025-12-04T09:00:25.5125239Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:00:25.5176428Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:00:25.5228396Z Entering 'third_party/flatbuffers' 2025-12-04T09:00:25.5273706Z Entering 'third_party/fmt' 2025-12-04T09:00:25.5315962Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:00:25.5359343Z Entering 'third_party/gloo' 2025-12-04T09:00:25.5401815Z Entering 'third_party/googletest' 2025-12-04T09:00:25.5444282Z Entering 'third_party/ideep' 2025-12-04T09:00:25.5485624Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:00:25.5538996Z Entering 'third_party/ittapi' 2025-12-04T09:00:25.5581123Z Entering 'third_party/kineto' 2025-12-04T09:00:25.5623003Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:00:25.5663444Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:00:25.5706243Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:00:25.5748007Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:00:25.5788638Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:00:25.5828371Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:00:25.5870533Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:00:25.5911509Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:00:25.5952081Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:00:25.5994331Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:00:25.6038390Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:00:25.6079455Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:00:25.6122830Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:00:25.6167417Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:00:25.6208275Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:00:25.6250239Z Entering 'third_party/kleidiai' 2025-12-04T09:00:25.6293662Z Entering 'third_party/mimalloc' 2025-12-04T09:00:25.6335499Z Entering 'third_party/nlohmann' 2025-12-04T09:00:25.6381190Z Entering 'third_party/onnx' 2025-12-04T09:00:25.6441951Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:00:25.6485994Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:00:25.6529394Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:00:25.6569151Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:00:25.6610311Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:00:25.6651210Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:00:25.6692534Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:00:25.6733127Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:00:25.6772990Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:00:25.6813710Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:00:25.6855530Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:00:25.6897134Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:00:25.6959076Z Entering 'third_party/pocketfft' 2025-12-04T09:00:25.7001313Z Entering 'third_party/protobuf' 2025-12-04T09:00:25.7045832Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:00:25.7086398Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:00:25.7130569Z Entering 'third_party/psimd' 2025-12-04T09:00:25.7172846Z Entering 'third_party/pthreadpool' 2025-12-04T09:00:25.7215476Z Entering 'third_party/pybind11' 2025-12-04T09:00:25.7257775Z Entering 'third_party/python-peachpy' 2025-12-04T09:00:25.7298610Z Entering 'third_party/sleef' 2025-12-04T09:00:25.7341979Z Entering 'third_party/tensorpipe' 2025-12-04T09:00:25.7386009Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:00:25.7426780Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:00:25.7466665Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:00:25.7506977Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:00:25.7546441Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:00:25.7602257Z ##[endgroup] 2025-12-04T09:00:25.7635722Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T09:00:25.7656770Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:00:25.7776827Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T09:00:25.7777469Z cd "${GITHUB_WORKSPACE}" 2025-12-04T09:00:25.7777798Z # Clean stale submodule dirs 2025-12-04T09:00:25.7778130Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T09:00:25.7778528Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T09:00:25.7778910Z else 2025-12-04T09:00:25.7779216Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T09:00:25.7779586Z fi 2025-12-04T09:00:25.7788936Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:25.7789329Z env: 2025-12-04T09:00:25.7789551Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:25.7789960Z NO_SUDO: true 2025-12-04T09:00:25.7790190Z ##[endgroup] 2025-12-04T09:00:25.8114001Z Entering 'android/libs/fbjni' 2025-12-04T09:00:25.8147556Z Entering 'third_party/FP16' 2025-12-04T09:00:25.8177936Z Entering 'third_party/FXdiv' 2025-12-04T09:00:25.8207288Z Entering 'third_party/NNPACK' 2025-12-04T09:00:25.8241588Z Entering 'third_party/NVTX' 2025-12-04T09:00:25.8280484Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:00:25.8313318Z Entering 'third_party/XNNPACK' 2025-12-04T09:00:25.8434607Z Entering 'third_party/aiter' 2025-12-04T09:00:25.8477233Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:00:25.8582176Z Entering 'third_party/benchmark' 2025-12-04T09:00:25.8615897Z Entering 'third_party/composable_kernel' 2025-12-04T09:00:25.8733936Z Entering 'third_party/cpp-httplib' 2025-12-04T09:00:25.8767961Z Entering 'third_party/cpuinfo' 2025-12-04T09:00:25.8803566Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:00:25.8839356Z Entering 'third_party/cutlass' 2025-12-04T09:00:25.8938545Z Entering 'third_party/fbgemm' 2025-12-04T09:00:25.8999682Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:00:25.9029858Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:00:25.9149048Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:00:25.9182677Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:00:25.9279522Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:00:25.9312473Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:00:25.9344621Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:00:25.9388537Z Entering 'third_party/flash-attention' 2025-12-04T09:00:25.9430174Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:00:25.9525181Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:00:25.9616577Z Entering 'third_party/flatbuffers' 2025-12-04T09:00:25.9686781Z Entering 'third_party/fmt' 2025-12-04T09:00:25.9719350Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:00:25.9752567Z Entering 'third_party/gloo' 2025-12-04T09:00:25.9787243Z Entering 'third_party/googletest' 2025-12-04T09:00:25.9821912Z Entering 'third_party/ideep' 2025-12-04T09:00:25.9852349Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:00:25.9932719Z Entering 'third_party/ittapi' 2025-12-04T09:00:25.9967266Z Entering 'third_party/kineto' 2025-12-04T09:00:26.0002020Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:00:26.0038615Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:00:26.0082051Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:00:26.0113119Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:00:26.0144158Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:00:26.0172596Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:00:26.0206545Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:00:26.0237976Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:00:26.0270386Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:00:26.0309122Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:00:26.0339408Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:00:26.0369709Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:00:26.0416787Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:00:26.0455490Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:00:26.0486619Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:00:26.0519870Z Entering 'third_party/kleidiai' 2025-12-04T09:00:26.0559252Z Entering 'third_party/mimalloc' 2025-12-04T09:00:26.0592050Z Entering 'third_party/nlohmann' 2025-12-04T09:00:26.0636007Z Entering 'third_party/onnx' 2025-12-04T09:00:26.0958385Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:00:26.0994089Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:00:26.1047868Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:00:26.1078493Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:00:26.1111008Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:00:26.1139666Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:00:26.1179941Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:00:26.1210526Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:00:26.1241068Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:00:26.1271680Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:00:26.1317874Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:00:26.1351271Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:00:26.1605813Z Entering 'third_party/pocketfft' 2025-12-04T09:00:26.1636517Z Entering 'third_party/protobuf' 2025-12-04T09:00:26.1711849Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:00:26.1741722Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:00:26.1778491Z Entering 'third_party/psimd' 2025-12-04T09:00:26.1808734Z Entering 'third_party/pthreadpool' 2025-12-04T09:00:26.1839182Z Entering 'third_party/pybind11' 2025-12-04T09:00:26.1879563Z Entering 'third_party/python-peachpy' 2025-12-04T09:00:26.1904187Z Entering 'third_party/sleef' 2025-12-04T09:00:26.1937022Z Entering 'third_party/tensorpipe' 2025-12-04T09:00:26.1970463Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:00:26.2001666Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:00:26.2030500Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:00:26.2063856Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:00:26.2092534Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:00:26.2250527Z Prepare all required actions 2025-12-04T09:00:26.2251152Z Getting action download info 2025-12-04T09:00:26.3723219Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T09:00:26.3723538Z env: 2025-12-04T09:00:26.3723759Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:26.3724025Z ##[endgroup] 2025-12-04T09:00:26.3762483Z ##[group]Run set -euo pipefail 2025-12-04T09:00:26.3762838Z set -euo pipefail 2025-12-04T09:00:26.3763142Z function get_ec2_metadata() { 2025-12-04T09:00:26.3763537Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T09:00:26.3764178Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T09:00:26.3764770Z  category=$1 2025-12-04T09:00:26.3765141Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T09:00:26.3765584Z  runner_name_str=i-07ec34d4429e531a0 2025-12-04T09:00:26.3765984Z  if [[ -f /.inarc ]]; then 2025-12-04T09:00:26.3766333Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T09:00:26.3766746Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T09:00:26.3767229Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T09:00:26.3767674Z  else 2025-12-04T09:00:26.3768547Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-12-04T09:00:26.3769488Z  fi 2025-12-04T09:00:26.3769708Z } 2025-12-04T09:00:26.3769980Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T09:00:26.3770406Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T09:00:26.3770905Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T09:00:26.3771333Z echo "system info $(uname -a)" 2025-12-04T09:00:26.3778724Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:26.3779129Z env: 2025-12-04T09:00:26.3779351Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:26.3779605Z ##[endgroup] 2025-12-04T09:00:26.3930684Z ami-id: ami-08982f1c5bf93d976 2025-12-04T09:00:26.4030957Z instance-id: i-07ec34d4429e531a0 2025-12-04T09:00:26.4148523Z instance-type: c5.2xlarge 2025-12-04T09:00:26.4160229Z system info Linux ip-10-0-4-54.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T09:00:26.4180294Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:00:26.4180783Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:00:26.4187229Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:26.4187617Z env: 2025-12-04T09:00:26.4187837Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:26.4188101Z ##[endgroup] 2025-12-04T09:00:26.4244864Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:00:26.4245978Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:00:26.4251954Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:26.4252340Z env: 2025-12-04T09:00:26.4252569Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:26.4252833Z ##[endgroup] 2025-12-04T09:00:26.4300731Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T09:00:26.4301177Z if systemctl is-active --quiet docker; then 2025-12-04T09:00:26.4301574Z  echo "Docker daemon is running..."; 2025-12-04T09:00:26.4301911Z else 2025-12-04T09:00:26.4302265Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T09:00:26.4302895Z fi 2025-12-04T09:00:26.4308376Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:26.4308779Z env: 2025-12-04T09:00:26.4308987Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:26.4309252Z ##[endgroup] 2025-12-04T09:00:26.4386071Z Docker daemon is running... 2025-12-04T09:00:26.4429845Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:00:26.4430144Z with: 2025-12-04T09:00:26.4430354Z shell: bash 2025-12-04T09:00:26.4430582Z timeout_minutes: 5 2025-12-04T09:00:26.4430816Z max_attempts: 3 2025-12-04T09:00:26.4431060Z retry_wait_seconds: 30 2025-12-04T09:00:26.4433444Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-12-04T09:00:26.4435851Z polling_interval_seconds: 1 2025-12-04T09:00:26.4436145Z warning_on_retry: true 2025-12-04T09:00:26.4436471Z continue_on_error: false 2025-12-04T09:00:26.4436859Z env: 2025-12-04T09:00:26.4437079Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:26.4437356Z AWS_RETRY_MODE: standard 2025-12-04T09:00:26.4437611Z AWS_MAX_ATTEMPTS: 5 2025-12-04T09:00:26.4437879Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T09:00:26.4438164Z ##[endgroup] 2025-12-04T09:00:27.5589568Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:00:27.5590225Z Configure a credential helper to remove this warning. See 2025-12-04T09:00:27.5591233Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:00:27.5591667Z 2025-12-04T09:00:27.5591758Z Login Succeeded 2025-12-04T09:00:28.5261816Z Command completed after 1 attempt(s). 2025-12-04T09:00:28.5310931Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:00:28.5311577Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:00:28.5312055Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:00:28.5320454Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:28.5320837Z env: 2025-12-04T09:00:28.5321063Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:28.5321333Z ##[endgroup] 2025-12-04T09:00:28.5409009Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:00:28.5409605Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:00:28.5410049Z # shellcheck disable=SC2046 2025-12-04T09:00:28.5410390Z docker stop $(docker ps -q) || true 2025-12-04T09:00:28.5410754Z # Prune all of the docker images 2025-12-04T09:00:28.5411112Z docker system prune -af 2025-12-04T09:00:28.5417828Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:28.5418361Z env: 2025-12-04T09:00:28.5418595Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:28.5418872Z ##[endgroup] 2025-12-04T09:00:28.5891084Z "docker stop" requires at least 1 argument. 2025-12-04T09:00:28.5891498Z See 'docker stop --help'. 2025-12-04T09:00:28.5891676Z 2025-12-04T09:00:28.5891844Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T09:00:28.5892139Z 2025-12-04T09:00:28.5892251Z Stop one or more running containers 2025-12-04T09:00:28.6100652Z Total reclaimed space: 0B 2025-12-04T09:00:28.6295614Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T09:00:28.6296106Z with: 2025-12-04T09:00:28.6296850Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:28.6297696Z use-custom-docker-registry: true 2025-12-04T09:00:28.6298019Z docker-build-dir: .ci/docker 2025-12-04T09:00:28.6298335Z docker-build-script: ./build.sh 2025-12-04T09:00:28.6298630Z working-directory: . 2025-12-04T09:00:28.6298987Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:00:28.6299395Z force-push: false 2025-12-04T09:00:28.6299630Z env: 2025-12-04T09:00:28.6299832Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:28.6300094Z ##[endgroup] 2025-12-04T09:00:28.6319047Z ##[group]Run set -ex 2025-12-04T09:00:28.6319347Z set -ex 2025-12-04T09:00:28.6319576Z  2025-12-04T09:00:28.6320019Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T09:00:28.6320706Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T09:00:28.6321296Z # job could then download the pre-built image as usual 2025-12-04T09:00:28.6322005Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T09:00:28.6322669Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T09:00:28.6323011Z else 2025-12-04T09:00:28.6323281Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:00:28.6323739Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:00:28.6324151Z  2025-12-04T09:00:28.6324731Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T09:00:28.6325392Z  exit 0 2025-12-04T09:00:28.6325608Z fi 2025-12-04T09:00:28.6325820Z  2025-12-04T09:00:28.6326165Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T09:00:28.6326781Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T09:00:28.6327337Z  # use it as it is, but first let's extract the tag 2025-12-04T09:00:28.6327839Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T09:00:28.6328367Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:00:28.6328874Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:00:28.6329284Z else 2025-12-04T09:00:28.6329560Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T09:00:28.6329963Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T09:00:28.6330364Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T09:00:28.6330720Z  fi 2025-12-04T09:00:28.6331189Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T09:00:28.6331824Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:00:28.6332479Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:00:28.6333353Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:00:28.6333806Z fi 2025-12-04T09:00:28.6339755Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:28.6340132Z env: 2025-12-04T09:00:28.6340355Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:28.6340624Z REPO_NAME: pytorch 2025-12-04T09:00:28.6341512Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:28.6342344Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:00:28.6342642Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T09:00:28.6343020Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:00:28.6343436Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T09:00:28.6343733Z CUSTOM_TAG_PREFIX: 2025-12-04T09:00:28.6343977Z ##[endgroup] 2025-12-04T09:00:28.6368421Z + [[ -d .ci/docker ]] 2025-12-04T09:00:28.6368794Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T09:00:28.6369074Z + [[ true == \t\r\u\e ]] 2025-12-04T09:00:28.6369332Z + echo skip=false 2025-12-04T09:00:28.6370343Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-12-04T09:00:28.6376015Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:28.6376944Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T09:00:28.6397904Z + DOCKER_TAG=pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:28.6398710Z + echo docker-tag=pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:28.6399771Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:28.6422962Z ##[group]Run set +e 2025-12-04T09:00:28.6423278Z set +e 2025-12-04T09:00:28.6423504Z set -x 2025-12-04T09:00:28.6423730Z  2025-12-04T09:00:28.6423944Z login() { 2025-12-04T09:00:28.6424671Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:00:28.6425209Z } 2025-12-04T09:00:28.6425427Z  2025-12-04T09:00:28.6425633Z retry () { 2025-12-04T09:00:28.6425930Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:00:28.6426258Z } 2025-12-04T09:00:28.6426459Z  2025-12-04T09:00:28.6426701Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:00:28.6427019Z  2025-12-04T09:00:28.6427247Z START_TIME=$(date +%s) 2025-12-04T09:00:28.6427539Z # Wait up to 120 minutes 2025-12-04T09:00:28.6427914Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T09:00:28.6428431Z  # Check if image already exists, if it does then skip building it 2025-12-04T09:00:28.6428929Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T09:00:28.6429304Z  exit 0 2025-12-04T09:00:28.6429541Z  fi 2025-12-04T09:00:28.6429753Z  2025-12-04T09:00:28.6430148Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T09:00:28.6430834Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T09:00:28.6431516Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T09:00:28.6432042Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T09:00:28.6432453Z  # It's a Docker build job, let's build the image 2025-12-04T09:00:28.6432813Z  break 2025-12-04T09:00:28.6433184Z  else 2025-12-04T09:00:28.6433527Z  # It's a regular build job, wait for the image to become available 2025-12-04T09:00:28.6433958Z  sleep 300 2025-12-04T09:00:28.6434214Z  fi 2025-12-04T09:00:28.6434426Z done 2025-12-04T09:00:28.6434648Z  2025-12-04T09:00:28.6435010Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T09:00:28.6435587Z # be empty. The default action would be to continue rebuild the image 2025-12-04T09:00:28.6436204Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T09:00:28.6436763Z  # if we're on the base branch then use the parent commit 2025-12-04T09:00:28.6437185Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T09:00:28.6437499Z else 2025-12-04T09:00:28.6437837Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T09:00:28.6438332Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T09:00:28.6438696Z fi 2025-12-04T09:00:28.6438919Z  2025-12-04T09:00:28.6439155Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T09:00:28.6439522Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:00:28.6439849Z  2025-12-04T09:00:28.6440325Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T09:00:28.6440892Z  exit 0 2025-12-04T09:00:28.6441109Z fi 2025-12-04T09:00:28.6441327Z  2025-12-04T09:00:28.6441637Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T09:00:28.6442340Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T09:00:28.6442934Z  exit 1 2025-12-04T09:00:28.6443162Z fi 2025-12-04T09:00:28.6443381Z  2025-12-04T09:00:28.6443742Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T09:00:28.6444419Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T09:00:28.6445024Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T09:00:28.6445725Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T09:00:28.6446615Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T09:00:28.6447090Z fi 2025-12-04T09:00:28.6447307Z  2025-12-04T09:00:28.6447561Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:00:28.6453341Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:28.6453733Z env: 2025-12-04T09:00:28.6453957Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:28.6454228Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:00:28.6454595Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:00:28.6455479Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:28.6456492Z DOCKER_TAG: pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:28.6457116Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:00:28.6457518Z DOCKER_PUSH: 2025-12-04T09:00:28.6457750Z ##[endgroup] 2025-12-04T09:00:28.6481253Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:00:28.6481700Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:00:28.6484019Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:00:28.6485305Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:00:29.1694697Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:00:29.1695952Z Configure a credential helper to remove this warning. See 2025-12-04T09:00:29.1696880Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:00:29.1697303Z 2025-12-04T09:00:29.1708558Z Login Succeeded 2025-12-04T09:00:29.1721515Z ++ date +%s 2025-12-04T09:00:29.1731426Z + START_TIME=1764838829 2025-12-04T09:00:29.1734677Z ++ date +%s 2025-12-04T09:00:29.1743727Z + [[ 1764831629 -lt 1764838829 ]] 2025-12-04T09:00:29.1745196Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:29.4014401Z { 2025-12-04T09:00:29.4014939Z "schemaVersion": 2, 2025-12-04T09:00:29.4015785Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T09:00:29.4016274Z "config": { 2025-12-04T09:00:29.4016774Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T09:00:29.4017197Z "size": 33515, 2025-12-04T09:00:29.4017660Z "digest": "sha256:6cd35e8b81e20fb08308a37a4142d023916ffbe9fe457fc6ff2ef9b1b4f1d300" 2025-12-04T09:00:29.4018218Z }, 2025-12-04T09:00:29.4018407Z "layers": [ 2025-12-04T09:00:29.4018620Z { 2025-12-04T09:00:29.4018956Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4019371Z "size": 30447951, 2025-12-04T09:00:29.4020019Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T09:00:29.4020869Z }, 2025-12-04T09:00:29.4021201Z { 2025-12-04T09:00:29.4021743Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4022404Z "size": 1554, 2025-12-04T09:00:29.4023095Z "digest": "sha256:30752e5b2ca10184d21c8e8965ea36787f76398720e735a2fb7b69fdf061fd65" 2025-12-04T09:00:29.4023864Z }, 2025-12-04T09:00:29.4024065Z { 2025-12-04T09:00:29.4024397Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4024817Z "size": 313276181, 2025-12-04T09:00:29.4025265Z "digest": "sha256:a9c81a7a11a0e3b70dc2032af20124df5598e79464f942bc9f87cf2166dfe30b" 2025-12-04T09:00:29.4025743Z }, 2025-12-04T09:00:29.4025924Z { 2025-12-04T09:00:29.4026255Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4026677Z "size": 787, 2025-12-04T09:00:29.4027102Z "digest": "sha256:72fdbe0833af8604a9c1d4a8937929ee1c162559459e12217d2d0f06462e57b2" 2025-12-04T09:00:29.4027797Z }, 2025-12-04T09:00:29.4028078Z { 2025-12-04T09:00:29.4028599Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4029308Z "size": 106, 2025-12-04T09:00:29.4029969Z "digest": "sha256:6e81e960816665c6d279237f255dce6410ee01347906cfc24f582e7b5ef8cd8b" 2025-12-04T09:00:29.4030773Z }, 2025-12-04T09:00:29.4030960Z { 2025-12-04T09:00:29.4031292Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4031714Z "size": 703, 2025-12-04T09:00:29.4032110Z "digest": "sha256:9da72b34ce9352988fca031247ffeaba622c39db44393514594a19955f9d3adf" 2025-12-04T09:00:29.4032592Z }, 2025-12-04T09:00:29.4032785Z { 2025-12-04T09:00:29.4033103Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4033523Z "size": 1218, 2025-12-04T09:00:29.4033937Z "digest": "sha256:128dbd7907580b7aff536fb92a47033d0a86f5126fcf94cedeb436d3252306bf" 2025-12-04T09:00:29.4034402Z }, 2025-12-04T09:00:29.4034594Z { 2025-12-04T09:00:29.4034925Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4035362Z "size": 484, 2025-12-04T09:00:29.4035757Z "digest": "sha256:21a2a9be992e490cc49e2f03c34ac3b20e70ec977b16071306750291be6b6139" 2025-12-04T09:00:29.4036236Z }, 2025-12-04T09:00:29.4036431Z { 2025-12-04T09:00:29.4036822Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4037250Z "size": 110362289, 2025-12-04T09:00:29.4037689Z "digest": "sha256:dff900ec4da00e1121b0a3412bcf81bbd135ff6ea189df1449d103339e036639" 2025-12-04T09:00:29.4038371Z }, 2025-12-04T09:00:29.4038565Z { 2025-12-04T09:00:29.4038897Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4039309Z "size": 4961, 2025-12-04T09:00:29.4039723Z "digest": "sha256:e79a3e26018b409fa0e6d672917a3d8a61ba6d7ac74db58322075c725437d0a2" 2025-12-04T09:00:29.4040207Z }, 2025-12-04T09:00:29.4040393Z { 2025-12-04T09:00:29.4040725Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4041146Z "size": 1755, 2025-12-04T09:00:29.4041671Z "digest": "sha256:f5bdb43737f98f52b369b86532cc0d7efc9cb1a28d22e2352e5ea88af4a63a7f" 2025-12-04T09:00:29.4042143Z }, 2025-12-04T09:00:29.4042340Z { 2025-12-04T09:00:29.4042675Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4043085Z "size": 724, 2025-12-04T09:00:29.4043508Z "digest": "sha256:641016cdb5e296fee5a10de9f17039a01aabb7313ed94fd1a2c5790deddab9f6" 2025-12-04T09:00:29.4043994Z }, 2025-12-04T09:00:29.4044175Z { 2025-12-04T09:00:29.4044505Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4044921Z "size": 544, 2025-12-04T09:00:29.4045319Z "digest": "sha256:6bb83e8ba54439845de074ef4e84d538d8e3a8b96588901ca2be646d6448310f" 2025-12-04T09:00:29.4045792Z }, 2025-12-04T09:00:29.4045983Z { 2025-12-04T09:00:29.4046297Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4046720Z "size": 3353202991, 2025-12-04T09:00:29.4047147Z "digest": "sha256:f0dc417b59242a5697911e6a5ed0e612f652f6c56b1661af0119090d0d5cfa20" 2025-12-04T09:00:29.4047617Z }, 2025-12-04T09:00:29.4047798Z { 2025-12-04T09:00:29.4048126Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4048548Z "size": 32, 2025-12-04T09:00:29.4048946Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:00:29.4138079Z }, 2025-12-04T09:00:29.4138260Z { 2025-12-04T09:00:29.4138585Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4139003Z "size": 188, 2025-12-04T09:00:29.4139398Z "digest": "sha256:d16568aa39355b2400c318d630d748f75e88a16f09f7a4f2fc46d9a211f6371b" 2025-12-04T09:00:29.4139867Z }, 2025-12-04T09:00:29.4140057Z { 2025-12-04T09:00:29.4140392Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4140802Z "size": 1371, 2025-12-04T09:00:29.4141226Z "digest": "sha256:793cdf25a8ee993271b73b63cde1baa263fef2a9c063ef62d0b1144a5cbe4186" 2025-12-04T09:00:29.4141713Z }, 2025-12-04T09:00:29.4141895Z { 2025-12-04T09:00:29.4142228Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4142658Z "size": 32, 2025-12-04T09:00:29.4143063Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:00:29.4143551Z }, 2025-12-04T09:00:29.4143749Z { 2025-12-04T09:00:29.4144069Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4144495Z "size": 136, 2025-12-04T09:00:29.4144916Z "digest": "sha256:42bf83e33d130261a7d0234cef1608300fcfdfc3d9b8d5f14878d8c7fe037bba" 2025-12-04T09:00:29.4145400Z }, 2025-12-04T09:00:29.4145587Z { 2025-12-04T09:00:29.4145924Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4146343Z "size": 529, 2025-12-04T09:00:29.4146740Z "digest": "sha256:41b0d6d6b4503259ea8bc25a7bd5f998a638027b22e8ba32f06f255ab8710afb" 2025-12-04T09:00:29.4147214Z }, 2025-12-04T09:00:29.4147405Z { 2025-12-04T09:00:29.4147721Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4148151Z "size": 32, 2025-12-04T09:00:29.4148560Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:00:29.4149027Z }, 2025-12-04T09:00:29.4149217Z { 2025-12-04T09:00:29.4149540Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4149946Z "size": 104, 2025-12-04T09:00:29.4150349Z "digest": "sha256:4825e455ff0696015761c409eb87d908cfa8552e7e581b59b03006d88a8bd6c1" 2025-12-04T09:00:29.4150816Z }, 2025-12-04T09:00:29.4151007Z { 2025-12-04T09:00:29.4151325Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4151746Z "size": 435, 2025-12-04T09:00:29.4152169Z "digest": "sha256:d2ac7d81eed33745460f60baf6ebdbf1a82dc37b6c67b15d4f9bb889fe8baf36" 2025-12-04T09:00:29.4152650Z }, 2025-12-04T09:00:29.4152845Z { 2025-12-04T09:00:29.4153180Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4153590Z "size": 32, 2025-12-04T09:00:29.4154081Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:00:29.4154602Z }, 2025-12-04T09:00:29.4154861Z { 2025-12-04T09:00:29.4155197Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4155620Z "size": 109, 2025-12-04T09:00:29.4156033Z "digest": "sha256:d0bcde0dde547f4da9db1f08dfdfcd814078e7051ee36b3a296cd7cc3e2c1431" 2025-12-04T09:00:29.4156525Z }, 2025-12-04T09:00:29.4156793Z { 2025-12-04T09:00:29.4157204Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4157619Z "size": 1896, 2025-12-04T09:00:29.4158030Z "digest": "sha256:08344d511b0f5d8668238a207ef342423c1bc3fd2b0371d74118ecc96b216b84" 2025-12-04T09:00:29.4158508Z }, 2025-12-04T09:00:29.4158692Z { 2025-12-04T09:00:29.4159026Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4159452Z "size": 245589968, 2025-12-04T09:00:29.4159866Z "digest": "sha256:55aea5680838307ab86d721717f85ad51e0e2b1520edf4ed07a4a9050dd5b33e" 2025-12-04T09:00:29.4160345Z }, 2025-12-04T09:00:29.4160538Z { 2025-12-04T09:00:29.4160857Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4161278Z "size": 106, 2025-12-04T09:00:29.4161690Z "digest": "sha256:ad5eed087a50de11b8dc8c17d80fd59375370208e59bf5730d8b3f17ef2dcca8" 2025-12-04T09:00:29.4162171Z }, 2025-12-04T09:00:29.4162350Z { 2025-12-04T09:00:29.4162808Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4163235Z "size": 164, 2025-12-04T09:00:29.4163628Z "digest": "sha256:18b2b5752a0a77f52832ba268a06cda5e8c55c024f33f448356f15473b920245" 2025-12-04T09:00:29.4164103Z }, 2025-12-04T09:00:29.4164297Z { 2025-12-04T09:00:29.4164613Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4165034Z "size": 7944, 2025-12-04T09:00:29.4165548Z "digest": "sha256:1da08ec3242747716e2efab7c052c19c5d885deff86b2ae51829855db0e5581a" 2025-12-04T09:00:29.4166079Z }, 2025-12-04T09:00:29.4166271Z { 2025-12-04T09:00:29.4166599Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4167007Z "size": 8076, 2025-12-04T09:00:29.4167434Z "digest": "sha256:e0f8886b39c7bfa36deedaefc90a09b138e89f9d14aab8d4de15c088f122bb9d" 2025-12-04T09:00:29.4167919Z }, 2025-12-04T09:00:29.4168109Z { 2025-12-04T09:00:29.4168424Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4168847Z "size": 304, 2025-12-04T09:00:29.4169262Z "digest": "sha256:2c01af6cf5cf63c15757a70d1f62006394350f66107a901d5088afbdc1456de9" 2025-12-04T09:00:29.4169725Z }, 2025-12-04T09:00:29.4169916Z { 2025-12-04T09:00:29.4170244Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4170654Z "size": 32, 2025-12-04T09:00:29.4171068Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:00:29.4171560Z }, 2025-12-04T09:00:29.4171745Z { 2025-12-04T09:00:29.4172081Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4172502Z "size": 108, 2025-12-04T09:00:29.4172903Z "digest": "sha256:42e06e175ff05e8259c1daf3a71b1fe0b5d1a877648aa4d952b14e8480cf8371" 2025-12-04T09:00:29.4173382Z }, 2025-12-04T09:00:29.4185839Z { 2025-12-04T09:00:29.4186247Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4186698Z "size": 54145699, 2025-12-04T09:00:29.4187157Z "digest": "sha256:d226ae4fa11db4ce059156fe5bff9f9d8d2d831080fe62b3a3a01f7b209ae890" 2025-12-04T09:00:29.4187636Z }, 2025-12-04T09:00:29.4187828Z { 2025-12-04T09:00:29.4188158Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:00:29.4188570Z "size": 32, 2025-12-04T09:00:29.4188986Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:00:29.4189469Z } 2025-12-04T09:00:29.4189788Z ] 2025-12-04T09:00:29.4189965Z } 2025-12-04T09:00:29.4190178Z + exit 0 2025-12-04T09:00:29.4216805Z ##[group]Run set -eux 2025-12-04T09:00:29.4217086Z set -eux 2025-12-04T09:00:29.4217496Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T09:00:29.4218802Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-12-04T09:00:29.4225575Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:29.4225959Z env: 2025-12-04T09:00:29.4226167Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:29.4226434Z ##[endgroup] 2025-12-04T09:00:29.4255659Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T09:00:29.4256519Z + jq --raw-output .SecretString 2025-12-04T09:00:29.4257641Z + jq -r .docker_hub_readonly_token 2025-12-04T09:00:29.4259368Z + docker login --username pytorchbot --password-stdin 2025-12-04T09:00:30.2526199Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:00:30.2526913Z Configure a credential helper to remove this warning. See 2025-12-04T09:00:30.2527696Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:00:30.2528319Z 2025-12-04T09:00:30.2528422Z Login Succeeded 2025-12-04T09:00:30.2609442Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:00:30.2609841Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:00:30.2610252Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T09:00:30.2616272Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:30.2616664Z env: 2025-12-04T09:00:30.2616888Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:30.2617673Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:30.2618489Z ##[endgroup] 2025-12-04T09:00:30.2644359Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:30.2689853Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T09:00:30.2690290Z with: 2025-12-04T09:00:30.2691011Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:30.2691923Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:00:30.2692321Z env: 2025-12-04T09:00:30.2692525Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:30.2692793Z ##[endgroup] 2025-12-04T09:00:30.2707490Z ##[group]Run set -x 2025-12-04T09:00:30.2707773Z set -x 2025-12-04T09:00:30.2707999Z set +e 2025-12-04T09:00:30.2708233Z  2025-12-04T09:00:30.2708462Z login() { 2025-12-04T09:00:30.2708944Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:00:30.2709499Z } 2025-12-04T09:00:30.2709713Z  2025-12-04T09:00:30.2709959Z retry () { 2025-12-04T09:00:30.2710231Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:00:30.2710559Z } 2025-12-04T09:00:30.2710774Z  2025-12-04T09:00:30.2711015Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:00:30.2711323Z  2025-12-04T09:00:30.2711827Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T09:00:30.2712517Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T09:00:30.2712891Z  2025-12-04T09:00:30.2713107Z set -e 2025-12-04T09:00:30.2713467Z # ignore output since only exit code is used for conditional 2025-12-04T09:00:30.2713981Z # only pull docker image if it's not available locally 2025-12-04T09:00:30.2714656Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T09:00:30.2715193Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T09:00:30.2715532Z fi 2025-12-04T09:00:30.2721159Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:30.2721552Z env: 2025-12-04T09:00:30.2721784Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:30.2722563Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:30.2723459Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:00:30.2723868Z ##[endgroup] 2025-12-04T09:00:30.2746242Z + set +e 2025-12-04T09:00:30.2746834Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:00:30.2747315Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:00:30.2750080Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:00:30.2751038Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:00:30.7906067Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:00:30.7906748Z Configure a credential helper to remove this warning. See 2025-12-04T09:00:30.7907448Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:00:30.7908175Z 2025-12-04T09:00:30.7911987Z Login Succeeded 2025-12-04T09:00:30.7927611Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:30.7928633Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T09:00:30.9973019Z + IMAGE_SIZE=7650.416152954102 2025-12-04T09:00:30.9973430Z Compressed size of image in MB: 7650.416152954102 2025-12-04T09:00:30.9973877Z + echo 'Compressed size of image in MB: 7650.416152954102' 2025-12-04T09:00:30.9974274Z + set -e 2025-12-04T09:00:30.9975400Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:31.0100562Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:31.0101902Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:31.2443177Z pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T09:00:31.2445196Z 63e5bc7682b8: Pulling fs layer 2025-12-04T09:00:31.2445827Z 30752e5b2ca1: Pulling fs layer 2025-12-04T09:00:31.2446469Z a9c81a7a11a0: Pulling fs layer 2025-12-04T09:00:31.2446960Z 72fdbe0833af: Pulling fs layer 2025-12-04T09:00:31.2447409Z 6e81e9608166: Pulling fs layer 2025-12-04T09:00:31.2447859Z 9da72b34ce93: Pulling fs layer 2025-12-04T09:00:31.2448755Z 128dbd790758: Pulling fs layer 2025-12-04T09:00:31.2449359Z 21a2a9be992e: Pulling fs layer 2025-12-04T09:00:31.2449878Z dff900ec4da0: Pulling fs layer 2025-12-04T09:00:31.2450308Z e79a3e26018b: Pulling fs layer 2025-12-04T09:00:31.2450751Z f5bdb43737f9: Pulling fs layer 2025-12-04T09:00:31.2451129Z 641016cdb5e2: Pulling fs layer 2025-12-04T09:00:31.2451504Z 6bb83e8ba544: Pulling fs layer 2025-12-04T09:00:31.2452003Z f0dc417b5924: Pulling fs layer 2025-12-04T09:00:31.2452456Z 4f4fb700ef54: Pulling fs layer 2025-12-04T09:00:31.2452961Z 5af67f01dbe5: Pulling fs layer 2025-12-04T09:00:31.2453372Z 7eb916054f46: Pulling fs layer 2025-12-04T09:00:31.2453828Z dff900ec4da0: Waiting 2025-12-04T09:00:31.2454124Z e79a3e26018b: Waiting 2025-12-04T09:00:31.2454379Z 0827867e01b9: Pulling fs layer 2025-12-04T09:00:31.2454661Z 8a07e639f07e: Pulling fs layer 2025-12-04T09:00:31.2454920Z 128dbd790758: Waiting 2025-12-04T09:00:31.2455227Z a5c47596306a: Pulling fs layer 2025-12-04T09:00:31.2455770Z f5bdb43737f9: Waiting 2025-12-04T09:00:31.2456048Z 0af610737b2b: Pulling fs layer 2025-12-04T09:00:31.2456321Z 21a2a9be992e: Waiting 2025-12-04T09:00:31.2456665Z 641016cdb5e2: Waiting 2025-12-04T09:00:31.2456926Z f4ed4f2b5c86: Pulling fs layer 2025-12-04T09:00:31.2457204Z 029d8980b23d: Pulling fs layer 2025-12-04T09:00:31.2457540Z 6bb83e8ba544: Waiting 2025-12-04T09:00:31.2457798Z 06e55b00e509: Pulling fs layer 2025-12-04T09:00:31.2458122Z 7d78a6fe33db: Pulling fs layer 2025-12-04T09:00:31.2458403Z 72fdbe0833af: Waiting 2025-12-04T09:00:31.2458673Z 7ca71f279200: Pulling fs layer 2025-12-04T09:00:31.2459044Z 4f4fb700ef54: Waiting 2025-12-04T09:00:31.2459285Z 82bd3a282094: Pulling fs layer 2025-12-04T09:00:31.2459554Z 6e81e9608166: Waiting 2025-12-04T09:00:31.2459930Z c3d337834f2d: Pulling fs layer 2025-12-04T09:00:31.2460290Z 7e3ffb5ddd20: Pulling fs layer 2025-12-04T09:00:31.2460630Z 2339aeeca708: Pulling fs layer 2025-12-04T09:00:31.2461011Z a5c47596306a: Waiting 2025-12-04T09:00:31.2461300Z 0af610737b2b: Waiting 2025-12-04T09:00:31.2461545Z f4ed4f2b5c86: Waiting 2025-12-04T09:00:31.2461785Z 06e55b00e509: Waiting 2025-12-04T09:00:31.2462564Z d4ff12c35a14: Pulling fs layer 2025-12-04T09:00:31.2463412Z 029d8980b23d: Waiting 2025-12-04T09:00:31.2463810Z 0d163c6a3b15: Pulling fs layer 2025-12-04T09:00:31.2464181Z d0aba21c8480: Pulling fs layer 2025-12-04T09:00:31.2464518Z 7d78a6fe33db: Waiting 2025-12-04T09:00:31.2464765Z f0dc417b5924: Waiting 2025-12-04T09:00:31.2465006Z 7ca71f279200: Waiting 2025-12-04T09:00:31.2465247Z 71cc5e5ae875: Pulling fs layer 2025-12-04T09:00:31.2465537Z 926ea049049d: Pulling fs layer 2025-12-04T09:00:31.2465814Z 6807383937ea: Pulling fs layer 2025-12-04T09:00:31.2466071Z 82bd3a282094: Waiting 2025-12-04T09:00:31.2466318Z 9a2cd2173445: Pulling fs layer 2025-12-04T09:00:31.2466652Z 9da72b34ce93: Waiting 2025-12-04T09:00:31.2466893Z c213c538e6ee: Pulling fs layer 2025-12-04T09:00:31.2467210Z 7018792fc5e6: Pulling fs layer 2025-12-04T09:00:31.2467495Z c3d337834f2d: Waiting 2025-12-04T09:00:31.2467769Z a60f1d8ec81e: Pulling fs layer 2025-12-04T09:00:31.2468043Z 7e3ffb5ddd20: Waiting 2025-12-04T09:00:31.2468287Z 2339aeeca708: Waiting 2025-12-04T09:00:31.2468717Z d4ff12c35a14: Waiting 2025-12-04T09:00:31.2468970Z e3603921529a: Pulling fs layer 2025-12-04T09:00:31.2469258Z bbac46df16c5: Pulling fs layer 2025-12-04T09:00:31.2469522Z 0d163c6a3b15: Waiting 2025-12-04T09:00:31.2469762Z 0827867e01b9: Waiting 2025-12-04T09:00:31.2470015Z 8905fef67e5e: Pulling fs layer 2025-12-04T09:00:31.2470394Z 71cc5e5ae875: Waiting 2025-12-04T09:00:31.2470639Z d0aba21c8480: Waiting 2025-12-04T09:00:31.2470888Z b33d553f2696: Pulling fs layer 2025-12-04T09:00:31.2471163Z 926ea049049d: Waiting 2025-12-04T09:00:31.2471400Z bf9911063608: Pulling fs layer 2025-12-04T09:00:31.2471879Z fd20a4669326: Pulling fs layer 2025-12-04T09:00:31.2472195Z e3603921529a: Waiting 2025-12-04T09:00:31.2472456Z 73f306c3e01a: Pulling fs layer 2025-12-04T09:00:31.2472814Z bbac46df16c5: Waiting 2025-12-04T09:00:31.2473065Z 6807383937ea: Waiting 2025-12-04T09:00:31.2473305Z 8654f85cb798: Pulling fs layer 2025-12-04T09:00:31.2473581Z 8905fef67e5e: Waiting 2025-12-04T09:00:31.2473827Z b33d553f2696: Waiting 2025-12-04T09:00:31.2474053Z c213c538e6ee: Waiting 2025-12-04T09:00:31.2474291Z bf9911063608: Waiting 2025-12-04T09:00:31.2474531Z 9a2cd2173445: Waiting 2025-12-04T09:00:31.2474770Z 285afe6f5fc0: Pulling fs layer 2025-12-04T09:00:31.2475045Z fd20a4669326: Waiting 2025-12-04T09:00:31.2475294Z abb119825988: Pulling fs layer 2025-12-04T09:00:31.2475592Z 8a07e639f07e: Waiting 2025-12-04T09:00:31.2475831Z 7018792fc5e6: Waiting 2025-12-04T09:00:31.2476084Z 8c34a8a72ede: Pulling fs layer 2025-12-04T09:00:31.2476350Z a60f1d8ec81e: Waiting 2025-12-04T09:00:31.2476673Z 74a027f927eb: Pulling fs layer 2025-12-04T09:00:31.2476961Z 73f306c3e01a: Waiting 2025-12-04T09:00:31.2477209Z 8c34a8a72ede: Waiting 2025-12-04T09:00:31.2477449Z d16568aa3935: Pulling fs layer 2025-12-04T09:00:31.2477729Z 285afe6f5fc0: Waiting 2025-12-04T09:00:31.2478093Z 793cdf25a8ee: Pulling fs layer 2025-12-04T09:00:31.2478371Z 42bf83e33d13: Pulling fs layer 2025-12-04T09:00:31.2478648Z 8654f85cb798: Waiting 2025-12-04T09:00:31.2478975Z d16568aa3935: Waiting 2025-12-04T09:00:31.2479231Z 793cdf25a8ee: Waiting 2025-12-04T09:00:31.2479485Z 41b0d6d6b450: Pulling fs layer 2025-12-04T09:00:31.2479774Z 74a027f927eb: Waiting 2025-12-04T09:00:31.2480020Z 42bf83e33d13: Waiting 2025-12-04T09:00:31.2480262Z 4825e455ff06: Pulling fs layer 2025-12-04T09:00:31.2480537Z 41b0d6d6b450: Waiting 2025-12-04T09:00:31.2480873Z 7eb916054f46: Waiting 2025-12-04T09:00:31.2481117Z d2ac7d81eed3: Pulling fs layer 2025-12-04T09:00:31.2481399Z 5af67f01dbe5: Waiting 2025-12-04T09:00:31.2481663Z d0bcde0dde54: Pulling fs layer 2025-12-04T09:00:31.2481930Z d2ac7d81eed3: Waiting 2025-12-04T09:00:31.2482408Z 08344d511b0f: Pulling fs layer 2025-12-04T09:00:31.2482697Z 55aea5680838: Pulling fs layer 2025-12-04T09:00:31.2482986Z ad5eed087a50: Pulling fs layer 2025-12-04T09:00:31.2483383Z 4825e455ff06: Waiting 2025-12-04T09:00:31.2483631Z 55aea5680838: Waiting 2025-12-04T09:00:31.2483874Z 18b2b5752a0a: Pulling fs layer 2025-12-04T09:00:31.2484162Z ad5eed087a50: Waiting 2025-12-04T09:00:31.2484426Z 1da08ec32427: Pulling fs layer 2025-12-04T09:00:31.2484761Z e0f8886b39c7: Pulling fs layer 2025-12-04T09:00:31.2485035Z 2c01af6cf5cf: Pulling fs layer 2025-12-04T09:00:31.2485359Z 42e06e175ff0: Pulling fs layer 2025-12-04T09:00:31.2485778Z e0f8886b39c7: Waiting 2025-12-04T09:00:31.2486291Z abb119825988: Waiting 2025-12-04T09:00:31.2486752Z d226ae4fa11d: Pulling fs layer 2025-12-04T09:00:31.2487214Z 1da08ec32427: Waiting 2025-12-04T09:00:31.2487591Z 42e06e175ff0: Waiting 2025-12-04T09:00:31.2487985Z d226ae4fa11d: Waiting 2025-12-04T09:00:31.2488378Z 2c01af6cf5cf: Waiting 2025-12-04T09:00:31.2488762Z 18b2b5752a0a: Waiting 2025-12-04T09:00:31.2489140Z 08344d511b0f: Waiting 2025-12-04T09:00:31.3197318Z 30752e5b2ca1: Verifying Checksum 2025-12-04T09:00:31.3197675Z 30752e5b2ca1: Download complete 2025-12-04T09:00:31.3821935Z 72fdbe0833af: Verifying Checksum 2025-12-04T09:00:31.3822383Z 72fdbe0833af: Download complete 2025-12-04T09:00:31.4581684Z 6e81e9608166: Verifying Checksum 2025-12-04T09:00:31.4582473Z 6e81e9608166: Download complete 2025-12-04T09:00:31.5502757Z 9da72b34ce93: Verifying Checksum 2025-12-04T09:00:31.5503253Z 9da72b34ce93: Download complete 2025-12-04T09:00:31.6073545Z 63e5bc7682b8: Verifying Checksum 2025-12-04T09:00:31.6073996Z 63e5bc7682b8: Download complete 2025-12-04T09:00:31.6220048Z 128dbd790758: Download complete 2025-12-04T09:00:31.6947136Z 21a2a9be992e: Verifying Checksum 2025-12-04T09:00:31.6947582Z 21a2a9be992e: Download complete 2025-12-04T09:00:31.7787204Z e79a3e26018b: Verifying Checksum 2025-12-04T09:00:31.7787689Z e79a3e26018b: Download complete 2025-12-04T09:00:31.8602087Z f5bdb43737f9: Download complete 2025-12-04T09:00:31.9418023Z 641016cdb5e2: Verifying Checksum 2025-12-04T09:00:31.9418466Z 641016cdb5e2: Download complete 2025-12-04T09:00:32.0233962Z 6bb83e8ba544: Download complete 2025-12-04T09:00:32.5918647Z 63e5bc7682b8: Pull complete 2025-12-04T09:00:32.6140027Z 30752e5b2ca1: Pull complete 2025-12-04T09:00:32.8232001Z dff900ec4da0: Verifying Checksum 2025-12-04T09:00:32.8232428Z dff900ec4da0: Download complete 2025-12-04T09:00:32.8321657Z 4f4fb700ef54: Verifying Checksum 2025-12-04T09:00:32.8322249Z 4f4fb700ef54: Download complete 2025-12-04T09:00:32.9037221Z 5af67f01dbe5: Download complete 2025-12-04T09:00:32.9770688Z 7eb916054f46: Download complete 2025-12-04T09:00:33.0505480Z 0827867e01b9: Verifying Checksum 2025-12-04T09:00:33.0506008Z 0827867e01b9: Download complete 2025-12-04T09:00:33.1415325Z 8a07e639f07e: Verifying Checksum 2025-12-04T09:00:33.1415825Z 8a07e639f07e: Download complete 2025-12-04T09:00:33.2433459Z a5c47596306a: Verifying Checksum 2025-12-04T09:00:33.2434099Z a5c47596306a: Download complete 2025-12-04T09:00:33.3201433Z 0af610737b2b: Verifying Checksum 2025-12-04T09:00:33.3201807Z 0af610737b2b: Download complete 2025-12-04T09:00:33.4138858Z f4ed4f2b5c86: Verifying Checksum 2025-12-04T09:00:33.4139775Z f4ed4f2b5c86: Download complete 2025-12-04T09:00:33.5022071Z 029d8980b23d: Verifying Checksum 2025-12-04T09:00:33.5022713Z 029d8980b23d: Download complete 2025-12-04T09:00:33.5761293Z 06e55b00e509: Verifying Checksum 2025-12-04T09:00:33.5761682Z 06e55b00e509: Download complete 2025-12-04T09:00:33.6493217Z 7d78a6fe33db: Verifying Checksum 2025-12-04T09:00:33.6493732Z 7d78a6fe33db: Download complete 2025-12-04T09:00:33.7154314Z 7ca71f279200: Verifying Checksum 2025-12-04T09:00:33.7154744Z 7ca71f279200: Download complete 2025-12-04T09:00:33.8509645Z 82bd3a282094: Download complete 2025-12-04T09:00:34.4218582Z a9c81a7a11a0: Verifying Checksum 2025-12-04T09:00:34.4218972Z a9c81a7a11a0: Download complete 2025-12-04T09:00:34.5214004Z 7e3ffb5ddd20: Download complete 2025-12-04T09:00:34.5971953Z 2339aeeca708: Download complete 2025-12-04T09:00:34.6988877Z d4ff12c35a14: Download complete 2025-12-04T09:00:34.7726182Z 0d163c6a3b15: Verifying Checksum 2025-12-04T09:00:34.7726834Z 0d163c6a3b15: Download complete 2025-12-04T09:00:35.0109258Z d0aba21c8480: Verifying Checksum 2025-12-04T09:00:35.0109625Z d0aba21c8480: Download complete 2025-12-04T09:00:35.0858309Z 71cc5e5ae875: Download complete 2025-12-04T09:00:35.1759237Z 926ea049049d: Verifying Checksum 2025-12-04T09:00:35.1759860Z 926ea049049d: Download complete 2025-12-04T09:00:35.2743508Z 6807383937ea: Verifying Checksum 2025-12-04T09:00:35.2744440Z 6807383937ea: Download complete 2025-12-04T09:00:35.3545332Z 9a2cd2173445: Verifying Checksum 2025-12-04T09:00:35.3545926Z 9a2cd2173445: Download complete 2025-12-04T09:00:35.4569022Z c213c538e6ee: Download complete 2025-12-04T09:00:35.5421950Z 7018792fc5e6: Download complete 2025-12-04T09:00:35.6051729Z a60f1d8ec81e: Download complete 2025-12-04T09:00:35.6694563Z e3603921529a: Verifying Checksum 2025-12-04T09:00:35.6694995Z e3603921529a: Download complete 2025-12-04T09:00:38.4892375Z c3d337834f2d: Verifying Checksum 2025-12-04T09:00:38.4892930Z c3d337834f2d: Download complete 2025-12-04T09:00:38.8436550Z bbac46df16c5: Verifying Checksum 2025-12-04T09:00:38.8437227Z bbac46df16c5: Download complete 2025-12-04T09:00:38.9264762Z b33d553f2696: Verifying Checksum 2025-12-04T09:00:38.9265352Z b33d553f2696: Download complete 2025-12-04T09:00:38.9929728Z bf9911063608: Download complete 2025-12-04T09:00:39.0729362Z fd20a4669326: Verifying Checksum 2025-12-04T09:00:39.0729905Z fd20a4669326: Download complete 2025-12-04T09:00:39.1314021Z 73f306c3e01a: Verifying Checksum 2025-12-04T09:00:39.2125994Z 8654f85cb798: Download complete 2025-12-04T09:00:39.3075362Z 285afe6f5fc0: Verifying Checksum 2025-12-04T09:00:39.3076732Z 285afe6f5fc0: Download complete 2025-12-04T09:00:39.3716442Z abb119825988: Verifying Checksum 2025-12-04T09:00:39.3717071Z abb119825988: Download complete 2025-12-04T09:00:39.4670319Z 8c34a8a72ede: Download complete 2025-12-04T09:00:39.5642816Z 74a027f927eb: Verifying Checksum 2025-12-04T09:00:39.5643205Z 74a027f927eb: Download complete 2025-12-04T09:00:39.6526361Z d16568aa3935: Verifying Checksum 2025-12-04T09:00:39.6527306Z d16568aa3935: Download complete 2025-12-04T09:00:39.7161571Z 793cdf25a8ee: Verifying Checksum 2025-12-04T09:00:39.7162149Z 793cdf25a8ee: Download complete 2025-12-04T09:00:39.7921640Z 42bf83e33d13: Verifying Checksum 2025-12-04T09:00:39.7922109Z 42bf83e33d13: Download complete 2025-12-04T09:00:39.8726012Z 41b0d6d6b450: Verifying Checksum 2025-12-04T09:00:39.8726680Z 41b0d6d6b450: Download complete 2025-12-04T09:00:39.9346528Z 4825e455ff06: Verifying Checksum 2025-12-04T09:00:39.9346924Z 4825e455ff06: Download complete 2025-12-04T09:00:40.0130894Z d2ac7d81eed3: Verifying Checksum 2025-12-04T09:00:40.0131443Z d2ac7d81eed3: Download complete 2025-12-04T09:00:40.0946291Z d0bcde0dde54: Verifying Checksum 2025-12-04T09:00:40.0946733Z d0bcde0dde54: Download complete 2025-12-04T09:00:40.2034300Z 08344d511b0f: Download complete 2025-12-04T09:00:44.7252744Z 55aea5680838: Verifying Checksum 2025-12-04T09:00:44.7253132Z 55aea5680838: Download complete 2025-12-04T09:00:44.8329735Z ad5eed087a50: Verifying Checksum 2025-12-04T09:00:44.8330237Z ad5eed087a50: Download complete 2025-12-04T09:00:44.9014309Z 18b2b5752a0a: Verifying Checksum 2025-12-04T09:00:44.9014754Z 18b2b5752a0a: Download complete 2025-12-04T09:00:44.9879658Z 1da08ec32427: Verifying Checksum 2025-12-04T09:00:44.9880200Z 1da08ec32427: Download complete 2025-12-04T09:00:45.0488183Z e0f8886b39c7: Download complete 2025-12-04T09:00:45.1464410Z 2c01af6cf5cf: Verifying Checksum 2025-12-04T09:00:45.1464838Z 2c01af6cf5cf: Download complete 2025-12-04T09:00:45.2301016Z 42e06e175ff0: Download complete 2025-12-04T09:00:46.9531319Z d226ae4fa11d: Verifying Checksum 2025-12-04T09:00:46.9531707Z d226ae4fa11d: Download complete 2025-12-04T09:00:49.1891013Z a9c81a7a11a0: Pull complete 2025-12-04T09:00:49.3091656Z 72fdbe0833af: Pull complete 2025-12-04T09:00:49.4428531Z 6e81e9608166: Pull complete 2025-12-04T09:00:49.5713976Z 9da72b34ce93: Pull complete 2025-12-04T09:00:49.7165436Z 128dbd790758: Pull complete 2025-12-04T09:00:49.8086769Z 21a2a9be992e: Pull complete 2025-12-04T09:01:12.6111853Z dff900ec4da0: Pull complete 2025-12-04T09:01:12.6998905Z e79a3e26018b: Pull complete 2025-12-04T09:01:12.7863273Z f5bdb43737f9: Pull complete 2025-12-04T09:01:12.8501006Z 641016cdb5e2: Pull complete 2025-12-04T09:01:12.8825398Z 6bb83e8ba544: Pull complete 2025-12-04T09:01:26.9689649Z f0dc417b5924: Verifying Checksum 2025-12-04T09:01:26.9691307Z f0dc417b5924: Download complete 2025-12-04T09:01:30.7434378Z 8905fef67e5e: Verifying Checksum 2025-12-04T09:01:30.7434772Z 8905fef67e5e: Download complete 2025-12-04T09:02:58.0202557Z f0dc417b5924: Pull complete 2025-12-04T09:02:58.1795347Z 4f4fb700ef54: Pull complete 2025-12-04T09:02:58.3244973Z 5af67f01dbe5: Pull complete 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71cc5e5ae875: Pull complete 2025-12-04T09:03:10.1967438Z 926ea049049d: Pull complete 2025-12-04T09:03:10.2387786Z 6807383937ea: Pull complete 2025-12-04T09:03:10.2594160Z 9a2cd2173445: Pull complete 2025-12-04T09:03:10.2806589Z c213c538e6ee: Pull complete 2025-12-04T09:03:10.3232050Z 7018792fc5e6: Pull complete 2025-12-04T09:03:10.3442937Z a60f1d8ec81e: Pull complete 2025-12-04T09:03:10.3856723Z e3603921529a: Pull complete 2025-12-04T09:03:12.3107641Z bbac46df16c5: Pull complete 2025-12-04T09:04:39.9234561Z 8905fef67e5e: Pull complete 2025-12-04T09:04:40.1191525Z b33d553f2696: Pull complete 2025-12-04T09:04:40.2013072Z bf9911063608: Pull complete 2025-12-04T09:04:40.3939441Z fd20a4669326: Pull complete 2025-12-04T09:04:40.5026997Z 73f306c3e01a: Pull complete 2025-12-04T09:04:40.5264735Z 8654f85cb798: Pull complete 2025-12-04T09:04:40.5848772Z 285afe6f5fc0: Pull complete 2025-12-04T09:04:40.6456952Z abb119825988: Pull complete 2025-12-04T09:04:40.8169402Z 8c34a8a72ede: Pull complete 2025-12-04T09:04:41.0589162Z 74a027f927eb: Pull complete 2025-12-04T09:04:41.4092224Z d16568aa3935: Pull complete 2025-12-04T09:04:41.5328745Z 793cdf25a8ee: Pull complete 2025-12-04T09:04:41.7152968Z 42bf83e33d13: Pull complete 2025-12-04T09:04:41.7880292Z 41b0d6d6b450: Pull complete 2025-12-04T09:04:41.8518577Z 4825e455ff06: Pull complete 2025-12-04T09:04:41.8794757Z d2ac7d81eed3: Pull complete 2025-12-04T09:04:41.9386005Z d0bcde0dde54: Pull complete 2025-12-04T09:04:42.0605640Z 08344d511b0f: Pull complete 2025-12-04T09:04:50.5562198Z 55aea5680838: Pull complete 2025-12-04T09:04:50.7100418Z ad5eed087a50: Pull complete 2025-12-04T09:04:50.9027933Z 18b2b5752a0a: Pull complete 2025-12-04T09:04:50.9983887Z 1da08ec32427: Pull complete 2025-12-04T09:04:51.0558552Z e0f8886b39c7: Pull complete 2025-12-04T09:04:51.0875832Z 2c01af6cf5cf: Pull complete 2025-12-04T09:04:51.1596395Z 42e06e175ff0: Pull complete 2025-12-04T09:04:52.9314393Z d226ae4fa11d: Pull complete 2025-12-04T09:04:53.1232321Z Digest: sha256:2610a00c960d673cd131e7c14ba72b79a36946bfc93ee26d3cb9c682e695f524 2025-12-04T09:04:53.1374467Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:04:53.1410064Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:04:53.1469008Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:04:53.1470052Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:04:53.1479344Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:53.1479754Z env: 2025-12-04T09:04:53.1479974Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:53.1480254Z ##[endgroup] 2025-12-04T09:04:53.2454287Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T09:04:53.2454752Z with: 2025-12-04T09:04:53.2455009Z driver-version: 580.82.07 2025-12-04T09:04:53.2455277Z env: 2025-12-04T09:04:53.2455515Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:53.2455797Z ##[endgroup] 2025-12-04T09:04:53.2477573Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:04:53.2478646Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:04:53.2485098Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:53.2485610Z env: 2025-12-04T09:04:53.2485859Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:53.2486205Z ##[endgroup] 2025-12-04T09:04:53.2548749Z ##[group]Run set -euo pipefail 2025-12-04T09:04:53.2549328Z set -euo pipefail 2025-12-04T09:04:53.2549905Z  2025-12-04T09:04:53.2550280Z has_gpu=false 2025-12-04T09:04:53.2550737Z devices="" 2025-12-04T09:04:53.2551163Z  2025-12-04T09:04:53.2551650Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T09:04:53.2552465Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:04:53.2553224Z  has_gpu=true 2025-12-04T09:04:53.2553753Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:04:53.2554315Z  fi 2025-12-04T09:04:53.2554698Z fi 2025-12-04T09:04:53.2555043Z  2025-12-04T09:04:53.2555420Z if [ "$has_gpu" = false ]; then 2025-12-04T09:04:53.2556133Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:04:53.2556960Z  has_gpu=true 2025-12-04T09:04:53.2557489Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:04:53.2558086Z  fi 2025-12-04T09:04:53.2558492Z fi 2025-12-04T09:04:53.2558889Z  2025-12-04T09:04:53.2559458Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T09:04:53.2560379Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:04:53.2561163Z  has_gpu=true 2025-12-04T09:04:53.2561693Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:04:53.2562643Z  fi 2025-12-04T09:04:53.2563033Z fi 2025-12-04T09:04:53.2563396Z  2025-12-04T09:04:53.2563964Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T09:04:53.2564983Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T09:04:53.2573686Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:53.2574348Z env: 2025-12-04T09:04:53.2574737Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:53.2575181Z ##[endgroup] 2025-12-04T09:04:53.3106102Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:04:53.3106534Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:04:53.3106933Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T09:04:53.3107457Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T09:04:53.3107949Z else 2025-12-04T09:04:53.3108242Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T09:04:53.3108615Z fi 2025-12-04T09:04:53.3114805Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:53.3115200Z env: 2025-12-04T09:04:53.3115428Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:53.3115690Z HAS_NVIDIA: false 2025-12-04T09:04:53.3115933Z ##[endgroup] 2025-12-04T09:04:53.3228204Z Prepare all required actions 2025-12-04T09:04:53.3271007Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T09:04:53.3271386Z with: 2025-12-04T09:04:53.3272059Z github-token: *** 2025-12-04T09:04:53.3272319Z env: 2025-12-04T09:04:53.3272534Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:53.3272829Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:53.3273104Z ##[endgroup] 2025-12-04T09:04:53.3295562Z ##[group]Run set -eux 2025-12-04T09:04:53.3295830Z set -eux 2025-12-04T09:04:53.3296304Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:04:53.3302248Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:53.3303020Z env: 2025-12-04T09:04:53.3303297Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:53.3303592Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:53.3304066Z GITHUB_TOKEN: *** 2025-12-04T09:04:53.3304306Z ##[endgroup] 2025-12-04T09:04:53.3328824Z + python3 .github/scripts/get_workflow_job_id.py 19922814090 i-07ec34d4429e531a0 2025-12-04T09:04:56.3049392Z Setting output job-id=57116258310 2025-12-04T09:04:56.3050146Z Setting output job-name=linux-jammy-py3.10-gcc11 / test (default, 1, 5, linux.2xlarge, rerun_disabled_tests) 2025-12-04T09:04:56.3181620Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:04:56.3182402Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:04:56.3183415Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T09:04:56.3184347Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:04:56.3190444Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:56.3190829Z env: 2025-12-04T09:04:56.3191061Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:56.3191352Z HAS_NVIDIA_GPU: false 2025-12-04T09:04:56.3191630Z JOB_ID: 57116258310 2025-12-04T09:04:56.3192103Z JOB_NAME: linux-jammy-py3.10-gcc11 / test (default, 1, 5, linux.2xlarge, rerun_disabled_tests) 2025-12-04T09:04:56.3192648Z WORKFLOW_NAME: pull 2025-12-04T09:04:56.3192965Z WORKFLOW_RUN_ID: 19922814090 2025-12-04T09:04:56.3193248Z MONITOR_LOG_INTERVAL: 5 2025-12-04T09:04:56.3193542Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T09:04:56.3193855Z ##[endgroup] 2025-12-04T09:04:58.4129867Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:04:58.8439661Z Collecting psutil==5.9.8 2025-12-04T09:04:58.8612451Z 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) 2025-12-04T09:04:58.9897939Z Collecting dataclasses_json==0.6.7 2025-12-04T09:04:58.9936974Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T09:04:59.0762374Z Collecting nvidia-ml-py==11.525.84 2025-12-04T09:04:59.0800555Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T09:04:59.2752939Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T09:04:59.2790486Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T09:04:59.3745134Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T09:04:59.3780695Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T09:04:59.5516861Z Collecting packaging>=17.0 2025-12-04T09:04:59.5554614Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T09:04:59.6736820Z Collecting mypy-extensions>=0.3.0 2025-12-04T09:04:59.6779384Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T09:04:59.8319256Z Collecting typing-extensions>=3.7.4 2025-12-04T09:04:59.8357320Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T09:05:00.0887916Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T09:05:01.0735082Z 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 2025-12-04T09:05:01.3893877Z Prepare all required actions 2025-12-04T09:05:01.3894326Z Getting action download info 2025-12-04T09:05:01.6015799Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:05:02.3151382Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T09:05:04.9254168Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T09:05:04.9254531Z with: 2025-12-04T09:05:04.9254787Z name: linux-jammy-py3.10-gcc11 2025-12-04T09:05:04.9255096Z s3-bucket: gha-artifacts 2025-12-04T09:05:04.9255348Z env: 2025-12-04T09:05:04.9255565Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:04.9255836Z HAS_NVIDIA_GPU: false 2025-12-04T09:05:04.9256074Z ##[endgroup] 2025-12-04T09:05:04.9350916Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:05:04.9351277Z with: 2025-12-04T09:05:04.9351521Z name: linux-jammy-py3.10-gcc11 2025-12-04T09:05:04.9351878Z s3-bucket: gha-artifacts 2025-12-04T09:05:04.9352155Z region: us-east-1 2025-12-04T09:05:04.9352392Z env: 2025-12-04T09:05:04.9352610Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:04.9352881Z HAS_NVIDIA_GPU: false 2025-12-04T09:05:04.9353120Z ##[endgroup] 2025-12-04T09:05:05.5863409Z (node:42938) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:05:05.5863937Z 2025-12-04T09:05:05.5864149Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:05:05.5864725Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:05:05.5865312Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:05:07.0594586Z Found 1 objects with prefix pytorch/pytorch/19922814090/linux-jammy-py3.10-gcc11/ 2025-12-04T09:05:07.0595816Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:05:11.4214575Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:05:11.4220839Z Artifact download has finished successfully 2025-12-04T09:05:11.4409995Z ##[group]Run unzip -o artifacts.zip 2025-12-04T09:05:11.4410339Z unzip -o artifacts.zip 2025-12-04T09:05:11.4416310Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:11.4416698Z env: 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shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:18.4364356Z env: 2025-12-04T09:05:18.4364744Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:18.4365022Z HAS_NVIDIA_GPU: false 2025-12-04T09:05:18.4365283Z ##[endgroup] 2025-12-04T09:05:18.4561929Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T09:05:18.4562362Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T09:05:18.4562718Z tmpfs 8.2G 0 8.2G 0% /dev/shm 2025-12-04T09:05:18.4563054Z tmpfs 3.3G 488k 3.3G 1% /run 2025-12-04T09:05:18.4563413Z /dev/nvme0n1p1 161G 37G 125G 23% / 2025-12-04T09:05:18.4563747Z tmpfs 8.2G 13k 8.2G 1% /tmp 2025-12-04T09:05:18.4564090Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T09:05:18.4608030Z Prepare all required actions 2025-12-04T09:05:18.4608924Z Getting action download info 2025-12-04T09:05:18.6776009Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T09:05:18.6776374Z with: 2025-12-04T09:05:18.6776588Z env: 2025-12-04T09:05:18.6776811Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:18.6777096Z HAS_NVIDIA_GPU: false 2025-12-04T09:05:18.6777353Z ##[endgroup] 2025-12-04T09:05:18.6806646Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:05:18.6807007Z with: 2025-12-04T09:05:18.6807216Z name: td_results 2025-12-04T09:05:18.6807464Z s3-bucket: gha-artifacts 2025-12-04T09:05:18.6807740Z region: us-east-1 2025-12-04T09:05:18.6807954Z env: 2025-12-04T09:05:18.6808168Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:18.6808442Z HAS_NVIDIA_GPU: false 2025-12-04T09:05:18.6808698Z ##[endgroup] 2025-12-04T09:05:19.1848985Z (node:42958) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:05:19.1849593Z 2025-12-04T09:05:19.1849793Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:05:19.1850351Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:05:19.1850936Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:05:19.2863462Z Found 1 objects with prefix pytorch/pytorch/19922814090/td_results/ 2025-12-04T09:05:19.2864176Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:05:19.3427951Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:05:19.3433221Z Artifact download has finished successfully 2025-12-04T09:05:19.3584816Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T09:05:19.3585212Z mkdir -p .additional_ci_files 2025-12-04T09:05:19.3585662Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T09:05:19.3592072Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:19.3592449Z env: 2025-12-04T09:05:19.3592672Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:19.3592955Z HAS_NVIDIA_GPU: false 2025-12-04T09:05:19.3593195Z ##[endgroup] 2025-12-04T09:05:19.3709742Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T09:05:19.3710138Z .github/scripts/parse_ref.py 2025-12-04T09:05:19.3716023Z shell: /usr/bin/bash -e {0} 2025-12-04T09:05:19.3716312Z env: 2025-12-04T09:05:19.3716525Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:19.3716804Z HAS_NVIDIA_GPU: false 2025-12-04T09:05:19.3717192Z ##[endgroup] 2025-12-04T09:05:19.3950976Z Setting output branch=main 2025-12-04T09:05:19.4088078Z Prepare all required actions 2025-12-04T09:05:19.4088518Z Getting action download info 2025-12-04T09:05:19.5580432Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T09:05:19.5580801Z with: 2025-12-04T09:05:19.5581334Z github-token: *** 2025-12-04T09:05:19.5587330Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "docs_test", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "backwards_compat", "shard": 1, "num_shards": 1, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "numpy_2_x", "shard": 1, "num_shards": 1, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "libtorch_agnostic_targetting", "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"}]} 2025-12-04T09:05:19.5593768Z job-name: linux-jammy-py3.10-gcc11 / test (default, 1, 5, linux.2xlarge, rerun_disabled_tests) 2025-12-04T09:05:19.5594290Z env: 2025-12-04T09:05:19.5594510Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:19.5594779Z HAS_NVIDIA_GPU: false 2025-12-04T09:05:19.5595032Z ##[endgroup] 2025-12-04T09:05:19.5632750Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:05:19.5633063Z with: 2025-12-04T09:05:19.5633276Z shell: bash 2025-12-04T09:05:19.5633511Z timeout_minutes: 10 2025-12-04T09:05:19.5633752Z max_attempts: 5 2025-12-04T09:05:19.5633999Z retry_wait_seconds: 30 2025-12-04T09:05:19.5634829Z 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 2025-12-04T09:05:19.5635779Z polling_interval_seconds: 1 2025-12-04T09:05:19.5636097Z warning_on_retry: true 2025-12-04T09:05:19.5636367Z continue_on_error: false 2025-12-04T09:05:19.5636648Z env: 2025-12-04T09:05:19.5636996Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:19.5637298Z HAS_NVIDIA_GPU: false 2025-12-04T09:05:19.5637800Z GITHUB_TOKEN: *** 2025-12-04T09:05:19.5638075Z ##[endgroup] 2025-12-04T09:05:19.6709934Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:05:19.9166015Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:05:20.0315113Z Collecting requests==2.27.1 2025-12-04T09:05:20.0496621Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T09:05:20.2275373Z Collecting pyyaml==6.0.2 2025-12-04T09:05:20.2318337Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T09:05:20.2639339Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T09:05:20.6428480Z Collecting charset-normalizer~=2.0.0 2025-12-04T09:05:20.6470890Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T09:05:20.6987977Z Collecting certifi>=2017.4.17 2025-12-04T09:05:20.7027712Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T09:05:20.7104966Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T09:05:20.7933325Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T09:05:20.9127585Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T09:05:21.6459758Z Command completed after 1 attempt(s). 2025-12-04T09:05:21.6505094Z ##[group]Run set -x 2025-12-04T09:05:21.6505365Z set -x 2025-12-04T09:05:21.6505786Z  2025-12-04T09:05:21.6506243Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:05:21.6506732Z # in runner workspace 2025-12-04T09:05:21.6507140Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T09:05:21.6513363Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:21.6513755Z env: 2025-12-04T09:05:21.6513968Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:21.6514245Z HAS_NVIDIA_GPU: false 2025-12-04T09:05:21.6514505Z ##[endgroup] 2025-12-04T09:05:21.6554269Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T09:05:21.6737352Z Setting output branch=main 2025-12-04T09:05:21.6788903Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:05:21.6789619Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:05:21.6789962Z echo "Job name: ${JOB_NAME}" 2025-12-04T09:05:21.6790289Z  2025-12-04T09:05:21.6790681Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:05:21.6791167Z # in runner workspace 2025-12-04T09:05:21.6791619Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T09:05:21.6792111Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T09:05:21.6792454Z  --job-name "${JOB_NAME}" \ 2025-12-04T09:05:21.6798316Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "docs_test", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "backwards_compat", "shard": 1, "num_shards": 1, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "numpy_2_x", "shard": 1, "num_shards": 1, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "libtorch_agnostic_targetting", "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"}]}" \ 2025-12-04T09:05:21.6804660Z  --selected-test-configs "" \ 2025-12-04T09:05:21.6805165Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T09:05:21.6805494Z  --tag "${TAG}" \ 2025-12-04T09:05:21.6805785Z  --event-name "${EVENT_NAME}" \ 2025-12-04T09:05:21.6806122Z  --schedule "${SCHEDULE}" \ 2025-12-04T09:05:21.6806446Z  --branch "${HEAD_BRANCH}" 2025-12-04T09:05:21.6812292Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:21.6812688Z env: 2025-12-04T09:05:21.6812911Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:21.6813203Z HAS_NVIDIA_GPU: false 2025-12-04T09:05:21.6813665Z GITHUB_TOKEN: *** 2025-12-04T09:05:21.6814127Z JOB_NAME: linux-jammy-py3.10-gcc11 / test (default, 1, 5, linux.2xlarge, rerun_disabled_tests) 2025-12-04T09:05:21.6814774Z PR_NUMBER: 2025-12-04T09:05:21.6815000Z TAG: 2025-12-04T09:05:21.6815206Z EVENT_NAME: schedule 2025-12-04T09:05:21.6815464Z SCHEDULE: 29 8 * * * 2025-12-04T09:05:21.6815715Z HEAD_BRANCH: main 2025-12-04T09:05:21.6815940Z ##[endgroup] 2025-12-04T09:05:21.6839309Z Workflow: pull 2025-12-04T09:05:21.6839817Z Job name: linux-jammy-py3.10-gcc11 / test (default, 1, 5, linux.2xlarge, rerun_disabled_tests) 2025-12-04T09:05:21.9186268Z Setting output keep-going=True 2025-12-04T09:05:21.9186672Z Setting output ci-verbose-test-logs=False 2025-12-04T09:05:21.9187057Z Setting output ci-test-showlocals=False 2025-12-04T09:05:21.9187410Z Setting output ci-no-test-timeout=False 2025-12-04T09:05:21.9187735Z Setting output ci-no-td=False 2025-12-04T09:05:21.9188052Z Setting output ci-td-distributed=False 2025-12-04T09:05:21.9188393Z Setting output is-unstable=False 2025-12-04T09:05:21.9188699Z Setting output reenabled-issues= 2025-12-04T09:05:21.9194671Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "docs_test", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "backwards_compat", "shard": 1, "num_shards": 1, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "numpy_2_x", "shard": 1, "num_shards": 1, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "libtorch_agnostic_targetting", "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"}]} 2025-12-04T09:05:21.9200897Z Setting output is-test-matrix-empty=False 2025-12-04T09:05:21.9329352Z ##[group]Run echo "Filtered matrix:" 2025-12-04T09:05:21.9329713Z echo "Filtered matrix:" 2025-12-04T09:05:21.9335785Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "docs_test", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "backwards_compat", "shard": 1, "num_shards": 1, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "numpy_2_x", "shard": 1, "num_shards": 1, "runner": "linux.c7i.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "libtorch_agnostic_targetting", "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"}]}" 2025-12-04T09:05:21.9341879Z  2025-12-04T09:05:21.9342098Z echo 2025-12-04T09:05:21.9342384Z echo "Is the current job unstable? False" 2025-12-04T09:05:21.9342719Z  2025-12-04T09:05:21.9342928Z echo 2025-12-04T09:05:21.9343194Z echo "Is keep-going label set? True" 2025-12-04T09:05:21.9343511Z  2025-12-04T09:05:21.9343716Z echo 2025-12-04T09:05:21.9343970Z echo "Reenabled issues? " 2025-12-04T09:05:21.9349923Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:21.9350322Z env: 2025-12-04T09:05:21.9350553Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:21.9350833Z HAS_NVIDIA_GPU: false 2025-12-04T09:05:21.9351086Z ##[endgroup] 2025-12-04T09:05:21.9374811Z Filtered matrix: 2025-12-04T09:05:21.9382157Z {include: [{config: default, shard: 1, num_shards: 5, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 2, num_shards: 5, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 3, num_shards: 5, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 4, num_shards: 5, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 5, num_shards: 5, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: docs_test, shard: 1, num_shards: 1, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: jit_legacy, shard: 1, num_shards: 1, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: backwards_compat, shard: 1, num_shards: 1, runner: linux.c7i.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: distributed, shard: 1, num_shards: 2, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: distributed, shard: 2, num_shards: 2, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: numpy_2_x, shard: 1, num_shards: 1, runner: linux.c7i.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: libtorch_agnostic_targetting, 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}]} 2025-12-04T09:05:21.9387946Z 2025-12-04T09:05:21.9388061Z Is the current job unstable? False 2025-12-04T09:05:21.9388279Z 2025-12-04T09:05:21.9388390Z Is keep-going label set? True 2025-12-04T09:05:21.9388578Z 2025-12-04T09:05:21.9388684Z Reenabled issues? 2025-12-04T09:05:21.9419958Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:05:21.9420794Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:05:21.9426512Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:21.9426890Z env: 2025-12-04T09:05:21.9427119Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:21.9427400Z HAS_NVIDIA_GPU: false 2025-12-04T09:05:21.9427643Z JOB_TIMEOUT: 240 2025-12-04T09:05:21.9427880Z ##[endgroup] 2025-12-04T09:05:21.9474941Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:05:21.9475495Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:05:21.9475971Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:05:21.9481928Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:21.9482465Z env: 2025-12-04T09:05:21.9482690Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:21.9482968Z HAS_NVIDIA_GPU: false 2025-12-04T09:05:21.9483211Z ##[endgroup] 2025-12-04T09:05:21.9576993Z ##[group]Run set -x 2025-12-04T09:05:21.9577340Z set -x 2025-12-04T09:05:21.9577844Z  2025-12-04T09:05:21.9578116Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T09:05:21.9578515Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T09:05:21.9578934Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T09:05:21.9579307Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T09:05:21.9579610Z else 2025-12-04T09:05:21.9579868Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:05:21.9580186Z fi 2025-12-04T09:05:21.9580384Z  2025-12-04T09:05:21.9580656Z # Leaving 1GB for the runner and other things 2025-12-04T09:05:21.9581316Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T09:05:21.9582222Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T09:05:21.9582954Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T09:05:21.9583504Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T09:05:21.9583938Z  2025-12-04T09:05:21.9584199Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:05:21.9584555Z  SHM_OPTS= 2025-12-04T09:05:21.9584806Z  JENKINS_USER= 2025-12-04T09:05:21.9585155Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T09:05:21.9585645Z  # if for some reason cleanup action doesn't stop container 2025-12-04T09:05:21.9586059Z  # when job is cancelled 2025-12-04T09:05:21.9586377Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T09:05:21.9586709Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T09:05:21.9587034Z else 2025-12-04T09:05:21.9587288Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T09:05:21.9587626Z  JENKINS_USER="--user jenkins" 2025-12-04T09:05:21.9587950Z  DOCKER_SHELL_CMD= 2025-12-04T09:05:21.9588245Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T09:05:21.9588539Z fi 2025-12-04T09:05:21.9588756Z  2025-12-04T09:05:21.9589101Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T09:05:21.9589654Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T09:05:21.9590273Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T09:05:21.9590830Z # shellcheck disable=SC2086,SC2090 2025-12-04T09:05:21.9591174Z container_name=$(docker run \ 2025-12-04T09:05:21.9591480Z  ${GPU_FLAG:-} \ 2025-12-04T09:05:21.9591792Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T09:05:21.9592151Z  -e BUILD_ENVIRONMENT \ 2025-12-04T09:05:21.9592456Z  -e PR_NUMBER \ 2025-12-04T09:05:21.9592727Z  -e GITHUB_ACTIONS \ 2025-12-04T09:05:21.9593026Z  -e GITHUB_REPOSITORY \ 2025-12-04T09:05:21.9593334Z  -e GITHUB_WORKFLOW \ 2025-12-04T09:05:21.9593618Z  -e GITHUB_JOB \ 2025-12-04T09:05:21.9593897Z  -e GITHUB_RUN_ID \ 2025-12-04T09:05:21.9594185Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T09:05:21.9594480Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T09:05:21.9594779Z  -e JOB_ID \ 2025-12-04T09:05:21.9595037Z  -e JOB_NAME \ 2025-12-04T09:05:21.9595300Z  -e BASE_SHA \ 2025-12-04T09:05:21.9595547Z  -e BRANCH \ 2025-12-04T09:05:21.9595797Z  -e SHA1 \ 2025-12-04T09:05:21.9596054Z  -e AWS_DEFAULT_REGION \ 2025-12-04T09:05:21.9596341Z  -e IN_WHEEL_TEST \ 2025-12-04T09:05:21.9596776Z  -e SHARD_NUMBER \ 2025-12-04T09:05:21.9597160Z  -e TEST_CONFIG \ 2025-12-04T09:05:21.9597430Z  -e NUM_TEST_SHARDS \ 2025-12-04T09:05:21.9597820Z  -e REENABLED_ISSUES \ 2025-12-04T09:05:21.9598138Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T09:05:21.9598450Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T09:05:21.9598758Z  -e TEST_SHOWLOCALS \ 2025-12-04T09:05:21.9599057Z  -e NO_TEST_TIMEOUT \ 2025-12-04T09:05:21.9599344Z  -e NO_TD \ 2025-12-04T09:05:21.9599593Z  -e TD_DISTRIBUTED \ 2025-12-04T09:05:21.9599880Z  -e PR_LABELS \ 2025-12-04T09:05:21.9600181Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T09:05:21.9600511Z  -e SCCACHE_BUCKET \ 2025-12-04T09:05:21.9600802Z  -e SCCACHE_REGION \ 2025-12-04T09:05:21.9601083Z  -e XLA_CUDA \ 2025-12-04T09:05:21.9601365Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T09:05:21.9601744Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T09:05:21.9602123Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T09:05:21.9602506Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T09:05:21.9603063Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T09:05:21.9603407Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T09:05:21.9603763Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T09:05:21.9604084Z  -e DASHBOARD_TAG \ 2025-12-04T09:05:21.9604385Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T09:05:21.9604765Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T09:05:21.9605187Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T09:05:21.9605618Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T09:05:21.9606025Z  --security-opt seccomp=unconfined \ 2025-12-04T09:05:21.9606380Z  --cap-add=SYS_PTRACE \ 2025-12-04T09:05:21.9606675Z  --ipc=host \ 2025-12-04T09:05:21.9606948Z  ${SHM_OPTS} \ 2025-12-04T09:05:21.9607209Z  --tty \ 2025-12-04T09:05:21.9607440Z  --detach \ 2025-12-04T09:05:21.9607716Z  --name="${container_name}" \ 2025-12-04T09:05:21.9608041Z  ${JENKINS_USER} \ 2025-12-04T09:05:21.9608390Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T09:05:21.9608803Z  -w /var/lib/jenkins/workspace \ 2025-12-04T09:05:21.9609134Z  "${USED_IMAGE}" \ 2025-12-04T09:05:21.9609420Z  ${DOCKER_SHELL_CMD} 2025-12-04T09:05:21.9609683Z ) 2025-12-04T09:05:21.9610026Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T09:05:21.9610452Z  2025-12-04T09:05:21.9610713Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:05:21.9611313Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T09:05:21.9611857Z fi 2025-12-04T09:05:21.9612068Z  2025-12-04T09:05:21.9612569Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T09:05:21.9618475Z shell: /usr/bin/bash -e {0} 2025-12-04T09:05:21.9618760Z env: 2025-12-04T09:05:21.9618969Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:21.9619246Z HAS_NVIDIA_GPU: false 2025-12-04T09:05:21.9619554Z BUILD_ENVIRONMENT: linux-jammy-py3.10-gcc11 2025-12-04T09:05:21.9619882Z PR_NUMBER: 2025-12-04T09:05:21.9620132Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T09:05:21.9620451Z GITHUB_WORKFLOW: pull 2025-12-04T09:05:21.9620699Z GITHUB_JOB: test 2025-12-04T09:05:21.9620945Z GITHUB_RUN_ID: 19922814090 2025-12-04T09:05:21.9621220Z GITHUB_RUN_NUMBER: 384169 2025-12-04T09:05:21.9621496Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T09:05:21.9621734Z JOB_ID: 57116258310 2025-12-04T09:05:21.9622193Z JOB_NAME: linux-jammy-py3.10-gcc11 / test (default, 1, 5, linux.2xlarge, rerun_disabled_tests) 2025-12-04T09:05:21.9622829Z BRANCH: main 2025-12-04T09:05:21.9623090Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:21.9623577Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:21.9623941Z TEST_CONFIG: default 2025-12-04T09:05:21.9624177Z SHARD_NUMBER: 1 2025-12-04T09:05:21.9624421Z NUM_TEST_SHARDS: 5 2025-12-04T09:05:21.9624666Z EXTRA_FLAGS: 2025-12-04T09:05:21.9624892Z OP_BENCHMARK_TESTS: 2025-12-04T09:05:21.9625150Z REENABLED_ISSUES: 2025-12-04T09:05:21.9625414Z CONTINUE_THROUGH_ERROR: True 2025-12-04T09:05:21.9625705Z VERBOSE_TEST_LOGS: False 2025-12-04T09:05:21.9625969Z TEST_SHOWLOCALS: False 2025-12-04T09:05:21.9626235Z NO_TEST_TIMEOUT: False 2025-12-04T09:05:21.9626488Z NO_TD: False 2025-12-04T09:05:21.9626710Z TD_DISTRIBUTED: False 2025-12-04T09:05:21.9627035Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T09:05:21.9627410Z SCCACHE_REGION: us-east-1 2025-12-04T09:05:21.9627667Z SHM_SIZE: 1g 2025-12-04T09:05:21.9628399Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:05:21.9629713Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:05:21.9630535Z XLA_CUDA: 2025-12-04T09:05:21.9630892Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:05:21.9631365Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T09:05:21.9631700Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 1 2025-12-04T09:05:21.9632000Z DASHBOARD_TAG: 2025-12-04T09:05:21.9632462Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T09:05:21.9632890Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T09:05:21.9633322Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T09:05:21.9633746Z ARTIFACTS_FILE_SUFFIX: test-default-1-5-linux.2xlarge_57116258310 2025-12-04T09:05:21.9634155Z ##[endgroup] 2025-12-04T09:05:21.9657754Z + [[ default == \m\u\l\t\i\g\p\u ]] 2025-12-04T09:05:21.9658341Z + [[ linux-jammy-py3.10-gcc11 == *onnx* ]] 2025-12-04T09:05:21.9658685Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:05:21.9661092Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T09:05:21.9754987Z + TOTAL_AVAILABLE_MEMORY_IN_GB='14.244 ' 2025-12-04T09:05:21.9755659Z + TOTAL_MEMORY_WITH_SWAP=17 2025-12-04T09:05:21.9756096Z + [[ linux-jammy-py3.10-gcc11 == *\s\3\9\0\x* ]] 2025-12-04T09:05:21.9756454Z + SHM_OPTS=--shm-size=1g 2025-12-04T09:05:21.9756740Z + JENKINS_USER='--user jenkins' 2025-12-04T09:05:21.9757085Z + DOCKER_SHELL_CMD= 2025-12-04T09:05:21.9757823Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:05:21.9763911Z +++ nproc --ignore=2 2025-12-04T09:05:21.9788818Z ++ 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=6 -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=14g --memory-swap=17g --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-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:05:28.9471284Z + container_name=06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:05:28.9472279Z + echo DOCKER_CONTAINER_ID=06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:05:28.9473222Z + [[ linux-jammy-py3.10-gcc11 == *\s\3\9\0\x* ]] 2025-12-04T09:05:28.9477157Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T09:05:28.9479459Z + docker exec -t 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T09:05:29.5260258Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T09:05:30.1069533Z 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) 2025-12-04T09:05:30.1073893Z 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) 2025-12-04T09:05:30.1078832Z 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) 2025-12-04T09:05:30.1083692Z 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) 2025-12-04T09:05:30.1087601Z 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) 2025-12-04T09:05:30.1092774Z 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) 2025-12-04T09:05:30.1108579Z 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) 2025-12-04T09:05:30.1481722Z 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) 2025-12-04T09:05:30.1501785Z 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) 2025-12-04T09:05:30.1564663Z 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) 2025-12-04T09:05:30.6963591Z Installing collected packages: torch 2025-12-04T09:05:42.4843713Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T09:05:42.5607820Z + export TERM=vt100 2025-12-04T09:05:42.5608113Z + TERM=vt100 2025-12-04T09:05:42.5610143Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:05:42.5627846Z + source .ci/pytorch/common.sh 2025-12-04T09:05:42.5635393Z +++ dirname .ci/pytorch/common.sh 2025-12-04T09:05:42.5642217Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T09:05:42.5648746Z +++ declare -f -t trap_add 2025-12-04T09:05:42.5654057Z ++ set -ex -o pipefail 2025-12-04T09:05:42.5654348Z ++ [[ linux-jammy-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:05:42.5654683Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T09:05:42.5657574Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:05:42.5664319Z + source .ci/pytorch/common-build.sh 2025-12-04T09:05:42.5670272Z ++ [[ linux-jammy-py3.10-gcc11 != *win-* ]] 2025-12-04T09:05:42.5676027Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T09:05:42.5682941Z +++ cd .ci/pytorch 2025-12-04T09:05:42.5683218Z +++ pwd -P 2025-12-04T09:05:42.5690342Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T09:05:42.5691073Z ++ [[ linux-jammy-py3.10-gcc11 == *-pch* ]] 2025-12-04T09:05:42.5691450Z ++ which sccache 2025-12-04T09:05:42.5712158Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T09:05:42.5712764Z ++ sccache --stop-server 2025-12-04T09:05:42.5846956Z ++ true 2025-12-04T09:05:42.5847483Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T09:05:42.5862774Z ++ trap_add sccache_epilogue EXIT 2025-12-04T09:05:42.5863124Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T09:05:42.5863418Z ++ shift 2025-12-04T09:05:42.5863656Z ++ for trap_add_name in "$@" 2025-12-04T09:05:42.5869251Z ++++ trap -p EXIT 2025-12-04T09:05:42.5872077Z +++ eval 'extract_trap_cmd ' 2025-12-04T09:05:42.5872432Z ++++ extract_trap_cmd 2025-12-04T09:05:42.5872702Z ++++ printf '%s\n' '' 2025-12-04T09:05:42.5872977Z +++ printf '%s\n' sccache_epilogue 2025-12-04T09:05:42.5875215Z ++ trap -- ' 2025-12-04T09:05:42.5875526Z sccache_epilogue' EXIT 2025-12-04T09:05:42.5875937Z ++ [[ -n 1 ]] 2025-12-04T09:05:42.5876634Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T09:05:42.5877605Z Skipping sccache server initialization, setting environment variables 2025-12-04T09:05:42.5878137Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:05:42.5878472Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:05:42.5878866Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:05:42.5879387Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:05:42.5886449Z ++ export RUST_LOG=sccache::server=error 2025-12-04T09:05:42.5886837Z ++ RUST_LOG=sccache::server=error 2025-12-04T09:05:42.5887206Z ++ sccache --zero-stats 2025-12-04T09:05:42.7162546Z Statistics zeroed. 2025-12-04T09:05:42.7166490Z ++ which ccache 2025-12-04T09:05:42.7191927Z + [[ linux-jammy-py3.10-gcc11 != *rocm* ]] 2025-12-04T09:05:42.7192336Z + [[ linux-jammy-py3.10-gcc11 != *s390x* ]] 2025-12-04T09:05:42.7192692Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T09:05:42.7195222Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T09:05:42.7258377Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T09:05:42.7258982Z + trap_add cleanup_workspace EXIT 2025-12-04T09:05:42.7259544Z + trap_add_cmd=cleanup_workspace 2025-12-04T09:05:42.7260020Z + shift 2025-12-04T09:05:42.7260386Z + for trap_add_name in "$@" 2025-12-04T09:05:42.7264686Z +++ trap -p EXIT 2025-12-04T09:05:42.7267841Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T09:05:42.7268443Z sccache_epilogue'\'' EXIT' 2025-12-04T09:05:42.7268815Z +++ extract_trap_cmd trap -- ' 2025-12-04T09:05:42.7269105Z sccache_epilogue' EXIT 2025-12-04T09:05:42.7269359Z +++ printf '%s\n' ' 2025-12-04T09:05:42.7269591Z sccache_epilogue' 2025-12-04T09:05:42.7269851Z ++ printf '%s\n' cleanup_workspace 2025-12-04T09:05:42.7271709Z + trap -- ' 2025-12-04T09:05:42.7272145Z sccache_epilogue 2025-12-04T09:05:42.7272513Z cleanup_workspace' EXIT 2025-12-04T09:05:42.7272834Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T09:05:43.4553760Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T09:05:43.4731203Z + [[ linux-jammy-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:05:43.4731839Z + echo 'Environment variables:' 2025-12-04T09:05:43.4732174Z Environment variables: 2025-12-04T09:05:43.4732414Z + env 2025-12-04T09:05:43.4748954Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:05:43.4749825Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:05:43.4750236Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11 2025-12-04T09:05:43.4750867Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:05:43.4751168Z HOSTNAME=06ee32f9aa81 2025-12-04T09:05:43.4751832Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_47e6b91a-9825-41b0-ab0c-6f4c07630879 2025-12-04T09:05:43.4752543Z GITHUB_ACTION=__run_3 2025-12-04T09:05:43.4752805Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:05:43.4753170Z GITHUB_RUN_NUMBER=384169 2025-12-04T09:05:43.4753472Z TEST_CONFIG=default 2025-12-04T09:05:43.4753757Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:05:43.4754641Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:05:43.4755029Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:05:43.4755706Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:05:43.4756109Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:05:43.4756397Z GITHUB_REF_TYPE=branch 2025-12-04T09:05:43.4757017Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:43.4758329Z XLA_CUDA= 2025-12-04T09:05:43.4758566Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:05:43.4759177Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:05:43.4759641Z *** 2025-12-04T09:05:43.4759848Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:05:43.4760155Z GITHUB_ACTIONS=true 2025-12-04T09:05:43.4760664Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:05:43.4761617Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:43.4762013Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:43.4762548Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-12-04T09:05:43.4763031Z UCC_HOME=/usr 2025-12-04T09:05:43.4763265Z VERBOSE_TEST_LOGS=False 2025-12-04T09:05:43.4763537Z GITHUB_REF=refs/heads/main 2025-12-04T09:05:43.4763798Z SHARD_NUMBER=1 2025-12-04T09:05:43.4764043Z GITHUB_REF_PROTECTED=true 2025-12-04T09:05:43.4764316Z HOME=/var/lib/jenkins 2025-12-04T09:05:43.4764604Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:05:43.4764933Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:05:43.4765239Z UCX_COMMIT= 2025-12-04T09:05:43.4765456Z USE_SYSTEM_NCCL=1 2025-12-04T09:05:43.4765678Z NUM_TEST_SHARDS=5 2025-12-04T09:05:43.4765909Z UCX_HOME=/usr 2025-12-04T09:05:43.4766585Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_47e6b91a-9825-41b0-ab0c-6f4c07630879 2025-12-04T09:05:43.4767696Z JOB_NAME=linux-jammy-py3.10-gcc11 / test (default, 1, 5, linux.2xlarge, rerun_disabled_tests) 2025-12-04T09:05:43.4770568Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_47e6b91a-9825-41b0-ab0c-6f4c07630879 2025-12-04T09:05:43.4771427Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:05:43.4771954Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:05:43.4772214Z DASHBOARD_TAG= 2025-12-04T09:05:43.4772451Z GITHUB_RUN_ID=19922814090 2025-12-04T09:05:43.4772715Z INSTALLED_OPENBLAS= 2025-12-04T09:05:43.4773335Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_47e6b91a-9825-41b0-ab0c-6f4c07630879 2025-12-04T09:05:43.4774028Z GITHUB_ACTOR=huydhn 2025-12-04T09:05:43.4774263Z PR_NUMBER= 2025-12-04T09:05:43.4774463Z DESIRED_CUDA= 2025-12-04T09:05:43.4774688Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:05:43.4774950Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:05:43.4775359Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:05:43.4775720Z TERM=vt100 2025-12-04T09:05:43.4775939Z INSTALLED_VISION=yes 2025-12-04T09:05:43.4776173Z BRANCH=main 2025-12-04T09:05:43.4776400Z SCCACHE_REGION=us-east-1 2025-12-04T09:05:43.4776683Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:05:43.4777024Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:05:43.4777294Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:05:43.4777895Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:05:43.4778594Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:05:43.4778891Z UCC_COMMIT= 2025-12-04T09:05:43.4779112Z REENABLED_ISSUES= 2025-12-04T09:05:43.4779343Z DOCS=yes 2025-12-04T09:05:43.4779748Z SHLVL=1 2025-12-04T09:05:43.4779953Z MAX_JOBS=6 2025-12-04T09:05:43.4780292Z GITHUB_ACTOR_ID=475357 2025-12-04T09:05:43.4780636Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:43.4781504Z GITHUB_REF_NAME=main 2025-12-04T09:05:43.4781900Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:05:43.4783540Z GITHUB_JOB=test 2025-12-04T09:05:43.4783910Z NO_TEST_TIMEOUT=False 2025-12-04T09:05:43.4784390Z TD_DISTRIBUTED=False 2025-12-04T09:05:43.4784658Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:05:43.4785112Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:05:43.4785387Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:05:43.4785727Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:05:43.4787118Z 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 2025-12-04T09:05:43.4788296Z GITHUB_BASE_REF= 2025-12-04T09:05:43.4788543Z INSTALLED_ACL= 2025-12-04T09:05:43.4788883Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-linux.2xlarge_57116258310 2025-12-04T09:05:43.4789298Z CI=true 2025-12-04T09:05:43.4789529Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:05:43.4789850Z RUST_LOG=sccache::server=error 2025-12-04T09:05:43.4790131Z JOB_ID=57116258310 2025-12-04T09:05:43.4790362Z GITHUB_HEAD_REF= 2025-12-04T09:05:43.4790584Z GITHUB_ACTION_REF= 2025-12-04T09:05:43.4790880Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:05:43.4791245Z TEST_SHOWLOCALS=False 2025-12-04T09:05:43.4791490Z GITHUB_WORKFLOW=pull 2025-12-04T09:05:43.4791759Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:05:43.4792410Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_47e6b91a-9825-41b0-ab0c-6f4c07630879 2025-12-04T09:05:43.4793521Z NO_TD=False 2025-12-04T09:05:43.4793745Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:05:43.4794290Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:05:43.4794783Z _=/usr/bin/env 2025-12-04T09:05:43.4795625Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T09:05:43.4959090Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-12-04T09:05:43.4959979Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:05:43.4960672Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-12-04T09:05:43.4961276Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-12-04T09:05:43.4961743Z + BUILD_DIR=build 2025-12-04T09:05:43.4962023Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T09:05:43.4962319Z + BUILD_BIN_DIR=build/bin 2025-12-04T09:05:43.4962588Z + SHARD_NUMBER=1 2025-12-04T09:05:43.4962830Z + NUM_TEST_SHARDS=5 2025-12-04T09:05:43.4963082Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:05:43.4963406Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:05:43.4963692Z + export VALGRIND=ON 2025-12-04T09:05:43.4975534Z + VALGRIND=ON 2025-12-04T09:05:43.4975837Z + [[ linux-jammy-py3.10-gcc11 == *clang9* ]] 2025-12-04T09:05:43.4976190Z + [[ linux-jammy-py3.10-gcc11 == *xpu* ]] 2025-12-04T09:05:43.4976514Z + detect_cuda_arch 2025-12-04T09:05:43.4976782Z + [[ linux-jammy-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:05:43.4977104Z + [[ linux-jammy-py3.10-gcc11 == *s390x* ]] 2025-12-04T09:05:43.4977428Z + [[ 1 == \1 ]] 2025-12-04T09:05:43.4977661Z + ulimit -c 0 2025-12-04T09:05:43.4977915Z + [[ linux-jammy-py3.10-gcc11 != *bazel* ]] 2025-12-04T09:05:43.4978250Z ++ realpath build/custom_test_artifacts 2025-12-04T09:05:43.4988538Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T09:05:43.4989074Z + [[ -n '' ]] 2025-12-04T09:05:43.4989324Z + echo 'Environment variables' 2025-12-04T09:05:43.4989617Z Environment variables 2025-12-04T09:05:43.4989868Z + env 2025-12-04T09:05:43.5008317Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:05:43.5008887Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:05:43.5009209Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11 2025-12-04T09:05:43.5009842Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:05:43.5010216Z HOSTNAME=06ee32f9aa81 2025-12-04T09:05:43.5010916Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_47e6b91a-9825-41b0-ab0c-6f4c07630879 2025-12-04T09:05:43.5011808Z GITHUB_ACTION=__run_3 2025-12-04T09:05:43.5012081Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:05:43.5012377Z GITHUB_RUN_NUMBER=384169 2025-12-04T09:05:43.5012642Z TEST_CONFIG=default 2025-12-04T09:05:43.5012964Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:05:43.5013517Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:05:43.5013846Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:05:43.5014379Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:05:43.5014753Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:05:43.5015030Z GITHUB_REF_TYPE=branch 2025-12-04T09:05:43.5015396Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:43.5015771Z XLA_CUDA= 2025-12-04T09:05:43.5016034Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:05:43.5016719Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:05:43.5017220Z *** 2025-12-04T09:05:43.5017448Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:05:43.5017729Z GITHUB_ACTIONS=true 2025-12-04T09:05:43.5018039Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:05:43.5018449Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:43.5018835Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:43.5019363Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-12-04T09:05:43.5019863Z UCC_HOME=/usr 2025-12-04T09:05:43.5020090Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:05:43.5020373Z VERBOSE_TEST_LOGS=False 2025-12-04T09:05:43.5020643Z GITHUB_REF=refs/heads/main 2025-12-04T09:05:43.5020893Z SHARD_NUMBER=1 2025-12-04T09:05:43.5021134Z GITHUB_REF_PROTECTED=true 2025-12-04T09:05:43.5021402Z HOME=/var/lib/jenkins 2025-12-04T09:05:43.5021674Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:05:43.5022016Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:05:43.5022313Z UCX_COMMIT= 2025-12-04T09:05:43.5022516Z USE_SYSTEM_NCCL=1 2025-12-04T09:05:43.5022749Z NUM_TEST_SHARDS=5 2025-12-04T09:05:43.5022979Z UCX_HOME=/usr 2025-12-04T09:05:43.5023563Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_47e6b91a-9825-41b0-ab0c-6f4c07630879 2025-12-04T09:05:43.5024424Z JOB_NAME=linux-jammy-py3.10-gcc11 / test (default, 1, 5, linux.2xlarge, rerun_disabled_tests) 2025-12-04T09:05:43.5025266Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_47e6b91a-9825-41b0-ab0c-6f4c07630879 2025-12-04T09:05:43.5026111Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:05:43.5026619Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:05:43.5026891Z DASHBOARD_TAG= 2025-12-04T09:05:43.5027124Z GITHUB_RUN_ID=19922814090 2025-12-04T09:05:43.5027392Z INSTALLED_OPENBLAS= 2025-12-04T09:05:43.5028010Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_47e6b91a-9825-41b0-ab0c-6f4c07630879 2025-12-04T09:05:43.5028704Z GITHUB_ACTOR=huydhn 2025-12-04T09:05:43.5028940Z PR_NUMBER= 2025-12-04T09:05:43.5029141Z DESIRED_CUDA= 2025-12-04T09:05:43.5029551Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:05:43.5029801Z VALGRIND=ON 2025-12-04T09:05:43.5030021Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:05:43.5030365Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:05:43.5030721Z TERM=vt100 2025-12-04T09:05:43.5030928Z INSTALLED_VISION=yes 2025-12-04T09:05:43.5031177Z BRANCH=main 2025-12-04T09:05:43.5031407Z SCCACHE_REGION=us-east-1 2025-12-04T09:05:43.5031676Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:05:43.5031979Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:05:43.5032249Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:05:43.5032772Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:05:43.5033376Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:05:43.5033706Z UCC_COMMIT= 2025-12-04T09:05:43.5033925Z REENABLED_ISSUES= 2025-12-04T09:05:43.5034143Z DOCS=yes 2025-12-04T09:05:43.5034347Z SHLVL=1 2025-12-04T09:05:43.5034551Z MAX_JOBS=6 2025-12-04T09:05:43.5034759Z GITHUB_ACTOR_ID=475357 2025-12-04T09:05:43.5035115Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:43.5035520Z GITHUB_REF_NAME=main 2025-12-04T09:05:43.5035896Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:05:43.5036336Z GITHUB_JOB=test 2025-12-04T09:05:43.5036699Z NO_TEST_TIMEOUT=False 2025-12-04T09:05:43.5037060Z TD_DISTRIBUTED=False 2025-12-04T09:05:43.5037324Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:05:43.5037713Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:05:43.5037987Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:05:43.5038250Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:05:43.5039058Z 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 2025-12-04T09:05:43.5039894Z GITHUB_BASE_REF= 2025-12-04T09:05:43.5040121Z INSTALLED_ACL= 2025-12-04T09:05:43.5040477Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-linux.2xlarge_57116258310 2025-12-04T09:05:43.5040893Z CI=true 2025-12-04T09:05:43.5041110Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:05:43.5041451Z RUST_LOG=sccache::server=error 2025-12-04T09:05:43.5041738Z JOB_ID=57116258310 2025-12-04T09:05:43.5041961Z GITHUB_HEAD_REF= 2025-12-04T09:05:43.5042195Z GITHUB_ACTION_REF= 2025-12-04T09:05:43.5042699Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:05:43.5043069Z TEST_SHOWLOCALS=False 2025-12-04T09:05:43.5043314Z GITHUB_WORKFLOW=pull 2025-12-04T09:05:43.5043590Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:05:43.5044242Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_47e6b91a-9825-41b0-ab0c-6f4c07630879 2025-12-04T09:05:43.5044882Z NO_TD=False 2025-12-04T09:05:43.5045119Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:05:43.5045433Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:05:43.5045739Z _=/usr/bin/env 2025-12-04T09:05:43.5045972Z + echo 'Testing pytorch' 2025-12-04T09:05:43.5046234Z Testing pytorch 2025-12-04T09:05:43.5046468Z + export LANG=C.UTF-8 2025-12-04T09:05:43.5046712Z + LANG=C.UTF-8 2025-12-04T09:05:43.5067997Z + PR_NUMBER= 2025-12-04T09:05:43.5068331Z + [[ default == \d\e\f\a\u\l\t ]] 2025-12-04T09:05:43.5068770Z + export CUDA_VISIBLE_DEVICES=0 2025-12-04T09:05:43.5069150Z + CUDA_VISIBLE_DEVICES=0 2025-12-04T09:05:43.5069548Z + export HIP_VISIBLE_DEVICES=0 2025-12-04T09:05:43.5069999Z + HIP_VISIBLE_DEVICES=0 2025-12-04T09:05:43.5070348Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T09:05:43.5070822Z + [[ default == \s\l\o\w ]] 2025-12-04T09:05:43.5071191Z + [[ linux-jammy-py3.10-gcc11 == *slow-gradcheck* ]] 2025-12-04T09:05:43.5071575Z + [[ linux-jammy-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:05:43.5071918Z + [[ linux-jammy-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:05:43.5072241Z + [[ linux-jammy-py3.10-gcc11 == *xpu* ]] 2025-12-04T09:05:43.5072567Z + [[ default == *crossref* ]] 2025-12-04T09:05:43.5072865Z + [[ linux-jammy-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:05:43.5073198Z + [[ linux-jammy-py3.10-gcc11 == *xpu* ]] 2025-12-04T09:05:43.5073530Z + [[ linux-jammy-py3.10-gcc11 != *-bazel-* ]] 2025-12-04T09:05:43.5073872Z + pip_install ninja==1.10.2 2025-12-04T09:05:43.5074245Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T09:05:43.5074948Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T09:05:43.9330379Z Collecting ninja==1.10.2 2025-12-04T09:05:43.9571621Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T09:05:43.9686526Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T09:05:44.4655330Z Installing collected packages: ninja 2025-12-04T09:05:44.4655754Z Attempting uninstall: ninja 2025-12-04T09:05:44.4666029Z Found existing installation: ninja 1.11.1.4 2025-12-04T09:05:44.4687335Z Uninstalling ninja-1.11.1.4: 2025-12-04T09:05:44.4749061Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T09:05:44.5177240Z Successfully installed ninja-1.10.2 2025-12-04T09:05:44.5909514Z + 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 2025-12-04T09:05:44.5911192Z + 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 2025-12-04T09:05:44.5912752Z + [[ linux-jammy-py3.10-gcc11 == *aarch64* ]] 2025-12-04T09:05:44.5913123Z + [[ linux-jammy-py3.10-gcc11 == *asan* ]] 2025-12-04T09:05:44.5913499Z + [[ linux-jammy-py3.10-gcc11 == *-debug* ]] 2025-12-04T09:05:44.5913853Z + [[ linux-jammy-py3.10-gcc11 != *-bazel-* ]] 2025-12-04T09:05:44.5914350Z + echo 'We are not in debug mode: linux-jammy-py3.10-gcc11. Expect the assertion to pass' 2025-12-04T09:05:44.5914992Z We are not in debug mode: linux-jammy-py3.10-gcc11. Expect the assertion to pass 2025-12-04T09:05:44.5915447Z + cd test 2025-12-04T09:05:44.5915787Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T09:05:46.0458957Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T09:05:46.0459663Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T09:05:46.0460364Z + [[ default == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T09:05:46.0465690Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T09:05:46.0466263Z + [[ default == *pr_time_benchmarks* ]] 2025-12-04T09:05:46.0466895Z + [[ default == *dynamo_eager* ]] 2025-12-04T09:05:46.0467546Z + [[ default == *aot_eager* ]] 2025-12-04T09:05:46.0468079Z + [[ default == *aot_inductor* ]] 2025-12-04T09:05:46.0468504Z + [[ default == *max_autotune_inductor* ]] 2025-12-04T09:05:46.0468822Z + [[ default == *inductor* ]] 2025-12-04T09:05:46.0469117Z + [[ default == *dynamic* ]] 2025-12-04T09:05:46.0469394Z + [[ default == *cpu* ]] 2025-12-04T09:05:46.0469658Z + [[ default == *xpu* ]] 2025-12-04T09:05:46.0469940Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T09:05:46.0500238Z + [[ linux-jammy-py3.10-gcc11 == *libtorch* ]] 2025-12-04T09:05:46.0500666Z + [[ linux-jammy-py3.10-gcc11 == *-bazel-* ]] 2025-12-04T09:05:46.0503345Z + cd test 2025-12-04T09:05:46.0504201Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T09:05:47.2218809Z PyTorch built with: 2025-12-04T09:05:47.2219295Z - GCC 11.4 2025-12-04T09:05:47.2219623Z - C++ Version: 201703 2025-12-04T09:05:47.2220469Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:05:47.2221535Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:05:47.2222187Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:05:47.2222676Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T09:05:47.2223147Z - NNPACK is enabled 2025-12-04T09:05:47.2223520Z - CPU capability usage: AVX512 2025-12-04T09:05:47.2230816Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=35b7a9a26c5923d98aebaa41a031dae21788a9ee, CXX_COMPILER=/opt/cache/bin/c++, 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=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, 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, 2025-12-04T09:05:47.2238413Z 2025-12-04T09:05:47.4908691Z + cd test 2025-12-04T09:05:47.4909126Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T09:05:48.6768455Z ATen/Parallel: 2025-12-04T09:05:48.6768931Z at::get_num_threads() : 4 2025-12-04T09:05:48.6769722Z at::get_num_interop_threads() : 4 2025-12-04T09:05:48.6770153Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:05:48.6770778Z omp_get_max_threads() : 4 2025-12-04T09:05:48.6771632Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:05:48.6772507Z mkl_get_max_threads() : 4 2025-12-04T09:05:48.6773065Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:05:48.6773738Z std::thread::hardware_concurrency() : 8 2025-12-04T09:05:48.6774192Z Environment variables: 2025-12-04T09:05:48.6774572Z OMP_NUM_THREADS : [not set] 2025-12-04T09:05:48.6774974Z MKL_NUM_THREADS : [not set] 2025-12-04T09:05:48.6775365Z ATen parallel backend: OpenMP 2025-12-04T09:05:48.6775654Z 2025-12-04T09:05:48.9358096Z + [[ default == *numpy_2* ]] 2025-12-04T09:05:48.9358905Z + [[ linux-jammy-py3.10-gcc11 == *aarch64* ]] 2025-12-04T09:05:48.9359316Z + [[ default == *backward* ]] 2025-12-04T09:05:48.9359712Z + [[ default == *libtorch_agnostic_targetting* ]] 2025-12-04T09:05:48.9360063Z + [[ default == *xla* ]] 2025-12-04T09:05:48.9360381Z + [[ default == *vllm* ]] 2025-12-04T09:05:48.9360663Z + [[ default == *executorch* ]] 2025-12-04T09:05:48.9360987Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T09:05:48.9361327Z + [[ default == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T09:05:48.9361682Z + [[ linux-jammy-py3.10-gcc11 == *libtorch* ]] 2025-12-04T09:05:48.9362062Z + [[ default == distributed ]] 2025-12-04T09:05:48.9362365Z + [[ default == *operator_benchmark* ]] 2025-12-04T09:05:48.9362764Z + [[ default == *operator_microbenchmark* ]] 2025-12-04T09:05:48.9363107Z + [[ default == *attention_microbenchmark* ]] 2025-12-04T09:05:48.9363515Z + [[ default == *inductor_distributed* ]] 2025-12-04T09:05:48.9363844Z + [[ default == *inductor-halide* ]] 2025-12-04T09:05:48.9364203Z + [[ default == *inductor-pallas* ]] 2025-12-04T09:05:48.9364529Z + [[ default == *inductor-triton-cpu* ]] 2025-12-04T09:05:48.9364940Z + [[ default == *inductor-micro-benchmark* ]] 2025-12-04T09:05:48.9365315Z + [[ default == *aoti_cross_compile_for_windows* ]] 2025-12-04T09:05:48.9365720Z + [[ default == *huggingface* ]] 2025-12-04T09:05:48.9366010Z + [[ default == *timm* ]] 2025-12-04T09:05:48.9366290Z + [[ default == cachebench ]] 2025-12-04T09:05:48.9366615Z + [[ default == verify_cachebench ]] 2025-12-04T09:05:48.9366926Z + [[ default == *torchbench* ]] 2025-12-04T09:05:48.9367281Z + [[ default == *inductor_cpp_wrapper* ]] 2025-12-04T09:05:48.9367598Z + [[ default == *inductor_core* ]] 2025-12-04T09:05:48.9367952Z + [[ default == *inductor* ]] 2025-12-04T09:05:48.9368237Z + [[ default == *einops* ]] 2025-12-04T09:05:48.9368502Z + [[ default == *dynamo_core* ]] 2025-12-04T09:05:48.9368854Z + [[ default == *dynamo_wrapped* ]] 2025-12-04T09:05:48.9369177Z + [[ linux-jammy-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:05:48.9369524Z + [[ 1 == 1 ]] 2025-12-04T09:05:48.9369750Z + [[ 5 -gt 1 ]] 2025-12-04T09:05:48.9370008Z + test_lazy_tensor_meta_reference_disabled 2025-12-04T09:05:48.9370474Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T09:05:48.9370945Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T09:05:48.9371411Z + echo 'Testing lazy tensor operations without meta reference' 2025-12-04T09:05:48.9371927Z Testing lazy tensor operations without meta reference 2025-12-04T09:05:48.9372433Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose 2025-12-04T09:05:53.7478631Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:05:53.7945084Z Ignoring disabled issues: [''] 2025-12-04T09:05:53.8048222Z Found test times from artifacts 2025-12-04T09:05:53.8434967Z Found test times from artifacts 2025-12-04T09:05:53.8448123Z Running all tests 2025-12-04T09:05:53.8451964Z Running parallel tests on 3 processes 2025-12-04T09:05:53.8452583Z Name: tests to run (est. time: 0.48min) 2025-12-04T09:05:53.8453278Z Serial tests (0): 2025-12-04T09:05:53.8453533Z Parallel tests (1): 2025-12-04T09:05:53.8453813Z lazy/test_ts_opinfo 1/1 2025-12-04T09:05:53.8454257Z Name: excluded (est. time: 0.0min) 2025-12-04T09:05:53.8454695Z Serial tests (0): 2025-12-04T09:05:53.8455128Z Parallel tests (0): 2025-12-04T09:05:53.8455739Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:05:53.845322][688.275051615] 2025-12-04T09:05:53.8456195Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:05:53.8460044Z 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 09:05:53.845723] 2025-12-04T09:05:58.7826121Z 2025-12-04T09:05:58.7827170Z 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_38bba8a59989c60a_.log 2025-12-04T09:05:58.7829034Z Running 0 items in this shard: 2025-12-04T09:05:58.7829255Z 2025-12-04T09:05:58.7829563Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:05:58.782578][693.212305429], took 0.08min 2025-12-04T09:05:58.7834842Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-a5e846762134351d.xml 2025-12-04T09:05:59.1705449Z Uploading artifacts took 0.11 seconds 2025-12-04T09:06:02.0206235Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:06:02.020180][696.449907706] 2025-12-04T09:06:02.0206810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:02.0209572Z 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 09:06:02.020638] 2025-12-04T09:06:06.9697895Z 2025-12-04T09:06:06.9699087Z 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_9b68f3e15c3a89d0_.log 2025-12-04T09:06:06.9700159Z Running 0 items in this shard: 2025-12-04T09:06:06.9700431Z 2025-12-04T09:06:06.9702605Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:06:06.969864][701.399590144], took 0.08min 2025-12-04T09:06:06.9712497Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-adbfd7b15c9765ea.xml 2025-12-04T09:06:07.7451613Z Running test batch 'tests to run' cost 13.9 seconds 2025-12-04T09:06:08.3884554Z 2025-12-04T09:06:08.3885072Z real 0m19.452s 2025-12-04T09:06:08.3885475Z user 0m25.507s 2025-12-04T09:06:08.3885692Z sys 0m4.453s 2025-12-04T09:06:08.3886042Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE 2025-12-04T09:06:08.3886448Z + test_without_numpy 2025-12-04T09:06:08.3891330Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:06:08.3912066Z + pushd .ci/pytorch 2025-12-04T09:06:08.3912563Z ~/workspace/.ci/pytorch ~/workspace 2025-12-04T09:06:08.3913628Z + 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())' 2025-12-04T09:06:09.0260833Z /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.) 2025-12-04T09:06:09.0262318Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:06:09.7091098Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))' 2025-12-04T09:06:10.3311550Z /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.) 2025-12-04T09:06:10.3313149Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:06:10.7813505Z tensor([0., 1.]) 2025-12-04T09:06:11.0321884Z + [[ default == *dynamo_wrapped* ]] 2025-12-04T09:06:11.0322527Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx' 2025-12-04T09:06:11.6548895Z /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.) 2025-12-04T09:06:11.6551643Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:06:12.3656839Z + popd 2025-12-04T09:06:12.3657140Z ~/workspace 2025-12-04T09:06:12.3657454Z + install_torchvision 2025-12-04T09:06:12.3657752Z + local orig_preload 2025-12-04T09:06:12.3658007Z + local commit 2025-12-04T09:06:12.3660445Z ++ get_pinned_commit vision 2025-12-04T09:06:12.3660769Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T09:06:12.3690238Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:06:12.3690763Z + orig_preload= 2025-12-04T09:06:12.3691080Z + '[' -n '' ']' 2025-12-04T09:06:12.3691413Z + [[ linux-jammy-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:06:12.3692362Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T09:06:12.3693343Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:06:12.3693988Z + local wheel_dir=dist/vision 2025-12-04T09:06:12.3694274Z + local found_whl=0 2025-12-04T09:06:12.3694518Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:06:12.3694852Z + [[ -f dist/vision/*.whl ]] 2025-12-04T09:06:12.3695156Z + '[' 0 == 0 ']' 2025-12-04T09:06:12.3695865Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:06:12.7025759Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:06:12.7030480Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-52hkj9xv 2025-12-04T09:06:12.7174545Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-52hkj9xv 2025-12-04T09:06:14.4392955Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T09:06:14.4413171Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:06:14.5469079Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:06:16.3029949Z Preparing metadata (pyproject.toml) ... [?25l- \ done 2025-12-04T09:06:16.3063708Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T09:08:06.4435091Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done 2025-12-04T09:08:06.4480014Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1296400 sha256=2ef3e9dc83d228766e944840eb8da62afbc585df8cb5340a849599ff7fb73a68 2025-12-04T09:08:06.4482091Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac 2025-12-04T09:08:06.4520319Z Successfully built torchvision 2025-12-04T09:08:06.5356840Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:08:06.5357669Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:08:06.5359023Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl') 2025-12-04T09:08:06.5359691Z + local args 2025-12-04T09:08:06.5360119Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T09:08:06.5360695Z + for path in "${args[@]}" 2025-12-04T09:08:06.5361242Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl' 2025-12-04T09:08:06.5362003Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:08:06.5362885Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:08:06.9007986Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:08:06.9115185Z Installing collected packages: torchvision 2025-12-04T09:08:07.3698935Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T09:08:07.4093722Z + '[' -n '' ']' 2025-12-04T09:08:07.4094065Z + test_python_shard 1 2025-12-04T09:08:07.4094310Z + [[ -z 5 ]] 2025-12-04T09:08:07.4095183Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 1 5 --verbose --upload-artifacts-while-running 2025-12-04T09:08:12.2273645Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:08:12.2373403Z Found test times from artifacts 2025-12-04T09:08:12.2761992Z Found test times from artifacts 2025-12-04T09:08:12.2774300Z Running all tests 2025-12-04T09:08:12.3367637Z Running parallel tests on 3 processes 2025-12-04T09:08:12.3372547Z Name: tests to run (est. time: 89.84min) 2025-12-04T09:08:12.3373177Z Serial tests (51): 2025-12-04T09:08:12.3373532Z dynamo/test_fake_distributed 1/1 2025-12-04T09:08:12.3373837Z test_torch 1/1 2025-12-04T09:08:12.3374069Z test_utils 1/1 2025-12-04T09:08:12.3374423Z test_ci_sanity_check_fail 1/1 2025-12-04T09:08:12.3374836Z test_fx 1/1 2025-12-04T09:08:12.3375167Z test_python_dispatch 1/1 2025-12-04T09:08:12.3375650Z test_tensor_creation_ops 1/1 2025-12-04T09:08:12.3376174Z test_nn 1/1 2025-12-04T09:08:12.3376451Z test_multiprocessing_spawn 1/1 2025-12-04T09:08:12.3376763Z nn/test_pooling 1/1 2025-12-04T09:08:12.3377008Z test_overrides 1/1 2025-12-04T09:08:12.3377266Z test_reductions 1/1 2025-12-04T09:08:12.3377529Z test_spectral_ops 1/1 2025-12-04T09:08:12.3377798Z inductor/test_max_autotune 1/1 2025-12-04T09:08:12.3378089Z doctests 1/1 2025-12-04T09:08:12.3378338Z inductor/test_flex_attention 1/5 2025-12-04T09:08:12.3378644Z inductor/test_flex_attention 2/5 2025-12-04T09:08:12.3378958Z inductor/test_flex_attention 3/5 2025-12-04T09:08:12.3379271Z inductor/test_flex_attention 4/5 2025-12-04T09:08:12.3379575Z inductor/test_flex_attention 5/5 2025-12-04T09:08:12.3379892Z inductor/test_cutlass_backend 1/1 2025-12-04T09:08:12.3380229Z inductor/test_benchmark_fusion 1/1 2025-12-04T09:08:12.3380567Z inductor/test_distributed_patterns 1/1 2025-12-04T09:08:12.3380889Z test_sort_and_select 1/1 2025-12-04T09:08:12.3381188Z test_privateuseone_python_backend 1/1 2025-12-04T09:08:12.3381517Z test_cpp_api_parity 1/1 2025-12-04T09:08:12.3381786Z test_extension_utils 1/1 2025-12-04T09:08:12.3382064Z test_show_pickle 1/1 2025-12-04T09:08:12.3382330Z test_tensorexpr 1/1 2025-12-04T09:08:12.3382591Z test_namedtuple_return_api 1/1 2025-12-04T09:08:12.3382890Z test_fake_tensor 1/1 2025-12-04T09:08:12.3383224Z test_multiprocessing 1/1 2025-12-04T09:08:12.3383646Z test_autograd_fallback 1/1 2025-12-04T09:08:12.3384188Z test_autocast 1/1 2025-12-04T09:08:12.3384535Z test_jit_disabled 1/1 2025-12-04T09:08:12.3384811Z test_cpp_extensions_mtia_backend 1/1 2025-12-04T09:08:12.3385167Z functorch/test_memory_efficient_fusion 1/1 2025-12-04T09:08:12.3385533Z test_cpp_extensions_stream_and_event 1/1 2025-12-04T09:08:12.3386081Z test_dispatch 1/1 2025-12-04T09:08:12.3386347Z nn/test_convolution 1/1 2025-12-04T09:08:12.3386774Z test_cpp_extensions_jit 1/1 2025-12-04T09:08:12.3387117Z test_cuda_trace 1/1 2025-12-04T09:08:12.3387476Z test_native_mha 1/1 2025-12-04T09:08:12.3387972Z test_cuda_nvml_based_avail 1/1 2025-12-04T09:08:12.3388410Z test_mobile_optimizer 1/1 2025-12-04T09:08:12.3388692Z test_cuda_primary_ctx 1/1 2025-12-04T09:08:12.3389000Z distributions/test_distributions 1/1 2025-12-04T09:08:12.3389330Z test_autoload_disable 1/1 2025-12-04T09:08:12.3389608Z test_autoload_enable 1/1 2025-12-04T09:08:12.3389905Z test_cpp_extensions_aot_ninja 1/1 2025-12-04T09:08:12.3390238Z test_cpp_extensions_aot_no_ninja 1/1 2025-12-04T09:08:12.3390564Z Parallel tests (24): 2025-12-04T09:08:12.3390838Z inductor/test_collective_autotuning 1/1 2025-12-04T09:08:12.3391176Z inductor/test_cuda_repro 1/1 2025-12-04T09:08:12.3391490Z inductor/test_layout_optim 1/1 2025-12-04T09:08:12.3391795Z inductor/test_deterministic 1/1 2025-12-04T09:08:12.3392112Z inductor/test_b2b_gemm 1/1 2025-12-04T09:08:12.3392421Z inductor/test_autoheuristic 1/1 2025-12-04T09:08:12.3392730Z inductor/test_loop_ordering 1/1 2025-12-04T09:08:12.3393073Z inductor/test_coordinate_descent_tuner 1/1 2025-12-04T09:08:12.3393428Z inductor/test_control_deps 1/1 2025-12-04T09:08:12.3393752Z inductor/test_aot_inductor_custom_ops 1/1 2025-12-04T09:08:12.3394099Z inductor/test_memory 1/1 2025-12-04T09:08:12.3394391Z inductor/test_pallas 1/1 2025-12-04T09:08:12.3394689Z inductor/test_fxir_backend 1/1 2025-12-04T09:08:12.3394988Z test_varlen_attention 1/1 2025-12-04T09:08:12.3395283Z test_jiterator 1/1 2025-12-04T09:08:12.3395551Z test_ops_fwd_gradients 2/2 2025-12-04T09:08:12.3395830Z test_nestedtensor 3/3 2025-12-04T09:08:12.3396113Z optim/test_lrscheduler 1/1 2025-12-04T09:08:12.3396473Z test_ops 4/5 2025-12-04T09:08:12.3396706Z test_ops 5/5 2025-12-04T09:08:12.3396951Z functorch/test_ops 7/7 2025-12-04T09:08:12.3397244Z functorch/test_aotdispatch 6/8 2025-12-04T09:08:12.3397556Z functorch/test_aotdispatch 8/8 2025-12-04T09:08:12.3397867Z test_cuda_multigpu 1/1 2025-12-04T09:08:12.3398148Z Name: excluded (est. time: 0.0min) 2025-12-04T09:08:12.3398431Z Serial tests (0): 2025-12-04T09:08:12.3398676Z Parallel tests (0): 2025-12-04T09:08:12.3399110Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:08:12.338209][826.767940707] 2025-12-04T09:08:12.3399605Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:12.3400897Z 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 09:08:12.338608] 2025-12-04T09:08:15.7831415Z 2025-12-04T09:08:15.7832995Z 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_e67d05b4b4278117_.log 2025-12-04T09:08:15.7833987Z Running 0 items in this shard: 2025-12-04T09:08:15.7834193Z 2025-12-04T09:08:15.7834517Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:08:15.783119][830.212846531], took 0.06min 2025-12-04T09:08:15.7843288Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-06a33435f5896ec2.xml 2025-12-04T09:08:16.1799966Z Uploading artifacts took 0.12 seconds 2025-12-04T09:08:16.1804067Z Running test_torch 1/1 ... [2025-12-04 09:08:16.180207][830.609935336] 2025-12-04T09:08:16.1804582Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:16.1808776Z 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 09:08:16.180635] 2025-12-04T09:08:43.3662492Z 2025-12-04T09:08:43.3663619Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_1f66877291e2120f_.log 2025-12-04T09:08:43.3716807Z Running 200 items in this shard: test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu 2025-12-04T09:08:43.3765630Z 2025-12-04T09:08:43.3765888Z Finished test_torch 1/1 ... [2025-12-04 09:08:43.366517][857.796238308], took 0.45min 2025-12-04T09:08:43.3766798Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-134b805aed7ec66f.xml 2025-12-04T09:08:43.4456556Z Running test_utils 1/1 ... [2025-12-04 09:08:43.445342][857.875068806] 2025-12-04T09:08:43.4457014Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:43.4461080Z 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 09:08:43.445741] 2025-12-04T09:08:58.6450423Z 2025-12-04T09:08:58.6451724Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_174402904b8abcc7_.log 2025-12-04T09:08:58.6477956Z 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 2025-12-04T09:08:58.6503073Z 2025-12-04T09:08:58.6503312Z Finished test_utils 1/1 ... [2025-12-04 09:08:58.644972][873.074697544], took 0.25min 2025-12-04T09:08:58.6504225Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-7d229b3929ac25fb.xml 2025-12-04T09:08:58.7265496Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:08:58.726201][873.155928815] 2025-12-04T09:08:58.7266018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:58.7268377Z 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 09:08:58.726579] 2025-12-04T09:09:01.7013559Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:09:01.701013][876.130732478], took 0.05min 2025-12-04T09:09:01.7025923Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-2d5317130d53bad6.xml 2025-12-04T09:09:01.9117892Z Uploading logs for 57116258310 to S3 2025-12-04T09:09:01.9400760Z Uploading artifacts took 0.22 seconds 2025-12-04T09:09:01.9401148Z test_ci_sanity_check_fail 1/1 failed! 2025-12-04T09:09:01.9404983Z Running test_fx 1/1 ... [2025-12-04 09:09:01.940343][876.370071281] 2025-12-04T09:09:01.9405392Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:01.9409702Z 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 09:09:01.940720] 2025-12-04T09:12:33.4956145Z 2025-12-04T09:12:33.4957000Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_6626bc3a34726d06_.log 2025-12-04T09:12:33.4984308Z 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 2025-12-04T09:12:33.5010040Z 2025-12-04T09:12:33.5010270Z Finished test_fx 1/1 ... [2025-12-04 09:12:33.494966][1087.924690918], took 3.53min 2025-12-04T09:12:33.5011135Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx/test_fx-81ce88e898e46dff.xml 2025-12-04T09:12:33.5816668Z Running test_python_dispatch 1/1 ... [2025-12-04 09:12:33.581327][1088.011054075] 2025-12-04T09:12:33.5817160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:33.5820255Z 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 09:12:33.581735] 2025-12-04T09:12:38.2296481Z 2025-12-04T09:12:38.2297927Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_bebff4b876f5ba19_.log 2025-12-04T09:12:38.2298731Z Running 0 items in this shard: 2025-12-04T09:12:38.2298928Z 2025-12-04T09:12:38.2299233Z Finished test_python_dispatch 1/1 ... [2025-12-04 09:12:38.229230][1092.658959223], took 0.08min 2025-12-04T09:12:38.2310498Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-7f238288ffcc9aae.xml 2025-12-04T09:12:38.2581617Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 09:12:38.257917][1092.687644689] 2025-12-04T09:12:38.2582239Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:38.2585462Z 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 09:12:38.258276] 2025-12-04T09:12:42.7994285Z 2025-12-04T09:12:42.7995523Z 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_544f36cf64b2ea8e_.log 2025-12-04T09:12:42.7996346Z Running 0 items in this shard: 2025-12-04T09:12:42.7996540Z 2025-12-04T09:12:42.7996889Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 09:12:42.799029][1097.228758451], took 0.08min 2025-12-04T09:12:42.8011629Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-5dae4bc17fc4524a.xml 2025-12-04T09:12:42.8284941Z Running test_nn 1/1 ... [2025-12-04 09:12:42.828286][1097.258014811] 2025-12-04T09:12:42.8285624Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:42.8289263Z 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 09:12:42.828650] 2025-12-04T09:12:50.6476664Z 2025-12-04T09:12:50.6477788Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_5ed9ce338a94067a_.log 2025-12-04T09:12:50.6478453Z Running 0 items in this shard: 2025-12-04T09:12:50.6478645Z 2025-12-04T09:12:50.6478865Z Finished test_nn 1/1 ... [2025-12-04 09:12:50.647491][1105.0772201], took 0.13min 2025-12-04T09:12:50.6494499Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-56fa0d9339c103f8.xml 2025-12-04T09:12:50.7354398Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 09:12:50.735115][1105.164842413] 2025-12-04T09:12:50.7354965Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:50.7357553Z 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 09:12:50.735514] 2025-12-04T09:12:58.7515673Z 2025-12-04T09:12:58.7516828Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_cc0160a81c547ff1_.log 2025-12-04T09:12:58.7517691Z Running 0 items in this shard: 2025-12-04T09:12:58.7517898Z 2025-12-04T09:12:58.7518212Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 09:12:58.751251][1113.180980006], took 0.13min 2025-12-04T09:12:58.7534279Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-b761e6c5abe99104.xml 2025-12-04T09:12:58.8596631Z Running nn/test_pooling 1/1 ... [2025-12-04 09:12:58.859363][1113.289089442] 2025-12-04T09:12:58.8597458Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:58.8600465Z 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 09:12:58.859764] 2025-12-04T09:13:02.3809622Z 2025-12-04T09:13:02.3810497Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_f132ec0299a00962_.log 2025-12-04T09:13:02.3811249Z Running 0 items in this shard: 2025-12-04T09:13:02.3811458Z 2025-12-04T09:13:02.3811716Z Finished nn/test_pooling 1/1 ... [2025-12-04 09:13:02.380787][1116.810515375], took 0.06min 2025-12-04T09:13:02.3830991Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-d589cb341aa06031.xml 2025-12-04T09:13:02.4100834Z Running test_overrides 1/1 ... [2025-12-04 09:13:02.409825][1116.83955207] 2025-12-04T09:13:02.4101294Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:02.4104974Z 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 09:13:02.410228] 2025-12-04T09:13:08.7411306Z 2025-12-04T09:13:08.7412671Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_9c34222a99afe458_.log 2025-12-04T09:13:08.7490737Z 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 2025-12-04T09:13:08.7567996Z 2025-12-04T09:13:08.7568260Z Finished test_overrides 1/1 ... [2025-12-04 09:13:08.741279][1123.171004784], took 0.11min 2025-12-04T09:13:08.7569238Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-0aa007f768780111.xml 2025-12-04T09:13:08.8237720Z Running test_reductions 1/1 ... [2025-12-04 09:13:08.823473][1123.253200221] 2025-12-04T09:13:08.8238396Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:08.8240795Z 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 09:13:08.823830] 2025-12-04T09:13:21.5330813Z 2025-12-04T09:13:21.5331738Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_d52f7df4b6f97a81_.log 2025-12-04T09:13:21.5346944Z 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 2025-12-04T09:13:21.5361851Z 2025-12-04T09:13:21.5362128Z Finished test_reductions 1/1 ... [2025-12-04 09:13:21.532942][1135.962667228], took 0.21min 2025-12-04T09:13:21.5363115Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-b832bf53c5e4c145.xml 2025-12-04T09:13:21.5993241Z Running test_spectral_ops 1/1 ... [2025-12-04 09:13:21.599074][1136.028802298] 2025-12-04T09:13:21.5993719Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:21.5996674Z 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 09:13:21.599425] 2025-12-04T09:13:26.4443892Z 2025-12-04T09:13:26.4444796Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_49d4a6413f322709_.log 2025-12-04T09:13:26.4445537Z Running 0 items in this shard: 2025-12-04T09:13:26.4445741Z 2025-12-04T09:13:26.4446005Z Finished test_spectral_ops 1/1 ... [2025-12-04 09:13:26.444184][1140.873912239], took 0.08min 2025-12-04T09:13:26.4468206Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-e633bcc957537ab7.xml 2025-12-04T09:13:26.4722685Z Running inductor/test_max_autotune 1/1 ... [2025-12-04 09:13:26.472056][1140.901785379] 2025-12-04T09:13:26.4723186Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:26.4726522Z 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 09:13:26.472405] 2025-12-04T09:13:36.7822643Z 2025-12-04T09:13:36.7823922Z 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_d444b8b9719c5100_.log 2025-12-04T09:13:36.7824813Z 2025-12-04T09:13:36.7825203Z Finished inductor/test_max_autotune 1/1 ... [2025-12-04 09:13:36.782069][1151.211795896], took 0.17min 2025-12-04T09:13:36.7851172Z Running doctests 1/1 ... [2025-12-04 09:13:36.784890][1151.214619821] 2025-12-04T09:13:37.3784480Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368. 2025-12-04T09:13:37.3785436Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:37.3786116Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:13:37.3786541Z 2025-12-04T09:13:37.3786793Z This function only works for a library with global namespace ("_"). 2025-12-04T09:13:37.3787194Z 2025-12-04T09:13:37.3787277Z Args: 2025-12-04T09:13:37.3787723Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:13:37.3788313Z to register a fallthrough. 2025-12-04T09:13:37.3788926Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:13:37.3789589Z the dispatch key that the library was created with. 2025-12-04T09:13:37.3790304Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:13:37.3791193Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:13:37.3791632Z 2025-12-04T09:13:37.3791810Z Example:: 2025-12-04T09:13:37.3791961Z 2025-12-04T09:13:37.3792335Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:13:37.3792757Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:13:37.3793237Z >>> # Handle all autocast ops generically 2025-12-04T09:13:37.3793633Z >>> # ... 2025-12-04T09:13:37.3793939Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:13:37.3794356Z 2025-12-04T09:13:37.3795169Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:13:37.3795973Z 2025-12-04T09:13:37.3796128Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:13:37.3796485Z ^ 2025-12-04T09:13:37.3922144Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958. 2025-12-04T09:13:37.3923009Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:37.3923631Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:13:37.3923975Z 2025-12-04T09:13:37.3924160Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:13:37.3924466Z 2025-12-04T09:13:37.3924709Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:13:37.3925300Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:13:37.3925884Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:13:37.3926372Z what the properties of the output Tensors are. 2025-12-04T09:13:37.3926725Z 2025-12-04T09:13:37.3926961Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:13:37.3927523Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:13:37.3928056Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:13:37.3928605Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:13:37.3929128Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:13:37.3929692Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:13:37.3930223Z (and may not directly access the storage or data of any input or 2025-12-04T09:13:37.3930638Z intermediate Tensors). 2025-12-04T09:13:37.3930816Z 2025-12-04T09:13:37.3930975Z This API may be used as a decorator (see examples). 2025-12-04T09:13:37.3931235Z 2025-12-04T09:13:37.3931417Z For a detailed guide on custom ops, please see 2025-12-04T09:13:37.3931905Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:13:37.3932259Z 2025-12-04T09:13:37.3932342Z Args: 2025-12-04T09:13:37.3932689Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:13:37.3933147Z func: Fake tensor implementation. 2025-12-04T09:13:37.3933562Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:13:37.3934059Z allow_override: Flag controlling if we want to override an 2025-12-04T09:13:37.3934537Z existing registered fake impl. This is by default off, 2025-12-04T09:13:37.3934994Z and will error you're trying to register a fake impl to 2025-12-04T09:13:37.3935462Z an operator that already has a fake impl. This also only 2025-12-04T09:13:37.3935914Z applies if the custom operator was not created via 2025-12-04T09:13:37.3936386Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:13:37.3936797Z impl is already allowed. 2025-12-04T09:13:37.3937031Z 2025-12-04T09:13:37.3937118Z Examples: 2025-12-04T09:13:37.3937346Z >>> import torch 2025-12-04T09:13:37.3937605Z >>> import numpy as np 2025-12-04T09:13:37.3937901Z >>> from torch import Tensor 2025-12-04T09:13:37.3938401Z >>> 2025-12-04T09:13:37.3938699Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:13:37.3939322Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:13:37.3939878Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:13:37.3940398Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:13:37.3940765Z >>> 2025-12-04T09:13:37.3941058Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:13:37.3941446Z >>> def _(x, weight, bias): 2025-12-04T09:13:37.3941739Z >>> assert x.dim() == 2 2025-12-04T09:13:37.3942052Z >>> assert weight.dim() == 2 2025-12-04T09:13:37.3942374Z >>> assert bias.dim() == 1 2025-12-04T09:13:37.3942710Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:13:37.3943070Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:13:37.3943438Z >>> assert x.device == weight.device 2025-12-04T09:13:37.3943755Z >>> 2025-12-04T09:13:37.3943984Z >>> return (x @ weight.t()) + bias 2025-12-04T09:13:37.3944295Z >>> 2025-12-04T09:13:37.3944588Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:13:37.3944966Z >>> x = torch.randn(2, 3) 2025-12-04T09:13:37.3945278Z >>> w = torch.randn(3, 3) 2025-12-04T09:13:37.3945582Z >>> b = torch.randn(3) 2025-12-04T09:13:37.3945901Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:13:37.3946235Z >>> 2025-12-04T09:13:37.3946462Z >>> assert y.shape == (2, 3) 2025-12-04T09:13:37.3946738Z >>> 2025-12-04T09:13:37.3947033Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:13:37.3947541Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:13:37.3948013Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:13:37.3948353Z >>> x_np = x.numpy(force=True) 2025-12-04T09:13:37.3948706Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:13:37.3949085Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:13:37.3949405Z >>> 2025-12-04T09:13:37.3949700Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:13:37.3950073Z >>> def _(x): 2025-12-04T09:13:37.3950373Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:13:37.3950776Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:13:37.3951201Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:13:37.3951598Z >>> # represents the data-dependent size. 2025-12-04T09:13:37.3951942Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:13:37.3952280Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:13:37.3952615Z >>> shape = [nnz, x.dim()] 2025-12-04T09:13:37.3952963Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:13:37.3953331Z >>> return result 2025-12-04T09:13:37.3953599Z >>> 2025-12-04T09:13:37.3953896Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:13:37.3954281Z >>> 2025-12-04T09:13:37.3954522Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:13:37.3954990Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:13:37.3955456Z >>> trace.print_readable() 2025-12-04T09:13:37.3955742Z >>> 2025-12-04T09:13:37.3956087Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:13:37.3965446Z 2025-12-04T09:13:37.3965601Z 2025-12-04T09:13:37.3966313Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:13:37.3967113Z 2025-12-04T09:13:37.3967214Z _._ = None 2025-12-04T09:13:37.3967410Z ^ 2025-12-04T09:13:37.4059060Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530. 2025-12-04T09:13:37.4060003Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:37.4060664Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:13:37.4061158Z 2025-12-04T09:13:37.4061505Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:13:37.4062427Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:13:37.4063187Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:13:37.4063701Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:13:37.4064257Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:13:37.4064778Z that calls into the original kernel for certain cases. 2025-12-04T09:13:37.4065055Z 2025-12-04T09:13:37.4065153Z Args: 2025-12-04T09:13:37.4065477Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:13:37.4066039Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:13:37.4066642Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:13:37.4067210Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:13:37.4067517Z 2025-12-04T09:13:37.4067603Z Returns: 2025-12-04T09:13:37.4067976Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:13:37.4068435Z call the kernel. 2025-12-04T09:13:37.4068612Z 2025-12-04T09:13:37.4068693Z Raises: 2025-12-04T09:13:37.4068962Z RuntimeError: If the operator does not exist. 2025-12-04T09:13:37.4069216Z 2025-12-04T09:13:37.4069317Z Example: 2025-12-04T09:13:37.4069591Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:13:37.4070012Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:13:37.4070410Z >>> 2025-12-04T09:13:37.4070663Z >>> # You can also use DispatchKey enum 2025-12-04T09:13:37.4071143Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:13:37.4071609Z >>> 2025-12-04T09:13:37.4071849Z >>> # Or use an OpOverload directly 2025-12-04T09:13:37.4072295Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:13:37.4072715Z >>> 2025-12-04T09:13:37.4073053Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:13:37.4073513Z >>> # Get the original kernel for torch.sin 2025-12-04T09:13:37.4073958Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:13:37.4074379Z >>> 2025-12-04T09:13:37.4074728Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:13:37.4075225Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:13:37.4075563Z >>> if (x < 0).any(): 2025-12-04T09:13:37.4075942Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:13:37.4076389Z >>> else: 2025-12-04T09:13:37.4076691Z >>> return torch.zeros_like(x) 2025-12-04T09:13:37.4077250Z >>> 2025-12-04T09:13:37.4077523Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:13:37.4078083Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:13:37.4078711Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:13:37.4079218Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:13:37.4079670Z >>> 2025-12-04T09:13:37.4080073Z >>> # Test the conditional behavior 2025-12-04T09:13:37.4080485Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:13:37.4080941Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:13:37.4081305Z >>> torch.sin(x_positive) 2025-12-04T09:13:37.4081601Z tensor([0., 0.]) 2025-12-04T09:13:37.4081924Z >>> torch.sin(x_mixed) 2025-12-04T09:13:37.4082193Z tensor([-0.8415, 0.9093]) 2025-12-04T09:13:37.4082485Z 2025-12-04T09:13:37.4083118Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:13:37.4083772Z 2025-12-04T09:13:37.4083965Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:13:37.4084392Z ^ 2025-12-04T09:13:37.6961367Z 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. 2025-12-04T09:13:37.6962326Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:37.6962973Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:13:37.6963570Z required drivers are available and at least one device is visible. 2025-12-04T09:13:37.6964042Z See :ref:`accelerator` for details. 2025-12-04T09:13:37.6964318Z 2025-12-04T09:13:37.6964405Z Returns: 2025-12-04T09:13:37.6964818Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:13:37.6965209Z 2025-12-04T09:13:37.6965501Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:13:37.6966111Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:13:37.6966747Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:13:37.6967263Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:13:37.6967520Z 2025-12-04T09:13:37.6967609Z Example:: 2025-12-04T09:13:37.6967750Z 2025-12-04T09:13:37.6968021Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:13:37.6968494Z 2025-12-04T09:13:37.6969174Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:13:37.6969850Z 2025-12-04T09:13:37.6970110Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:13:37.6970590Z ^ 2025-12-04T09:13:37.6993261Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:13:37.6994173Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:37.6994738Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:13:37.6995079Z 2025-12-04T09:13:37.6995163Z Args: 2025-12-04T09:13:37.6995621Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:13:37.6996298Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:13:37.6996910Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:13:37.6997241Z 2025-12-04T09:13:37.6997571Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:13:37.6998002Z 2025-12-04T09:13:37.6998109Z Example:: 2025-12-04T09:13:37.6998243Z 2025-12-04T09:13:37.6998402Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:13:37.6998917Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:13:37.6999461Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:13:37.7000126Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:13:37.7000477Z >>> start_event.record() 2025-12-04T09:13:37.7001028Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:13:37.7001508Z >>> sum = torch.sum(tensor) 2025-12-04T09:13:37.7001811Z >>> end_event.record() 2025-12-04T09:13:37.7002134Z >>> torch.accelerator.synchronize() 2025-12-04T09:13:37.7002549Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:13:37.7003147Z 2025-12-04T09:13:37.7003824Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:13:37.7004516Z 2025-12-04T09:13:37.7004780Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:13:37.7005268Z ^ 2025-12-04T09:13:37.7310872Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:13:37.7311731Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:37.7312222Z Retrieves the CUDA runtime API module. 2025-12-04T09:13:37.7312441Z 2025-12-04T09:13:37.7312446Z 2025-12-04T09:13:37.7312712Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:13:37.7313315Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:13:37.7313876Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:13:37.7314228Z 2025-12-04T09:13:37.7314311Z Args: 2025-12-04T09:13:37.7314516Z ``None`` 2025-12-04T09:13:37.7314650Z 2025-12-04T09:13:37.7314733Z Returns: 2025-12-04T09:13:37.7315009Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:13:37.7315262Z 2025-12-04T09:13:37.7315354Z Raises: 2025-12-04T09:13:37.7315716Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:13:37.7316430Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:13:37.7317034Z 2025-12-04T09:13:37.7317171Z Example of CUDA operations with profiling: 2025-12-04T09:13:37.7317520Z >>> import torch 2025-12-04T09:13:37.7317816Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:13:37.7318160Z >>> import os 2025-12-04T09:13:37.7318402Z >>> 2025-12-04T09:13:37.7318630Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:13:37.7318963Z >>> 2025-12-04T09:13:37.7319226Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:13:37.7319596Z >>> stream = torch.cuda.Stream() 2025-12-04T09:13:37.7319933Z >>> with torch.cuda.stream(stream): 2025-12-04T09:13:37.7320295Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:13:37.7320669Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:13:37.7321011Z >>> z = torch.mul(x, y) 2025-12-04T09:13:37.7321318Z >>> return z 2025-12-04T09:13:37.7321576Z >>> 2025-12-04T09:13:37.7321815Z >>> torch.cuda.synchronize() 2025-12-04T09:13:37.7322153Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:13:37.7322546Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:13:37.7322941Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:13:37.7323340Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:13:37.7323740Z >>> print("CUDA operations completed.") 2025-12-04T09:13:37.7324146Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:13:37.7324549Z >>> print("====== End nsys profiling ======") 2025-12-04T09:13:37.7324800Z 2025-12-04T09:13:37.7324999Z To run this example and save the profiling information, execute: 2025-12-04T09:13:37.7325917Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:13:37.7326394Z 2025-12-04T09:13:37.7326749Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:13:37.7327305Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:13:37.7327868Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:13:37.7328380Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:13:37.7328872Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:13:37.7329340Z CSV file and print a summary, respectively. 2025-12-04T09:13:37.7329836Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:13:37.7330362Z overwrite of the output file if it already exists. 2025-12-04T09:13:37.7330701Z 2025-12-04T09:13:37.7331473Z 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)) 2025-12-04T09:13:37.7332252Z 2025-12-04T09:13:37.7332597Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:13:37.7333154Z ^ 2025-12-04T09:13:39.1951055Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:13:39.1951946Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:39.1952330Z 2025-12-04T09:13:39.1952552Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:13:39.1953159Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:13:39.1953687Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:13:39.1954138Z vectorizing those operations. 2025-12-04T09:13:39.1954350Z 2025-12-04T09:13:39.1954573Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:13:39.1955103Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:13:39.1955635Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:13:39.1956135Z compute batched gradients when composed with autograd. 2025-12-04T09:13:39.1956412Z 2025-12-04T09:13:39.1956536Z .. note:: 2025-12-04T09:13:39.1956898Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:13:39.1957337Z convenience. Use whichever one you'd like. 2025-12-04T09:13:39.1957573Z 2025-12-04T09:13:39.1957668Z Args: 2025-12-04T09:13:39.1957990Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:13:39.1958440Z Must return one or more Tensors. 2025-12-04T09:13:39.1958869Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:13:39.1959373Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:13:39.1959854Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:13:39.1960354Z input is None, then that indicates there is no map dimension. 2025-12-04T09:13:39.1960752Z Default: 0. 2025-12-04T09:13:39.1961086Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:13:39.1961599Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:13:39.1962068Z it should have one element per output. Default: 0. 2025-12-04T09:13:39.1962524Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:13:39.1963020Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:13:39.1963561Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:13:39.1964084Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:13:39.1964633Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:13:39.1965442Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:13:39.1965992Z Python's random module or numpy randomness. 2025-12-04T09:13:39.1966474Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:13:39.1967045Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:13:39.1967649Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:13:39.1968348Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:13:39.1968734Z 2025-12-04T09:13:39.1968822Z Returns: 2025-12-04T09:13:39.1969139Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:13:39.1969631Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:13:39.1970112Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:13:39.1970606Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:13:39.1971023Z specified by ``out_dims``. 2025-12-04T09:13:39.1971207Z 2025-12-04T09:13:39.1971304Z .. warning: 2025-12-04T09:13:39.1971617Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:13:39.1972121Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:13:39.1972655Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:13:39.1973226Z Python data structures and assigning values to variables not captured 2025-12-04T09:13:39.1973662Z in ``func``. 2025-12-04T09:13:39.1973809Z 2025-12-04T09:13:39.1974043Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:13:39.1974620Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:13:39.1975165Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:13:39.1975514Z 2025-12-04T09:13:39.1975631Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:13:39.1976043Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:13:39.1976483Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:13:39.1976824Z >>> batched_dot(x, y) 2025-12-04T09:13:39.1977000Z 2025-12-04T09:13:39.1977230Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:13:39.1977688Z model authoring experience. 2025-12-04T09:13:39.1977868Z 2025-12-04T09:13:39.1977979Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:13:39.1978370Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:13:39.1978742Z >>> 2025-12-04T09:13:39.1978947Z >>> def model(feature_vec): 2025-12-04T09:13:39.1979263Z >>> # Very simple linear model with activation 2025-12-04T09:13:39.1979636Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:13:39.1979949Z >>> 2025-12-04T09:13:39.1980215Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:13:39.1980597Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:13:39.1980825Z 2025-12-04T09:13:39.1981087Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:13:39.1981684Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:13:39.1982268Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:13:39.1982850Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:13:39.1983438Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:13:39.1984315Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:13:39.1984978Z call to ``autograd.grad``. 2025-12-04T09:13:39.1985201Z 2025-12-04T09:13:39.1985324Z >>> # Setup 2025-12-04T09:13:39.1985536Z >>> N = 5 2025-12-04T09:13:39.1985887Z >>> f = lambda x: x**2 2025-12-04T09:13:39.1986259Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:13:39.1986571Z >>> y = f(x) 2025-12-04T09:13:39.1986907Z >>> I_N = torch.eye(N) 2025-12-04T09:13:39.1987230Z >>> 2025-12-04T09:13:39.1987440Z >>> # Sequential approach 2025-12-04T09:13:39.1987844Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:13:39.1988301Z >>> for v in I_N.unbind()] 2025-12-04T09:13:39.1988691Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:13:39.1989011Z >>> 2025-12-04T09:13:39.1989243Z >>> # vectorized gradient computation 2025-12-04T09:13:39.1989559Z >>> def get_vjp(v): 2025-12-04T09:13:39.1989827Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:13:39.1990179Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:13:39.1990397Z 2025-12-04T09:13:39.1990733Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:13:39.1991119Z 2025-12-04T09:13:39.1991224Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:13:39.1991531Z >>> batched_dot = torch.vmap( 2025-12-04T09:13:39.1991833Z ... torch.vmap(torch.dot) 2025-12-04T09:13:39.1992132Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:13:39.1992495Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:13:39.1992870Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:13:39.1993106Z 2025-12-04T09:13:39.1993355Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:13:39.1993854Z the dimension that each inputs are batched along as 2025-12-04T09:13:39.1994124Z 2025-12-04T09:13:39.1994226Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:13:39.1994716Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:13:39.1995183Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:13:39.1995503Z >>> batched_dot( 2025-12-04T09:13:39.1995750Z ... x, y 2025-12-04T09:13:39.1996078Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:13:39.1996384Z 2025-12-04T09:13:39.1996643Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:13:39.1997305Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:13:39.1997614Z 2025-12-04T09:13:39.1997726Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:13:39.1998161Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:13:39.1998626Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:13:39.1998951Z >>> batched_dot( 2025-12-04T09:13:39.1999188Z ... x, y 2025-12-04T09:13:39.1999507Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:13:39.1999825Z 2025-12-04T09:13:39.2000057Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:13:39.2000528Z matching the shape of the input: 2025-12-04T09:13:39.2000725Z 2025-12-04T09:13:39.2000862Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:13:39.2001247Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:13:39.2001646Z >>> input = {"x": x, "y": y} 2025-12-04T09:13:39.2002012Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:13:39.2002391Z >>> batched_dot(input) 2025-12-04T09:13:39.2002575Z 2025-12-04T09:13:39.2003015Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:13:39.2003536Z along any dimension by using ``out_dims`` 2025-12-04T09:13:39.2003760Z 2025-12-04T09:13:39.2003854Z >>> f = lambda x: x**2 2025-12-04T09:13:39.2004127Z >>> x = torch.randn(2, 5) 2025-12-04T09:13:39.2004438Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:13:39.2004862Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:13:39.2005050Z 2025-12-04T09:13:39.2005481Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:13:39.2005988Z accept kwargs 2025-12-04T09:13:39.2006117Z 2025-12-04T09:13:39.2006312Z >>> x = torch.randn([2, 5]) 2025-12-04T09:13:39.2006587Z >>> def fn(x, scale=4.): 2025-12-04T09:13:39.2006866Z >>> return x * scale 2025-12-04T09:13:39.2007121Z >>> 2025-12-04T09:13:39.2007335Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:13:39.2007690Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:13:39.2008165Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:13:39.2008507Z 2025-12-04T09:13:39.2008623Z .. note:: 2025-12-04T09:13:39.2008953Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:13:39.2009396Z sequences out of the box. 2025-12-04T09:13:39.2009577Z 2025-12-04T09:13:39.2010110Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:13:39.2010743Z 2025-12-04T09:13:39.2010825Z _._ = None 2025-12-04T09:13:39.2011033Z ^ 2025-12-04T09:13:39.2011656Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:13:39.2012490Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:39.2013088Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:13:39.2013626Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:13:39.2014055Z compute higher-order gradients. 2025-12-04T09:13:39.2014265Z 2025-12-04T09:13:39.2014363Z Args: 2025-12-04T09:13:39.2014719Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:13:39.2015429Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:13:39.2016104Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:13:39.2016599Z ``(output, aux)``. 2025-12-04T09:13:39.2017046Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:13:39.2017653Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:13:39.2018197Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:13:39.2018686Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:13:39.2018974Z 2025-12-04T09:13:39.2019058Z Returns: 2025-12-04T09:13:39.2019470Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:13:39.2020106Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:13:39.2020719Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:13:39.2021367Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:13:39.2021882Z respect to each ``argnums`` value is returned. 2025-12-04T09:13:39.2022132Z 2025-12-04T09:13:39.2022246Z Example of using ``grad``: 2025-12-04T09:13:39.2022428Z 2025-12-04T09:13:39.2022525Z >>> # xdoctest: +SKIP 2025-12-04T09:13:39.2022819Z >>> from torch.func import grad 2025-12-04T09:13:39.2023136Z >>> x = torch.randn([]) 2025-12-04T09:13:39.2023432Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:13:39.2023794Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:13:39.2024116Z >>> 2025-12-04T09:13:39.2024334Z >>> # Second-order gradients 2025-12-04T09:13:39.2024689Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:13:39.2025093Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:13:39.2025337Z 2025-12-04T09:13:39.2025597Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:13:39.2026056Z 2025-12-04T09:13:39.2026156Z >>> # xdoctest: +SKIP 2025-12-04T09:13:39.2026521Z >>> from torch.func import grad, vmap 2025-12-04T09:13:39.2026864Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:13:39.2027152Z >>> 2025-12-04T09:13:39.2027389Z >>> def model(weights, feature_vec): 2025-12-04T09:13:39.2027745Z >>> # Very simple linear model with activation 2025-12-04T09:13:39.2028089Z >>> assert feature_vec.dim() == 1 2025-12-04T09:13:39.2028443Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:13:39.2028764Z >>> 2025-12-04T09:13:39.2029022Z >>> def compute_loss(weights, example, target): 2025-12-04T09:13:39.2029366Z >>> y = model(weights, example) 2025-12-04T09:13:39.2029720Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:13:39.2030048Z >>> 2025-12-04T09:13:39.2030332Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:13:39.2030768Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:13:39.2031154Z >>> targets = torch.randn(batch_size) 2025-12-04T09:13:39.2031493Z >>> inputs = (weights, examples, targets) 2025-12-04T09:13:39.2031959Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:13:39.2032402Z ... *inputs 2025-12-04T09:13:39.2032642Z ... ) 2025-12-04T09:13:39.2032765Z 2025-12-04T09:13:39.2032936Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:13:39.2033234Z 2025-12-04T09:13:39.2033329Z >>> # xdoctest: +SKIP 2025-12-04T09:13:39.2033621Z >>> from torch.func import grad 2025-12-04T09:13:39.2033930Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:13:39.2034280Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:13:39.2034639Z >>> loss = loss_per_sample.mean() 2025-12-04T09:13:39.2034984Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:13:39.2035308Z >>> 2025-12-04T09:13:39.2035582Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:13:39.2035952Z >>> y_true = torch.rand(4) 2025-12-04T09:13:39.2036270Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:13:39.2036619Z >>> out = fn(y_true, y_preds) 2025-12-04T09:13:39.2037154Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:13:39.2037513Z 2025-12-04T09:13:39.2037608Z .. note:: 2025-12-04T09:13:39.2037910Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:13:39.2038203Z 2025-12-04T09:13:39.2038348Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:13:39.2038606Z 2025-12-04T09:13:39.2038720Z >>> # xdoctest: +SKIP 2025-12-04T09:13:39.2038997Z >>> def f(x): 2025-12-04T09:13:39.2039276Z >>> with torch.no_grad(): 2025-12-04T09:13:39.2039589Z >>> c = x ** 2 2025-12-04T09:13:39.2039867Z >>> return x - c 2025-12-04T09:13:39.2040065Z 2025-12-04T09:13:39.2040259Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:13:39.2040570Z 2025-12-04T09:13:39.2040762Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:13:39.2041161Z 2025-12-04T09:13:39.2041273Z >>> # xdoctest: +SKIP 2025-12-04T09:13:39.2041561Z >>> with torch.no_grad(): 2025-12-04T09:13:39.2041865Z >>> grad(f)(x) 2025-12-04T09:13:39.2042039Z 2025-12-04T09:13:39.2042272Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:13:39.2042835Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:13:39.2043388Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:13:39.2043827Z 2025-12-04T09:13:39.2043909Z 2025-12-04T09:13:39.2044613Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:13:39.2045243Z 2025-12-04T09:13:39.2045323Z _._ = None 2025-12-04T09:13:39.2045533Z ^ 2025-12-04T09:13:42.3551422Z 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. 2025-12-04T09:13:42.3552436Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:42.3552972Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:13:42.3553270Z 2025-12-04T09:13:42.3553513Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:13:42.3553898Z 2025-12-04T09:13:42.3554115Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:13:42.3554716Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:13:42.3555200Z Given some input Tensors with certain properties 2025-12-04T09:13:42.3555729Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:13:42.3556215Z the output Tensors are. 2025-12-04T09:13:42.3556401Z 2025-12-04T09:13:42.3556619Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:13:42.3557000Z 2025-12-04T09:13:42.3557086Z Args: 2025-12-04T09:13:42.3557424Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:13:42.3557822Z implementation. 2025-12-04T09:13:42.3558005Z 2025-12-04T09:13:42.3558110Z Examples: 2025-12-04T09:13:42.3558339Z >>> import torch 2025-12-04T09:13:42.3558620Z >>> import numpy as np 2025-12-04T09:13:42.3558929Z >>> from torch import Tensor 2025-12-04T09:13:42.3559220Z >>> 2025-12-04T09:13:42.3559553Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:13:42.3560084Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:13:42.3560578Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:13:42.3561016Z >>> return (x @ weight.t()) + bias 2025-12-04T09:13:42.3561337Z >>> 2025-12-04T09:13:42.3561584Z >>> @linear.register_fake 2025-12-04T09:13:42.3561889Z >>> def _(x, weight, bias): 2025-12-04T09:13:42.3562203Z >>> assert x.dim() == 2 2025-12-04T09:13:42.3562524Z >>> assert weight.dim() == 2 2025-12-04T09:13:42.3562842Z >>> assert bias.dim() == 1 2025-12-04T09:13:42.3563192Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:13:42.3563566Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:13:42.3563924Z >>> assert x.device == weight.device 2025-12-04T09:13:42.3564314Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:13:42.3564663Z >>> 2025-12-04T09:13:42.3564896Z >>> x = torch.randn(2, 2) 2025-12-04T09:13:42.3565214Z >>> weight = torch.randn(2, 2) 2025-12-04T09:13:42.3565537Z >>> bias = torch.randn(2) 2025-12-04T09:13:42.3565879Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:13:42.3566314Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:13:42.3566761Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:13:42.3567257Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:13:42.3567702Z >>> 2025-12-04T09:13:42.3568016Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:13:42.3568511Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:13:42.3569258Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:13:42.3569587Z >>> x_np = x.cpu().numpy() 2025-12-04T09:13:42.3570041Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:13:42.3570432Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:13:42.3570758Z >>> 2025-12-04T09:13:42.3571006Z >>> @nonzero.register_fake 2025-12-04T09:13:42.3571311Z >>> def _(x): 2025-12-04T09:13:42.3571616Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:13:42.3572051Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:13:42.3572497Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:13:42.3572904Z >>> # represents the data-dependent size. 2025-12-04T09:13:42.3573257Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:13:42.3573610Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:13:42.3573951Z >>> shape = [nnz, x.dim()] 2025-12-04T09:13:42.3574310Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:13:42.3574676Z >>> return result 2025-12-04T09:13:42.3574957Z >>> 2025-12-04T09:13:42.3575202Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:13:42.3575573Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:13:42.3575980Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:13:42.3576384Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:13:42.3576755Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:13:42.3577005Z 2025-12-04T09:13:42.3577088Z 2025-12-04T09:13:42.3577740Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:13:42.3578381Z 2025-12-04T09:13:42.3578467Z _._ = None 2025-12-04T09:13:42.3578675Z ^ 2025-12-04T09:13:42.3748027Z 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. 2025-12-04T09:13:42.3749021Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:13:42.3749399Z 2025-12-04T09:13:42.3749643Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:13:42.3750234Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:13:42.3750615Z 2025-12-04T09:13:42.3750828Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:13:42.3751404Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:13:42.3751952Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:13:42.3752516Z information we will match a given input to the recorded profile, and return 2025-12-04T09:13:42.3753114Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:13:42.3753604Z doesn't exist then an exception will be thrown. 2025-12-04T09:13:42.3753859Z 2025-12-04T09:13:42.3754094Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:13:42.3754676Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:13:42.3755271Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:13:42.3755879Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:13:42.3756499Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:13:42.3757154Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:13:42.3757714Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:13:42.3758133Z potentially unsafe. 2025-12-04T09:13:42.3758297Z 2025-12-04T09:13:42.3758562Z Args: 2025-12-04T09:13:42.3758907Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:13:42.3759527Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:13:42.3759936Z kernels. 2025-12-04T09:13:42.3760085Z 2025-12-04T09:13:42.3760174Z Examples: 2025-12-04T09:13:42.3760293Z 2025-12-04T09:13:42.3760477Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:13:42.3760843Z >>> import torch 2025-12-04T09:13:42.3761164Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:13:42.3761528Z >>> 2025-12-04T09:13:42.3761831Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:13:42.3762246Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:13:42.3762578Z >>> return x + y 2025-12-04T09:13:42.3762814Z >>> 2025-12-04T09:13:42.3763039Z >>> class M(torch.nn.Module): 2025-12-04T09:13:42.3763345Z >>> def forward(self, a, b): 2025-12-04T09:13:42.3763688Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:13:42.3764045Z >>> return res 2025-12-04T09:13:42.3764306Z >>> 2025-12-04T09:13:42.3764599Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:13:42.3764957Z >>> 2025-12-04T09:13:42.3765379Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:13:42.3765923Z >>> decomp = ep.run_decompositions() 2025-12-04T09:13:42.3766149Z 2025-12-04T09:13:42.3766153Z 2025-12-04T09:13:42.3766627Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:13:42.3767231Z 2025-12-04T09:13:42.9430825Z 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. 2025-12-04T09:13:42.9432078Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:42.9432465Z 2025-12-04T09:13:42.9432748Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:13:42.9433358Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:13:42.9433947Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:13:42.9434415Z input by the user. 2025-12-04T09:13:42.9434810Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:13:42.9435327Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:13:42.9435595Z 2025-12-04T09:13:42.9437551Z Note:: 2025-12-04T09:13:42.9438041Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:13:42.9438485Z 2025-12-04T09:13:42.9438588Z Args: 2025-12-04T09:13:42.9438804Z model (nn.Module): 2025-12-04T09:13:42.9439207Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:13:42.9439826Z sparsified should be added separately using the register_layer() function 2025-12-04T09:13:42.9440329Z aggregate_fn (Optional, Callable): 2025-12-04T09:13:42.9440806Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:13:42.9441366Z specifies how inputs should be aggregated over time. 2025-12-04T09:13:42.9441940Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:13:42.9442430Z Example 2025-12-04T09:13:42.9442757Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:13:42.9443179Z reduce_fn (Optional, Callable): 2025-12-04T09:13:42.9443647Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:13:42.9444283Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:13:42.9445017Z calling agg_fn() on all inputs. 2025-12-04T09:13:42.9445352Z Example 2025-12-04T09:13:42.9445798Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:13:42.9446247Z mask_fn (Optional, Callable): 2025-12-04T09:13:42.9446797Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:13:42.9447482Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:13:42.9447982Z register_layer(). 2025-12-04T09:13:42.9448540Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:13:42.9449127Z arguments. 2025-12-04T09:13:42.9449415Z features (Optional, list): 2025-12-04T09:13:42.9449788Z default selected features to sparsify. 2025-12-04T09:13:42.9450322Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:13:42.9450807Z For example, 2025-12-04T09:13:42.9451260Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:13:42.9451763Z feature_dim (Optional, int): 2025-12-04T09:13:42.9452277Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:13:42.9452779Z for sparsification. 2025-12-04T09:13:42.9453102Z sparse_config (Dict): 2025-12-04T09:13:42.9453533Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:13:42.9453972Z with the mask_fn() 2025-12-04T09:13:42.9454189Z 2025-12-04T09:13:42.9454281Z Example: 2025-12-04T09:13:42.9454545Z >>> # xdoctest: +SKIP 2025-12-04T09:13:42.9454837Z >>> model = SomeModel() 2025-12-04T09:13:42.9455260Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:13:42.9455750Z >>> # Initialize aggregate_fn 2025-12-04T09:13:42.9456070Z >>> def agg_fn(x, y): 2025-12-04T09:13:42.9456338Z >>> return x + y 2025-12-04T09:13:42.9456604Z >>> 2025-12-04T09:13:42.9456844Z >>> # Initialize reduce_fn 2025-12-04T09:13:42.9457125Z >>> def reduce_fn(x): 2025-12-04T09:13:42.9457424Z >>> return torch.mean(x, dim=0) 2025-12-04T09:13:42.9457742Z >>> 2025-12-04T09:13:42.9457968Z >>> # Initialize mask_fn 2025-12-04T09:13:42.9458250Z >>> def mask_fn(data): 2025-12-04T09:13:42.9458569Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:13:42.9458901Z >>> 2025-12-04T09:13:42.9459103Z >>> 2025-12-04T09:13:42.9459341Z >>> act_sparsifier.register_layer( 2025-12-04T09:13:42.9459649Z ... model.some_layer, 2025-12-04T09:13:42.9459939Z ... aggregate_fn=agg_fn, 2025-12-04T09:13:42.9460237Z ... reduce_fn=reduce_fn, 2025-12-04T09:13:42.9460518Z ... mask_fn=mask_fn, 2025-12-04T09:13:42.9460782Z ... ) 2025-12-04T09:13:42.9460992Z >>> 2025-12-04T09:13:42.9461281Z >>> # start training process 2025-12-04T09:13:42.9461616Z >>> for _ in [...]: 2025-12-04T09:13:42.9461873Z >>> # epoch starts 2025-12-04T09:13:42.9462190Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:13:42.9462569Z >>> # epoch ends 2025-12-04T09:13:42.9462827Z >>> act_sparsifier.step() 2025-12-04T09:13:42.9463133Z >>> # end training process 2025-12-04T09:13:42.9463422Z >>> sparsifier.squash_mask() 2025-12-04T09:13:42.9463631Z 2025-12-04T09:13:42.9464135Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:13:42.9464748Z 2025-12-04T09:13:42.9464840Z _._ = None 2025-12-04T09:13:42.9465033Z ^ 2025-12-04T09:13:43.6908567Z 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. 2025-12-04T09:13:43.6910001Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:43.6910394Z 2025-12-04T09:13:43.6910679Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:13:43.6911333Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:13:43.6911820Z ``mesh_dim_names`` 2025-12-04T09:13:43.6911966Z 2025-12-04T09:13:43.6912062Z Args: 2025-12-04T09:13:43.6912408Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:13:43.6912954Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:13:43.6913345Z Returns: 2025-12-04T09:13:43.6913578Z A :class:`DeviceMesh` object 2025-12-04T09:13:43.6913770Z 2025-12-04T09:13:43.6914052Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:13:43.6914565Z In the first example: 2025-12-04T09:13:43.6914979Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:13:43.6915587Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:13:43.6916183Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:13:43.6916757Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:13:43.6917409Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:13:43.6917969Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:13:43.6918325Z 2025-12-04T09:13:43.6918423Z In the second example: 2025-12-04T09:13:43.6918859Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:13:43.6919515Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:13:43.6920163Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:13:43.6920813Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:13:43.6921191Z 2025-12-04T09:13:43.6921324Z Example:: 2025-12-04T09:13:43.6921446Z 2025-12-04T09:13:43.6921563Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:13:43.6921936Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:13:43.6922310Z >>> 2025-12-04T09:13:43.6922632Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:13:43.6923088Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:13:43.6923600Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:13:43.6924078Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:13:43.6924365Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:13:43.6924634Z >>> 2025-12-04T09:13:43.6924853Z >>> # Initialize a 3D mesh. 2025-12-04T09:13:43.6925311Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:13:43.6926017Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:13:43.6926558Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:13:43.6926888Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:13:43.6927100Z 2025-12-04T09:13:43.6927777Z 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)) 2025-12-04T09:13:43.6928579Z 2025-12-04T09:13:43.6928822Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:13:43.6929315Z ^ 2025-12-04T09:13:44.2348791Z 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. 2025-12-04T09:13:44.2349916Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:44.2350350Z 2025-12-04T09:13:44.2350634Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:13:44.2351114Z 2025-12-04T09:13:44.2351405Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:13:44.2351888Z 2025-12-04T09:13:44.2352182Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:13:44.2352769Z will be visible to the whole process. 2025-12-04T09:13:44.2352981Z 2025-12-04T09:13:44.2353317Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:13:44.2353726Z 2025-12-04T09:13:44.2353859Z 1) set_up_planner - called on all ranks. 2025-12-04T09:13:44.2354279Z Signals the start of a checkpoint save. 2025-12-04T09:13:44.2354508Z 2025-12-04T09:13:44.2354632Z 2) create_local_plan - called on all ranks. 2025-12-04T09:13:44.2355219Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:13:44.2355698Z 2025-12-04T09:13:44.2355878Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:13:44.2356431Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:13:44.2356739Z 2025-12-04T09:13:44.2356931Z 4) finish_plan - called on all ranks. 2025-12-04T09:13:44.2357431Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:13:44.2357764Z 2025-12-04T09:13:44.2357988Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:13:44.2358458Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:13:44.2358838Z 2025-12-04T09:13:44.2359142Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:13:44.2359821Z most changes can be expressed by changes in a single method. 2025-12-04T09:13:44.2360113Z 2025-12-04T09:13:44.2360303Z There are 3 usual patterns of extension: 2025-12-04T09:13:44.2360528Z 2025-12-04T09:13:44.2360788Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:13:44.2361440Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:13:44.2361839Z 2025-12-04T09:13:44.2361958Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:13:44.2362313Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:13:44.2362703Z >>> def set_up_planner( 2025-12-04T09:13:44.2362973Z >>> self, 2025-12-04T09:13:44.2363224Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:13:44.2363625Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:13:44.2363973Z >>> is_coordinator: bool, 2025-12-04T09:13:44.2364325Z >>> ) -> None: 2025-12-04T09:13:44.2364565Z >>> # prefix all keys with `foo_`` 2025-12-04T09:13:44.2365130Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:13:44.2365546Z 2025-12-04T09:13:44.2365944Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:13:44.2366408Z 2025-12-04T09:13:44.2366581Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:13:44.2366920Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:13:44.2367321Z >>> def create_local_plan(self): 2025-12-04T09:13:44.2367652Z >>> plan = super().create_local_plan() 2025-12-04T09:13:44.2368005Z >>> for p in plan: 2025-12-04T09:13:44.2368444Z >>> if p.tensor_data is not None: 2025-12-04T09:13:44.2368983Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:13:44.2369355Z >>> return plan 2025-12-04T09:13:44.2369818Z >>> 2025-12-04T09:13:44.2370171Z >>> def resolve_data(self, write_item): 2025-12-04T09:13:44.2370818Z >>> item = super().resolve_data(write_item) 2025-12-04T09:13:44.2371427Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:13:44.2371830Z 2025-12-04T09:13:44.2372169Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:13:44.2372636Z 2025-12-04T09:13:44.2372747Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:13:44.2373087Z >>> from itertools import zip_longest 2025-12-04T09:13:44.2373403Z >>> from dataclasses import replace 2025-12-04T09:13:44.2373787Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:13:44.2374341Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:13:44.2374856Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:13:44.2375223Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:13:44.2375623Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:13:44.2375995Z >>> items_per_rank = [ 2025-12-04T09:13:44.2376309Z >>> [item for item in items if item is not None] 2025-12-04T09:13:44.2376721Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:13:44.2377079Z >>> ] 2025-12-04T09:13:44.2377293Z >>> all_plans = [ 2025-12-04T09:13:44.2377573Z >>> replace(plan, items=items) 2025-12-04T09:13:44.2377987Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:13:44.2378372Z >>> ] 2025-12-04T09:13:44.2378645Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:13:44.2378894Z 2025-12-04T09:13:44.2379171Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:13:44.2379830Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:13:44.2380328Z the global planner aggregate them: 2025-12-04T09:13:44.2380543Z 2025-12-04T09:13:44.2380655Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:13:44.2381032Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:13:44.2381423Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:13:44.2381784Z >>> plan = super().create_local_plan() 2025-12-04T09:13:44.2382183Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:13:44.2382532Z >>> 2025-12-04T09:13:44.2382947Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:13:44.2383565Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:13:44.2384042Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:13:44.2384471Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:13:44.2384869Z >>> return global_plan, metadata 2025-12-04T09:13:44.2385087Z 2025-12-04T09:13:44.2385630Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:13:44.2386270Z 2025-12-04T09:13:44.2386366Z _._ = None 2025-12-04T09:13:44.2386562Z ^ 2025-12-04T09:13:44.2387317Z 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. 2025-12-04T09:13:44.2388280Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:44.2388642Z 2025-12-04T09:13:44.2388939Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:13:44.2389343Z 2025-12-04T09:13:44.2389644Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:13:44.2390051Z 2025-12-04T09:13:44.2390330Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:13:44.2390937Z will be visible to the whole process. 2025-12-04T09:13:44.2391151Z 2025-12-04T09:13:44.2391496Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:13:44.2391889Z 2025-12-04T09:13:44.2392005Z 1) set_up_planner - called on all ranks. 2025-12-04T09:13:44.2392363Z Signals the start of loading a checkpoint. 2025-12-04T09:13:44.2392609Z 2025-12-04T09:13:44.2392732Z 2) create_local_plan - called on all ranks. 2025-12-04T09:13:44.2393243Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:13:44.2393643Z 2025-12-04T09:13:44.2393824Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:13:44.2394316Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:13:44.2394623Z 2025-12-04T09:13:44.2394774Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:13:44.2395195Z This is called once per non-tensor value in state_dict. 2025-12-04T09:13:44.2395473Z 2025-12-04T09:13:44.2395693Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:13:44.2396222Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:13:44.2396513Z 2025-12-04T09:13:44.2396911Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:13:44.2397508Z most changes can be expressed by changes in a single method. 2025-12-04T09:13:44.2397812Z 2025-12-04T09:13:44.2397938Z There are two usual patterns of extension: 2025-12-04T09:13:44.2398181Z 2025-12-04T09:13:44.2398429Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:13:44.2399061Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:13:44.2399656Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:13:44.2400131Z we need to be able to perform it in place 2025-12-04T09:13:44.2400369Z 2025-12-04T09:13:44.2400484Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:13:44.2400838Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:13:44.2401169Z >>> def set_up_planner( 2025-12-04T09:13:44.2401434Z >>> self, 2025-12-04T09:13:44.2401682Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:13:44.2401985Z >>> metadata: Metadata, 2025-12-04T09:13:44.2402274Z >>> is_coordinator: bool, 2025-12-04T09:13:44.2402557Z >>> ) -> None: 2025-12-04T09:13:44.2402986Z >>> self.original_state_dict = state_dict 2025-12-04T09:13:44.2403399Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:13:44.2403775Z >>> 2025-12-04T09:13:44.2404001Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:13:44.2404385Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:13:44.2404741Z >>> 2025-12-04T09:13:44.2404977Z >>> if self.flatten_state_dict: 2025-12-04T09:13:44.2405369Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:13:44.2405761Z >>> 2025-12-04T09:13:44.2405986Z >>> self.state_dict = state_dict 2025-12-04T09:13:44.2406303Z >>> self.metadata = metadata 2025-12-04T09:13:44.2406636Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:13:44.2406956Z >>> 2025-12-04T09:13:44.2407180Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:13:44.2407521Z >>> # Remove the "foo_" prefix 2025-12-04T09:13:44.2408032Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:13:44.2408464Z 2025-12-04T09:13:44.2408469Z 2025-12-04T09:13:44.2408742Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:13:44.2409120Z 2025-12-04T09:13:44.2409231Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:13:44.2409611Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:13:44.2410007Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:13:44.2410481Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:13:44.2410876Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:13:44.2411294Z >>> 2025-12-04T09:13:44.2411542Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:13:44.2411931Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:13:44.2412212Z 2025-12-04T09:13:44.2412744Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:13:44.2413388Z 2025-12-04T09:13:44.2413486Z _._ = None 2025-12-04T09:13:44.2413678Z ^ 2025-12-04T09:13:44.6615534Z 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. 2025-12-04T09:13:44.6616534Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:44.6616901Z 2025-12-04T09:13:44.6617140Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:13:44.6617660Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:13:44.6618174Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:13:44.6618720Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:13:44.6619257Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:13:44.6619650Z follows: 2025-12-04T09:13:44.6619777Z 2025-12-04T09:13:44.6619900Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:13:44.6620374Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:13:44.6620856Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:13:44.6621285Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:13:44.6621822Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:13:44.6622279Z >>> state = fsdp.state_dict() 2025-12-04T09:13:44.6622686Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:13:44.6623256Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:13:44.6623848Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:13:44.6624304Z >>> if dist.get_rank() == 0: 2025-12-04T09:13:44.6624672Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:13:44.6625110Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:13:44.6625486Z >>> model.load_state_dict(state_dict) 2025-12-04T09:13:44.6625936Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:13:44.6626531Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:13:44.6626983Z >>> fsdp = FSDP( 2025-12-04T09:13:44.6627210Z ... model, 2025-12-04T09:13:44.6627482Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:13:44.6627829Z ... auto_wrap_policy=..., 2025-12-04T09:13:44.6628137Z ... sync_module_states=True, 2025-12-04T09:13:44.6628413Z ... ) 2025-12-04T09:13:44.6628743Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:13:44.6629071Z 2025-12-04T09:13:44.6629170Z Attributes: 2025-12-04T09:13:44.6629486Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:13:44.6630005Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:13:44.6630483Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:13:44.6630749Z 2025-12-04T09:13:44.6631255Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:13:44.6631860Z 2025-12-04T09:13:44.6631943Z _._ = None 2025-12-04T09:13:44.6632149Z ^ 2025-12-04T09:13:46.9311474Z 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. 2025-12-04T09:13:46.9312892Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:46.9313444Z Register a parametrization to a tensor in a module. 2025-12-04T09:13:46.9313774Z 2025-12-04T09:13:46.9314049Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:13:46.9314784Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:13:46.9315509Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:13:46.9316240Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:13:46.9316672Z 2025-12-04T09:13:46.9317087Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:13:46.9317844Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:13:46.9318251Z 2025-12-04T09:13:46.9318529Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:13:46.9319088Z ``module.parametrizations.weight``. 2025-12-04T09:13:46.9319321Z 2025-12-04T09:13:46.9319456Z The original tensor will be accessible under 2025-12-04T09:13:46.9319899Z ``module.parametrizations.weight.original``. 2025-12-04T09:13:46.9320154Z 2025-12-04T09:13:46.9320426Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:13:46.9320961Z on the same attribute. 2025-12-04T09:13:46.9321142Z 2025-12-04T09:13:46.9321440Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:13:46.9321934Z to match the training mode of the host module 2025-12-04T09:13:46.9322233Z 2025-12-04T09:13:46.9322546Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:13:46.9323147Z using the context manager :func:`cached`. 2025-12-04T09:13:46.9323390Z 2025-12-04T09:13:46.9323689Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:13:46.9324046Z 2025-12-04T09:13:46.9324186Z .. code-block:: python 2025-12-04T09:13:46.9324413Z 2025-12-04T09:13:46.9324642Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:13:46.9332431Z 2025-12-04T09:13:46.9332842Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:13:46.9333492Z is registered to compute the initial value of the original tensor. 2025-12-04T09:13:46.9334158Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:13:46.9334647Z 2025-12-04T09:13:46.9334993Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:13:46.9335803Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:13:46.9336220Z 2025-12-04T09:13:46.9336462Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:13:46.9337119Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:13:46.9337781Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:13:46.9338188Z 2025-12-04T09:13:46.9338539Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:13:46.9339179Z with names ``original0``, ``original1``,... 2025-12-04T09:13:46.9339430Z 2025-12-04T09:13:46.9339541Z .. note:: 2025-12-04T09:13:46.9339715Z 2025-12-04T09:13:46.9340000Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:13:46.9340588Z once to perform a number of consistency checks. 2025-12-04T09:13:46.9341381Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:13:46.9341953Z and nothing will be called otherwise. 2025-12-04T09:13:46.9342308Z 2025-12-04T09:13:46.9342399Z .. note:: 2025-12-04T09:13:46.9342526Z 2025-12-04T09:13:46.9342803Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:13:46.9343236Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:13:46.9343819Z `right inverse `_). 2025-12-04T09:13:46.9344527Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:13:46.9345044Z to relax this. 2025-12-04T09:13:46.9345198Z 2025-12-04T09:13:46.9345288Z .. warning:: 2025-12-04T09:13:46.9345433Z 2025-12-04T09:13:46.9345753Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:13:46.9346423Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:13:46.9347120Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:13:46.9347778Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:13:46.9348100Z 2025-12-04T09:13:46.9348221Z Args: 2025-12-04T09:13:46.9348576Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:13:46.9349119Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:13:46.9349611Z the parametrization 2025-12-04T09:13:46.9350020Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:13:46.9350420Z Keyword args: 2025-12-04T09:13:46.9350785Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:13:46.9351317Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:13:46.9351953Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:13:46.9352459Z Enable this flag at your own risk. 2025-12-04T09:13:46.9352706Z 2025-12-04T09:13:46.9352789Z Raises: 2025-12-04T09:13:46.9353201Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:13:46.9353602Z 2025-12-04T09:13:46.9353688Z Examples: 2025-12-04T09:13:46.9353973Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:13:46.9354329Z >>> import torch 2025-12-04T09:13:46.9354604Z >>> import torch.nn as nn 2025-12-04T09:13:46.9354926Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:13:46.9355262Z >>> 2025-12-04T09:13:46.9355540Z >>> class Symmetric(nn.Module): 2025-12-04T09:13:46.9355865Z >>> def forward(self, X): 2025-12-04T09:13:46.9356247Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:13:46.9356635Z >>> 2025-12-04T09:13:46.9356944Z >>> def right_inverse(self, A): 2025-12-04T09:13:46.9357277Z >>> return A.triu() 2025-12-04T09:13:46.9357569Z >>> 2025-12-04T09:13:46.9357781Z >>> m = nn.Linear(5, 5) 2025-12-04T09:13:46.9358141Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:13:46.9358668Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:13:46.9359114Z True 2025-12-04T09:13:46.9359335Z >>> A = torch.rand(5, 5) 2025-12-04T09:13:46.9359640Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:13:46.9360062Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:13:46.9360492Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:13:46.9360811Z True 2025-12-04T09:13:46.9360934Z 2025-12-04T09:13:46.9361052Z >>> class RankOne(nn.Module): 2025-12-04T09:13:46.9361356Z >>> def forward(self, x, y): 2025-12-04T09:13:46.9361831Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:13:46.9362318Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:13:46.9362705Z >>> 2025-12-04T09:13:46.9362940Z >>> def right_inverse(self, Z): 2025-12-04T09:13:46.9363278Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:13:46.9363664Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:13:46.9364043Z >>> # Return rescaled singular vectors 2025-12-04T09:13:46.9364395Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:13:46.9364779Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:13:46.9365119Z >>> 2025-12-04T09:13:46.9365392Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:13:46.9365781Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:13:46.9366088Z ... ) 2025-12-04T09:13:46.9366432Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:13:46.9366843Z 1 2025-12-04T09:13:46.9366964Z 2025-12-04T09:13:46.9367061Z 2025-12-04T09:13:46.9367700Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:13:46.9368352Z 2025-12-04T09:13:46.9368435Z _._ = None 2025-12-04T09:13:46.9368641Z ^ 2025-12-04T09:13:47.0566397Z 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. 2025-12-04T09:13:47.0567383Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:47.0567940Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:13:47.0568245Z 2025-12-04T09:13:47.0568449Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:13:47.0568965Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:13:47.0569471Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:13:47.0569915Z of epochs, the learning rate is reduced. 2025-12-04T09:13:47.0570145Z 2025-12-04T09:13:47.0570242Z Args: 2025-12-04T09:13:47.0570492Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:13:47.0570898Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:13:47.0571330Z be reduced when the quantity monitored has stopped 2025-12-04T09:13:47.0571769Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:13:47.0572237Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:13:47.0572725Z factor (float): Factor by which the learning rate will be 2025-12-04T09:13:47.0573160Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:13:47.0573623Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:13:47.0574099Z which the learning rate will be reduced. 2025-12-04T09:13:47.0574578Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:13:47.0575295Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:13:47.0575971Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:13:47.0576456Z we have what is considered an intolerable epoch. 2025-12-04T09:13:47.0576990Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:13:47.0577538Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:13:47.0578147Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:13:47.0578909Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:13:47.0580159Z the learning rate is not adjusted. 2025-12-04T09:13:47.0580476Z Default: 10. 2025-12-04T09:13:47.0580931Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:13:47.0581402Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:13:47.0581844Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:13:47.0582299Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:13:47.0582723Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:13:47.0583143Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:13:47.0583585Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:13:47.0584056Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:13:47.0584528Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:13:47.0584978Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:13:47.0585418Z lower bound on the learning rate of all param groups 2025-12-04T09:13:47.0585833Z or each group respectively. Default: 0. 2025-12-04T09:13:47.0586261Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:13:47.0586724Z between new and old lr is smaller than eps, the update is 2025-12-04T09:13:47.0587131Z ignored. Default: 1e-8. 2025-12-04T09:13:47.0587335Z 2025-12-04T09:13:47.0587431Z Example: 2025-12-04T09:13:47.0587651Z >>> # xdoctest: +SKIP 2025-12-04T09:13:47.0588063Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:13:47.0588570Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:13:47.0588935Z >>> for epoch in range(10): 2025-12-04T09:13:47.0589238Z >>> train(...) 2025-12-04T09:13:47.0589513Z >>> val_loss = validate(...) 2025-12-04T09:13:47.0589883Z >>> # Note that step should be called after validate() 2025-12-04T09:13:47.0590245Z >>> scheduler.step(val_loss) 2025-12-04T09:13:47.0590474Z 2025-12-04T09:13:47.0590708Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:13:47.0591095Z 2025-12-04T09:13:47.0591614Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:13:47.0592154Z 2025-12-04T09:13:47.0592260Z scheduler.step(val_loss) 2025-12-04T09:13:47.0592540Z ^ 2025-12-04T09:13:50.6071287Z running 894 test(s) 2025-12-04T09:13:50.6090436Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file 2025-12-04T09:13:50.6098663Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0 2025-12-04T09:13:50.6099903Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file 2025-12-04T09:13:50.6103913Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0 2025-12-04T09:13:50.6105004Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file 2025-12-04T09:13:50.6113185Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0 2025-12-04T09:13:50.6114523Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file 2025-12-04T09:13:50.6115940Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0 2025-12-04T09:13:50.6117734Z * 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 2025-12-04T09:13:50.6119472Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-12-04T09:13:50.6120876Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file 2025-12-04T09:13:50.6122786Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0 2025-12-04T09:13:50.6124890Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file 2025-12-04T09:13:50.6126204Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-12-04T09:13:50.6127560Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file 2025-12-04T09:13:50.6129237Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0 2025-12-04T09:13:50.6130946Z * 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 2025-12-04T09:13:50.6133334Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-12-04T09:13:50.6134808Z * 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 2025-12-04T09:13:50.6136159Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0 2025-12-04T09:13:50.6137474Z * 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 2025-12-04T09:13:50.6138850Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0 2025-12-04T09:13:50.6140057Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-12-04T09:13:50.6142836Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0 2025-12-04T09:13:50.6143952Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-12-04T09:13:50.6145233Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0 2025-12-04T09:13:50.6146428Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-12-04T09:13:50.6667823Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-12-04T09:13:50.6669303Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-12-04T09:13:50.6670686Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-12-04T09:13:50.6672052Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file 2025-12-04T09:13:50.6689279Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-12-04T09:13:50.6690696Z * 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 2025-12-04T09:13:50.6749118Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-12-04T09:13:50.6750552Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file 2025-12-04T09:13:50.6884340Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-12-04T09:13:50.6887212Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file 2025-12-04T09:13:50.6893548Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-12-04T09:13:50.6894694Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file 2025-12-04T09:13:50.6902983Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0 2025-12-04T09:13:50.6904171Z * 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 2025-12-04T09:13:50.6969666Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-12-04T09:13:50.6971236Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file 2025-12-04T09:13:50.6993830Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0 2025-12-04T09:13:50.6995370Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-12-04T09:13:50.7029942Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-12-04T09:13:50.7031180Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-12-04T09:13:50.7061030Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0 2025-12-04T09:13:50.7062230Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-12-04T09:13:50.7065716Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0 2025-12-04T09:13:50.7066868Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-12-04T09:13:50.7089615Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0 2025-12-04T09:13:50.7090727Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-12-04T09:13:50.7150312Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0 2025-12-04T09:13:50.7151433Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file 2025-12-04T09:13:50.7188653Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0 2025-12-04T09:13:50.7189795Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file 2025-12-04T09:13:50.7312748Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0 2025-12-04T09:13:50.7313961Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-12-04T09:13:50.7328559Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-12-04T09:13:50.7329782Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-12-04T09:13:50.7350726Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0 2025-12-04T09:13:50.7351892Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-12-04T09:13:50.7359471Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0 2025-12-04T09:13:50.7360634Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-12-04T09:13:50.7371963Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0 2025-12-04T09:13:50.7373124Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-12-04T09:13:50.7387969Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0 2025-12-04T09:13:50.7389091Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-12-04T09:13:50.7408418Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0 2025-12-04T09:13:50.7409558Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-12-04T09:13:50.7436511Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0 2025-12-04T09:13:50.7437764Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-12-04T09:13:50.7463055Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0 2025-12-04T09:13:50.7464182Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-12-04T09:13:50.7530928Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0 2025-12-04T09:13:50.7532066Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file 2025-12-04T09:13:50.7564058Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0 2025-12-04T09:13:50.7565902Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file 2025-12-04T09:13:50.7567880Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0 2025-12-04T09:13:50.7569744Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file 2025-12-04T09:13:50.7571361Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0 2025-12-04T09:13:50.7573163Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 477 <- wrt source file 2025-12-04T09:13:50.7574597Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0 2025-12-04T09:13:50.7575599Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 537 <- wrt source file 2025-12-04T09:13:50.7576955Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0 2025-12-04T09:13:50.7578372Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 628 <- wrt source file 2025-12-04T09:13:50.7579414Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0 2025-12-04T09:13:50.7580448Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file 2025-12-04T09:13:50.7581506Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0 2025-12-04T09:13:50.7582612Z * 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 2025-12-04T09:13:50.7583777Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0 2025-12-04T09:13:50.7584947Z * 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 2025-12-04T09:13:50.7586133Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0 2025-12-04T09:13:50.7587292Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file 2025-12-04T09:13:50.7588660Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0 2025-12-04T09:13:50.7589889Z * 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 2025-12-04T09:13:50.7591202Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-12-04T09:13:50.7592421Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file 2025-12-04T09:13:50.7594202Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0 2025-12-04T09:13:50.7595296Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 521 <- wrt source file 2025-12-04T09:13:50.7686083Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0 2025-12-04T09:13:50.7687125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 627 <- wrt source file 2025-12-04T09:13:50.7704377Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0 2025-12-04T09:13:50.7706034Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file 2025-12-04T09:13:50.7707291Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0 2025-12-04T09:13:50.7708441Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file 2025-12-04T09:13:50.7709636Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0 2025-12-04T09:13:50.7710810Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file 2025-12-04T09:13:50.7954907Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0 2025-12-04T09:13:50.7956104Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file 2025-12-04T09:13:50.8056473Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0 2025-12-04T09:13:50.8057680Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file 2025-12-04T09:13:50.8265019Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0 2025-12-04T09:13:50.8266392Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file 2025-12-04T09:13:50.8267595Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0 2025-12-04T09:13:50.8268852Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file 2025-12-04T09:13:50.8273882Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0 2025-12-04T09:13:50.8275205Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file 2025-12-04T09:13:50.8314538Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0 2025-12-04T09:13:50.8315758Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file 2025-12-04T09:13:50.8318926Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0 2025-12-04T09:13:50.8320160Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file 2025-12-04T09:13:50.8322951Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0 2025-12-04T09:13:50.8324228Z * 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 2025-12-04T09:13:50.8358308Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-12-04T09:13:50.8359558Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file 2025-12-04T09:13:50.8366918Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0 2025-12-04T09:13:50.8368441Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-12-04T09:13:50.8369748Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0 2025-12-04T09:13:50.8371183Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file 2025-12-04T09:13:50.8372607Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0 2025-12-04T09:13:50.8373880Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file 2025-12-04T09:13:50.8375079Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0 2025-12-04T09:13:50.8376248Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file 2025-12-04T09:13:50.8377492Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0 2025-12-04T09:13:50.8379389Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file 2025-12-04T09:13:50.8380758Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0 2025-12-04T09:13:50.8381907Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file 2025-12-04T09:13:50.8383045Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0 2025-12-04T09:13:50.8384165Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file 2025-12-04T09:13:50.8386726Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0 2025-12-04T09:13:50.8388490Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-12-04T09:13:50.8389693Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0 2025-12-04T09:13:50.8391217Z * 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 2025-12-04T09:13:50.8392668Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-12-04T09:13:50.8393880Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file 2025-12-04T09:13:50.8408568Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0 2025-12-04T09:13:50.8409922Z * 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 2025-12-04T09:13:50.8415125Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2025-12-04T09:13:50.8416513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file 2025-12-04T09:13:50.8421317Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-12-04T09:13:50.8423790Z * 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 2025-12-04T09:13:50.8425549Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0 2025-12-04T09:13:50.8426851Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file 2025-12-04T09:13:50.8428124Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0 2025-12-04T09:13:50.8429331Z * 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 2025-12-04T09:13:50.8430574Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-12-04T09:13:50.8431835Z * 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 2025-12-04T09:13:51.1263758Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-12-04T09:13:51.1265430Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file 2025-12-04T09:13:51.1266657Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-12-04T09:13:51.1268130Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file 2025-12-04T09:13:51.1269364Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-12-04T09:13:51.1270606Z * 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 2025-12-04T09:13:51.1272409Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-12-04T09:13:51.1273673Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file 2025-12-04T09:13:51.1276624Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-12-04T09:13:51.1278492Z * 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 2025-12-04T09:13:51.1280211Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-12-04T09:13:51.1281952Z * 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 2025-12-04T09:13:51.1283672Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-12-04T09:13:51.1285091Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file 2025-12-04T09:13:51.1286515Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-12-04T09:13:51.1287941Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file 2025-12-04T09:13:51.1289293Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0 2025-12-04T09:13:51.1290571Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file 2025-12-04T09:13:51.1292020Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0 2025-12-04T09:13:51.1293598Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file 2025-12-04T09:13:51.1295025Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0 2025-12-04T09:13:51.1296370Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file 2025-12-04T09:13:51.1297643Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0 2025-12-04T09:13:51.1299035Z * 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 2025-12-04T09:13:51.1300520Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-12-04T09:13:51.1302192Z * 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 2025-12-04T09:13:51.1303677Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0 2025-12-04T09:13:51.1305002Z * 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 2025-12-04T09:13:51.1306338Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-12-04T09:13:51.1307590Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file 2025-12-04T09:13:51.1308796Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0 2025-12-04T09:13:51.1310134Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-12-04T09:13:51.1311577Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0 2025-12-04T09:13:51.1312884Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-12-04T09:13:51.1314247Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-12-04T09:13:51.1315472Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file 2025-12-04T09:13:51.1316728Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0 2025-12-04T09:13:51.1317922Z * 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 2025-12-04T09:13:51.1382366Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-12-04T09:13:51.1384012Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-12-04T09:13:51.1388284Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-12-04T09:13:51.1389823Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-12-04T09:13:51.2897938Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0 2025-12-04T09:13:51.2899206Z * 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 2025-12-04T09:13:51.2906270Z W1204 09:13:51.290000 1031 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. 2025-12-04T09:13:51.2926934Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-12-04T09:13:51.2928192Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-12-04T09:13:51.2960344Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0 2025-12-04T09:13:51.2961505Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file 2025-12-04T09:13:51.2981844Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0 2025-12-04T09:13:51.2983553Z * 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 2025-12-04T09:13:51.3130710Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-12-04T09:13:51.3132043Z * 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 2025-12-04T09:13:51.3240159Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-12-04T09:13:51.3241927Z * 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 2025-12-04T09:13:51.3244021Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-12-04T09:13:51.3245874Z * 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 2025-12-04T09:13:51.3247835Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-12-04T09:13:51.3249949Z * 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 2025-12-04T09:13:51.3252293Z * 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 2025-12-04T09:13:51.3254375Z * 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 2025-12-04T09:13:51.3256285Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-12-04T09:13:51.3258302Z * 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 2025-12-04T09:13:51.3260415Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-12-04T09:13:51.3262353Z * 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 2025-12-04T09:13:51.3264195Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0 2025-12-04T09:13:51.3265947Z * 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 2025-12-04T09:13:51.3630360Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-12-04T09:13:51.3631831Z * 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 2025-12-04T09:13:51.3633414Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-12-04T09:13:51.3634854Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file 2025-12-04T09:13:51.3753027Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-12-04T09:13:51.3754338Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file 2025-12-04T09:13:51.3866773Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-12-04T09:13:51.3868034Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file 2025-12-04T09:13:51.4820907Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-12-04T09:13:51.4822188Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file 2025-12-04T09:13:51.4899379Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-12-04T09:13:51.4900654Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file 2025-12-04T09:13:51.4922816Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-12-04T09:13:51.4924136Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file 2025-12-04T09:13:51.4928791Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-12-04T09:13:51.4930100Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file 2025-12-04T09:13:51.5121643Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-12-04T09:13:51.5122961Z * 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 2025-12-04T09:13:51.5127363Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-12-04T09:13:51.5129248Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-12-04T09:13:51.5130982Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-12-04T09:13:51.5132850Z * 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 2025-12-04T09:13:51.5134856Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-12-04T09:13:51.5136386Z * 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 2025-12-04T09:13:51.5138171Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-12-04T09:13:51.5140265Z * 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 2025-12-04T09:13:51.5142344Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-12-04T09:13:51.5145706Z * 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 2025-12-04T09:13:51.5147941Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-12-04T09:13:51.5149963Z * 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 2025-12-04T09:13:51.5152240Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-12-04T09:13:51.5154666Z * 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 2025-12-04T09:13:51.5156268Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-12-04T09:13:51.5157620Z * 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 2025-12-04T09:13:51.5158810Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0 2025-12-04T09:13:51.5160205Z * 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 2025-12-04T09:13:51.5161835Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0 2025-12-04T09:13:51.5163203Z * 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 2025-12-04T09:13:51.5164403Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-12-04T09:13:51.5165628Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file 2025-12-04T09:13:51.5166947Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-12-04T09:13:51.5168323Z * 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 2025-12-04T09:13:51.5169830Z * 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 2025-12-04T09:13:51.5171251Z * 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 2025-12-04T09:13:51.5172673Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-12-04T09:13:51.5174041Z * 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 2025-12-04T09:13:51.5175432Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0 2025-12-04T09:13:51.5176763Z * 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 2025-12-04T09:13:51.5178115Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0 2025-12-04T09:13:51.5179513Z * 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 2025-12-04T09:13:51.5181197Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0 2025-12-04T09:13:51.5182676Z * 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 2025-12-04T09:13:51.5184187Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0 2025-12-04T09:13:51.5185710Z * 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 2025-12-04T09:13:51.5187300Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0 2025-12-04T09:13:51.5188835Z * 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 2025-12-04T09:13:51.5190366Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0 2025-12-04T09:13:51.5191890Z * 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 2025-12-04T09:13:51.5193487Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0 2025-12-04T09:13:51.5195063Z * 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 2025-12-04T09:13:51.5196750Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0 2025-12-04T09:13:51.5198115Z * 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 2025-12-04T09:13:51.5592513Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-12-04T09:13:51.5593863Z * 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 2025-12-04T09:13:51.5703905Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-12-04T09:13:51.5705450Z * 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 2025-12-04T09:13:51.5706879Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-12-04T09:13:51.5708291Z * 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 2025-12-04T09:13:51.5923863Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-12-04T09:13:51.5925309Z * 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 2025-12-04T09:13:51.6140385Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-12-04T09:13:51.6142662Z * 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 2025-12-04T09:13:51.6144300Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-12-04T09:13:51.6145837Z * 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 2025-12-04T09:13:51.6147414Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-12-04T09:13:51.6148949Z * 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 2025-12-04T09:13:51.6240640Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-12-04T09:13:51.6241976Z * 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 2025-12-04T09:13:51.6248197Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-12-04T09:13:51.6249656Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file 2025-12-04T09:13:51.6251142Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0 2025-12-04T09:13:51.6252324Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file 2025-12-04T09:13:51.6253514Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0 2025-12-04T09:13:51.6254704Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file 2025-12-04T09:13:51.6255902Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0 2025-12-04T09:13:51.6257121Z * 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 2025-12-04T09:13:51.6293159Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2025-12-04T09:13:51.6294488Z * 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 2025-12-04T09:13:51.6295820Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2025-12-04T09:13:51.6297134Z * 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 2025-12-04T09:13:51.6349132Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2025-12-04T09:13:51.6350454Z * 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 2025-12-04T09:13:51.6353011Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2025-12-04T09:13:51.6354323Z * 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 2025-12-04T09:13:51.6440988Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2025-12-04T09:13:51.6442584Z * 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 2025-12-04T09:13:51.6503908Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2025-12-04T09:13:51.6505235Z * 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 2025-12-04T09:13:51.6559708Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-12-04T09:13:51.6561038Z * 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 2025-12-04T09:13:51.6562402Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-12-04T09:13:51.6563685Z * 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 2025-12-04T09:13:51.6620403Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-12-04T09:13:51.6621762Z * 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 2025-12-04T09:13:51.6625446Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-12-04T09:13:51.6626825Z * 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 2025-12-04T09:13:51.6631370Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-12-04T09:13:51.6632873Z * 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 2025-12-04T09:13:51.6634127Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-12-04T09:13:51.6635360Z * 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 2025-12-04T09:13:51.6638841Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-12-04T09:13:51.6640137Z * 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 2025-12-04T09:13:51.6642206Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2025-12-04T09:13:51.6644492Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-12-04T09:13:51.6646391Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-12-04T09:13:51.6648546Z * 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 2025-12-04T09:13:51.6650875Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0 2025-12-04T09:13:51.6652598Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-12-04T09:13:51.6654125Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-12-04T09:13:51.6655478Z * 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 2025-12-04T09:13:51.6656979Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:13:51.6658538Z * 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 2025-12-04T09:13:51.6660209Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:13:51.6661790Z * 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 2025-12-04T09:13:51.6663366Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:13:51.6664930Z * 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 2025-12-04T09:13:51.6666569Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-12-04T09:13:51.6668139Z * 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 2025-12-04T09:13:51.6669722Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-12-04T09:13:51.6671148Z * 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 2025-12-04T09:13:51.6733146Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-12-04T09:13:51.6734905Z * 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 2025-12-04T09:13:51.6770228Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-12-04T09:13:51.6772714Z * 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 2025-12-04T09:13:51.6774994Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-12-04T09:13:51.6776507Z * 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 2025-12-04T09:13:51.6777814Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-12-04T09:13:51.6779085Z * 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 2025-12-04T09:13:51.6780385Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-12-04T09:13:51.6782135Z * 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 2025-12-04T09:13:51.6783768Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-12-04T09:13:51.6785129Z * 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 2025-12-04T09:13:51.6788337Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-12-04T09:13:51.6790647Z * 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 2025-12-04T09:13:51.6792508Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-12-04T09:13:51.6794353Z * 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 2025-12-04T09:13:51.6796344Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-12-04T09:13:51.6798380Z * 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 2025-12-04T09:13:51.6800077Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-12-04T09:13:51.6801545Z * 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 2025-12-04T09:13:51.6803288Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:13:51.6805429Z * 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 2025-12-04T09:13:51.6808197Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:13:51.6810130Z * 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 2025-12-04T09:13:51.6812249Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:13:51.6813995Z * 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 2025-12-04T09:13:51.6815448Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-12-04T09:13:51.6816839Z * 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 2025-12-04T09:13:51.6818248Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-12-04T09:13:51.6819607Z * 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 2025-12-04T09:13:51.6820976Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-12-04T09:13:51.6822361Z * 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 2025-12-04T09:13:51.6823784Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-12-04T09:13:51.6825421Z * 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 2025-12-04T09:13:51.6826862Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-12-04T09:13:51.6828607Z * 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 2025-12-04T09:13:51.6830533Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-12-04T09:13:51.6832377Z * 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 2025-12-04T09:13:51.6834244Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-12-04T09:13:51.6835994Z * 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 2025-12-04T09:13:51.6837830Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2025-12-04T09:13:51.6839555Z * 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 2025-12-04T09:13:51.6841314Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-12-04T09:13:51.6843020Z * 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 2025-12-04T09:13:51.6844797Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-12-04T09:13:51.6846613Z * 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 2025-12-04T09:13:51.6848523Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:13:51.6850395Z * 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 2025-12-04T09:13:51.6852323Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:13:51.6854216Z * 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 2025-12-04T09:13:51.6856136Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:13:51.6858024Z * 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 2025-12-04T09:13:51.6939963Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-12-04T09:13:51.6941923Z * 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 2025-12-04T09:13:51.6954797Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-12-04T09:13:51.6957257Z * 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 2025-12-04T09:13:51.6961014Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-12-04T09:13:51.6963100Z * 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 2025-12-04T09:13:51.6965214Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-12-04T09:13:51.6967096Z * 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 2025-12-04T09:13:51.6968917Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-12-04T09:13:51.6970639Z * 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 2025-12-04T09:13:51.6972357Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2025-12-04T09:13:51.6974490Z * 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 2025-12-04T09:13:51.7007761Z * 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 2025-12-04T09:13:51.7009608Z * 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 2025-12-04T09:13:51.7011705Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-12-04T09:13:51.7013593Z * 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 2025-12-04T09:13:51.7015060Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-12-04T09:13:51.7016618Z * 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 2025-12-04T09:13:51.7018314Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-12-04T09:13:51.7020076Z * 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 2025-12-04T09:13:51.7021754Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2025-12-04T09:13:51.7023231Z * 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 2025-12-04T09:13:51.7024600Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-12-04T09:13:51.7026002Z * 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 2025-12-04T09:13:51.7030330Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-12-04T09:13:51.7032041Z * 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 2025-12-04T09:13:51.7038017Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-12-04T09:13:51.7039503Z * 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 2025-12-04T09:13:51.7044259Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-12-04T09:13:51.7045773Z * 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 2025-12-04T09:13:51.7051228Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-12-04T09:13:51.7052926Z * 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 2025-12-04T09:13:51.7054712Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-12-04T09:13:51.7056092Z * 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 2025-12-04T09:13:51.7057647Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-12-04T09:13:51.7059066Z * 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 2025-12-04T09:13:51.7060496Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-12-04T09:13:51.7062037Z * 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 2025-12-04T09:13:51.7063777Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-12-04T09:13:51.7065626Z * 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 2025-12-04T09:13:51.7067185Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-12-04T09:13:51.7069535Z * 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 2025-12-04T09:13:51.7071805Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-12-04T09:13:51.7073202Z * 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 2025-12-04T09:13:51.7074686Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-12-04T09:13:51.7077113Z * 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 2025-12-04T09:13:51.7080109Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-12-04T09:13:51.7082449Z * 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 2025-12-04T09:13:51.7083867Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-12-04T09:13:51.7085484Z * 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 2025-12-04T09:13:51.7086920Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-12-04T09:13:51.7088313Z * 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 2025-12-04T09:13:51.7089950Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-12-04T09:13:51.7091805Z * 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 2025-12-04T09:13:51.7093430Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-12-04T09:13:51.7095174Z * 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 2025-12-04T09:13:51.7096992Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-12-04T09:13:51.7098742Z * 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 2025-12-04T09:13:51.7100153Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-12-04T09:13:51.7101859Z * 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 2025-12-04T09:13:51.7103660Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-12-04T09:13:51.7105573Z * 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 2025-12-04T09:13:51.7107328Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-12-04T09:13:51.7108651Z * 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 2025-12-04T09:13:51.7109994Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2025-12-04T09:13:51.7111445Z * 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 2025-12-04T09:13:51.7113153Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0 2025-12-04T09:13:51.7115154Z * 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 2025-12-04T09:13:51.7116982Z * 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 2025-12-04T09:13:51.7118525Z * 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 2025-12-04T09:13:51.7120544Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2025-12-04T09:13:51.7122319Z * 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 2025-12-04T09:13:51.7124676Z * 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 2025-12-04T09:13:51.7126709Z * 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 2025-12-04T09:13:51.7128875Z * 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 2025-12-04T09:13:51.7130943Z * 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 2025-12-04T09:13:51.7133100Z * 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 2025-12-04T09:13:51.7135163Z * 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 2025-12-04T09:13:51.7137408Z * 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 2025-12-04T09:13:51.7139222Z * 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 2025-12-04T09:13:51.7141041Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-12-04T09:13:51.7142606Z * 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 2025-12-04T09:13:51.7144351Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-12-04T09:13:51.7145908Z * 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 2025-12-04T09:13:51.7147581Z * 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 2025-12-04T09:13:51.7149202Z * 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 2025-12-04T09:13:51.7150845Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-12-04T09:13:51.7152331Z * 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 2025-12-04T09:13:51.7153640Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0 2025-12-04T09:13:51.7155489Z * 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 2025-12-04T09:13:51.7156814Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0 2025-12-04T09:13:51.7158049Z * 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 2025-12-04T09:13:51.7159363Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0 2025-12-04T09:13:51.7160586Z * 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 2025-12-04T09:13:51.7161813Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2025-12-04T09:13:51.7171634Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 216 <- wrt source file 2025-12-04T09:13:51.7173134Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2025-12-04T09:13:51.7174585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 245 <- wrt source file 2025-12-04T09:13:51.7176245Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2025-12-04T09:13:51.7177624Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file 2025-12-04T09:13:51.7178973Z * 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 2025-12-04T09:13:51.7188752Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0 2025-12-04T09:13:51.7189938Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file 2025-12-04T09:13:51.7191114Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0 2025-12-04T09:13:51.7192289Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file 2025-12-04T09:13:51.7193501Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0 2025-12-04T09:13:51.7194789Z * 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 2025-12-04T09:13:51.7196089Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-12-04T09:13:51.7197528Z * 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 2025-12-04T09:13:51.7199160Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-12-04T09:13:51.7200415Z * 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 2025-12-04T09:13:51.7201695Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-12-04T09:13:51.7203121Z * 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 2025-12-04T09:13:51.7204463Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2025-12-04T09:13:51.7205668Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file 2025-12-04T09:13:51.7206856Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0 2025-12-04T09:13:51.7208062Z * 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 2025-12-04T09:13:51.7209348Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0 2025-12-04T09:13:51.7210636Z * 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 2025-12-04T09:13:51.7211974Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-12-04T09:13:51.7213561Z * 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 2025-12-04T09:13:51.7214849Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-12-04T09:13:51.7216059Z * 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 2025-12-04T09:13:51.7217252Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-12-04T09:13:51.7218717Z * 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 2025-12-04T09:13:51.7220095Z * SKIPPED: 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2025-12-04T09:13:51.7251460Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file 2025-12-04T09:13:51.7253813Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0 2025-12-04T09:13:51.7255309Z * 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 2025-12-04T09:13:51.7256873Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-12-04T09:13:51.7258379Z * 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 2025-12-04T09:13:51.7259796Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-12-04T09:13:51.7261016Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file 2025-12-04T09:13:51.7262236Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0 2025-12-04T09:13:51.7263781Z * 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 2025-12-04T09:13:51.7265323Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-12-04T09:13:51.7266960Z * 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 2025-12-04T09:13:51.7268684Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-12-04T09:13:51.7269894Z * 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 2025-12-04T09:13:51.7271110Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-12-04T09:13:51.7272610Z * 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 2025-12-04T09:13:51.7273993Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-12-04T09:13:51.7275468Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-12-04T09:13:51.7277038Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0 2025-12-04T09:13:51.7278614Z * 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 2025-12-04T09:13:51.7280137Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-12-04T09:13:51.7290061Z * 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 2025-12-04T09:13:51.7291519Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-12-04T09:13:51.7292970Z * 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 2025-12-04T09:13:51.7294587Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-12-04T09:13:51.7296179Z * 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 2025-12-04T09:13:51.7297850Z * 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 2025-12-04T09:13:51.7326177Z * 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 2025-12-04T09:13:51.7327544Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0 2025-12-04T09:13:51.7328946Z * 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 2025-12-04T09:13:51.7330470Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2025-12-04T09:13:51.7332426Z * 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 2025-12-04T09:13:51.7387855Z * 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 2025-12-04T09:13:51.7389938Z * 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 2025-12-04T09:13:51.7402062Z * 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 2025-12-04T09:13:51.7404825Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::init_from_local_shards:0 2025-12-04T09:13:51.7406437Z * 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 2025-12-04T09:13:51.7547280Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0 2025-12-04T09:13:51.7548897Z * 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 2025-12-04T09:13:51.7550566Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0 2025-12-04T09:13:51.7552133Z * 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 2025-12-04T09:13:51.7553817Z * SKIPPED: 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wrt source file 2025-12-04T09:13:51.7706745Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_sync:0 2025-12-04T09:13:51.7707946Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_async:0, line 878 <- wrt source file 2025-12-04T09:13:51.7709189Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/api.py::rpc_async:0 2025-12-04T09:13:51.7710490Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/functions.py::async_execution:0, line 34 <- wrt source file 2025-12-04T09:13:51.7711927Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/functions.py::async_execution:0 2025-12-04T09:13:51.7713442Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/rpc/options.py::TensorPipeRpcBackendOptions.set_device_map:0, line 126 <- wrt source file 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2025-12-04T09:13:51.7793709Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file 2025-12-04T09:13:51.7795347Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0 2025-12-04T09:13:51.7797071Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file 2025-12-04T09:13:51.7798713Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0 2025-12-04T09:13:51.7800214Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0, line 452 <- wrt source file 2025-12-04T09:13:51.7801772Z * SKIPPED: 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2025-12-04T09:13:51.7811456Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2025-12-04T09:13:51.7812745Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file 2025-12-04T09:13:51.7813930Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0 2025-12-04T09:13:51.7815139Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file 2025-12-04T09:13:51.7816416Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0 2025-12-04T09:13:51.7817923Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file 2025-12-04T09:13:51.7819291Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0 2025-12-04T09:13:51.7820538Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-12-04T09:13:51.7821770Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-12-04T09:13:51.7822953Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-12-04T09:13:51.7824134Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0 2025-12-04T09:13:51.7825375Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file 2025-12-04T09:13:51.7826732Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-12-04T09:13:51.7828371Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file 2025-12-04T09:13:51.7829824Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-12-04T09:13:51.7831282Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-12-04T09:13:51.7832834Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-12-04T09:13:51.7834368Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file 2025-12-04T09:13:51.7835909Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-12-04T09:13:51.7837729Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-12-04T09:13:51.7839363Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0 2025-12-04T09:13:51.7840740Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-12-04T09:13:51.7842169Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-12-04T09:13:51.7843581Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-12-04T09:13:51.7844926Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0 2025-12-04T09:13:51.7846272Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-12-04T09:13:51.7847766Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-12-04T09:13:51.7849128Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-12-04T09:13:51.7850415Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0 2025-12-04T09:13:51.7851823Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-12-04T09:13:51.7853057Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-12-04T09:13:51.7854310Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-12-04T09:13:51.7855634Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-12-04T09:13:51.7857181Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-12-04T09:13:51.7858516Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-12-04T09:13:51.7859845Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-12-04T09:13:51.7861211Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0 2025-12-04T09:13:51.7862533Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-12-04T09:13:51.7863913Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-12-04T09:13:51.7865325Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-12-04T09:13:51.7866883Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-12-04T09:13:51.7868156Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-12-04T09:13:51.7869408Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0 2025-12-04T09:13:51.7870683Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-12-04T09:13:51.7872040Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-12-04T09:13:51.7873420Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-12-04T09:13:51.7874976Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-12-04T09:13:51.7876667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-12-04T09:13:51.7878790Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-12-04T09:13:51.7880784Z * 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 2025-12-04T09:13:51.7883096Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2025-12-04T09:13:51.7884987Z * 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 2025-12-04T09:13:51.7886992Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0 2025-12-04T09:13:51.7888851Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-12-04T09:13:51.7890452Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-12-04T09:13:51.7892441Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-12-04T09:13:51.7894578Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-12-04T09:13:51.7895931Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-12-04T09:13:51.7897180Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0 2025-12-04T09:13:51.7898718Z * 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 2025-12-04T09:13:51.7900215Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-12-04T09:13:51.7901601Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-12-04T09:13:51.7903407Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0 2025-12-04T09:13:51.7904716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-12-04T09:13:51.7906433Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0 2025-12-04T09:13:51.7907993Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file 2025-12-04T09:13:51.7909651Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0 2025-12-04T09:13:51.7911550Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file 2025-12-04T09:13:51.7913202Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0 2025-12-04T09:13:51.7914612Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-12-04T09:13:51.7915903Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0 2025-12-04T09:13:51.7917288Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file 2025-12-04T09:13:51.7918660Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0 2025-12-04T09:13:51.7928538Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-12-04T09:13:51.7929814Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-12-04T09:13:51.7931056Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file 2025-12-04T09:13:51.7932336Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-12-04T09:13:51.7933572Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-12-04T09:13:51.7934818Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0 2025-12-04T09:13:51.7936037Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file 2025-12-04T09:13:51.7937274Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0 2025-12-04T09:13:51.7938537Z * 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 2025-12-04T09:13:51.7939878Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0 2025-12-04T09:13:51.7941415Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 123 <- wrt source file 2025-12-04T09:13:51.7942620Z * 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 2025-12-04T09:13:51.8135749Z * 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 2025-12-04T09:13:51.8137322Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file 2025-12-04T09:13:51.8138729Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0 2025-12-04T09:13:51.8140095Z * 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 2025-12-04T09:13:51.8141493Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0 2025-12-04T09:13:51.8142882Z * 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 2025-12-04T09:13:51.8144586Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0 2025-12-04T09:13:51.8145961Z * 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 2025-12-04T09:13:51.8147317Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0 2025-12-04T09:13:51.8148543Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file 2025-12-04T09:13:51.8166732Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0 2025-12-04T09:13:51.8168240Z * 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 2025-12-04T09:13:51.8169638Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2025-12-04T09:13:51.8171017Z * 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 2025-12-04T09:13:51.8238619Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2025-12-04T09:13:51.8240520Z * 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 2025-12-04T09:13:51.9393418Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-12-04T09:13:51.9417410Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file 2025-12-04T09:13:51.9449815Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-12-04T09:13:51.9452261Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file 2025-12-04T09:13:51.9461644Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0 2025-12-04T09:13:51.9463248Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file 2025-12-04T09:13:51.9493521Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0 2025-12-04T09:13:51.9495120Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file 2025-12-04T09:13:51.9526195Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0 2025-12-04T09:13:51.9527729Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file 2025-12-04T09:13:51.9542091Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0 2025-12-04T09:13:51.9543679Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file 2025-12-04T09:13:51.9553555Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0 2025-12-04T09:13:51.9555204Z * 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 2025-12-04T09:13:51.9574135Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-12-04T09:13:51.9575985Z * 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 2025-12-04T09:13:51.9590921Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-12-04T09:13:51.9592594Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file 2025-12-04T09:13:51.9604149Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0 2025-12-04T09:13:51.9605613Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-12-04T09:13:51.9624270Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0 2025-12-04T09:13:51.9625433Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-12-04T09:13:51.9630626Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-12-04T09:13:51.9631742Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-12-04T09:13:51.9651165Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0 2025-12-04T09:13:51.9652765Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-12-04T09:13:51.9657788Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-12-04T09:13:51.9659290Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-12-04T09:13:51.9804011Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0 2025-12-04T09:13:51.9806015Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-12-04T09:13:51.9844966Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-12-04T09:13:51.9847770Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file 2025-12-04T09:13:51.9850270Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0 2025-12-04T09:13:51.9852338Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file 2025-12-04T09:13:51.9856352Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0 2025-12-04T09:13:51.9858341Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file 2025-12-04T09:13:51.9861861Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0 2025-12-04T09:13:51.9863895Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file 2025-12-04T09:13:51.9879187Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0 2025-12-04T09:13:51.9881928Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file 2025-12-04T09:13:51.9885142Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0 2025-12-04T09:13:51.9887148Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file 2025-12-04T09:13:51.9890738Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0 2025-12-04T09:13:51.9892705Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file 2025-12-04T09:13:51.9896249Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0 2025-12-04T09:13:51.9898186Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file 2025-12-04T09:13:51.9901346Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0 2025-12-04T09:13:51.9902428Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file 2025-12-04T09:13:51.9907195Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0 2025-12-04T09:13:51.9908311Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file 2025-12-04T09:13:51.9912443Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-12-04T09:13:51.9913577Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file 2025-12-04T09:13:51.9916446Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0 2025-12-04T09:13:51.9917678Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file 2025-12-04T09:13:51.9920914Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-12-04T09:13:51.9922056Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file 2025-12-04T09:13:51.9925205Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-12-04T09:13:51.9926536Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file 2025-12-04T09:13:51.9927681Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0 2025-12-04T09:13:51.9928766Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file 2025-12-04T09:13:51.9932167Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0 2025-12-04T09:13:51.9933732Z * 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 2025-12-04T09:13:51.9935538Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-12-04T09:13:51.9937354Z * 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 2025-12-04T09:13:51.9938912Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0 2025-12-04T09:13:51.9940636Z * 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 2025-12-04T09:13:51.9942113Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0 2025-12-04T09:13:51.9943445Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2025-12-04T09:13:51.9944678Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-12-04T09:13:51.9945892Z * 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 2025-12-04T09:13:51.9947151Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0 2025-12-04T09:13:51.9948400Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-12-04T09:13:51.9963109Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-12-04T09:13:51.9964314Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-12-04T09:13:51.9970415Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-12-04T09:13:51.9971631Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-12-04T09:13:51.9981842Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-12-04T09:13:51.9983085Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-12-04T09:13:51.9987145Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-12-04T09:13:51.9988376Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-12-04T09:13:51.9991988Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-12-04T09:13:51.9993213Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-12-04T09:13:51.9996729Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-12-04T09:13:51.9997988Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-12-04T09:13:52.0012406Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-12-04T09:13:52.0013643Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-12-04T09:13:52.0016955Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-12-04T09:13:52.0018138Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-12-04T09:13:52.0022401Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-12-04T09:13:52.0023599Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-12-04T09:13:52.0027941Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0 2025-12-04T09:13:52.0029187Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-12-04T09:13:52.0033357Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-12-04T09:13:52.0034587Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-12-04T09:13:52.0038669Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0 2025-12-04T09:13:52.0039866Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-12-04T09:13:52.0043979Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0 2025-12-04T09:13:52.0045191Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-12-04T09:13:52.0049137Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0 2025-12-04T09:13:52.0050337Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-12-04T09:13:52.0054721Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0 2025-12-04T09:13:52.0055909Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-12-04T09:13:52.0156248Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0 2025-12-04T09:13:52.0158976Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-12-04T09:13:52.0163927Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-12-04T09:13:52.0166404Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-12-04T09:13:52.0170005Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-12-04T09:13:52.0171707Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-12-04T09:13:52.0175250Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-12-04T09:13:52.0176911Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-12-04T09:13:52.0181544Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-12-04T09:13:52.0183200Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-12-04T09:13:52.0188046Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-12-04T09:13:52.0190559Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file 2025-12-04T09:13:52.0193379Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-12-04T09:13:52.0195769Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file 2025-12-04T09:13:52.0198189Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-12-04T09:13:52.0200229Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file 2025-12-04T09:13:52.0203135Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-12-04T09:13:52.0205500Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file 2025-12-04T09:13:52.0209664Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-12-04T09:13:52.0211384Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file 2025-12-04T09:13:52.0215342Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-12-04T09:13:52.0216986Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file 2025-12-04T09:13:52.0220999Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-12-04T09:13:52.0222644Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file 2025-12-04T09:13:52.0227477Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-12-04T09:13:52.0229436Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file 2025-12-04T09:13:52.0233066Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-12-04T09:13:52.0234745Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file 2025-12-04T09:13:52.0242838Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-12-04T09:13:52.0244627Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file 2025-12-04T09:13:52.0544085Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-12-04T09:13:52.3481212Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file 2025-12-04T09:13:52.3483276Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-12-04T09:13:52.3648912Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file 2025-12-04T09:13:52.3651340Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2025-12-04T09:13:52.3653933Z * 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 2025-12-04T09:13:52.3656944Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2025-12-04T09:13:52.3659411Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-12-04T09:13:52.3682569Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-12-04T09:13:52.3685270Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-12-04T09:13:52.3687579Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0 2025-12-04T09:13:52.3689893Z * 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 2025-12-04T09:13:52.3697499Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-12-04T09:13:52.3699982Z * 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 2025-12-04T09:13:52.3708837Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-12-04T09:13:52.3711359Z * 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 2025-12-04T09:13:52.3722144Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-12-04T09:13:52.3724610Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file 2025-12-04T09:13:52.3727088Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-12-04T09:13:52.3729479Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file 2025-12-04T09:13:52.3731881Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-12-04T09:13:52.3734246Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file 2025-12-04T09:13:52.3737044Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-12-04T09:13:52.3739672Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file 2025-12-04T09:13:52.3742675Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-12-04T09:13:52.3745365Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-12-04T09:13:52.3748225Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-12-04T09:13:52.3750784Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-12-04T09:13:52.3761705Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-12-04T09:13:52.3764404Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-12-04T09:13:52.3770177Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-12-04T09:13:52.3772819Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-12-04T09:13:52.3779404Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-12-04T09:13:52.3808676Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-12-04T09:13:52.3810635Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-12-04T09:13:52.3812602Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-12-04T09:13:52.3899105Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-12-04T09:13:52.3901015Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-12-04T09:13:52.3905474Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-12-04T09:13:52.3907254Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-12-04T09:13:52.4000821Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-12-04T09:13:52.4002948Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file 2025-12-04T09:13:52.4009124Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-12-04T09:13:52.4010734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file 2025-12-04T09:13:52.4028862Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2025-12-04T09:13:52.4030412Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-12-04T09:13:52.4043300Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0 2025-12-04T09:13:52.4044434Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-12-04T09:13:52.4088176Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-12-04T09:13:52.4089917Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file 2025-12-04T09:13:52.4104828Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-12-04T09:13:52.4106729Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file 2025-12-04T09:13:52.4333666Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-12-04T09:13:52.4335875Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file 2025-12-04T09:13:52.7237498Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-12-04T09:13:52.7405590Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-12-04T09:13:52.7410966Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-12-04T09:13:52.7412240Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-12-04T09:13:52.7419462Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0 2025-12-04T09:13:52.7420656Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-12-04T09:13:52.7446949Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0 2025-12-04T09:13:52.7448190Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-12-04T09:13:52.7469744Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-12-04T09:13:52.7470905Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file 2025-12-04T09:13:52.7479256Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-12-04T09:13:52.7480406Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file 2025-12-04T09:13:52.7521642Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-12-04T09:13:52.7523656Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file 2025-12-04T09:13:52.7530757Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-12-04T09:13:52.7532446Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file 2025-12-04T09:13:52.7549200Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-12-04T09:13:52.7550806Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file 2025-12-04T09:13:52.7559959Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-12-04T09:13:52.7561757Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file 2025-12-04T09:13:52.7578758Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-12-04T09:13:52.7580324Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file 2025-12-04T09:13:52.7587194Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-12-04T09:13:52.7588826Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file 2025-12-04T09:13:52.7601993Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-12-04T09:13:52.7603876Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file 2025-12-04T09:13:52.7610001Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-12-04T09:13:52.7612002Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file 2025-12-04T09:13:52.7620619Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-12-04T09:13:52.7622448Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file 2025-12-04T09:13:52.7631146Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-12-04T09:13:52.7633115Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file 2025-12-04T09:13:52.7635319Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-12-04T09:13:52.7637250Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file 2025-12-04T09:13:52.7646816Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-12-04T09:13:52.7648647Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file 2025-12-04T09:13:52.7655822Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-12-04T09:13:52.7657532Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file 2025-12-04T09:13:52.7665633Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-12-04T09:13:52.7667313Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file 2025-12-04T09:13:52.7679983Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-12-04T09:13:52.7681386Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file 2025-12-04T09:13:52.7705571Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2025-12-04T09:13:52.7707545Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file 2025-12-04T09:13:52.7740562Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2025-12-04T09:13:52.7742243Z * 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 2025-12-04T09:13:52.7744063Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-12-04T09:13:52.7745771Z * 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 2025-12-04T09:13:52.7759463Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-12-04T09:13:52.7761084Z * 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 2025-12-04T09:13:52.7769054Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0 2025-12-04T09:13:52.7771426Z * 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 2025-12-04T09:13:52.7773200Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-12-04T09:13:52.7774902Z * 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 2025-12-04T09:13:52.7776664Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-12-04T09:13:52.7778429Z * 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 2025-12-04T09:13:52.7780285Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-12-04T09:13:52.7781697Z * 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 2025-12-04T09:13:52.7782980Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-12-04T09:13:52.7784258Z * 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 2025-12-04T09:13:52.7785595Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-12-04T09:13:52.7787092Z * 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 2025-12-04T09:13:52.7788623Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-12-04T09:13:52.7789918Z * 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 2025-12-04T09:13:52.7791202Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-12-04T09:13:52.7792484Z * 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 2025-12-04T09:13:52.7793819Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-12-04T09:13:52.7795177Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-12-04T09:13:52.7832946Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-12-04T09:13:52.7835309Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-12-04T09:13:52.7863128Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-12-04T09:13:52.7865110Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-12-04T09:13:52.7889603Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-12-04T09:13:52.7891502Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file 2025-12-04T09:13:52.7898094Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-12-04T09:13:52.7899805Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-12-04T09:13:52.7913391Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-12-04T09:13:52.7915087Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file 2025-12-04T09:13:52.7938388Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-12-04T09:13:52.7939664Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file 2025-12-04T09:13:53.5087546Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-12-04T09:13:53.5397596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file 2025-12-04T09:13:53.5409241Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-12-04T09:13:53.5410634Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file 2025-12-04T09:13:53.5416408Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-12-04T09:13:53.5417715Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file 2025-12-04T09:13:53.5445210Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-12-04T09:13:53.5446958Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file 2025-12-04T09:13:53.5483848Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-12-04T09:13:53.5485577Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file 2025-12-04T09:13:53.5499911Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-12-04T09:13:53.5501669Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file 2025-12-04T09:13:53.5505113Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-12-04T09:13:53.5506826Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file 2025-12-04T09:13:53.5521401Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-12-04T09:13:53.5523144Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file 2025-12-04T09:13:53.5537758Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-12-04T09:13:53.5539863Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file 2025-12-04T09:13:54.1513113Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-12-04T09:13:54.1823533Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file 2025-12-04T09:13:54.1835022Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-12-04T09:13:54.1836246Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file 2025-12-04T09:13:54.1843008Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-12-04T09:13:54.1844253Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file 2025-12-04T09:13:54.1871113Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-12-04T09:13:54.1872808Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-12-04T09:13:54.1878655Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-12-04T09:13:54.1880462Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-12-04T09:13:54.1885997Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-12-04T09:13:54.1887711Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-12-04T09:13:54.1904296Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-12-04T09:13:54.1913500Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-12-04T09:13:54.1982368Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-12-04T09:13:54.1984012Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-12-04T09:13:54.4494131Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-12-04T09:13:54.4553749Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-12-04T09:13:54.4567913Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-12-04T09:13:54.4569582Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file 2025-12-04T09:13:54.4593117Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2025-12-04T09:13:54.4594771Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-12-04T09:13:54.5504795Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-12-04T09:13:54.5506467Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-12-04T09:13:54.5527815Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-12-04T09:13:54.5529439Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-12-04T09:13:54.5576389Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-12-04T09:13:54.5578006Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-12-04T09:13:54.7565553Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-12-04T09:13:54.7627021Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-12-04T09:13:54.7682993Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-12-04T09:13:54.7684820Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-12-04T09:13:54.8451005Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-12-04T09:13:54.8452746Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file 2025-12-04T09:13:54.8462003Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-12-04T09:13:54.8463864Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file 2025-12-04T09:13:54.8523414Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-12-04T09:13:54.8525559Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file 2025-12-04T09:13:55.1046406Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-12-04T09:13:55.1108234Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file 2025-12-04T09:13:55.1127415Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-12-04T09:13:55.1129197Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file 2025-12-04T09:13:55.1140659Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-12-04T09:13:55.1142460Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file 2025-12-04T09:13:55.1174070Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-12-04T09:13:55.1175836Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file 2025-12-04T09:13:55.1197049Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-12-04T09:13:55.1198814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file 2025-12-04T09:13:55.1208091Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-12-04T09:13:55.1209896Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file 2025-12-04T09:13:55.1235288Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-12-04T09:13:55.1236980Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file 2025-12-04T09:13:55.1255980Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-12-04T09:13:55.1258732Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file 2025-12-04T09:13:55.1869257Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-12-04T09:13:55.1870781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file 2025-12-04T09:13:55.1889633Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-12-04T09:13:55.1891463Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file 2025-12-04T09:13:55.1905033Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-12-04T09:13:55.1906181Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file 2025-12-04T09:13:55.1917036Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-12-04T09:13:55.1918243Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file 2025-12-04T09:13:55.1932710Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-12-04T09:13:55.1933898Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-12-04T09:13:55.1949734Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-12-04T09:13:55.1951073Z * 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 2025-12-04T09:13:55.1956228Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-12-04T09:13:55.1957649Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file 2025-12-04T09:13:55.1982690Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2025-12-04T09:13:55.1984559Z * 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 2025-12-04T09:13:55.1990777Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-12-04T09:13:55.1992581Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file 2025-12-04T09:13:56.1471328Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-12-04T09:13:56.1612668Z * 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 2025-12-04T09:13:56.1614167Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2025-12-04T09:13:56.1615556Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file 2025-12-04T09:13:56.2834247Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-12-04T09:13:56.2839000Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file 2025-12-04T09:13:56.5469564Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-12-04T09:13:56.5479089Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file 2025-12-04T09:13:56.5811175Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-12-04T09:13:56.5813430Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file 2025-12-04T09:13:56.6425592Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-12-04T09:13:56.6427654Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-12-04T09:13:56.6488800Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-12-04T09:13:56.6490143Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-12-04T09:13:56.6504039Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-12-04T09:13:56.6505436Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-12-04T09:13:56.6515229Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-12-04T09:13:56.6517169Z * 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 2025-12-04T09:13:56.6519364Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-12-04T09:13:56.6521734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file 2025-12-04T09:13:56.6523219Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-12-04T09:13:56.6524712Z * 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 2025-12-04T09:13:56.6526273Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-12-04T09:13:56.6527801Z * 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 2025-12-04T09:13:56.6529765Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2025-12-04T09:13:56.6531368Z * 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 2025-12-04T09:13:56.6533046Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-12-04T09:13:56.6534702Z * 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 2025-12-04T09:13:56.6536970Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-12-04T09:13:56.6538923Z * 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 2025-12-04T09:13:56.6541318Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-12-04T09:13:56.6543021Z * 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 2025-12-04T09:13:56.6544716Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2025-12-04T09:13:56.6546226Z * 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 2025-12-04T09:13:56.6547737Z * 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 2025-12-04T09:13:56.6549159Z * 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 2025-12-04T09:13:56.6550911Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0 2025-12-04T09:13:56.6552930Z * 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 2025-12-04T09:13:56.6555349Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2025-12-04T09:13:56.6557700Z * 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 2025-12-04T09:13:56.6559239Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2025-12-04T09:13:56.6560659Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file 2025-12-04T09:13:56.6562007Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-12-04T09:13:56.6563309Z * 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 2025-12-04T09:13:56.6564655Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-12-04T09:13:56.6566224Z * 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 2025-12-04T09:13:56.6567596Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-12-04T09:13:56.6568823Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file 2025-12-04T09:13:56.6570000Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0 2025-12-04T09:13:56.6571215Z * 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 2025-12-04T09:13:56.6572505Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-12-04T09:13:56.6573735Z * 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 2025-12-04T09:13:56.6574979Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-12-04T09:13:56.6576210Z * 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 2025-12-04T09:13:56.6577472Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-12-04T09:13:56.6578694Z * 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 2025-12-04T09:13:56.6591357Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0 2025-12-04T09:13:56.6592625Z * 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 2025-12-04T09:13:56.6610456Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2025-12-04T09:13:56.6611714Z * 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 2025-12-04T09:13:56.6621162Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2025-12-04T09:13:56.6622345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file 2025-12-04T09:13:56.6628495Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0 2025-12-04T09:13:56.6629666Z * 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 2025-12-04T09:13:56.6637854Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-12-04T09:13:56.6639068Z * 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 2025-12-04T09:13:56.6662654Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2025-12-04T09:13:56.6663877Z * 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 2025-12-04T09:13:56.6669631Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-12-04T09:13:56.6670813Z * 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 2025-12-04T09:13:56.6695359Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-12-04T09:13:56.6696950Z * 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 2025-12-04T09:13:56.6705022Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-12-04T09:13:56.6706605Z * 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 2025-12-04T09:13:56.6726021Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-12-04T09:13:56.6727412Z * 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 2025-12-04T09:13:56.6734301Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-12-04T09:13:56.6735631Z * 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 2025-12-04T09:13:56.6742399Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-12-04T09:13:56.6743718Z * 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 2025-12-04T09:13:56.6747592Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-12-04T09:13:56.6748866Z * 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 2025-12-04T09:13:56.6765021Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-12-04T09:13:56.6766741Z * 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 2025-12-04T09:13:56.6771483Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-12-04T09:13:56.6773300Z * 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 2025-12-04T09:13:56.6775198Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-12-04T09:13:56.6777273Z * 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 2025-12-04T09:13:56.6779634Z * 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 2025-12-04T09:13:56.6781668Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file 2025-12-04T09:13:56.6783279Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-12-04T09:13:56.6784935Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file 2025-12-04T09:13:56.6786682Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-12-04T09:13:56.6788575Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file 2025-12-04T09:13:56.6790157Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-12-04T09:13:56.6791745Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file 2025-12-04T09:13:56.6793410Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-12-04T09:13:56.6795030Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file 2025-12-04T09:13:56.6796762Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-12-04T09:13:56.6798354Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file 2025-12-04T09:13:56.6799964Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-12-04T09:13:56.6801597Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file 2025-12-04T09:13:56.6803663Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-12-04T09:13:56.6805315Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file 2025-12-04T09:13:56.6807000Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2025-12-04T09:13:56.6808655Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file 2025-12-04T09:13:56.6810338Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-12-04T09:13:56.6812031Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file 2025-12-04T09:13:56.6813792Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-12-04T09:13:56.6815235Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file 2025-12-04T09:13:56.6816553Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-12-04T09:13:56.6817796Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file 2025-12-04T09:13:56.6819008Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2025-12-04T09:13:56.6820326Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file 2025-12-04T09:13:56.6821777Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0 2025-12-04T09:13:56.6823229Z * 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 2025-12-04T09:13:56.6824730Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-12-04T09:13:56.6826440Z * 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 2025-12-04T09:13:56.6827927Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-12-04T09:13:56.6829269Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file 2025-12-04T09:13:56.6830511Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2025-12-04T09:13:56.6831817Z * 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 2025-12-04T09:13:56.6833182Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0 2025-12-04T09:13:56.6834472Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file 2025-12-04T09:13:56.6835710Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0 2025-12-04T09:13:56.6836996Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file 2025-12-04T09:13:56.6838226Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1 2025-12-04T09:13:56.6839403Z * 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 2025-12-04T09:13:56.6840587Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0 2025-12-04T09:13:56.6841732Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file 2025-12-04T09:13:56.6842882Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0 2025-12-04T09:13:56.6844046Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file 2025-12-04T09:13:56.6845267Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0 2025-12-04T09:13:56.6846644Z * 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 2025-12-04T09:13:56.6848182Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0 2025-12-04T09:13:56.6849523Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0, line 659 <- wrt source file 2025-12-04T09:13:56.6850730Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0 2025-12-04T09:13:56.6852022Z * 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 2025-12-04T09:13:56.6853440Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-12-04T09:13:56.6854763Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file 2025-12-04T09:13:56.6877134Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0 2025-12-04T09:13:56.6878546Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-12-04T09:13:56.6880173Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0 2025-12-04T09:13:56.6881654Z * 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 2025-12-04T09:13:56.6883379Z * SKIPPED: 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194 <- wrt source file 2025-12-04T09:13:56.6902555Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0 2025-12-04T09:13:56.6904142Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file 2025-12-04T09:13:56.6905626Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0 2025-12-04T09:13:56.6907197Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 341 <- wrt source file 2025-12-04T09:13:56.6908889Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0 2025-12-04T09:13:56.6910689Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file 2025-12-04T09:13:56.6914416Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0 2025-12-04T09:13:56.6917677Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0, line 159 <- wrt source file 2025-12-04T09:13:56.6920293Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0 2025-12-04T09:13:56.6922577Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 316 <- wrt source file 2025-12-04T09:13:56.6924940Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0 2025-12-04T09:13:56.6927179Z * 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 2025-12-04T09:13:56.6943024Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-12-04T09:13:56.6945317Z * 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 2025-12-04T09:13:56.6949851Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-12-04T09:13:56.6952133Z * 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 2025-12-04T09:13:56.6976013Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-12-04T09:13:56.6978231Z * 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 2025-12-04T09:13:56.6983418Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-12-04T09:13:56.6985705Z * 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 2025-12-04T09:13:56.6991080Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-12-04T09:13:56.6993316Z * 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 2025-12-04T09:13:56.7000015Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-12-04T09:13:56.7002218Z * 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 2025-12-04T09:13:56.7017628Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-12-04T09:13:56.7020095Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file 2025-12-04T09:13:56.7032145Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-12-04T09:13:56.7034517Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file 2025-12-04T09:13:56.7044584Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0 2025-12-04T09:13:56.7046759Z * 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 2025-12-04T09:13:56.7053268Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-12-04T09:13:56.7055823Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file 2025-12-04T09:13:56.7062716Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0 2025-12-04T09:13:56.7065241Z * 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 2025-12-04T09:13:56.7068068Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-12-04T09:13:56.7070950Z * 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 2025-12-04T09:13:56.7074074Z * 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 2025-12-04T09:13:56.7092399Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file 2025-12-04T09:13:56.7095206Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2025-12-04T09:13:56.7097953Z * 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 2025-12-04T09:13:56.7100742Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2025-12-04T09:13:56.7103211Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file 2025-12-04T09:13:56.7105452Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2025-12-04T09:13:56.7107717Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file 2025-12-04T09:13:56.7110077Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2025-12-04T09:13:56.7112351Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file 2025-12-04T09:13:56.7114652Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2025-12-04T09:13:56.7117007Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file 2025-12-04T09:13:56.7119725Z * SKIPPED: 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2025-12-04T09:13:56.7132573Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file 2025-12-04T09:13:56.7134015Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2025-12-04T09:13:56.7135449Z * 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 2025-12-04T09:13:56.7742655Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-12-04T09:13:56.7745343Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-12-04T09:13:56.7752589Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-12-04T09:13:56.7754421Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file 2025-12-04T09:13:56.7755741Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-12-04T09:13:56.7757033Z * 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 2025-12-04T09:13:56.7758306Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0 2025-12-04T09:13:56.7759617Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file 2025-12-04T09:13:56.7761026Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2025-12-04T09:13:56.7762427Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file 2025-12-04T09:13:56.7763950Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-12-04T09:13:56.7765236Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file 2025-12-04T09:13:56.7766627Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-12-04T09:13:56.7767926Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file 2025-12-04T09:13:56.7771260Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-12-04T09:13:56.7772563Z * 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 2025-12-04T09:13:56.7775159Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-12-04T09:13:56.7776457Z * 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 2025-12-04T09:13:56.7781078Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-12-04T09:13:56.7782364Z * 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 2025-12-04T09:13:56.7787522Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-12-04T09:13:56.7788902Z * 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 2025-12-04T09:13:56.7791335Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-12-04T09:13:56.7792919Z * 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 2025-12-04T09:13:56.7794706Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-12-04T09:13:56.7796455Z * 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 2025-12-04T09:13:56.7798446Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-12-04T09:13:56.7800302Z * 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 2025-12-04T09:13:56.7801963Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-12-04T09:13:56.7803746Z * 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 2025-12-04T09:13:56.7805393Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:13:56.7806980Z * 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 2025-12-04T09:13:56.7831682Z * SKIPPED: 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source file 2025-12-04T09:13:56.7843547Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2025-12-04T09:13:56.7845288Z * 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 2025-12-04T09:13:56.7846922Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2025-12-04T09:13:56.7848486Z * 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 2025-12-04T09:13:56.7850088Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2025-12-04T09:13:56.7851657Z * 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 2025-12-04T09:13:56.7853500Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-12-04T09:13:56.7855460Z * 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 2025-12-04T09:13:56.7857373Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-12-04T09:13:56.7859409Z * 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 2025-12-04T09:13:56.7861918Z * SKIPPED: 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source file 2025-12-04T09:13:56.7872987Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-12-04T09:13:56.7874583Z * 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 2025-12-04T09:13:56.7876262Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-12-04T09:13:56.7878157Z * 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 2025-12-04T09:13:56.7879785Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-12-04T09:13:56.7881324Z * 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 2025-12-04T09:13:56.7882850Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-12-04T09:13:56.7884406Z * 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 2025-12-04T09:13:56.7886030Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:13:56.7887595Z * 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 2025-12-04T09:13:56.7889154Z * SKIPPED: 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file 2025-12-04T09:13:56.7898409Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-12-04T09:13:56.7899916Z * 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 2025-12-04T09:13:56.7901442Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-12-04T09:13:56.7903156Z * 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 2025-12-04T09:13:56.7904654Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-12-04T09:13:56.7906060Z * 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 2025-12-04T09:13:57.3797939Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-12-04T09:13:57.3800501Z * 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 2025-12-04T09:13:57.3802828Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-12-04T09:13:57.3805531Z * 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 2025-12-04T09:13:57.3808279Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-12-04T09:13:57.3810983Z * 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 2025-12-04T09:13:57.3813756Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-12-04T09:13:57.3816493Z * 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 2025-12-04T09:13:57.3818852Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-12-04T09:13:57.3820849Z * 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 2025-12-04T09:13:57.3822407Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-12-04T09:13:57.3823857Z * 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 2025-12-04T09:13:57.3825326Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-12-04T09:13:57.3826784Z * 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 2025-12-04T09:13:57.3828290Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-12-04T09:13:57.3829810Z * 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 2025-12-04T09:13:57.3831350Z * SKIPPED: 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2025-12-04T09:13:57.3843276Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-12-04T09:13:57.3845738Z * 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 2025-12-04T09:13:57.3848283Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-12-04T09:13:57.3851209Z * 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 2025-12-04T09:13:57.3853731Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-12-04T09:13:57.3856456Z * 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 2025-12-04T09:13:57.3858993Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-12-04T09:13:57.3861661Z * 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 2025-12-04T09:13:57.3863874Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-12-04T09:13:57.3865652Z * 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 2025-12-04T09:13:57.3867539Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-12-04T09:13:57.3869549Z * 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 2025-12-04T09:13:57.3871030Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-12-04T09:13:57.3871797Z ============ 2025-12-04T09:13:57.3872071Z Finished doctests 2025-12-04T09:13:57.3872300Z 378 / 894 passed 2025-12-04T09:13:57.3872540Z  2025-12-04T09:13:57.3872842Z === Found 17 parse-time warnings === 2025-12-04T09:13:57.3873248Z --- Parse Warning: 1 / 17 --- 2025-12-04T09:13:57.3874628Z /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. 2025-12-04T09:13:57.3875862Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.3876476Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:13:57.3876981Z 2025-12-04T09:13:57.3877321Z This function only works for a library with global namespace ("_"). 2025-12-04T09:13:57.3877745Z 2025-12-04T09:13:57.3877939Z Args: 2025-12-04T09:13:57.3878372Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:13:57.3878901Z to register a fallthrough. 2025-12-04T09:13:57.3879446Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:13:57.3880069Z the dispatch key that the library was created with. 2025-12-04T09:13:57.3880736Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:13:57.3881564Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:13:57.3882081Z 2025-12-04T09:13:57.3882289Z Example:: 2025-12-04T09:13:57.3882530Z 2025-12-04T09:13:57.3882747Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:13:57.3883254Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:13:57.3883644Z >>> # Handle all autocast ops generically 2025-12-04T09:13:57.3884098Z >>> # ... 2025-12-04T09:13:57.3884414Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:13:57.3884768Z 2025-12-04T09:13:57.3885534Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:13:57.3886352Z 2025-12-04T09:13:57.3886603Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:13:57.3886934Z ^ 2025-12-04T09:13:57.3887138Z warnings.warn(msg) 2025-12-04T09:13:57.3887388Z 2025-12-04T09:13:57.3887711Z --- Parse Warning: 2 / 17 --- 2025-12-04T09:13:57.3888788Z /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. 2025-12-04T09:13:57.3889998Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.3890602Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:13:57.3891040Z 2025-12-04T09:13:57.3891324Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:13:57.3891706Z 2025-12-04T09:13:57.3892067Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:13:57.3892660Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:13:57.3893231Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:13:57.3893738Z what the properties of the output Tensors are. 2025-12-04T09:13:57.3894082Z 2025-12-04T09:13:57.3894417Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:13:57.3894981Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:13:57.3895532Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:13:57.3896075Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:13:57.3896591Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:13:57.3897150Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:13:57.3897695Z (and may not directly access the storage or data of any input or 2025-12-04T09:13:57.3898099Z intermediate Tensors). 2025-12-04T09:13:57.3898370Z 2025-12-04T09:13:57.3898638Z This API may be used as a decorator (see examples). 2025-12-04T09:13:57.3898977Z 2025-12-04T09:13:57.3899231Z For a detailed guide on custom ops, please see 2025-12-04T09:13:57.3899730Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:13:57.3900168Z 2025-12-04T09:13:57.3900358Z Args: 2025-12-04T09:13:57.3900727Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:13:57.3901200Z func: Fake tensor implementation. 2025-12-04T09:13:57.3901629Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:13:57.3902135Z allow_override: Flag controlling if we want to override an 2025-12-04T09:13:57.3902620Z existing registered fake impl. This is by default off, 2025-12-04T09:13:57.3903294Z and will error you're trying to register a fake impl to 2025-12-04T09:13:57.3903774Z an operator that already has a fake impl. This also only 2025-12-04T09:13:57.3904238Z applies if the custom operator was not created via 2025-12-04T09:13:57.3904714Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:13:57.3905338Z impl is already allowed. 2025-12-04T09:13:57.3905657Z 2025-12-04T09:13:57.3905952Z Examples: 2025-12-04T09:13:57.3906183Z >>> import torch 2025-12-04T09:13:57.3906472Z >>> import numpy as np 2025-12-04T09:13:57.3906786Z >>> from torch import Tensor 2025-12-04T09:13:57.3907080Z >>> 2025-12-04T09:13:57.3907411Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:13:57.3907944Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:13:57.3908502Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:13:57.3909009Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:13:57.3909395Z >>> 2025-12-04T09:13:57.3909701Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:13:57.3910081Z >>> def _(x, weight, bias): 2025-12-04T09:13:57.3910394Z >>> assert x.dim() == 2 2025-12-04T09:13:57.3910720Z >>> assert weight.dim() == 2 2025-12-04T09:13:57.3911049Z >>> assert bias.dim() == 1 2025-12-04T09:13:57.3911383Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:13:57.3911758Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:13:57.3912129Z >>> assert x.device == weight.device 2025-12-04T09:13:57.3912436Z >>> 2025-12-04T09:13:57.3912684Z >>> return (x @ weight.t()) + bias 2025-12-04T09:13:57.3912996Z >>> 2025-12-04T09:13:57.3913292Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:13:57.3913688Z >>> x = torch.randn(2, 3) 2025-12-04T09:13:57.3914005Z >>> w = torch.randn(3, 3) 2025-12-04T09:13:57.3914442Z >>> b = torch.randn(3) 2025-12-04T09:13:57.3914888Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:13:57.3915276Z >>> 2025-12-04T09:13:57.3915528Z >>> assert y.shape == (2, 3) 2025-12-04T09:13:57.3915857Z >>> 2025-12-04T09:13:57.3916166Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:13:57.3916753Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:13:57.3917219Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:13:57.3917578Z >>> x_np = x.numpy(force=True) 2025-12-04T09:13:57.3917938Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:13:57.3918314Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:13:57.3918652Z >>> 2025-12-04T09:13:57.3918967Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:13:57.3919360Z >>> def _(x): 2025-12-04T09:13:57.3919671Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:13:57.3920094Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:13:57.3920525Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:13:57.3920921Z >>> # represents the data-dependent size. 2025-12-04T09:13:57.3921288Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:13:57.3921649Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:13:57.3921985Z >>> shape = [nnz, x.dim()] 2025-12-04T09:13:57.3922354Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:13:57.3922706Z >>> return result 2025-12-04T09:13:57.3922985Z >>> 2025-12-04T09:13:57.3923306Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:13:57.3923681Z >>> 2025-12-04T09:13:57.3923942Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:13:57.3924522Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:13:57.3925005Z >>> trace.print_readable() 2025-12-04T09:13:57.3925351Z >>> 2025-12-04T09:13:57.3925713Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:13:57.3926142Z 2025-12-04T09:13:57.3926328Z 2025-12-04T09:13:57.3926978Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:13:57.3927715Z 2025-12-04T09:13:57.3927901Z _._ = None 2025-12-04T09:13:57.3928120Z ^ 2025-12-04T09:13:57.3928339Z warnings.warn(msg) 2025-12-04T09:13:57.3928581Z 2025-12-04T09:13:57.3928937Z --- Parse Warning: 3 / 17 --- 2025-12-04T09:13:57.3930012Z /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. 2025-12-04T09:13:57.3931226Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.3931799Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:13:57.3932210Z 2025-12-04T09:13:57.3932548Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:13:57.3933114Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:13:57.3933664Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:13:57.3934192Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:13:57.3934747Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:13:57.3935246Z that calls into the original kernel for certain cases. 2025-12-04T09:13:57.3935612Z 2025-12-04T09:13:57.3935812Z Args: 2025-12-04T09:13:57.3936138Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:13:57.3936695Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:13:57.3937307Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:13:57.3937883Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:13:57.3938267Z 2025-12-04T09:13:57.3938469Z Returns: 2025-12-04T09:13:57.3938849Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:13:57.3939302Z call the kernel. 2025-12-04T09:13:57.3939571Z 2025-12-04T09:13:57.3939770Z Raises: 2025-12-04T09:13:57.3940041Z RuntimeError: If the operator does not exist. 2025-12-04T09:13:57.3940383Z 2025-12-04T09:13:57.3940583Z Example: 2025-12-04T09:13:57.3940831Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:13:57.3941268Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:13:57.3941669Z >>> 2025-12-04T09:13:57.3941932Z >>> # You can also use DispatchKey enum 2025-12-04T09:13:57.3942422Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:13:57.3942890Z >>> 2025-12-04T09:13:57.3943143Z >>> # Or use an OpOverload directly 2025-12-04T09:13:57.3943588Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:13:57.3944027Z >>> 2025-12-04T09:13:57.3944407Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:13:57.3945033Z >>> # Get the original kernel for torch.sin 2025-12-04T09:13:57.3945534Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:13:57.3945965Z >>> 2025-12-04T09:13:57.3946432Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:13:57.3946971Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:13:57.3947329Z >>> if (x < 0).any(): 2025-12-04T09:13:57.3947758Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:13:57.3948254Z >>> else: 2025-12-04T09:13:57.3948537Z >>> return torch.zeros_like(x) 2025-12-04T09:13:57.3948887Z >>> 2025-12-04T09:13:57.3949162Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:13:57.3949667Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:13:57.3950238Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:13:57.3950739Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:13:57.3951123Z >>> 2025-12-04T09:13:57.3951382Z >>> # Test the conditional behavior 2025-12-04T09:13:57.3951739Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:13:57.3952086Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:13:57.3952429Z >>> torch.sin(x_positive) 2025-12-04T09:13:57.3952734Z tensor([0., 0.]) 2025-12-04T09:13:57.3953014Z >>> torch.sin(x_mixed) 2025-12-04T09:13:57.3953296Z tensor([-0.8415, 0.9093]) 2025-12-04T09:13:57.3953580Z 2025-12-04T09:13:57.3954187Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:13:57.3954855Z 2025-12-04T09:13:57.3955155Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:13:57.3955545Z ^ 2025-12-04T09:13:57.3955755Z warnings.warn(msg) 2025-12-04T09:13:57.3956010Z 2025-12-04T09:13:57.3956354Z --- Parse Warning: 4 / 17 --- 2025-12-04T09:13:57.3957567Z /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. 2025-12-04T09:13:57.3958838Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.3959460Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:13:57.3960053Z required drivers are available and at least one device is visible. 2025-12-04T09:13:57.3960623Z See :ref:`accelerator` for details. 2025-12-04T09:13:57.3960972Z 2025-12-04T09:13:57.3961175Z Returns: 2025-12-04T09:13:57.3961585Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:13:57.3962072Z 2025-12-04T09:13:57.3962438Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:13:57.3963074Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:13:57.3963708Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:13:57.3964232Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:13:57.3964576Z 2025-12-04T09:13:57.3964770Z Example:: 2025-12-04T09:13:57.3965003Z 2025-12-04T09:13:57.3965397Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:13:57.3965873Z 2025-12-04T09:13:57.3966548Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:13:57.3967309Z 2025-12-04T09:13:57.3967689Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:13:57.3968164Z ^ 2025-12-04T09:13:57.3968578Z warnings.warn(msg) 2025-12-04T09:13:57.3968835Z 2025-12-04T09:13:57.3969213Z --- Parse Warning: 5 / 17 --- 2025-12-04T09:13:57.3970363Z /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. 2025-12-04T09:13:57.3971638Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.3972217Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:13:57.3972615Z 2025-12-04T09:13:57.3972814Z Args: 2025-12-04T09:13:57.3973267Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:13:57.3973922Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:13:57.3974474Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:13:57.3974876Z 2025-12-04T09:13:57.3975307Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:13:57.3975804Z 2025-12-04T09:13:57.3976006Z Example:: 2025-12-04T09:13:57.3976229Z 2025-12-04T09:13:57.3976469Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:13:57.3976993Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:13:57.3977528Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:13:57.3977928Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:13:57.3978272Z >>> start_event.record() 2025-12-04T09:13:57.3978721Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:13:57.3979193Z >>> sum = torch.sum(tensor) 2025-12-04T09:13:57.3979500Z >>> end_event.record() 2025-12-04T09:13:57.3979826Z >>> torch.accelerator.synchronize() 2025-12-04T09:13:57.3980242Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:13:57.3980603Z 2025-12-04T09:13:57.3981282Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:13:57.3982040Z 2025-12-04T09:13:57.3982411Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:13:57.3982883Z ^ 2025-12-04T09:13:57.3983191Z warnings.warn(msg) 2025-12-04T09:13:57.3983441Z 2025-12-04T09:13:57.3983728Z --- Parse Warning: 6 / 17 --- 2025-12-04T09:13:57.3984809Z /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. 2025-12-04T09:13:57.3986025Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.3986521Z Retrieves the CUDA runtime API module. 2025-12-04T09:13:57.3986820Z 2025-12-04T09:13:57.3987020Z 2025-12-04T09:13:57.3987388Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:13:57.3987983Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:13:57.3988558Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:13:57.3988984Z 2025-12-04T09:13:57.3989169Z Args: 2025-12-04T09:13:57.3989386Z ``None`` 2025-12-04T09:13:57.3989613Z 2025-12-04T09:13:57.3989799Z Returns: 2025-12-04T09:13:57.3990080Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:13:57.3990422Z 2025-12-04T09:13:57.3990609Z Raises: 2025-12-04T09:13:57.3991052Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:13:57.3991828Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:13:57.3992390Z 2025-12-04T09:13:57.3992628Z Example of CUDA operations with profiling: 2025-12-04T09:13:57.3992975Z >>> import torch 2025-12-04T09:13:57.3993294Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:13:57.3993628Z >>> import os 2025-12-04T09:13:57.3993878Z >>> 2025-12-04T09:13:57.3994128Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:13:57.3994430Z >>> 2025-12-04T09:13:57.3994703Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:13:57.3995075Z >>> stream = torch.cuda.Stream() 2025-12-04T09:13:57.3995427Z >>> with torch.cuda.stream(stream): 2025-12-04T09:13:57.3995779Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:13:57.3996153Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:13:57.3996507Z >>> z = torch.mul(x, y) 2025-12-04T09:13:57.3996887Z >>> return z 2025-12-04T09:13:57.3997145Z >>> 2025-12-04T09:13:57.3997396Z >>> torch.cuda.synchronize() 2025-12-04T09:13:57.3997740Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:13:57.3998136Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:13:57.3998533Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:13:57.3998936Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:13:57.3999337Z >>> print("CUDA operations completed.") 2025-12-04T09:13:57.3999745Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:13:57.4000158Z >>> print("====== End nsys profiling ======") 2025-12-04T09:13:57.4000475Z 2025-12-04T09:13:57.4000788Z To run this example and save the profiling information, execute: 2025-12-04T09:13:57.4001475Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:13:57.4002025Z 2025-12-04T09:13:57.4002386Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:13:57.4003166Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:13:57.4003720Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:13:57.4004219Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:13:57.4004716Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:13:57.4005202Z CSV file and print a summary, respectively. 2025-12-04T09:13:57.4005697Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:13:57.4006229Z overwrite of the output file if it already exists. 2025-12-04T09:13:57.4006587Z 2025-12-04T09:13:57.4007376Z 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)) 2025-12-04T09:13:57.4008218Z 2025-12-04T09:13:57.4008693Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:13:57.4009254Z ^ 2025-12-04T09:13:57.4009463Z warnings.warn(msg) 2025-12-04T09:13:57.4009728Z 2025-12-04T09:13:57.4010059Z --- Parse Warning: 7 / 17 --- 2025-12-04T09:13:57.4011131Z /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. 2025-12-04T09:13:57.4012334Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.4012921Z 2025-12-04T09:13:57.4013332Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:13:57.4013860Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:13:57.4014397Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:13:57.4014850Z vectorizing those operations. 2025-12-04T09:13:57.4015124Z 2025-12-04T09:13:57.4015454Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:13:57.4016026Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:13:57.4016786Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:13:57.4017503Z compute batched gradients when composed with autograd. 2025-12-04T09:13:57.4017942Z 2025-12-04T09:13:57.4018214Z .. note:: 2025-12-04T09:13:57.4018631Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:13:57.4019240Z convenience. Use whichever one you'd like. 2025-12-04T09:13:57.4019746Z 2025-12-04T09:13:57.4020006Z Args: 2025-12-04T09:13:57.4020528Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:13:57.4021309Z Must return one or more Tensors. 2025-12-04T09:13:57.4022003Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:13:57.4022686Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:13:57.4023337Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:13:57.4023986Z input is None, then that indicates there is no map dimension. 2025-12-04T09:13:57.4024374Z Default: 0. 2025-12-04T09:13:57.4024736Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:13:57.4025258Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:13:57.4025725Z it should have one element per output. Default: 0. 2025-12-04T09:13:57.4026191Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:13:57.4026704Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:13:57.4027242Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:13:57.4027771Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:13:57.4028322Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:13:57.4028861Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:13:57.4029329Z Python's random module or numpy randomness. 2025-12-04T09:13:57.4029801Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:13:57.4030374Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:13:57.4030991Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:13:57.4031631Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:13:57.4032102Z 2025-12-04T09:13:57.4032304Z Returns: 2025-12-04T09:13:57.4032614Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:13:57.4033106Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:13:57.4033601Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:13:57.4034093Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:13:57.4034490Z specified by ``out_dims``. 2025-12-04T09:13:57.4034775Z 2025-12-04T09:13:57.4034974Z .. warning: 2025-12-04T09:13:57.4035298Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:13:57.4035937Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:13:57.4036543Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:13:57.4037224Z Python data structures and assigning values to variables not captured 2025-12-04T09:13:57.4037650Z in ``func``. 2025-12-04T09:13:57.4037885Z 2025-12-04T09:13:57.4038238Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:13:57.4038804Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:13:57.4039363Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:13:57.4039784Z 2025-12-04T09:13:57.4039995Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:13:57.4040413Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:13:57.4040869Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:13:57.4041204Z >>> batched_dot(x, y) 2025-12-04T09:13:57.4041468Z 2025-12-04T09:13:57.4041811Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:13:57.4042272Z model authoring experience. 2025-12-04T09:13:57.4042541Z 2025-12-04T09:13:57.4042767Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:13:57.4043166Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:13:57.4043529Z >>> 2025-12-04T09:13:57.4043757Z >>> def model(feature_vec): 2025-12-04T09:13:57.4044092Z >>> # Very simple linear model with activation 2025-12-04T09:13:57.4044455Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:13:57.4044783Z >>> 2025-12-04T09:13:57.4045059Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:13:57.4056714Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:13:57.4057145Z 2025-12-04T09:13:57.4057525Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:13:57.4058165Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:13:57.4058756Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:13:57.4059349Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:13:57.4059958Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:13:57.4060571Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:13:57.4061027Z call to ``autograd.grad``. 2025-12-04T09:13:57.4061301Z 2025-12-04T09:13:57.4061505Z >>> # Setup 2025-12-04T09:13:57.4061723Z >>> N = 5 2025-12-04T09:13:57.4061958Z >>> f = lambda x: x**2 2025-12-04T09:13:57.4062263Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:13:57.4062579Z >>> y = f(x) 2025-12-04T09:13:57.4062826Z >>> I_N = torch.eye(N) 2025-12-04T09:13:57.4063094Z >>> 2025-12-04T09:13:57.4063312Z >>> # Sequential approach 2025-12-04T09:13:57.4063733Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:13:57.4064191Z >>> for v in I_N.unbind()] 2025-12-04T09:13:57.4064545Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:13:57.4064857Z >>> 2025-12-04T09:13:57.4065100Z >>> # vectorized gradient computation 2025-12-04T09:13:57.4065430Z >>> def get_vjp(v): 2025-12-04T09:13:57.4065721Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:13:57.4066083Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:13:57.4066401Z 2025-12-04T09:13:57.4066768Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:13:57.4067237Z 2025-12-04T09:13:57.4067455Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:13:57.4067761Z >>> batched_dot = torch.vmap( 2025-12-04T09:13:57.4068234Z ... torch.vmap(torch.dot) 2025-12-04T09:13:57.4068566Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:13:57.4069021Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:13:57.4069395Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:13:57.4069723Z 2025-12-04T09:13:57.4070083Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:13:57.4070591Z the dimension that each inputs are batched along as 2025-12-04T09:13:57.4070944Z 2025-12-04T09:13:57.4071164Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:13:57.4071588Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:13:57.4072058Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:13:57.4072389Z >>> batched_dot( 2025-12-04T09:13:57.4072627Z ... x, y 2025-12-04T09:13:57.4072966Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:13:57.4073361Z 2025-12-04T09:13:57.4073737Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:13:57.4074316Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:13:57.4074718Z 2025-12-04T09:13:57.4074939Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:13:57.4075380Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:13:57.4075864Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:13:57.4076201Z >>> batched_dot( 2025-12-04T09:13:57.4076441Z ... x, y 2025-12-04T09:13:57.4076886Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:13:57.4077288Z 2025-12-04T09:13:57.4077638Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:13:57.4078103Z matching the shape of the input: 2025-12-04T09:13:57.4078406Z 2025-12-04T09:13:57.4078661Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:13:57.4079037Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:13:57.4079377Z >>> input = {"x": x, "y": y} 2025-12-04T09:13:57.4079757Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:13:57.4080145Z >>> batched_dot(input) 2025-12-04T09:13:57.4080412Z 2025-12-04T09:13:57.4080802Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:13:57.4081319Z along any dimension by using ``out_dims`` 2025-12-04T09:13:57.4081639Z 2025-12-04T09:13:57.4081852Z >>> f = lambda x: x**2 2025-12-04T09:13:57.4082140Z >>> x = torch.randn(2, 5) 2025-12-04T09:13:57.4082452Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:13:57.4082795Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:13:57.4083074Z 2025-12-04T09:13:57.4083469Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:13:57.4083976Z accept kwargs 2025-12-04T09:13:57.4084208Z 2025-12-04T09:13:57.4084408Z >>> x = torch.randn([2, 5]) 2025-12-04T09:13:57.4084707Z >>> def fn(x, scale=4.): 2025-12-04T09:13:57.4084996Z >>> return x * scale 2025-12-04T09:13:57.4085246Z >>> 2025-12-04T09:13:57.4085486Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:13:57.4085848Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:13:57.4086333Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:13:57.4086755Z 2025-12-04T09:13:57.4086967Z .. note:: 2025-12-04T09:13:57.4087321Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:13:57.4087758Z sequences out of the box. 2025-12-04T09:13:57.4088039Z 2025-12-04T09:13:57.4088678Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:13:57.4089470Z 2025-12-04T09:13:57.4089724Z _._ = None 2025-12-04T09:13:57.4089940Z ^ 2025-12-04T09:13:57.4090140Z warnings.warn(msg) 2025-12-04T09:13:57.4090391Z 2025-12-04T09:13:57.4090756Z --- Parse Warning: 8 / 17 --- 2025-12-04T09:13:57.4091830Z /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. 2025-12-04T09:13:57.4093029Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.4093640Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:13:57.4094199Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:13:57.4094621Z compute higher-order gradients. 2025-12-04T09:13:57.4094931Z 2025-12-04T09:13:57.4095132Z Args: 2025-12-04T09:13:57.4095469Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:13:57.4096067Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:13:57.4096719Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:13:57.4097214Z ``(output, aux)``. 2025-12-04T09:13:57.4097678Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:13:57.4098277Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:13:57.4098825Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:13:57.4099332Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:13:57.4099685Z 2025-12-04T09:13:57.4099889Z Returns: 2025-12-04T09:13:57.4100317Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:13:57.4100952Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:13:57.4101583Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:13:57.4102230Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:13:57.4102957Z respect to each ``argnums`` value is returned. 2025-12-04T09:13:57.4103296Z 2025-12-04T09:13:57.4103520Z Example of using ``grad``: 2025-12-04T09:13:57.4103801Z 2025-12-04T09:13:57.4104005Z >>> # xdoctest: +SKIP 2025-12-04T09:13:57.4104316Z >>> from torch.func import grad 2025-12-04T09:13:57.4104642Z >>> x = torch.randn([]) 2025-12-04T09:13:57.4104957Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:13:57.4105333Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:13:57.4105656Z >>> 2025-12-04T09:13:57.4105892Z >>> # Second-order gradients 2025-12-04T09:13:57.4106257Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:13:57.4106662Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:13:57.4106986Z 2025-12-04T09:13:57.4107351Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:13:57.4107806Z 2025-12-04T09:13:57.4108017Z >>> # xdoctest: +SKIP 2025-12-04T09:13:57.4108323Z >>> from torch.func import grad, vmap 2025-12-04T09:13:57.4108676Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:13:57.4108986Z >>> 2025-12-04T09:13:57.4109225Z >>> def model(weights, feature_vec): 2025-12-04T09:13:57.4109587Z >>> # Very simple linear model with activation 2025-12-04T09:13:57.4110095Z >>> assert feature_vec.dim() == 1 2025-12-04T09:13:57.4110439Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:13:57.4110854Z >>> 2025-12-04T09:13:57.4111128Z >>> def compute_loss(weights, example, target): 2025-12-04T09:13:57.4111497Z >>> y = model(weights, example) 2025-12-04T09:13:57.4111850Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:13:57.4112187Z >>> 2025-12-04T09:13:57.4112503Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:13:57.4112943Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:13:57.4113328Z >>> targets = torch.randn(batch_size) 2025-12-04T09:13:57.4113688Z >>> inputs = (weights, examples, targets) 2025-12-04T09:13:57.4114147Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:13:57.4114590Z ... *inputs 2025-12-04T09:13:57.4114851Z ... ) 2025-12-04T09:13:57.4115060Z 2025-12-04T09:13:57.4115353Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:13:57.4115728Z 2025-12-04T09:13:57.4115942Z >>> # xdoctest: +SKIP 2025-12-04T09:13:57.4116239Z >>> from torch.func import grad 2025-12-04T09:13:57.4116665Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:13:57.4117024Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:13:57.4117379Z >>> loss = loss_per_sample.mean() 2025-12-04T09:13:57.4117749Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:13:57.4118087Z >>> 2025-12-04T09:13:57.4118367Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:13:57.4118747Z >>> y_true = torch.rand(4) 2025-12-04T09:13:57.4119095Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:13:57.4119454Z >>> out = fn(y_true, y_preds) 2025-12-04T09:13:57.4119908Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:13:57.4120357Z 2025-12-04T09:13:57.4120563Z .. note:: 2025-12-04T09:13:57.4120863Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:13:57.4121233Z 2025-12-04T09:13:57.4121495Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:13:57.4121826Z 2025-12-04T09:13:57.4122039Z >>> # xdoctest: +SKIP 2025-12-04T09:13:57.4122345Z >>> def f(x): 2025-12-04T09:13:57.4122635Z >>> with torch.no_grad(): 2025-12-04T09:13:57.4122940Z >>> c = x ** 2 2025-12-04T09:13:57.4123243Z >>> return x - c 2025-12-04T09:13:57.4123527Z 2025-12-04T09:13:57.4123829Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:13:57.4124235Z 2025-12-04T09:13:57.4124541Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:13:57.4124920Z 2025-12-04T09:13:57.4125145Z >>> # xdoctest: +SKIP 2025-12-04T09:13:57.4125461Z >>> with torch.no_grad(): 2025-12-04T09:13:57.4125758Z >>> grad(f)(x) 2025-12-04T09:13:57.4126038Z 2025-12-04T09:13:57.4126370Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:13:57.4126935Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:13:57.4127488Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:13:57.4127910Z 2025-12-04T09:13:57.4128103Z 2025-12-04T09:13:57.4128731Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:13:57.4129453Z 2025-12-04T09:13:57.4129732Z _._ = None 2025-12-04T09:13:57.4129935Z ^ 2025-12-04T09:13:57.4130152Z warnings.warn(msg) 2025-12-04T09:13:57.4130410Z 2025-12-04T09:13:57.4130794Z --- Parse Warning: 9 / 17 --- 2025-12-04T09:13:57.4132011Z /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. 2025-12-04T09:13:57.4133348Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.4133901Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:13:57.4134268Z 2025-12-04T09:13:57.4134632Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:13:57.4135088Z 2025-12-04T09:13:57.4135416Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:13:57.4135993Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:13:57.4136502Z Given some input Tensors with certain properties 2025-12-04T09:13:57.4137031Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:13:57.4137508Z the output Tensors are. 2025-12-04T09:13:57.4137794Z 2025-12-04T09:13:57.4138115Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:13:57.4138518Z 2025-12-04T09:13:57.4138720Z Args: 2025-12-04T09:13:57.4139038Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:13:57.4139424Z implementation. 2025-12-04T09:13:57.4139708Z 2025-12-04T09:13:57.4139909Z Examples: 2025-12-04T09:13:57.4140166Z >>> import torch 2025-12-04T09:13:57.4140448Z >>> import numpy as np 2025-12-04T09:13:57.4140770Z >>> from torch import Tensor 2025-12-04T09:13:57.4141078Z >>> 2025-12-04T09:13:57.4141398Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:13:57.4141904Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:13:57.4142405Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:13:57.4142831Z >>> return (x @ weight.t()) + bias 2025-12-04T09:13:57.4143150Z >>> 2025-12-04T09:13:57.4143400Z >>> @linear.register_fake 2025-12-04T09:13:57.4143724Z >>> def _(x, weight, bias): 2025-12-04T09:13:57.4144031Z >>> assert x.dim() == 2 2025-12-04T09:13:57.4144363Z >>> assert weight.dim() == 2 2025-12-04T09:13:57.4144701Z >>> assert bias.dim() == 1 2025-12-04T09:13:57.4145042Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:13:57.4145419Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:13:57.4145798Z >>> assert x.device == weight.device 2025-12-04T09:13:57.4146173Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:13:57.4146523Z >>> 2025-12-04T09:13:57.4146769Z >>> x = torch.randn(2, 2) 2025-12-04T09:13:57.4147098Z >>> weight = torch.randn(2, 2) 2025-12-04T09:13:57.4147413Z >>> bias = torch.randn(2) 2025-12-04T09:13:57.4147766Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:13:57.4148217Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:13:57.4148661Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:13:57.4149165Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:13:57.4149623Z >>> 2025-12-04T09:13:57.4149934Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:13:57.4150516Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:13:57.4151006Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:13:57.4151355Z >>> x_np = x.cpu().numpy() 2025-12-04T09:13:57.4151700Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:13:57.4152093Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:13:57.4152434Z >>> 2025-12-04T09:13:57.4152674Z >>> @nonzero.register_fake 2025-12-04T09:13:57.4152985Z >>> def _(x): 2025-12-04T09:13:57.4153315Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:13:57.4153751Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:13:57.4154185Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:13:57.4154598Z >>> # represents the data-dependent size. 2025-12-04T09:13:57.4154969Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:13:57.4155321Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:13:57.4155668Z >>> shape = [nnz, x.dim()] 2025-12-04T09:13:57.4156043Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:13:57.4156406Z >>> return result 2025-12-04T09:13:57.4156779Z >>> 2025-12-04T09:13:57.4157045Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:13:57.4157429Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:13:57.4157828Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:13:57.4158239Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:13:57.4158632Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:13:57.4158951Z 2025-12-04T09:13:57.4159153Z 2025-12-04T09:13:57.4159822Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:13:57.4160542Z 2025-12-04T09:13:57.4160742Z _._ = None 2025-12-04T09:13:57.4160961Z ^ 2025-12-04T09:13:57.4161161Z warnings.warn(msg) 2025-12-04T09:13:57.4161412Z 2025-12-04T09:13:57.4161744Z --- Parse Warning: 10 / 17 --- 2025-12-04T09:13:57.4162961Z /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. 2025-12-04T09:13:57.4164302Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:13:57.4164773Z 2025-12-04T09:13:57.4165119Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:13:57.4165713Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:13:57.4166159Z 2025-12-04T09:13:57.4166492Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:13:57.4167064Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:13:57.4167607Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:13:57.4168167Z information we will match a given input to the recorded profile, and return 2025-12-04T09:13:57.4168755Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:13:57.4169232Z doesn't exist then an exception will be thrown. 2025-12-04T09:13:57.4169572Z 2025-12-04T09:13:57.4169916Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:13:57.4170499Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:13:57.4171096Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:13:57.4171807Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:13:57.4172487Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:13:57.4173066Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:13:57.4173637Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:13:57.4174077Z potentially unsafe. 2025-12-04T09:13:57.4174329Z 2025-12-04T09:13:57.4174514Z Args: 2025-12-04T09:13:57.4174858Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:13:57.4175402Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:13:57.4175796Z kernels. 2025-12-04T09:13:57.4176029Z 2025-12-04T09:13:57.4176231Z Examples: 2025-12-04T09:13:57.4176436Z 2025-12-04T09:13:57.4176729Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:13:57.4177113Z >>> import torch 2025-12-04T09:13:57.4177441Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:13:57.4177806Z >>> 2025-12-04T09:13:57.4178114Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:13:57.4178540Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:13:57.4178865Z >>> return x + y 2025-12-04T09:13:57.4179126Z >>> 2025-12-04T09:13:57.4179360Z >>> class M(torch.nn.Module): 2025-12-04T09:13:57.4179667Z >>> def forward(self, a, b): 2025-12-04T09:13:57.4180029Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:13:57.4180388Z >>> return res 2025-12-04T09:13:57.4180640Z >>> 2025-12-04T09:13:57.4180938Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:13:57.4181313Z >>> 2025-12-04T09:13:57.4181727Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:13:57.4182276Z >>> decomp = ep.run_decompositions() 2025-12-04T09:13:57.4182596Z 2025-12-04T09:13:57.4182782Z 2025-12-04T09:13:57.4183373Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:13:57.4184050Z 2025-12-04T09:13:57.4184263Z warnings.warn(msg) 2025-12-04T09:13:57.4184502Z 2025-12-04T09:13:57.4184813Z --- Parse Warning: 11 / 17 --- 2025-12-04T09:13:57.4186254Z /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. 2025-12-04T09:13:57.4187812Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.4188256Z 2025-12-04T09:13:57.4188638Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:13:57.4189253Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:13:57.4189846Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:13:57.4190309Z input by the user. 2025-12-04T09:13:57.4190696Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:13:57.4191191Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:13:57.4191542Z 2025-12-04T09:13:57.4191745Z Note:: 2025-12-04T09:13:57.4192194Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:13:57.4192709Z 2025-12-04T09:13:57.4192909Z Args: 2025-12-04T09:13:57.4193127Z model (nn.Module): 2025-12-04T09:13:57.4193519Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:13:57.4194182Z sparsified should be added separately using the register_layer() function 2025-12-04T09:13:57.4194719Z aggregate_fn (Optional, Callable): 2025-12-04T09:13:57.4195195Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:13:57.4195745Z specifies how inputs should be aggregated over time. 2025-12-04T09:13:57.4196316Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:13:57.4196900Z Example 2025-12-04T09:13:57.4197212Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:13:57.4197636Z reduce_fn (Optional, Callable): 2025-12-04T09:13:57.4198120Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:13:57.4198734Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:13:57.4199242Z calling agg_fn() on all inputs. 2025-12-04T09:13:57.4199574Z Example 2025-12-04T09:13:57.4199946Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:13:57.4200372Z mask_fn (Optional, Callable): 2025-12-04T09:13:57.4200912Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:13:57.4201596Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:13:57.4202076Z register_layer(). 2025-12-04T09:13:57.4202624Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:13:57.4203373Z arguments. 2025-12-04T09:13:57.4203672Z features (Optional, list): 2025-12-04T09:13:57.4204021Z default selected features to sparsify. 2025-12-04T09:13:57.4204540Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:13:57.4205026Z For example, 2025-12-04T09:13:57.4205457Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:13:57.4205951Z feature_dim (Optional, int): 2025-12-04T09:13:57.4206455Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:13:57.4206963Z for sparsification. 2025-12-04T09:13:57.4207273Z sparse_config (Dict): 2025-12-04T09:13:57.4207701Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:13:57.4208144Z with the mask_fn() 2025-12-04T09:13:57.4208420Z 2025-12-04T09:13:57.4208619Z Example: 2025-12-04T09:13:57.4208845Z >>> # xdoctest: +SKIP 2025-12-04T09:13:57.4209123Z >>> model = SomeModel() 2025-12-04T09:13:57.4209555Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:13:57.4210032Z >>> # Initialize aggregate_fn 2025-12-04T09:13:57.4210335Z >>> def agg_fn(x, y): 2025-12-04T09:13:57.4210594Z >>> return x + y 2025-12-04T09:13:57.4210852Z >>> 2025-12-04T09:13:57.4211076Z >>> # Initialize reduce_fn 2025-12-04T09:13:57.4211355Z >>> def reduce_fn(x): 2025-12-04T09:13:57.4211644Z >>> return torch.mean(x, dim=0) 2025-12-04T09:13:57.4211941Z >>> 2025-12-04T09:13:57.4212146Z >>> # Initialize mask_fn 2025-12-04T09:13:57.4212428Z >>> def mask_fn(data): 2025-12-04T09:13:57.4212746Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:13:57.4213073Z >>> 2025-12-04T09:13:57.4213268Z >>> 2025-12-04T09:13:57.4213494Z >>> act_sparsifier.register_layer( 2025-12-04T09:13:57.4213941Z ... model.some_layer, 2025-12-04T09:13:57.4214229Z ... aggregate_fn=agg_fn, 2025-12-04T09:13:57.4214596Z ... reduce_fn=reduce_fn, 2025-12-04T09:13:57.4214886Z ... mask_fn=mask_fn, 2025-12-04T09:13:57.4215140Z ... ) 2025-12-04T09:13:57.4215343Z >>> 2025-12-04T09:13:57.4215563Z >>> # start training process 2025-12-04T09:13:57.4215844Z >>> for _ in [...]: 2025-12-04T09:13:57.4216104Z >>> # epoch starts 2025-12-04T09:13:57.4216440Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:13:57.4216809Z >>> # epoch ends 2025-12-04T09:13:57.4217078Z >>> act_sparsifier.step() 2025-12-04T09:13:57.4217386Z >>> # end training process 2025-12-04T09:13:57.4217679Z >>> sparsifier.squash_mask() 2025-12-04T09:13:57.4217967Z 2025-12-04T09:13:57.4218581Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:13:57.4219272Z 2025-12-04T09:13:57.4219465Z _._ = None 2025-12-04T09:13:57.4219677Z ^ 2025-12-04T09:13:57.4219874Z warnings.warn(msg) 2025-12-04T09:13:57.4220121Z 2025-12-04T09:13:57.4220452Z --- Parse Warning: 12 / 17 --- 2025-12-04T09:13:57.4221656Z /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. 2025-12-04T09:13:57.4222969Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.4223418Z 2025-12-04T09:13:57.4223804Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:13:57.4224467Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:13:57.4224939Z ``mesh_dim_names`` 2025-12-04T09:13:57.4225180Z 2025-12-04T09:13:57.4225374Z Args: 2025-12-04T09:13:57.4225719Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:13:57.4226259Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:13:57.4226641Z Returns: 2025-12-04T09:13:57.4226861Z A :class:`DeviceMesh` object 2025-12-04T09:13:57.4227148Z 2025-12-04T09:13:57.4227540Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:13:57.4228029Z In the first example: 2025-12-04T09:13:57.4228453Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:13:57.4229072Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:13:57.4229661Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:13:57.4230223Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:13:57.4230795Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:13:57.4231355Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:13:57.4231766Z 2025-12-04T09:13:57.4231980Z In the second example: 2025-12-04T09:13:57.4232420Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:13:57.4233071Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:13:57.4233707Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:13:57.4234350Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:13:57.4234810Z 2025-12-04T09:13:57.4235138Z Example:: 2025-12-04T09:13:57.4235350Z 2025-12-04T09:13:57.4235563Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:13:57.4236000Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:13:57.4236362Z >>> 2025-12-04T09:13:57.4236782Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:13:57.4237253Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:13:57.4237756Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:13:57.4238238Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:13:57.4238552Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:13:57.4238829Z >>> 2025-12-04T09:13:57.4239059Z >>> # Initialize a 3D mesh. 2025-12-04T09:13:57.4239542Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:13:57.4240249Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:13:57.4240784Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:13:57.4241125Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:13:57.4241429Z 2025-12-04T09:13:57.4242215Z 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)) 2025-12-04T09:13:57.4243096Z 2025-12-04T09:13:57.4243461Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:13:57.4243956Z ^ 2025-12-04T09:13:57.4244292Z warnings.warn(msg) 2025-12-04T09:13:57.4244550Z 2025-12-04T09:13:57.4244868Z --- Parse Warning: 13 / 17 --- 2025-12-04T09:13:57.4246068Z /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. 2025-12-04T09:13:57.4247412Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.4247866Z 2025-12-04T09:13:57.4248273Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:13:57.4248759Z 2025-12-04T09:13:57.4249168Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:13:57.4249675Z 2025-12-04T09:13:57.4250055Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:13:57.4250574Z will be visible to the whole process. 2025-12-04T09:13:57.4250878Z 2025-12-04T09:13:57.4251258Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:13:57.4251736Z 2025-12-04T09:13:57.4251971Z 1) set_up_planner - called on all ranks. 2025-12-04T09:13:57.4252326Z Signals the start of a checkpoint save. 2025-12-04T09:13:57.4252643Z 2025-12-04T09:13:57.4252884Z 2) create_local_plan - called on all ranks. 2025-12-04T09:13:57.4253410Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:13:57.4253885Z 2025-12-04T09:13:57.4254184Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:13:57.4254686Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:13:57.4255076Z 2025-12-04T09:13:57.4255302Z 4) finish_plan - called on all ranks. 2025-12-04T09:13:57.4255746Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:13:57.4256153Z 2025-12-04T09:13:57.4256425Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:13:57.4256895Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:13:57.4257378Z 2025-12-04T09:13:57.4257787Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:13:57.4258455Z most changes can be expressed by changes in a single method. 2025-12-04T09:13:57.4258842Z 2025-12-04T09:13:57.4259068Z There are 3 usual patterns of extension: 2025-12-04T09:13:57.4259380Z 2025-12-04T09:13:57.4259753Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:13:57.4260356Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:13:57.4260792Z 2025-12-04T09:13:57.4261022Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:13:57.4261374Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:13:57.4261728Z >>> def set_up_planner( 2025-12-04T09:13:57.4262014Z >>> self, 2025-12-04T09:13:57.4262278Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:13:57.4262618Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:13:57.4262975Z >>> is_coordinator: bool, 2025-12-04T09:13:57.4263271Z >>> ) -> None: 2025-12-04T09:13:57.4263528Z >>> # prefix all keys with `foo_`` 2025-12-04T09:13:57.4264032Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:13:57.4264522Z 2025-12-04T09:13:57.4264960Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:13:57.4265494Z 2025-12-04T09:13:57.4265723Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:13:57.4266081Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:13:57.4266420Z >>> def create_local_plan(self): 2025-12-04T09:13:57.4266761Z >>> plan = super().create_local_plan() 2025-12-04T09:13:57.4267096Z >>> for p in plan: 2025-12-04T09:13:57.4267384Z >>> if p.tensor_data is not None: 2025-12-04T09:13:57.4267783Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:13:57.4268194Z >>> return plan 2025-12-04T09:13:57.4268517Z >>> 2025-12-04T09:13:57.4268871Z >>> def resolve_data(self, write_item): 2025-12-04T09:13:57.4269292Z >>> item = super().resolve_data(write_item) 2025-12-04T09:13:57.4269799Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:13:57.4270274Z 2025-12-04T09:13:57.4270732Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:13:57.4271279Z 2025-12-04T09:13:57.4271496Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:13:57.4271838Z >>> from itertools import zip_longest 2025-12-04T09:13:57.4272176Z >>> from dataclasses import replace 2025-12-04T09:13:57.4272555Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:13:57.4273120Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:13:57.4273660Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:13:57.4274033Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:13:57.4274432Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:13:57.4274802Z >>> items_per_rank = [ 2025-12-04T09:13:57.4275140Z >>> [item for item in items if item is not None] 2025-12-04T09:13:57.4275542Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:13:57.4275904Z >>> ] 2025-12-04T09:13:57.4276139Z >>> all_plans = [ 2025-12-04T09:13:57.4276423Z >>> replace(plan, items=items) 2025-12-04T09:13:57.4276914Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:13:57.4277315Z >>> ] 2025-12-04T09:13:57.4277593Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:13:57.4278036Z 2025-12-04T09:13:57.4278424Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:13:57.4279148Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:13:57.4279644Z the global planner aggregate them: 2025-12-04T09:13:57.4279950Z 2025-12-04T09:13:57.4280182Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:13:57.4280556Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:13:57.4280971Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:13:57.4281341Z >>> plan = super().create_local_plan() 2025-12-04T09:13:57.4281732Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:13:57.4282103Z >>> 2025-12-04T09:13:57.4282526Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:13:57.4283149Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:13:57.4283622Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:13:57.4284077Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:13:57.4284483Z >>> return global_plan, metadata 2025-12-04T09:13:57.4284779Z 2025-12-04T09:13:57.4285432Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:13:57.4286156Z 2025-12-04T09:13:57.4286343Z _._ = None 2025-12-04T09:13:57.4286562Z ^ 2025-12-04T09:13:57.4286769Z warnings.warn(msg) 2025-12-04T09:13:57.4287022Z 2025-12-04T09:13:57.4287340Z --- Parse Warning: 14 / 17 --- 2025-12-04T09:13:57.4288551Z /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. 2025-12-04T09:13:57.4289892Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.4290331Z 2025-12-04T09:13:57.4290731Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:13:57.4291220Z 2025-12-04T09:13:57.4291619Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:13:57.4292101Z 2025-12-04T09:13:57.4292493Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:13:57.4293014Z will be visible to the whole process. 2025-12-04T09:13:57.4293313Z 2025-12-04T09:13:57.4293703Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:13:57.4294213Z 2025-12-04T09:13:57.4294440Z 1) set_up_planner - called on all ranks. 2025-12-04T09:13:57.4294805Z Signals the start of loading a checkpoint. 2025-12-04T09:13:57.4295138Z 2025-12-04T09:13:57.4295366Z 2) create_local_plan - called on all ranks. 2025-12-04T09:13:57.4295897Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:13:57.4296385Z 2025-12-04T09:13:57.4296683Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:13:57.4297169Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:13:57.4297566Z 2025-12-04T09:13:57.4297828Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:13:57.4298247Z This is called once per non-tensor value in state_dict. 2025-12-04T09:13:57.4298337Z 2025-12-04T09:13:57.4298561Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:13:57.4298741Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:13:57.4298831Z 2025-12-04T09:13:57.4299135Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:13:57.4299397Z most changes can be expressed by changes in a single method. 2025-12-04T09:13:57.4299477Z 2025-12-04T09:13:57.4299676Z There are two usual patterns of extension: 2025-12-04T09:13:57.4299767Z 2025-12-04T09:13:57.4300021Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:13:57.4300277Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:13:57.4300517Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:13:57.4300642Z we need to be able to perform it in place 2025-12-04T09:13:57.4300720Z 2025-12-04T09:13:57.4300847Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:13:57.4300982Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:13:57.4301097Z >>> def set_up_planner( 2025-12-04T09:13:57.4301184Z >>> self, 2025-12-04T09:13:57.4301294Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:13:57.4301404Z >>> metadata: Metadata, 2025-12-04T09:13:57.4301505Z >>> is_coordinator: bool, 2025-12-04T09:13:57.4301597Z >>> ) -> None: 2025-12-04T09:13:57.4301738Z >>> self.original_state_dict = state_dict 2025-12-04T09:13:57.4301909Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:13:57.4301993Z >>> 2025-12-04T09:13:57.4302117Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:13:57.4302268Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:13:57.4302359Z >>> 2025-12-04T09:13:57.4302468Z >>> if self.flatten_state_dict: 2025-12-04T09:13:57.4302836Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:13:57.4302934Z >>> 2025-12-04T09:13:57.4303043Z >>> self.state_dict = state_dict 2025-12-04T09:13:57.4303148Z >>> self.metadata = metadata 2025-12-04T09:13:57.4303286Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:13:57.4303367Z >>> 2025-12-04T09:13:57.4303493Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:13:57.4303607Z >>> # Remove the "foo_" prefix 2025-12-04T09:13:57.4303924Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:13:57.4304015Z 2025-12-04T09:13:57.4304093Z 2025-12-04T09:13:57.4304351Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:13:57.4304441Z 2025-12-04T09:13:57.4304553Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:13:57.4304708Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:13:57.4304839Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:13:57.4304971Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:13:57.4305115Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:13:57.4305207Z >>> 2025-12-04T09:13:57.4305334Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:13:57.4305493Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:13:57.4305580Z 2025-12-04T09:13:57.4306116Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:13:57.4306204Z 2025-12-04T09:13:57.4306285Z _._ = None 2025-12-04T09:13:57.4306365Z ^ 2025-12-04T09:13:57.4306470Z warnings.warn(msg) 2025-12-04T09:13:57.4306547Z 2025-12-04T09:13:57.4306754Z --- Parse Warning: 15 / 17 --- 2025-12-04T09:13:57.4307721Z /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. 2025-12-04T09:13:57.4307970Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.4308179Z 2025-12-04T09:13:57.4308455Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:13:57.4308652Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:13:57.4308868Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:13:57.4309089Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:13:57.4309286Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:13:57.4309383Z follows: 2025-12-04T09:13:57.4309459Z 2025-12-04T09:13:57.4309588Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:13:57.4309839Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:13:57.4309969Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:13:57.4310184Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:13:57.4310402Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:13:57.4310511Z >>> state = fsdp.state_dict() 2025-12-04T09:13:57.4310735Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:13:57.4310971Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:13:57.4311202Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:13:57.4311316Z >>> if dist.get_rank() == 0: 2025-12-04T09:13:57.4311495Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:13:57.4311643Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:13:57.4311760Z >>> model.load_state_dict(state_dict) 2025-12-04T09:13:57.4311990Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:13:57.4312245Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:13:57.4312336Z >>> fsdp = FSDP( 2025-12-04T09:13:57.4312421Z ... model, 2025-12-04T09:13:57.4312565Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:13:57.4312668Z ... auto_wrap_policy=..., 2025-12-04T09:13:57.4312780Z ... sync_module_states=True, 2025-12-04T09:13:57.4312862Z ... ) 2025-12-04T09:13:57.4313072Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:13:57.4313160Z 2025-12-04T09:13:57.4313246Z Attributes: 2025-12-04T09:13:57.4313442Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:13:57.4313654Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:13:57.4313811Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:13:57.4313889Z 2025-12-04T09:13:57.4314395Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:13:57.4314480Z 2025-12-04T09:13:57.4314574Z _._ = None 2025-12-04T09:13:57.4314655Z ^ 2025-12-04T09:13:57.4314751Z warnings.warn(msg) 2025-12-04T09:13:57.4314842Z 2025-12-04T09:13:57.4315032Z --- Parse Warning: 16 / 17 --- 2025-12-04T09:13:57.4316001Z /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. 2025-12-04T09:13:57.4316265Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.4316422Z Register a parametrization to a tensor in a module. 2025-12-04T09:13:57.4316513Z 2025-12-04T09:13:57.4316863Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:13:57.4317205Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:13:57.4317529Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:13:57.4317820Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:13:57.4317897Z 2025-12-04T09:13:57.4318221Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:13:57.4318466Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:13:57.4318557Z 2025-12-04T09:13:57.4318811Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:13:57.4318940Z ``module.parametrizations.weight``. 2025-12-04T09:13:57.4319032Z 2025-12-04T09:13:57.4319172Z The original tensor will be accessible under 2025-12-04T09:13:57.4319326Z ``module.parametrizations.weight.original``. 2025-12-04T09:13:57.4319415Z 2025-12-04T09:13:57.4319684Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:13:57.4319785Z on the same attribute. 2025-12-04T09:13:57.4319872Z 2025-12-04T09:13:57.4320116Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:13:57.4320263Z to match the training mode of the host module 2025-12-04T09:13:57.4320344Z 2025-12-04T09:13:57.4320653Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:13:57.4320793Z using the context manager :func:`cached`. 2025-12-04T09:13:57.4320872Z 2025-12-04T09:13:57.4321112Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:13:57.4321205Z 2025-12-04T09:13:57.4321315Z .. code-block:: python 2025-12-04T09:13:57.4321398Z 2025-12-04T09:13:57.4321627Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:13:57.4321703Z 2025-12-04T09:13:57.4321967Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:13:57.4322187Z is registered to compute the initial value of the original tensor. 2025-12-04T09:13:57.4322492Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:13:57.4322578Z 2025-12-04T09:13:57.4322885Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:13:57.4323172Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:13:57.4323259Z 2025-12-04T09:13:57.4323487Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:13:57.4323727Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:13:57.4323971Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:13:57.4324048Z 2025-12-04T09:13:57.4324398Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:13:57.4324522Z with names ``original0``, ``original1``,... 2025-12-04T09:13:57.4324599Z 2025-12-04T09:13:57.4324694Z .. note:: 2025-12-04T09:13:57.4324770Z 2025-12-04T09:13:57.4325038Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:13:57.4325195Z once to perform a number of consistency checks. 2025-12-04T09:13:57.4325458Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:13:57.4325592Z and nothing will be called otherwise. 2025-12-04T09:13:57.4325668Z 2025-12-04T09:13:57.4325752Z .. note:: 2025-12-04T09:13:57.4325893Z 2025-12-04T09:13:57.4326094Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:13:57.4326258Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:13:57.4326567Z `right inverse `_). 2025-12-04T09:13:57.4326817Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:13:57.4326910Z to relax this. 2025-12-04T09:13:57.4326998Z 2025-12-04T09:13:57.4327086Z .. warning:: 2025-12-04T09:13:57.4327174Z 2025-12-04T09:13:57.4327447Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:13:57.4327701Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:13:57.4327979Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:13:57.4328174Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:13:57.4328257Z 2025-12-04T09:13:57.4328350Z Args: 2025-12-04T09:13:57.4328566Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:13:57.4328778Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:13:57.4328895Z the parametrization 2025-12-04T09:13:57.4329093Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:13:57.4329193Z Keyword args: 2025-12-04T09:13:57.4329407Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:13:57.4329600Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:13:57.4329878Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:13:57.4329996Z Enable this flag at your own risk. 2025-12-04T09:13:57.4330079Z 2025-12-04T09:13:57.4330173Z Raises: 2025-12-04T09:13:57.4330462Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:13:57.4330550Z 2025-12-04T09:13:57.4330635Z Examples: 2025-12-04T09:13:57.4330783Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:13:57.4330889Z >>> import torch 2025-12-04T09:13:57.4330993Z >>> import torch.nn as nn 2025-12-04T09:13:57.4331126Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:13:57.4331218Z >>> 2025-12-04T09:13:57.4331328Z >>> class Symmetric(nn.Module): 2025-12-04T09:13:57.4331428Z >>> def forward(self, X): 2025-12-04T09:13:57.4331617Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:13:57.4331700Z >>> 2025-12-04T09:13:57.4331820Z >>> def right_inverse(self, A): 2025-12-04T09:13:57.4331921Z >>> return A.triu() 2025-12-04T09:13:57.4332003Z >>> 2025-12-04T09:13:57.4332110Z >>> m = nn.Linear(5, 5) 2025-12-04T09:13:57.4332281Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:13:57.4332517Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:13:57.4332611Z True 2025-12-04T09:13:57.4332708Z >>> A = torch.rand(5, 5) 2025-12-04T09:13:57.4332818Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:13:57.4333027Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:13:57.4333149Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:13:57.4333241Z True 2025-12-04T09:13:57.4333320Z 2025-12-04T09:13:57.4333425Z >>> class RankOne(nn.Module): 2025-12-04T09:13:57.4333549Z >>> def forward(self, x, y): 2025-12-04T09:13:57.4333687Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:13:57.4333871Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:13:57.4333964Z >>> 2025-12-04T09:13:57.4334143Z >>> def right_inverse(self, Z): 2025-12-04T09:13:57.4334263Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:13:57.4334425Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:13:57.4334540Z >>> # Return rescaled singular vectors 2025-12-04T09:13:57.4334670Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:13:57.4334814Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:13:57.4334895Z >>> 2025-12-04T09:13:57.4335053Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:13:57.4335174Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:13:57.4335254Z ... ) 2025-12-04T09:13:57.4335468Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:13:57.4335552Z 1 2025-12-04T09:13:57.4335630Z 2025-12-04T09:13:57.4335728Z 2025-12-04T09:13:57.4336254Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:13:57.4336345Z 2025-12-04T09:13:57.4336429Z _._ = None 2025-12-04T09:13:57.4336507Z ^ 2025-12-04T09:13:57.4336612Z warnings.warn(msg) 2025-12-04T09:13:57.4336687Z 2025-12-04T09:13:57.4336889Z --- Parse Warning: 17 / 17 --- 2025-12-04T09:13:57.4337847Z /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. 2025-12-04T09:13:57.4338092Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:13:57.4338276Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:13:57.4338367Z 2025-12-04T09:13:57.4338571Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:13:57.4338769Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:13:57.4338962Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:13:57.4339084Z of epochs, the learning rate is reduced. 2025-12-04T09:13:57.4339174Z 2025-12-04T09:13:57.4339254Z Args: 2025-12-04T09:13:57.4339388Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:13:57.4339554Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:13:57.4339707Z be reduced when the quantity monitored has stopped 2025-12-04T09:13:57.4339879Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:13:57.4340071Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:13:57.4340240Z factor (float): Factor by which the learning rate will be 2025-12-04T09:13:57.4340391Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:13:57.4340609Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:13:57.4340736Z which the learning rate will be reduced. 2025-12-04T09:13:57.4340976Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:13:57.4341340Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:13:57.4341562Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:13:57.4341714Z we have what is considered an intolerable epoch. 2025-12-04T09:13:57.4341979Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:13:57.4342212Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:13:57.4342580Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:13:57.4342894Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:13:57.4343026Z the learning rate is not adjusted. 2025-12-04T09:13:57.4343122Z Default: 10. 2025-12-04T09:13:57.4343322Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:13:57.4343483Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:13:57.4343658Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:13:57.4343828Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:13:57.4343970Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:13:57.4344133Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:13:57.4344324Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:13:57.4344494Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:13:57.4344677Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:13:57.4344838Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:13:57.4344997Z lower bound on the learning rate of all param groups 2025-12-04T09:13:57.4345140Z or each group respectively. Default: 0. 2025-12-04T09:13:57.4345316Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:13:57.4345494Z between new and old lr is smaller than eps, the update is 2025-12-04T09:13:57.4345609Z ignored. Default: 1e-8. 2025-12-04T09:13:57.4345688Z 2025-12-04T09:13:57.4345792Z Example: 2025-12-04T09:13:57.4345894Z >>> # xdoctest: +SKIP 2025-12-04T09:13:57.4346125Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:13:57.4346295Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:13:57.4346399Z >>> for epoch in range(10): 2025-12-04T09:13:57.4346492Z >>> train(...) 2025-12-04T09:13:57.4346614Z >>> val_loss = validate(...) 2025-12-04T09:13:57.4346765Z >>> # Note that step should be called after validate() 2025-12-04T09:13:57.4346876Z >>> scheduler.step(val_loss) 2025-12-04T09:13:57.4346969Z 2025-12-04T09:13:57.4347164Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:13:57.4347261Z 2025-12-04T09:13:57.4347671Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:13:57.4347751Z 2025-12-04T09:13:57.4347873Z scheduler.step(val_loss) 2025-12-04T09:13:57.4347956Z ^ 2025-12-04T09:13:57.4348053Z warnings.warn(msg) 2025-12-04T09:13:57.4348147Z 2025-12-04T09:13:57.4348267Z  2025-12-04T09:13:57.4348443Z === Found 10 run-time warnings === 2025-12-04T09:13:57.4348638Z --- Runtime Warning: 1 / 10 --- 2025-12-04T09:13:57.4348833Z example = 2025-12-04T09:13:57.4350315Z :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() 2025-12-04T09:13:57.4350397Z 2025-12-04T09:13:57.4350575Z --- Runtime Warning: 2 / 10 --- 2025-12-04T09:13:57.4350856Z example = 2025-12-04T09:13:57.4352312Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py:1392: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1973.) 2025-12-04T09:13:57.4352443Z return super().refine_names(names) 2025-12-04T09:13:57.4352523Z 2025-12-04T09:13:57.4352700Z --- Runtime Warning: 3 / 10 --- 2025-12-04T09:13:57.4353022Z example = 2025-12-04T09:13:57.4353650Z /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. 2025-12-04T09:13:57.4353974Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-12-04T09:13:57.4354178Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-12-04T09:13:57.4354479Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-12-04T09:13:57.4354586Z dispatch key: CPU 2025-12-04T09:13:57.4355014Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-12-04T09:13:57.4356022Z new kernel: registered at :1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:208.) 2025-12-04T09:13:57.4356181Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-12-04T09:13:57.4356258Z 2025-12-04T09:13:57.4356450Z --- Runtime Warning: 4 / 10 --- 2025-12-04T09:13:57.4356772Z example = 2025-12-04T09:13:57.4358640Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:178.) 2025-12-04T09:13:57.4358892Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-12-04T09:13:57.4358970Z 2025-12-04T09:13:57.4359168Z --- Runtime Warning: 5 / 10 --- 2025-12-04T09:13:57.4359420Z example = 2025-12-04T09:13:57.4361067Z :1: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:53.) 2025-12-04T09:13:57.4361150Z 2025-12-04T09:13:57.4361337Z --- Runtime Warning: 6 / 10 --- 2025-12-04T09:13:57.4361649Z example = 2025-12-04T09:13:57.4363162Z /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 2025-12-04T09:13:57.4363338Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-12-04T09:13:57.4363475Z 2025-12-04T09:13:57.4363663Z --- Runtime Warning: 7 / 10 --- 2025-12-04T09:13:57.4363996Z example = 2025-12-04T09:13:57.4365088Z /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) 2025-12-04T09:13:57.4365218Z self.encoder = TransformerEncoder( 2025-12-04T09:13:57.4365297Z 2025-12-04T09:13:57.4365484Z --- Runtime Warning: 8 / 10 --- 2025-12-04T09:13:57.4365812Z example = 2025-12-04T09:13:57.4367034Z :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) 2025-12-04T09:13:57.4367128Z 2025-12-04T09:13:57.4367308Z --- Runtime Warning: 9 / 10 --- 2025-12-04T09:13:57.4367595Z example = 2025-12-04T09:13:57.4368414Z /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`. 2025-12-04T09:13:57.4368537Z WeightNorm.apply(module, name, dim) 2025-12-04T09:13:57.4368628Z 2025-12-04T09:13:57.4368810Z --- Runtime Warning: 10 / 10 --- 2025-12-04T09:13:57.4369114Z example = 2025-12-04T09:13:57.4369935Z /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`. 2025-12-04T09:13:57.4370064Z WeightNorm.apply(module, name, dim) 2025-12-04T09:13:57.4370155Z 2025-12-04T09:13:57.4370445Z === 378 passed, 516 skipped, 27 warnings in 20.48 seconds === 2025-12-04T09:13:57.4370707Z Finished doctests 1/1 ... [2025-12-04 09:13:57.391344][1171.821065537], took 0.34min 2025-12-04T09:13:57.4370988Z Running inductor/test_flex_attention 1/5 ... [2025-12-04 09:13:57.394364][1171.824095406] 2025-12-04T09:13:57.4371101Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:57.4372168Z 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 09:13:57.394716] 2025-12-04T09:14:05.7360870Z 2025-12-04T09:14:05.7362309Z 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_7f50cd6db75433fc_.log 2025-12-04T09:14:05.7363686Z Running 0 items in this shard: 2025-12-04T09:14:05.7363975Z 2025-12-04T09:14:05.7364346Z Finished inductor/test_flex_attention 1/5 ... [2025-12-04 09:14:05.736011][1180.165738097], took 0.14min 2025-12-04T09:14:05.7391193Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-a9a3b914b0e02acc.xml 2025-12-04T09:14:05.8765979Z Running inductor/test_flex_attention 2/5 ... [2025-12-04 09:14:05.876285][1180.306011717] 2025-12-04T09:14:05.8766504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:05.8769526Z 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 09:14:05.876690] 2025-12-04T09:14:14.1613636Z 2025-12-04T09:14:14.1615553Z 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_2b1020451c1987cf_.log 2025-12-04T09:14:14.1617227Z Running 0 items in this shard: 2025-12-04T09:14:14.1617580Z 2025-12-04T09:14:14.1618189Z Finished inductor/test_flex_attention 2/5 ... [2025-12-04 09:14:14.161160][1188.59088824], took 0.14min 2025-12-04T09:14:14.1644205Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-f35f8e1593d94bd8.xml 2025-12-04T09:14:14.2362660Z Running inductor/test_flex_attention 3/5 ... [2025-12-04 09:14:14.235919][1188.66564589] 2025-12-04T09:14:14.2363526Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:14.2367112Z 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 09:14:14.236354] 2025-12-04T09:14:22.5592742Z 2025-12-04T09:14:22.5593736Z 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_a01e3b09641bac7b_.log 2025-12-04T09:14:22.5594616Z Running 0 items in this shard: 2025-12-04T09:14:22.5594811Z 2025-12-04T09:14:22.5595151Z Finished inductor/test_flex_attention 3/5 ... [2025-12-04 09:14:22.559112][1196.988839954], took 0.14min 2025-12-04T09:14:22.5622089Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-9e08f309cdf6e888.xml 2025-12-04T09:14:22.6324820Z Running inductor/test_flex_attention 4/5 ... [2025-12-04 09:14:22.632180][1197.061907573] 2025-12-04T09:14:22.6325385Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:22.6329347Z 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 09:14:22.632557] 2025-12-04T09:14:30.9594725Z 2025-12-04T09:14:30.9595774Z 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_9a0ef18f6f25ff3b_.log 2025-12-04T09:14:30.9596830Z Running 0 items in this shard: 2025-12-04T09:14:30.9597026Z 2025-12-04T09:14:30.9597352Z Finished inductor/test_flex_attention 4/5 ... [2025-12-04 09:14:30.959305][1205.389033804], took 0.14min 2025-12-04T09:14:30.9624802Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-3c97aa818495efa4.xml 2025-12-04T09:14:31.0454278Z Running inductor/test_flex_attention 5/5 ... [2025-12-04 09:14:31.044350][1205.474076739] 2025-12-04T09:14:31.0454952Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:31.0456261Z 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 09:14:31.044760] 2025-12-04T09:14:39.3966320Z 2025-12-04T09:14:39.3967273Z 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_33979a2e12251911_.log 2025-12-04T09:14:39.3968155Z Running 0 items in this shard: 2025-12-04T09:14:39.3968348Z 2025-12-04T09:14:39.3968685Z Finished inductor/test_flex_attention 5/5 ... [2025-12-04 09:14:39.396428][1213.826156846], took 0.14min 2025-12-04T09:14:39.3997434Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-0eaab0726093f8ed.xml 2025-12-04T09:14:39.4612876Z Running inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:14:39.460951][1213.890678642] 2025-12-04T09:14:39.4613434Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:39.4616177Z 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 09:14:39.461330] 2025-12-04T09:14:46.5429583Z 2025-12-04T09:14:46.5430878Z 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_3e76a74d6d14de4c_.log 2025-12-04T09:14:46.5431672Z 2025-12-04T09:14:46.5432016Z Finished inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:14:46.542623][1220.972352257], took 0.12min 2025-12-04T09:14:46.5462988Z Running inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:14:46.546076][1220.975806083] 2025-12-04T09:14:46.5463564Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:46.5466916Z 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 09:14:46.546428] 2025-12-04T09:14:54.0939720Z 2025-12-04T09:14:54.0940788Z 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_09c5ff1523139e31_.log 2025-12-04T09:14:54.0941679Z Running 0 items in this shard: 2025-12-04T09:14:54.0941895Z 2025-12-04T09:14:54.0942235Z Finished inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:14:54.093805][1228.523533662], took 0.13min 2025-12-04T09:14:54.0971968Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-0331b2372efe0fa5.xml 2025-12-04T09:14:54.1744727Z Running inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:14:54.174145][1228.603872165] 2025-12-04T09:14:54.1745321Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:54.1747834Z 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 09:14:54.174515] 2025-12-04T09:15:01.3509803Z 2025-12-04T09:15:01.3511475Z 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_b7e494a44fb0c0be_.log 2025-12-04T09:15:01.3513289Z Running 0 items in this shard: 2025-12-04T09:15:01.3513640Z 2025-12-04T09:15:01.3514330Z Finished inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:15:01.350787][1235.780513569], took 0.12min 2025-12-04T09:15:01.3546409Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-0de5153e9d98685a.xml 2025-12-04T09:15:01.4212169Z Running test_sort_and_select 1/1 ... [2025-12-04 09:15:01.420927][1235.850654899] 2025-12-04T09:15:01.4212962Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:01.4217201Z 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 09:15:01.421358] 2025-12-04T09:15:04.9091041Z 2025-12-04T09:15:04.9092227Z 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_7c010f7bfac2fbc6_.log 2025-12-04T09:15:04.9093032Z Running 0 items in this shard: 2025-12-04T09:15:04.9093238Z 2025-12-04T09:15:04.9093511Z Finished test_sort_and_select 1/1 ... [2025-12-04 09:15:04.908925][1239.33865376], took 0.06min 2025-12-04T09:15:04.9125937Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-7322fde94017cbb2.xml 2025-12-04T09:15:04.9399138Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:15:04.939633][1239.369360984] 2025-12-04T09:15:04.9399690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:04.9403264Z 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 09:15:04.940051] 2025-12-04T09:15:07.9000796Z 2025-12-04T09:15:07.9002456Z 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_76cbbb3e18845a59_.log 2025-12-04T09:15:07.9004344Z Running 0 items in this shard: 2025-12-04T09:15:07.9004710Z 2025-12-04T09:15:07.9005353Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:15:07.899902][1242.329628745], took 0.05min 2025-12-04T09:15:07.9040145Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-50969956c0cb2e5c.xml 2025-12-04T09:15:07.9282704Z Running test_cpp_api_parity 1/1 ... [2025-12-04 09:15:07.928000][1242.357727847] 2025-12-04T09:15:07.9283491Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:07.9287510Z 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 09:15:07.928403] 2025-12-04T09:15:17.0876291Z 2025-12-04T09:15:17.0877241Z 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_29d52321e9ed6031_.log 2025-12-04T09:15:17.0878010Z Running 0 items in this shard: 2025-12-04T09:15:17.0878203Z 2025-12-04T09:15:17.0878475Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:15:17.087432][1251.517160333], took 0.15min 2025-12-04T09:15:17.0913565Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-202c28908eed2086.xml 2025-12-04T09:15:17.1645481Z Running test_extension_utils 1/1 ... [2025-12-04 09:15:17.164252][1251.593979013] 2025-12-04T09:15:17.1645998Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:17.1649173Z 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 09:15:17.164677] 2025-12-04T09:15:20.1584553Z 2025-12-04T09:15:20.1585534Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_cdc3d1fb3867bccf_.log 2025-12-04T09:15:20.1586376Z Running 0 items in this shard: 2025-12-04T09:15:20.1586643Z 2025-12-04T09:15:20.1586934Z Finished test_extension_utils 1/1 ... [2025-12-04 09:15:20.158289][1254.588016638], took 0.05min 2025-12-04T09:15:20.1623516Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_extension_utils/test_extension_utils-f157287e873328ac.xml 2025-12-04T09:15:20.1908306Z Running test_show_pickle 1/1 ... [2025-12-04 09:15:20.190567][1254.620294552] 2025-12-04T09:15:20.1908832Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:20.1911572Z 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 09:15:20.190921] 2025-12-04T09:15:23.1238134Z 2025-12-04T09:15:23.1239234Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_bab0e6da0c9b37c5_.log 2025-12-04T09:15:23.1239991Z Running 0 items in this shard: 2025-12-04T09:15:23.1240187Z 2025-12-04T09:15:23.1240455Z Finished test_show_pickle 1/1 ... [2025-12-04 09:15:23.123638][1257.553364512], took 0.05min 2025-12-04T09:15:23.1277957Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-f3d984f58bc73db4.xml 2025-12-04T09:15:23.1540442Z Running test_tensorexpr 1/1 ... [2025-12-04 09:15:23.153844][1257.583573124] 2025-12-04T09:15:23.1540991Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:23.1544242Z 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 09:15:23.154204] 2025-12-04T09:15:26.4358177Z 2025-12-04T09:15:26.4359029Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_26c43cb56012933b_.log 2025-12-04T09:15:26.4359776Z Running 0 items in this shard: 2025-12-04T09:15:26.4360013Z 2025-12-04T09:15:26.4360275Z Finished test_tensorexpr 1/1 ... [2025-12-04 09:15:26.435612][1260.865338852], took 0.05min 2025-12-04T09:15:26.4399057Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-a721768496c88266.xml 2025-12-04T09:15:26.4692564Z Running test_namedtuple_return_api 1/1 ... [2025-12-04 09:15:26.468969][1260.898696237] 2025-12-04T09:15:26.4693089Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:26.4696200Z 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 09:15:26.469387] 2025-12-04T09:15:29.5102170Z 2025-12-04T09:15:29.5103296Z 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_866e7199b3bc3c98_.log 2025-12-04T09:15:29.5104153Z Running 0 items in this shard: 2025-12-04T09:15:29.5104361Z 2025-12-04T09:15:29.5104679Z Finished test_namedtuple_return_api 1/1 ... [2025-12-04 09:15:29.510025][1263.939753357], took 0.05min 2025-12-04T09:15:29.5145057Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-1c8413cd4a95fee6.xml 2025-12-04T09:15:29.5461972Z Running test_fake_tensor 1/1 ... [2025-12-04 09:15:29.545987][1263.975715531] 2025-12-04T09:15:29.5462443Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:29.5465905Z 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 09:15:29.546358] 2025-12-04T09:15:37.9437590Z 2025-12-04T09:15:37.9438458Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_a83726a492e86089_.log 2025-12-04T09:15:37.9454888Z 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 2025-12-04T09:15:37.9470617Z 2025-12-04T09:15:37.9470878Z Finished test_fake_tensor 1/1 ... [2025-12-04 09:15:37.943611][1272.373338787], took 0.14min 2025-12-04T09:15:37.9482479Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-3c86cad8cb84f9d4.xml 2025-12-04T09:15:38.0258527Z Running test_multiprocessing 1/1 ... [2025-12-04 09:15:38.025515][1272.455242027] 2025-12-04T09:15:38.0259058Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:38.0262203Z 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 09:15:38.025922] 2025-12-04T09:21:08.1481418Z 2025-12-04T09:21:08.1482724Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_4d352d34b4cc0774_.log 2025-12-04T09:21:08.1516455Z 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 2025-12-04T09:21:08.1549512Z 2025-12-04T09:21:08.1549808Z Finished test_multiprocessing 1/1 ... [2025-12-04 09:21:08.148072][1602.577797315], took 5.50min 2025-12-04T09:21:08.1550986Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-26cc770acbc87366.xml 2025-12-04T09:21:08.2329769Z Running test_autograd_fallback 1/1 ... [2025-12-04 09:21:08.232632][1602.662359373] 2025-12-04T09:21:08.2330521Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:08.2334573Z 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 09:21:08.233086] 2025-12-04T09:21:11.2292315Z 2025-12-04T09:21:11.2293306Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_236c418d7a549de7_.log 2025-12-04T09:21:11.2294220Z Running 0 items in this shard: 2025-12-04T09:21:11.2294422Z 2025-12-04T09:21:11.2294779Z Finished test_autograd_fallback 1/1 ... [2025-12-04 09:21:11.228936][1605.658664755], took 0.05min 2025-12-04T09:21:11.2338454Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-7c829f4dca374427.xml 2025-12-04T09:21:11.2601133Z Running test_autocast 1/1 ... [2025-12-04 09:21:11.259824][1605.689551054] 2025-12-04T09:21:11.2601595Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:11.2604742Z 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 09:21:11.260203] 2025-12-04T09:21:14.5825236Z 2025-12-04T09:21:14.5826120Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_cd7502da799d13e2_.log 2025-12-04T09:21:14.5826864Z Running 0 items in this shard: 2025-12-04T09:21:14.5827059Z 2025-12-04T09:21:14.5827325Z Finished test_autocast 1/1 ... [2025-12-04 09:21:14.582356][1609.012082417], took 0.06min 2025-12-04T09:21:14.5872542Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-165f9ff5f523f908.xml 2025-12-04T09:21:14.6158905Z Running test_jit_disabled 1/1 ... [2025-12-04 09:21:14.615670][1609.045390974] 2025-12-04T09:21:14.6159389Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:14.6162938Z 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 09:21:14.616059] 2025-12-04T09:21:17.5622373Z 2025-12-04T09:21:17.5623301Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_4a2b0ddde711f530_.log 2025-12-04T09:21:17.5624073Z Running 0 items in this shard: 2025-12-04T09:21:17.5624279Z 2025-12-04T09:21:17.5624547Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:21:17.562077][1611.991801114], took 0.05min 2025-12-04T09:21:17.5671826Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-18ebd69a348cc642.xml 2025-12-04T09:21:17.5952004Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:21:17.594867][1612.024593794] 2025-12-04T09:21:17.5952560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:17.5955167Z 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 09:21:17.595266] 2025-12-04T09:21:20.5594765Z 2025-12-04T09:21:20.5596102Z 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_fdc3cfe79045952f_.log 2025-12-04T09:21:20.5597066Z Running 0 items in this shard: 2025-12-04T09:21:20.5597276Z 2025-12-04T09:21:20.5597607Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:21:20.559322][1614.989046951], took 0.05min 2025-12-04T09:21:20.5650694Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-85d77bcacdfa3acb.xml 2025-12-04T09:21:20.5946751Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:21:20.594425][1615.024153346] 2025-12-04T09:21:20.5947324Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:20.5950884Z 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 09:21:20.594823] 2025-12-04T09:21:23.8560599Z 2025-12-04T09:21:23.8561856Z 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_bb0b21470c49963e_.log 2025-12-04T09:21:23.8562884Z Running 0 items in this shard: 2025-12-04T09:21:23.8563081Z 2025-12-04T09:21:23.8563533Z Finished functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:21:23.855891][1618.285616638], took 0.05min 2025-12-04T09:21:23.8612132Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-379ca4a273b59e3e.xml 2025-12-04T09:21:23.8886848Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:21:23.888439][1618.31816763] 2025-12-04T09:21:23.8887431Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:23.8890593Z 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 09:21:23.888796] 2025-12-04T09:21:26.8366081Z 2025-12-04T09:21:26.8367723Z 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_b2295c75b8aa5df6_.log 2025-12-04T09:21:26.8369449Z Running 0 items in this shard: 2025-12-04T09:21:26.8369804Z 2025-12-04T09:21:26.8370462Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:21:26.836434][1621.266161601], took 0.05min 2025-12-04T09:21:26.8422415Z 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-1c746eaceae8cb8c.xml 2025-12-04T09:21:26.8693886Z Running test_dispatch 1/1 ... [2025-12-04 09:21:26.869130][1621.29885899] 2025-12-04T09:21:26.8694639Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:26.8698928Z 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 09:21:26.869548] 2025-12-04T09:21:29.8726028Z 2025-12-04T09:21:29.8727442Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_bc519a390feb74d4_.log 2025-12-04T09:21:29.8728189Z Running 0 items in this shard: 2025-12-04T09:21:29.8728653Z 2025-12-04T09:21:29.8728918Z Finished test_dispatch 1/1 ... [2025-12-04 09:21:29.872436][1624.302161423], took 0.05min 2025-12-04T09:21:29.8780841Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-7885cf69665ebd8c.xml 2025-12-04T09:21:29.9054070Z Running nn/test_convolution 1/1 ... [2025-12-04 09:21:29.905106][1624.334832242] 2025-12-04T09:21:29.9054591Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:29.9058012Z 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 09:21:29.905519] 2025-12-04T09:21:34.6584023Z 2025-12-04T09:21:34.6585403Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_cdf8de0969318fbd_.log 2025-12-04T09:21:34.6586898Z Running 0 items in this shard: 2025-12-04T09:21:34.6587257Z 2025-12-04T09:21:34.6587819Z Finished nn/test_convolution 1/1 ... [2025-12-04 09:21:34.658211][1629.087939209], took 0.08min 2025-12-04T09:21:34.6643446Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-58cc05bf12f5af86.xml 2025-12-04T09:21:34.6955095Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 09:21:34.695208][1629.124935785] 2025-12-04T09:21:34.6955906Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:34.6960504Z 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 09:21:34.695673] 2025-12-04T09:21:38.0774856Z 2025-12-04T09:21:38.0776468Z 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_0fb9718753665066_.log 2025-12-04T09:21:38.0778012Z Running 0 items in this shard: 2025-12-04T09:21:38.0778369Z 2025-12-04T09:21:38.0778932Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 09:21:38.077295][1632.507022496], took 0.06min 2025-12-04T09:21:38.0835025Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-bd58d164066115d2.xml 2025-12-04T09:21:38.1129716Z Running test_cuda_trace 1/1 ... [2025-12-04 09:21:38.112729][1632.542457014] 2025-12-04T09:21:38.1130488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:38.1134833Z 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 09:21:38.113142] 2025-12-04T09:21:41.0460095Z 2025-12-04T09:21:41.0461171Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_7d5438ed039b9574_.log 2025-12-04T09:21:41.0461960Z Running 0 items in this shard: 2025-12-04T09:21:41.0462168Z 2025-12-04T09:21:41.0462449Z Finished test_cuda_trace 1/1 ... [2025-12-04 09:21:41.045789][1635.475517688], took 0.05min 2025-12-04T09:21:41.0521294Z Running test_native_mha 1/1 ... [2025-12-04 09:21:41.051935][1635.481664845] 2025-12-04T09:21:41.0521751Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:41.0525441Z 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 09:21:41.052317] 2025-12-04T09:21:44.3661526Z 2025-12-04T09:21:44.3662674Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_62a4711ccb84951f_.log 2025-12-04T09:21:44.3663528Z Running 0 items in this shard: 2025-12-04T09:21:44.3663721Z 2025-12-04T09:21:44.3663988Z Finished test_native_mha 1/1 ... [2025-12-04 09:21:44.365928][1638.795657111], took 0.06min 2025-12-04T09:21:44.3719033Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-d8f4f92ec79e5d06.xml 2025-12-04T09:21:44.4448426Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:21:44.444542][1638.874270016] 2025-12-04T09:21:44.4448954Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:44.4452940Z 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 09:21:44.444931] 2025-12-04T09:21:47.3976416Z 2025-12-04T09:21:47.3977738Z 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_3bf0de5bd17bf8fb_.log 2025-12-04T09:21:47.3978578Z Running 0 items in this shard: 2025-12-04T09:21:47.3978771Z 2025-12-04T09:21:47.3979089Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:21:47.397470][1641.827197789], took 0.05min 2025-12-04T09:21:47.4044574Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:21:47.404245][1641.83397341] 2025-12-04T09:21:47.4045285Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:47.4048680Z 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 09:21:47.404601] 2025-12-04T09:21:51.0627591Z 2025-12-04T09:21:51.0628926Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_1bc4528d704a7e3b_.log 2025-12-04T09:21:51.0662561Z 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 2025-12-04T09:21:51.0696150Z 2025-12-04T09:21:51.0696448Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:21:51.062762][1645.492485316], took 0.06min 2025-12-04T09:21:51.0697513Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-2d8f61d8b73530d8.xml 2025-12-04T09:21:51.1521187Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 09:21:51.151801][1645.581528114] 2025-12-04T09:21:51.1521772Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:51.1524787Z 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 09:21:51.152167] 2025-12-04T09:21:54.4012847Z 2025-12-04T09:21:54.4013986Z 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_e3a67f09b5d0d101_.log 2025-12-04T09:21:54.4014777Z Running 0 items in this shard: 2025-12-04T09:21:54.4014969Z 2025-12-04T09:21:54.4015246Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 09:21:54.401104][1648.830830558], took 0.05min 2025-12-04T09:21:54.4076820Z Running distributions/test_distributions 1/1 ... [2025-12-04 09:21:54.407441][1648.837171702] 2025-12-04T09:21:54.4077744Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:54.4081979Z 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 09:21:54.407863] 2025-12-04T09:21:58.5729195Z 2025-12-04T09:21:58.5730703Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_abbc55eedf8e9df6_.log 2025-12-04T09:21:58.5750083Z 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 2025-12-04T09:21:58.5769146Z 2025-12-04T09:21:58.5769513Z Finished distributions/test_distributions 1/1 ... [2025-12-04 09:21:58.572801][1653.002526342], took 0.07min 2025-12-04T09:21:58.5794669Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-da24e7da31325f66.xml 2025-12-04T09:21:58.6591717Z Running test_autoload_disable 1/1 ... [2025-12-04 09:21:58.658915][1653.088642636] 2025-12-04T09:21:58.9921950Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:22:01.9855218Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:22:01.9877381Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:22:11.5413036Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:22:11.5667975Z [?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=4c74a2af9fac9f689007f92b85bc3ab32786df1008dfd958b9c6e7f29908be1c 2025-12-04T09:22:11.5669448Z Stored in directory: /tmp/pip-ephem-wheel-cache-vse3vqpy/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:22:11.5686889Z Successfully built torch_test_cpp_extension 2025-12-04T09:22:12.0487640Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:22:12.2123608Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:22:14.6279165Z 2025-12-04T09:22:14.6279582Z Running tests... 2025-12-04T09:22:14.6279964Z ---------------------------------------------------------------------- 2025-12-04T09:22:14.8151058Z . 2025-12-04T09:22:14.8151407Z ---------------------------------------------------------------------- 2025-12-04T09:22:14.8151883Z Ran 1 test in 0.187s 2025-12-04T09:22:14.8152081Z 2025-12-04T09:22:14.8152172Z OK 2025-12-04T09:22:14.8152281Z 2025-12-04T09:22:14.8152442Z Generating XML reports... 2025-12-04T09:22:15.4015763Z Finished test_autoload_disable 1/1 ... [2025-12-04 09:22:15.401237][1669.830955893], took 0.28min 2025-12-04T09:22:15.4077967Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204092214.xml 2025-12-04T09:22:15.4794260Z Running test_autoload_enable 1/1 ... [2025-12-04 09:22:15.479154][1669.908880517] 2025-12-04T09:22:15.8225869Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:22:18.8045945Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:22:18.8066346Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:22:28.2669422Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:22:28.2923702Z [?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=6a1fbb97188fdd5611c4e434c0687ee125442d964c33463bcc9fb130aad58a84 2025-12-04T09:22:28.2925102Z Stored in directory: /tmp/pip-ephem-wheel-cache-l_sd40dg/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:22:28.2943307Z Successfully built torch_test_cpp_extension 2025-12-04T09:22:28.7757401Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:22:28.9433645Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:22:31.3764031Z 2025-12-04T09:22:31.3764708Z Running tests... 2025-12-04T09:22:31.3765113Z ---------------------------------------------------------------------- 2025-12-04T09:22:31.5619775Z . 2025-12-04T09:22:31.5620168Z ---------------------------------------------------------------------- 2025-12-04T09:22:31.5620909Z Ran 1 test in 0.186s 2025-12-04T09:22:31.5621069Z 2025-12-04T09:22:31.5621150Z OK 2025-12-04T09:22:31.5621272Z 2025-12-04T09:22:31.5621495Z Generating XML reports... 2025-12-04T09:22:32.1497822Z Finished test_autoload_enable 1/1 ... [2025-12-04 09:22:32.149340][1686.57905988], took 0.28min 2025-12-04T09:22:32.1559964Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204092231.xml 2025-12-04T09:22:32.2303181Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:22:32.229975][1686.65970267] 2025-12-04T09:22:32.6083809Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:22:35.5941567Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:22:35.5962234Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:22:45.5845081Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:22:45.6099033Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079605 sha256=bdd18df8ad41205280de4314a914e97271796e04cedeb91a432f250ee84a7105 2025-12-04T09:22:45.6100570Z Stored in directory: /tmp/pip-ephem-wheel-cache-e4hl2xvw/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:22:45.6119347Z Successfully built torch_test_cpp_extension 2025-12-04T09:22:46.0954791Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:22:46.2598807Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:22:46.6599651Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:22:48.3702435Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:22:48.3723514Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:22:50.2788823Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:22:50.2795966Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2944 sha256=f71404dfd377e829221856e370a44a7abf2779240404540767fd6ea1e4bf250c 2025-12-04T09:22:50.2797543Z Stored in directory: /tmp/pip-ephem-wheel-cache-h_edumg_/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T09:22:50.2816120Z Successfully built no_python_abi_suffix_test 2025-12-04T09:22:50.7638743Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:22:50.7746999Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:22:50.8430321Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:50.8435437Z 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 09:22:50.843178] 2025-12-04T09:22:54.1764144Z 2025-12-04T09:22:54.1765259Z 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_fa6b7fb0f74237ad_.log 2025-12-04T09:22:54.1766125Z Running 0 items in this shard: 2025-12-04T09:22:54.1766328Z 2025-12-04T09:22:54.1766652Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:22:54.176317][1708.606044907], took 0.37min 2025-12-04T09:22:54.1829239Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-831e4931082af478.xml 2025-12-04T09:22:54.2522833Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:22:54.251998][1708.681726229] 2025-12-04T09:22:54.5928355Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:22:57.5458070Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:22:57.5479017Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:23:07.1705532Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:23:07.1958584Z [?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=fa708807a867b415933840a93bf6887fa546e85321499a82aa172cc83a1e282d 2025-12-04T09:23:07.1959990Z Stored in directory: /tmp/pip-ephem-wheel-cache-4jaom33w/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:23:07.1977797Z Successfully built torch_test_cpp_extension 2025-12-04T09:23:07.6791972Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:23:07.8458804Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:23:08.2449519Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:23:09.8876516Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:23:09.8897998Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:23:11.7435307Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:23:11.7443627Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2944 sha256=3426673dffdba5698a03c4020f305b6774ca1b095967838aa4295bf9c192305b 2025-12-04T09:23:11.7445948Z Stored in directory: /tmp/pip-ephem-wheel-cache-yh9yaqs8/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T09:23:11.7464245Z Successfully built no_python_abi_suffix_test 2025-12-04T09:23:12.2263015Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:23:12.2367019Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:23:12.3015308Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:12.3017288Z 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 09:23:12.301422] 2025-12-04T09:23:15.6121420Z 2025-12-04T09:23:15.6122979Z 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_385651f8d57c15a1_.log 2025-12-04T09:23:15.6123865Z Running 0 items in this shard: 2025-12-04T09:23:15.6124072Z 2025-12-04T09:23:15.6124403Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:23:15.612055][1730.04178246], took 0.36min 2025-12-04T09:23:15.6192124Z 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-dc707c431896a0e2.xml 2025-12-04T09:23:15.6945849Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:23:15.694203][1730.123928985] 2025-12-04T09:23:15.6946526Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:15.6949328Z 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 09:23:15.694601] 2025-12-04T09:23:17.1100117Z 2025-12-04T09:23:17.1101372Z 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_871242fc821bf50d_.log 2025-12-04T09:23:17.1102197Z 2025-12-04T09:23:17.1102570Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:23:17.109791][1731.539517405], took 0.02min 2025-12-04T09:23:17.1174353Z Running inductor/test_cuda_repro 1/1 ... [2025-12-04 09:23:17.117239][1731.546969995] 2025-12-04T09:23:17.1175218Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:17.1178558Z 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 09:23:17.117584] 2025-12-04T09:23:24.4696590Z 2025-12-04T09:23:24.4697540Z 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_26dde706eded1438_.log 2025-12-04T09:23:24.4698274Z 2025-12-04T09:23:24.4698582Z Finished inductor/test_cuda_repro 1/1 ... [2025-12-04 09:23:24.469439][1738.899168652], took 0.12min 2025-12-04T09:23:24.4766512Z Running inductor/test_layout_optim 1/1 ... [2025-12-04 09:23:24.476458][1738.906188128] 2025-12-04T09:23:24.4767037Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:24.4770518Z 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 09:23:24.476814] 2025-12-04T09:23:31.5174283Z 2025-12-04T09:23:31.5175323Z 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_8100ed44fe78f7d8_.log 2025-12-04T09:23:31.5176130Z 2025-12-04T09:23:31.5176438Z Finished inductor/test_layout_optim 1/1 ... [2025-12-04 09:23:31.517214][1745.9469417], took 0.12min 2025-12-04T09:23:31.5244878Z Running inductor/test_deterministic 1/1 ... [2025-12-04 09:23:31.524235][1745.953965423] 2025-12-04T09:23:31.5245433Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:31.5248326Z 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 09:23:31.524580] 2025-12-04T09:23:38.5480596Z 2025-12-04T09:23:38.5482164Z inductor/test_deterministic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_1.1_7771be1ac6434106_.log 2025-12-04T09:23:38.5483609Z 2025-12-04T09:23:38.5484247Z Finished inductor/test_deterministic 1/1 ... [2025-12-04 09:23:38.547845][1752.977572429], took 0.12min 2025-12-04T09:23:38.5552870Z Running inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:23:38.555052][1752.984782105] 2025-12-04T09:23:38.5553660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:38.5558290Z 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 09:23:38.555480] 2025-12-04T09:23:45.5617391Z 2025-12-04T09:23:45.5618332Z 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_604523f055980788_.log 2025-12-04T09:23:45.5619015Z 2025-12-04T09:23:45.5619315Z Finished inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:23:45.561197][1759.990926005], took 0.12min 2025-12-04T09:23:45.5685448Z Running inductor/test_autoheuristic 1/1 ... [2025-12-04 09:23:45.568345][1759.998074976] 2025-12-04T09:23:45.5685971Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:45.5689432Z 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 09:23:45.568703] 2025-12-04T09:23:52.6458981Z 2025-12-04T09:23:52.6460643Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_4c334fbe1f60c2d6_.log 2025-12-04T09:23:52.6461419Z 2025-12-04T09:23:52.6461750Z Finished inductor/test_autoheuristic 1/1 ... [2025-12-04 09:23:52.645692][1767.075420061], took 0.12min 2025-12-04T09:23:52.6529972Z Running inductor/test_loop_ordering 1/1 ... [2025-12-04 09:23:52.652777][1767.082506746] 2025-12-04T09:23:52.6530487Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:52.6534294Z 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 09:23:52.653158] 2025-12-04T09:23:59.6429063Z 2025-12-04T09:23:59.6430253Z 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_6ed0bcb828aa8068_.log 2025-12-04T09:23:59.6431029Z 2025-12-04T09:23:59.6431351Z Finished inductor/test_loop_ordering 1/1 ... [2025-12-04 09:23:59.642694][1774.072421806], took 0.12min 2025-12-04T09:23:59.6500963Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 09:23:59.649896][1774.079626919] 2025-12-04T09:23:59.6501537Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:59.6505483Z 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 09:23:59.650251] 2025-12-04T09:24:06.7230893Z 2025-12-04T09:24:06.7232176Z 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_836e5613bc99eafc_.log 2025-12-04T09:24:06.7233042Z 2025-12-04T09:24:06.7233412Z Finished inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 09:24:06.722862][1781.152591129], took 0.12min 2025-12-04T09:24:06.7301005Z Running inductor/test_control_deps 1/1 ... [2025-12-04 09:24:06.729884][1781.159613936] 2025-12-04T09:24:06.7301526Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:06.7305221Z 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 09:24:06.730259] 2025-12-04T09:24:13.7456278Z 2025-12-04T09:24:13.7457670Z 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_b68b75ed05c510d6_.log 2025-12-04T09:24:13.7458422Z 2025-12-04T09:24:13.7458736Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 09:24:13.745404][1788.175131373], took 0.12min 2025-12-04T09:24:13.7527002Z Running inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 09:24:13.752465][1788.182195685] 2025-12-04T09:24:13.7527668Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:13.7531302Z 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 09:24:13.752837] 2025-12-04T09:24:21.1002535Z 2025-12-04T09:24:21.1004025Z 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_3d8ea8018b7358b9_.log 2025-12-04T09:24:21.1005140Z 2025-12-04T09:24:21.1005604Z Finished inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 09:24:21.100037][1795.529764958], took 0.12min 2025-12-04T09:24:21.1077657Z Running inductor/test_memory 1/1 ... [2025-12-04 09:24:21.107550][1795.537280627] 2025-12-04T09:24:21.1078318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:21.1081640Z 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 09:24:21.107888] 2025-12-04T09:24:28.0951685Z 2025-12-04T09:24:28.0952903Z inductor/test_memory 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_1.1_aff780f0225aff5b_.log 2025-12-04T09:24:28.0953613Z 2025-12-04T09:24:28.0953912Z Finished inductor/test_memory 1/1 ... [2025-12-04 09:24:28.094935][1802.524663821], took 0.12min 2025-12-04T09:24:28.1022194Z Running inductor/test_pallas 1/1 ... [2025-12-04 09:24:28.102022][1802.531749885] 2025-12-04T09:24:28.1022689Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:28.1026581Z 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 09:24:28.102408] 2025-12-04T09:24:35.4500095Z 2025-12-04T09:24:35.4501292Z inductor/test_pallas 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pallas_1.1_06c042d3b09bc01b_.log 2025-12-04T09:24:35.4501994Z 2025-12-04T09:24:35.4502281Z Finished inductor/test_pallas 1/1 ... [2025-12-04 09:24:35.449785][1809.879512234], took 0.12min 2025-12-04T09:24:35.4571059Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 09:24:35.456885][1809.886614473] 2025-12-04T09:24:35.4571593Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:35.4575068Z 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 09:24:35.457264] 2025-12-04T09:24:42.5502547Z 2025-12-04T09:24:42.5504242Z 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_d776bb5564a90d4e_.log 2025-12-04T09:24:42.5505502Z 2025-12-04T09:24:42.5506047Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 09:24:42.550044][1816.979772357], took 0.12min 2025-12-04T09:24:42.5576546Z Running test_varlen_attention 1/1 ... [2025-12-04 09:24:42.557422][1816.987152065] 2025-12-04T09:24:42.5577071Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:42.5580400Z 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 09:24:42.557791] 2025-12-04T09:24:45.8529201Z 2025-12-04T09:24:45.8530145Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_8aaefb4dbce465d0_.log 2025-12-04T09:24:45.8530952Z Running 0 items in this shard: 2025-12-04T09:24:45.8531145Z 2025-12-04T09:24:45.8531429Z Finished test_varlen_attention 1/1 ... [2025-12-04 09:24:45.852721][1820.282446173], took 0.05min 2025-12-04T09:24:45.8594444Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-3877919d0b05e33a.xml 2025-12-04T09:24:45.9678704Z Running test_jiterator 1/1 ... [2025-12-04 09:24:45.967547][1820.397274736] 2025-12-04T09:24:45.9679306Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:45.9681302Z 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 09:24:45.967894] 2025-12-04T09:24:49.3213767Z 2025-12-04T09:24:49.3214641Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_6d606780206c0489_.log 2025-12-04T09:24:49.3215408Z Running 0 items in this shard: 2025-12-04T09:24:49.3215667Z 2025-12-04T09:24:49.3215920Z Finished test_jiterator 1/1 ... [2025-12-04 09:24:49.321187][1823.75091536], took 0.06min 2025-12-04T09:24:49.3280845Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jiterator/test_jiterator-68972fe40088ad79.xml 2025-12-04T09:24:49.3635296Z Running test_ops_fwd_gradients 2/2 ... [2025-12-04 09:24:49.363244][1823.792971354] 2025-12-04T09:24:49.3635810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:49.3639142Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_fwd_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 09:24:49.363603] 2025-12-04T09:24:59.4004468Z 2025-12-04T09:24:59.4005571Z test_ops_fwd_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_2.2_e0d250cb65a3cde3_.log 2025-12-04T09:24:59.4006435Z Running 0 items in this shard: 2025-12-04T09:24:59.4006687Z 2025-12-04T09:24:59.4006987Z Finished test_ops_fwd_gradients 2/2 ... [2025-12-04 09:24:59.400251][1833.829978364], took 0.17min 2025-12-04T09:24:59.4072021Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-4a0b8e8a478ae911.xml 2025-12-04T09:24:59.5214600Z Running test_nestedtensor 3/3 ... [2025-12-04 09:24:59.521149][1833.95087648] 2025-12-04T09:24:59.5215099Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:59.5218033Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'serial', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:59.521510] 2025-12-04T09:25:07.1272258Z 2025-12-04T09:25:07.1273371Z test_nestedtensor 3/3 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_3.3_e3612e3a6780c7b8_.log 2025-12-04T09:25:07.1274678Z Running 0 items in this shard: 2025-12-04T09:25:07.1274992Z 2025-12-04T09:25:07.1275291Z Finished test_nestedtensor 3/3 ... [2025-12-04 09:25:07.127030][1841.556758511], took 0.13min 2025-12-04T09:25:07.1342044Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-ea52b7558494be21.xml 2025-12-04T09:25:07.1997503Z Running optim/test_lrscheduler 1/1 ... [2025-12-04 09:25:07.199447][1841.629175295] 2025-12-04T09:25:07.1998056Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:07.2001387Z 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 09:25:07.199812] 2025-12-04T09:25:10.0633826Z 2025-12-04T09:25:10.0635361Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_5bae456e96c41a69_.log 2025-12-04T09:25:10.0636212Z 2025-12-04T09:25:10.0636530Z Finished optim/test_lrscheduler 1/1 ... [2025-12-04 09:25:10.063145][1844.492873383], took 0.05min 2025-12-04T09:25:10.0709269Z Running test_ops 4/5 ... [2025-12-04 09:25:10.070723][1844.500453051] 2025-12-04T09:25:10.0709900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:10.0713326Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--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 09:25:10.071069] 2025-12-04T09:26:18.7884255Z 2025-12-04T09:26:18.7885083Z test_ops 4/5 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.5_050c9a2b523a31de_.log 2025-12-04T09:26:18.7887286Z Running 0 items in this shard: 2025-12-04T09:26:18.7887543Z 2025-12-04T09:26:18.7887833Z Finished test_ops 4/5 ... [2025-12-04 09:26:18.788245][1913.21797139], took 1.15min 2025-12-04T09:26:18.7957175Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-c541db4066e195aa.xml 2025-12-04T09:26:18.8672608Z Running test_ops 5/5 ... [2025-12-04 09:26:18.866968][1913.296695497] 2025-12-04T09:26:18.8673074Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:18.8676268Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:18.867351] 2025-12-04T09:27:27.6811946Z 2025-12-04T09:27:27.6812810Z test_ops 5/5 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_5.5_907fc986dbe9f3fe_.log 2025-12-04T09:27:27.6814831Z Running 0 items in this shard: 2025-12-04T09:27:27.6815284Z 2025-12-04T09:27:27.6815599Z Finished test_ops 5/5 ... [2025-12-04 09:27:27.681013][1982.110740414], took 1.15min 2025-12-04T09:27:27.6885299Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-77e26a549c9d342c.xml 2025-12-04T09:27:27.7625788Z Running functorch/test_ops 7/7 ... [2025-12-04 09:27:27.762281][1982.192008667] 2025-12-04T09:27:27.7626307Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:27.7628787Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=7', '--num-shards=7', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:27.762627] 2025-12-04T09:27:50.2029718Z 2025-12-04T09:27:50.2030743Z functorch/test_ops 7/7 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_7.7_f62b23e9153e6356_.log 2025-12-04T09:27:50.2031572Z Running 0 items in this shard: 2025-12-04T09:27:50.2031781Z 2025-12-04T09:27:50.2032055Z Finished functorch/test_ops 7/7 ... [2025-12-04 09:27:50.202801][2004.632529251], took 0.37min 2025-12-04T09:27:50.2103344Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-5711e599df60dfe3.xml 2025-12-04T09:27:50.2781585Z Running functorch/test_aotdispatch 6/8 ... [2025-12-04 09:27:50.277840][2004.707567029] 2025-12-04T09:27:50.2782129Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:50.2784832Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=6', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:50.278224] 2025-12-04T09:28:02.0244454Z 2025-12-04T09:28:02.0245958Z functorch/test_aotdispatch 6/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_6.8_881ce46c0cde8855_.log 2025-12-04T09:28:02.0247060Z Running 0 items in this shard: 2025-12-04T09:28:02.0247465Z 2025-12-04T09:28:02.0248083Z Finished functorch/test_aotdispatch 6/8 ... [2025-12-04 09:28:02.024238][2016.453965965], took 0.20min 2025-12-04T09:28:02.0320375Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-e95a03cda29ac3e2.xml 2025-12-04T09:28:02.1029457Z Running functorch/test_aotdispatch 8/8 ... [2025-12-04 09:28:02.102608][2016.532334863] 2025-12-04T09:28:02.1030005Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:02.1033006Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=8', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:02.102982] 2025-12-04T09:28:13.8620013Z 2025-12-04T09:28:13.8620996Z functorch/test_aotdispatch 8/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_8.8_09242488942dba0e_.log 2025-12-04T09:28:13.8621848Z Running 0 items in this shard: 2025-12-04T09:28:13.8622056Z 2025-12-04T09:28:13.8622394Z Finished functorch/test_aotdispatch 8/8 ... [2025-12-04 09:28:13.861822][2028.291549192], took 0.20min 2025-12-04T09:28:13.8696324Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-0b80564178c5c168.xml 2025-12-04T09:28:13.9477225Z Running test_cuda_multigpu 1/1 ... [2025-12-04 09:28:13.947428][2028.377155809] 2025-12-04T09:28:13.9477737Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:13.9480634Z 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 09:28:13.947798] 2025-12-04T09:28:17.2261875Z 2025-12-04T09:28:17.2262832Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_70d37b4a3991e757_.log 2025-12-04T09:28:17.2263603Z Running 0 items in this shard: 2025-12-04T09:28:17.2263798Z 2025-12-04T09:28:17.2264084Z Finished test_cuda_multigpu 1/1 ... [2025-12-04 09:28:17.225922][2031.655648358], took 0.05min 2025-12-04T09:28:17.2338209Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-2c90f2b4a52efba6.xml 2025-12-04T09:28:20.0973674Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:28:20.096880][2034.526607294] 2025-12-04T09:28:20.0974445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:20.0975151Z Running inductor/test_cuda_repro 1/1 ... [2025-12-04 09:28:20.097059][2034.526783689] 2025-12-04T09:28:20.0975778Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:20.0977678Z 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 09:28:20.097385] 2025-12-04T09:28:20.0980811Z 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 09:28:20.097549] 2025-12-04T09:28:20.1190594Z Running inductor/test_layout_optim 1/1 ... [2025-12-04 09:28:20.118713][2034.548440539] 2025-12-04T09:28:20.1191832Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:20.1195124Z 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 09:28:20.119161] 2025-12-04T09:28:21.6150443Z 2025-12-04T09:28:21.6151953Z 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_62e859f8e195d64d_.log 2025-12-04T09:28:21.6153303Z 2025-12-04T09:28:21.6154257Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:28:21.615078][2036.044801301], took 0.03min 2025-12-04T09:28:25.1005724Z Running inductor/test_deterministic 1/1 ... [2025-12-04 09:28:25.100208][2039.529934846] 2025-12-04T09:28:25.1006319Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:25.1009867Z 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 09:28:25.100680] 2025-12-04T09:28:27.6160238Z 2025-12-04T09:28:27.6164784Z 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_5c3a572bbf383bc3_.log 2025-12-04T09:28:27.6165531Z 2025-12-04T09:28:27.6165858Z Finished inductor/test_layout_optim 1/1 ... [2025-12-04 09:28:27.615790][2042.045515558], took 0.12min 2025-12-04T09:28:29.5256847Z 2025-12-04T09:28:29.5258555Z 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_d11e8aadb2369dfe_.log 2025-12-04T09:28:29.5259748Z 2025-12-04T09:28:29.5260314Z Finished inductor/test_cuda_repro 1/1 ... [2025-12-04 09:28:29.525354][2043.955080124], took 0.16min 2025-12-04T09:28:31.2531204Z Running inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:28:31.252724][2045.682452095] 2025-12-04T09:28:31.2531981Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:31.2536229Z 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 09:28:31.253221] 2025-12-04T09:28:32.7623692Z 2025-12-04T09:28:32.7625080Z inductor/test_deterministic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_1.1_ecfdc6bc84ed65af_.log 2025-12-04T09:28:32.7626413Z 2025-12-04T09:28:32.7626966Z Finished inductor/test_deterministic 1/1 ... [2025-12-04 09:28:32.762091][2047.19182089], took 0.13min 2025-12-04T09:28:33.0903132Z Running inductor/test_autoheuristic 1/1 ... [2025-12-04 09:28:33.089863][2047.519588407] 2025-12-04T09:28:33.0904189Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:33.0907325Z 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 09:28:33.090346] 2025-12-04T09:28:36.3772432Z Running inductor/test_loop_ordering 1/1 ... [2025-12-04 09:28:36.376850][2050.806577134] 2025-12-04T09:28:36.3773310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:36.3776543Z 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 09:28:36.377271] 2025-12-04T09:28:38.7666841Z 2025-12-04T09:28:38.7668395Z 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_5fca2098540ed58e_.log 2025-12-04T09:28:38.7669660Z 2025-12-04T09:28:38.7670207Z Finished inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:28:38.766400][2053.196129513], took 0.13min 2025-12-04T09:28:40.6207967Z 2025-12-04T09:28:40.6209586Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_7dbac1d6dd8b5b4d_.log 2025-12-04T09:28:40.6210984Z 2025-12-04T09:28:40.6211576Z Finished inductor/test_autoheuristic 1/1 ... [2025-12-04 09:28:40.620530][2055.050255097], took 0.13min 2025-12-04T09:28:42.3509141Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 09:28:42.350473][2056.780200862] 2025-12-04T09:28:42.3510251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:42.3512676Z 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 09:28:42.350863] 2025-12-04T09:28:43.9830430Z 2025-12-04T09:28:43.9831770Z 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_23fe0260a1e2b15b_.log 2025-12-04T09:28:43.9832707Z 2025-12-04T09:28:43.9833045Z Finished inductor/test_loop_ordering 1/1 ... [2025-12-04 09:28:43.982751][2058.412476003], took 0.13min 2025-12-04T09:28:44.1368973Z Running inductor/test_control_deps 1/1 ... [2025-12-04 09:28:44.136478][2058.566204] 2025-12-04T09:28:44.1369933Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:44.1373828Z 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 09:28:44.136966] 2025-12-04T09:28:47.4593946Z Running inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 09:28:47.458879][2061.88860321] 2025-12-04T09:28:47.4594982Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:47.4597712Z 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 09:28:47.459381] 2025-12-04T09:28:49.8985828Z 2025-12-04T09:28:49.8987592Z 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_630f8dee73e88bb3_.log 2025-12-04T09:28:49.8989123Z 2025-12-04T09:28:49.8989788Z Finished inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 09:28:49.898144][2064.327873081], took 0.13min 2025-12-04T09:28:51.7782996Z 2025-12-04T09:28:51.7784307Z 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_889edcb22ba120e8_.log 2025-12-04T09:28:51.7785591Z 2025-12-04T09:28:51.7786091Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 09:28:51.778073][2066.207801608], took 0.13min 2025-12-04T09:28:53.4929196Z Running inductor/test_memory 1/1 ... [2025-12-04 09:28:53.492470][2067.922194908] 2025-12-04T09:28:53.4930379Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:53.4934335Z 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 09:28:53.493008] 2025-12-04T09:28:55.3312838Z Running inductor/test_pallas 1/1 ... [2025-12-04 09:28:55.329668][2069.759395973] 2025-12-04T09:28:55.3313849Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:55.3316148Z 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 09:28:55.330129] 2025-12-04T09:28:55.3981098Z 2025-12-04T09:28:55.3982223Z 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_fb429f06bad11ae7_.log 2025-12-04T09:28:55.3983172Z 2025-12-04T09:28:55.3983583Z Finished inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 09:28:55.397914][2069.827638149], took 0.13min 2025-12-04T09:28:58.9691767Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 09:28:58.968647][2073.398368268] 2025-12-04T09:28:58.9693086Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:58.9698691Z 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 09:28:58.969421] 2025-12-04T09:29:01.0178060Z 2025-12-04T09:29:01.0179354Z inductor/test_memory 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_1.1_b4e33fe73147c240_.log 2025-12-04T09:29:01.0180206Z 2025-12-04T09:29:01.0180509Z Finished inductor/test_memory 1/1 ... [2025-12-04 09:29:01.017529][2075.447259567], took 0.13min 2025-12-04T09:29:03.2381953Z 2025-12-04T09:29:03.2383466Z inductor/test_pallas 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pallas_1.1_1490bd3d2237703a_.log 2025-12-04T09:29:03.2384668Z 2025-12-04T09:29:03.2385185Z Finished inductor/test_pallas 1/1 ... [2025-12-04 09:29:03.237908][2077.66763516], took 0.13min 2025-12-04T09:29:03.4634052Z Uploading artifacts took 0.21 seconds 2025-12-04T09:29:04.6101292Z Running test_varlen_attention 1/1 ... [2025-12-04 09:29:04.609524][2079.039244997] 2025-12-04T09:29:04.6102351Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:04.6109065Z 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 09:29:04.610378] 2025-12-04T09:29:06.6391895Z 2025-12-04T09:29:06.6393469Z 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_6f9220d8919c5733_.log 2025-12-04T09:29:06.6394681Z 2025-12-04T09:29:06.6395232Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 09:29:06.638905][2081.068632601], took 0.13min 2025-12-04T09:29:06.7548418Z Running test_jiterator 1/1 ... [2025-12-04 09:29:06.754453][2081.184180908] 2025-12-04T09:29:06.7548926Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:06.7552571Z 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 09:29:06.754949] 2025-12-04T09:29:08.1904007Z 2025-12-04T09:29:08.1905726Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_638c8f482a71e24e_.log 2025-12-04T09:29:08.1907235Z Running 0 items in this shard: 2025-12-04T09:29:08.1907559Z 2025-12-04T09:29:08.1908051Z Finished test_varlen_attention 1/1 ... [2025-12-04 09:29:08.190430][2082.620156777], took 0.06min 2025-12-04T09:29:08.2022599Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-8d37e8d34a466811.xml 2025-12-04T09:29:10.1399483Z Running test_ops_fwd_gradients 2/2 ... [2025-12-04 09:29:10.139482][2084.569209423] 2025-12-04T09:29:10.1400160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:10.1402299Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_fwd_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 09:29:10.139908] 2025-12-04T09:29:10.2921663Z 2025-12-04T09:29:10.2923000Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_3eba28b00dd557b7_.log 2025-12-04T09:29:10.2924148Z Running 0 items in this shard: 2025-12-04T09:29:10.2925382Z 2025-12-04T09:29:10.2926141Z Finished test_jiterator 1/1 ... [2025-12-04 09:29:10.292258][2084.721983301], took 0.06min 2025-12-04T09:29:10.2997915Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jiterator/test_jiterator-16245b008f10cfb0.xml 2025-12-04T09:29:11.7200714Z Running test_nestedtensor 3/3 ... [2025-12-04 09:29:11.719627][2086.149354501] 2025-12-04T09:29:11.7201625Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:11.7204828Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'not serial', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:11.720083] 2025-12-04T09:29:13.8505578Z Running optim/test_lrscheduler 1/1 ... [2025-12-04 09:29:13.850155][2088.27988218] 2025-12-04T09:29:13.8506114Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:13.8510396Z 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 09:29:13.850605] 2025-12-04T09:29:16.9102590Z 2025-12-04T09:29:16.9104211Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_167a036b360b8fda_.log 2025-12-04T09:29:16.9105586Z 2025-12-04T09:29:16.9106142Z Finished optim/test_lrscheduler 1/1 ... [2025-12-04 09:29:16.910327][2091.340051947], took 0.05min 2025-12-04T09:29:19.6285312Z 2025-12-04T09:29:19.6286501Z test_nestedtensor 3/3 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_3.3_71eeb8845ddd9ff7_.log 2025-12-04T09:29:19.6288461Z Running 0 items in this shard: 2025-12-04T09:29:19.6288727Z 2025-12-04T09:29:19.6289125Z Finished test_nestedtensor 3/3 ... [2025-12-04 09:29:19.628709][2094.058432983], took 0.13min 2025-12-04T09:29:19.6370011Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-fbddba1069e926d0.xml 2025-12-04T09:29:19.7102844Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-ee13b734d4eafdd2.xml 2025-12-04T09:29:20.3689944Z Running test_ops 4/5 ... [2025-12-04 09:29:20.368559][2094.79828528] 2025-12-04T09:29:20.3690601Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:20.3695152Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--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 09:29:20.369079] 2025-12-04T09:29:20.6665866Z 2025-12-04T09:29:20.6667750Z test_ops_fwd_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_2.2_68ee8961aa605bb4_.log 2025-12-04T09:29:20.6674320Z Running 0 items in this shard: 2025-12-04T09:29:20.6674852Z 2025-12-04T09:29:20.6681195Z Finished test_ops_fwd_gradients 2/2 ... [2025-12-04 09:29:20.667131][2095.096852265], took 0.18min 2025-12-04T09:29:23.2331835Z Running test_ops 5/5 ... [2025-12-04 09:29:23.232609][2097.662329473] 2025-12-04T09:29:23.2333251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:23.2345179Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:23.234009] 2025-12-04T09:29:24.2751478Z Running functorch/test_ops 7/7 ... [2025-12-04 09:29:24.274713][2098.704439589] 2025-12-04T09:29:24.2752426Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:24.2755207Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=7', '--num-shards=7', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:24.275151] 2025-12-04T09:29:47.1132983Z 2025-12-04T09:29:47.1134496Z functorch/test_ops 7/7 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_7.7_ad02af86f8ef9009_.log 2025-12-04T09:29:47.1135788Z Running 0 items in this shard: 2025-12-04T09:29:47.1136079Z 2025-12-04T09:29:47.1136429Z Finished functorch/test_ops 7/7 ... [2025-12-04 09:29:47.113379][2121.543102668], took 0.38min 2025-12-04T09:29:47.1269307Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-ce22a31ef3a80674.xml 2025-12-04T09:29:50.5798871Z Running functorch/test_aotdispatch 6/8 ... [2025-12-04 09:29:50.579444][2125.009171496] 2025-12-04T09:29:50.5799856Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:50.5802379Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=6', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:50.579875] 2025-12-04T09:30:02.3362266Z 2025-12-04T09:30:02.3363321Z functorch/test_aotdispatch 6/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_6.8_a66d9964de4deae2_.log 2025-12-04T09:30:02.3364767Z Running 0 items in this shard: 2025-12-04T09:30:02.3365070Z 2025-12-04T09:30:02.3365423Z Finished functorch/test_aotdispatch 6/8 ... [2025-12-04 09:30:02.336336][2136.766060376], took 0.20min 2025-12-04T09:30:02.3498132Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-aee515bdad08dde4.xml 2025-12-04T09:30:05.7961217Z Running functorch/test_aotdispatch 8/8 ... [2025-12-04 09:30:05.795684][2140.225411249] 2025-12-04T09:30:05.7962104Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:05.7966196Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=8', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:05.796192] 2025-12-04T09:30:17.4878152Z 2025-12-04T09:30:17.4879719Z functorch/test_aotdispatch 8/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_8.8_a1a7a18bc93e088e_.log 2025-12-04T09:30:17.4881350Z Running 0 items in this shard: 2025-12-04T09:30:17.4881674Z 2025-12-04T09:30:17.4882268Z Finished functorch/test_aotdispatch 8/8 ... [2025-12-04 09:30:17.487901][2151.917624847], took 0.19min 2025-12-04T09:30:17.4972047Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-ea04c6dd4e48b679.xml 2025-12-04T09:30:20.9456051Z Running test_cuda_multigpu 1/1 ... [2025-12-04 09:30:20.945184][2155.374911351] 2025-12-04T09:30:20.9456970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:20.9459809Z 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 09:30:20.945622] 2025-12-04T09:30:24.3676489Z 2025-12-04T09:30:24.3678220Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_d9f0a85f1a38834c_.log 2025-12-04T09:30:24.3679698Z Running 0 items in this shard: 2025-12-04T09:30:24.3680031Z 2025-12-04T09:30:24.3680321Z Finished test_cuda_multigpu 1/1 ... [2025-12-04 09:30:24.367669][2158.797382747], took 0.06min 2025-12-04T09:30:24.3817655Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-c9c83a01da0afff4.xml 2025-12-04T09:30:31.0255481Z 2025-12-04T09:30:31.0256775Z test_ops 4/5 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.5_e70e4263c919ba72_.log 2025-12-04T09:30:31.0258165Z Running 0 items in this shard: 2025-12-04T09:30:31.0258523Z 2025-12-04T09:30:31.0258934Z Finished test_ops 4/5 ... [2025-12-04 09:30:31.025640][2165.455364684], took 1.18min 2025-12-04T09:30:31.0341276Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-328de772dad4ed8a.xml 2025-12-04T09:30:31.1014005Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-7516c4632e71f97a.xml 2025-12-04T09:30:33.6627518Z 2025-12-04T09:30:33.6628703Z test_ops 5/5 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_5.5_32dcbee16419f97c_.log 2025-12-04T09:30:33.6629906Z Running 0 items in this shard: 2025-12-04T09:30:33.6630240Z 2025-12-04T09:30:33.6630639Z Finished test_ops 5/5 ... [2025-12-04 09:30:33.662839][2168.092564665], took 1.17min 2025-12-04T09:30:35.0801662Z Running test batch 'tests to run' cost 1342.74 seconds 2025-12-04T09:30:35.0817031Z Emitting td_test_failure_stats_v2 2025-12-04T09:30:35.0821108Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764840635_e2e5ad82d0f311f09c870242ac110002 2025-12-04T09:30:35.2325817Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764840635_e2e5ad82d0f311f09c870242ac110002 2025-12-04T09:30:35.2327034Z test_ci_sanity_check_fail 1/1 failed! 2025-12-04T09:30:36.2896482Z 2025-12-04T09:30:36.2897261Z real 22m28.880s 2025-12-04T09:30:36.2897702Z user 28m5.738s 2025-12-04T09:30:36.2898018Z sys 3m42.311s 2025-12-04T09:30:36.2898347Z + assert_git_not_dirty 2025-12-04T09:30:36.2898779Z + [[ linux-jammy-py3.10-gcc11 != *rocm* ]] 2025-12-04T09:30:36.2899310Z + [[ linux-jammy-py3.10-gcc11 != *xla* ]] 2025-12-04T09:30:36.2903615Z ++ git status --porcelain 2025-12-04T09:30:36.2904127Z ++ grep -v '?? third_party' 2025-12-04T09:31:20.2424828Z ++ true 2025-12-04T09:31:20.2461283Z + git_status= 2025-12-04T09:31:20.2464061Z + [[ -n '' ]] 2025-12-04T09:31:20.2464647Z + test_aten 2025-12-04T09:31:20.2465107Z + echo 'Running ATen tests with pytorch lib' 2025-12-04T09:31:20.2465482Z Running ATen tests with pytorch lib 2025-12-04T09:31:20.2465788Z + [[ -n '' ]] 2025-12-04T09:31:20.2466046Z + echo 'Running test with the build folder' 2025-12-04T09:31:20.2466391Z Running test with the build folder 2025-12-04T09:31:20.2466684Z + TEST_BASE_DIR=build/bin 2025-12-04T09:31:20.2467167Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so build/bin 2025-12-04T09:31:20.2490445Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2*' build/bin 2025-12-04T09:31:20.2501385Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin 2025-12-04T09:31:20.2512482Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin 2025-12-04T09:31:20.2525150Z + 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 2025-12-04T09:31:20.2542526Z + ls build/bin 2025-12-04T09:31:20.2581229Z BackoffTest cpu_generator_test 2025-12-04T09:31:20.2581905Z CMakeFiles cpu_profiling_allocator_test 2025-12-04T09:31:20.2582531Z CTestTestfile.cmake cpu_rng_test 2025-12-04T09:31:20.2583096Z CppSignature_test dlconvertor_test 2025-12-04T09:31:20.2583503Z Dict_test example_allreduce 2025-12-04T09:31:20.2584019Z Dimname_test extension_backend_test 2025-12-04T09:31:20.2584546Z FileStoreTest half_test 2025-12-04T09:31:20.2585176Z HashStoreTest inline_container_test 2025-12-04T09:31:20.2585825Z IListRef_test ivalue_test 2025-12-04T09:31:20.2586302Z KernelFunction_test kernel_function_legacy_test 2025-12-04T09:31:20.2586705Z List_test kernel_function_test 2025-12-04T09:31:20.2587098Z MaybeOwned_test kernel_lambda_legacy_test 2025-12-04T09:31:20.2587482Z NamedTensor_test kernel_lambda_test 2025-12-04T09:31:20.2587871Z ProcessGroupGlooTest kernel_stackbased_test 2025-12-04T09:31:20.2588270Z StorageUtils_test lazy_tensor_test 2025-12-04T09:31:20.2588613Z TCPStoreTest legacy_vmap_test 2025-12-04T09:31:20.2588929Z apply_utils_test libc10.so 2025-12-04T09:31:20.2589234Z atest 'libcaffe2*' 2025-12-04T09:31:20.2589538Z backend_fallback_test 'libmkldnn*' 2025-12-04T09:31:20.2589853Z basic 'libnccl*' 2025-12-04T09:31:20.2590135Z broadcast_test libtorch.so 2025-12-04T09:31:20.2590487Z c10_AllocatorConfig_test libtorch_cpu.so 2025-12-04T09:31:20.2590873Z c10_ArrayRef_test libtorch_global_deps.so 2025-12-04T09:31:20.2591248Z c10_Bitset_test libtorch_python.so 2025-12-04T09:31:20.2591670Z c10_CompileTimeFunctionPointer_test libtorchbind_test.so 2025-12-04T09:31:20.2592180Z c10_ConstexprCrc_test make_boxed_from_unboxed_functor_test 2025-12-04T09:31:20.2592635Z c10_DeadlockDetection_test math_kernel_test 2025-12-04T09:31:20.2593026Z c10_DeviceGuard_test memory_format_test 2025-12-04T09:31:20.2593406Z c10_Device_test memory_overlapping_test 2025-12-04T09:31:20.2593795Z c10_DispatchKeySet_test mobile_memory_cleanup 2025-12-04T09:31:20.2594168Z c10_Enumerate_test native_test 2025-12-04T09:31:20.2594497Z c10_Half_test op_allowlist_test 2025-12-04T09:31:20.2594870Z c10_InlineDeviceGuard_test op_registration_test 2025-12-04T09:31:20.2595299Z c10_InlineStreamGuard_test operator_name_test 2025-12-04T09:31:20.2595929Z c10_IntrusiveList_test operators_test 2025-12-04T09:31:20.2596436Z c10_LeftRight_test packedtensoraccessor_test 2025-12-04T09:31:20.2596931Z c10_NetworkFlow_test parallel_benchmark 2025-12-04T09:31:20.2597289Z c10_Scalar_test pow_test 2025-12-04T09:31:20.2597603Z c10_Semaphore_test protoc 2025-12-04T09:31:20.2597937Z c10_SizesAndStrides_test protoc-3.13.0.0 2025-12-04T09:31:20.2598311Z c10_StreamGuard_test quantized_test 2025-12-04T09:31:20.2598656Z c10_SymInt_test reduce_ops_test 2025-12-04T09:31:20.2599021Z c10_Synchronized_test reportMemoryUsage_test 2025-12-04T09:31:20.2599421Z c10_ThreadLocal_test scalar_tensor_test 2025-12-04T09:31:20.2599775Z c10_TypeIndex_test scalar_test 2025-12-04T09:31:20.2600127Z c10_accumulate_test static_runtime_bench 2025-12-04T09:31:20.2600485Z c10_bfloat16_test static_runtime_test 2025-12-04T09:31:20.2600865Z c10_bit_cast_test stride_properties_test 2025-12-04T09:31:20.2601254Z c10_complex_math_test tensor_iterator_test 2025-12-04T09:31:20.2601625Z c10_complex_test test_aoti_abi_check 2025-12-04T09:31:20.2601966Z c10_cow_test test_api 2025-12-04T09:31:20.2602261Z c10_error_test test_cpp_rpc 2025-12-04T09:31:20.2602581Z c10_exception_test test_dist_autograd 2025-12-04T09:31:20.2603125Z c10_flags_test test_jit 2025-12-04T09:31:20.2603438Z c10_generic_math_test test_lazy 2025-12-04T09:31:20.2603783Z c10_intrusive_ptr_benchmark test_parallel 2025-12-04T09:31:20.2604178Z c10_intrusive_ptr_test test_vec_half_AVX2 2025-12-04T09:31:20.2604559Z c10_irange_test test_vec_half_AVX512 2025-12-04T09:31:20.2604911Z c10_lazy_test test_vec_half_DEFAULT 2025-12-04T09:31:20.2605244Z c10_logging_test thread_init_test 2025-12-04T09:31:20.2605583Z c10_nofatal_test torch_shm_manager 2025-12-04T09:31:20.2605927Z c10_optional_test type_ptr_test 2025-12-04T09:31:20.2606272Z c10_ordered_preserving_dict_test type_test 2025-12-04T09:31:20.2606654Z c10_registry_test undefined_tensor_test 2025-12-04T09:31:20.2607050Z c10_small_vector_test vec_test_all_types_AVX2 2025-12-04T09:31:20.2607433Z c10_ssize_test vec_test_all_types_AVX512 2025-12-04T09:31:20.2607842Z c10_string_util_test vec_test_all_types_DEFAULT 2025-12-04T09:31:20.2608255Z c10_string_view_test verify_api_visibility 2025-12-04T09:31:20.2608620Z c10_tempfile_test weakref_test 2025-12-04T09:31:20.2608938Z c10_typeid_test wrapdim_test 2025-12-04T09:31:20.2609320Z cmake_install.cmake xla_tensor_test 2025-12-04T09:31:20.2609899Z cpu_allocator_test 2025-12-04T09:31:20.2610318Z + aten/tools/run_tests.sh build/bin 2025-12-04T09:31:20.2610633Z + set -e 2025-12-04T09:31:20.2612518Z ++ dirname aten/tools/run_tests.sh 2025-12-04T09:31:20.2621230Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-12-04T09:31:20.2621906Z + export CPP_TESTS_DIR=build/bin 2025-12-04T09:31:20.2622337Z + CPP_TESTS_DIR=build/bin 2025-12-04T09:31:20.2622638Z + VALGRIND=ON 2025-12-04T09:31:20.2624453Z + 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 2025-12-04T09:31:25.0107280Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:31:25.0206143Z Found test times from artifacts 2025-12-04T09:31:25.0590200Z Found test times from artifacts 2025-12-04T09:31:25.0602121Z Running all tests 2025-12-04T09:31:25.0606906Z Running parallel tests on 3 processes 2025-12-04T09:31:25.0608808Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:31:25.0609199Z Serial tests (0): 2025-12-04T09:31:25.0609610Z Parallel tests (19): 2025-12-04T09:31:25.0609863Z cpp/Dict_test 1/1 2025-12-04T09:31:25.0610127Z cpp/Dimname_test 1/1 2025-12-04T09:31:25.0610409Z cpp/NamedTensor_test 1/1 2025-12-04T09:31:25.0610687Z cpp/apply_utils_test 1/1 2025-12-04T09:31:25.0610961Z cpp/atest 1/1 2025-12-04T09:31:25.0611196Z cpp/basic 1/1 2025-12-04T09:31:25.0611442Z cpp/broadcast_test 1/1 2025-12-04T09:31:25.0611726Z cpp/cpu_generator_test 1/1 2025-12-04T09:31:25.0612022Z cpp/dlconvertor_test 1/1 2025-12-04T09:31:25.0612316Z cpp/extension_backend_test 1/1 2025-12-04T09:31:25.0612614Z cpp/lazy_tensor_test 1/1 2025-12-04T09:31:25.0612898Z cpp/legacy_vmap_test 1/1 2025-12-04T09:31:25.0613173Z cpp/native_test 1/1 2025-12-04T09:31:25.0613424Z cpp/operators_test 1/1 2025-12-04T09:31:25.0613702Z cpp/scalar_tensor_test 1/1 2025-12-04T09:31:25.0613993Z cpp/scalar_test 1/1 2025-12-04T09:31:25.0614337Z cpp/tensor_iterator_test 1/1 2025-12-04T09:31:25.0614793Z cpp/undefined_tensor_test 1/1 2025-12-04T09:31:25.0615165Z cpp/wrapdim_test 1/1 2025-12-04T09:31:25.0615560Z Name: excluded (est. time: 0.0min) 2025-12-04T09:31:25.0615985Z Serial tests (0): 2025-12-04T09:31:25.0616346Z Parallel tests (0): 2025-12-04T09:31:25.0616790Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:31:25.061370][2219.4910989] 2025-12-04T09:31:25.0617234Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.0617636Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.0618194Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:31:25.061551][2219.491283437], took 0.00min 2025-12-04T09:31:25.6144864Z Uploading artifacts took 0.54 seconds 2025-12-04T09:31:25.6145397Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:31:25.614331][2220.044058755] 2025-12-04T09:31:25.6145979Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.6146764Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.6147405Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:31:25.614526][2220.044257595], took 0.00min 2025-12-04T09:31:25.6237332Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:31:25.623557][2220.053288194] 2025-12-04T09:31:25.6238053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.6238735Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.6239363Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:31:25.623735][2220.053466428], took 0.00min 2025-12-04T09:31:25.6327070Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:31:25.632530][2220.062261954] 2025-12-04T09:31:25.6327605Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.6328113Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.6328695Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:31:25.632685][2220.062417374], took 0.00min 2025-12-04T09:31:25.6414193Z Running cpp/atest 1/1 ... [2025-12-04 09:31:25.641250][2220.07098199] 2025-12-04T09:31:25.6414673Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.6415557Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.6416090Z Finished cpp/atest 1/1 ... [2025-12-04 09:31:25.641417][2220.071149349], took 0.00min 2025-12-04T09:31:25.6501983Z Running cpp/basic 1/1 ... [2025-12-04 09:31:25.650036][2220.079767769] 2025-12-04T09:31:25.6502421Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.6503208Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.6503765Z Finished cpp/basic 1/1 ... [2025-12-04 09:31:25.650184][2220.079917303], took 0.00min 2025-12-04T09:31:25.6589142Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:31:25.658760][2220.088491772] 2025-12-04T09:31:25.6589656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.6590327Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.6591177Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:31:25.658906][2220.088638875], took 0.00min 2025-12-04T09:31:25.6676677Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:31:25.667484][2220.097215762] 2025-12-04T09:31:25.6677431Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.6678302Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.6679030Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:31:25.667638][2220.097370965], took 0.00min 2025-12-04T09:31:25.6764108Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:31:25.676202][2220.105933708] 2025-12-04T09:31:25.6764753Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.6765472Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.6766221Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:31:25.676364][2220.10609688], took 0.00min 2025-12-04T09:31:25.6852859Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:31:25.685058][2220.114789969] 2025-12-04T09:31:25.6853753Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.6854300Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.6854930Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:31:25.685209][2220.114940736], took 0.00min 2025-12-04T09:31:25.6939456Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:31:25.693737][2220.123469111] 2025-12-04T09:31:25.6940069Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.6940498Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.6941191Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:31:25.693883][2220.123616785], took 0.00min 2025-12-04T09:31:25.7030850Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:31:25.702885][2220.132616949] 2025-12-04T09:31:25.7031331Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.7032184Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.7032919Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:31:25.703051][2220.132784284], took 0.00min 2025-12-04T09:31:25.7119705Z Running cpp/native_test 1/1 ... [2025-12-04 09:31:25.711807][2220.141538862] 2025-12-04T09:31:25.7120302Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.7120797Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.7121362Z Finished cpp/native_test 1/1 ... [2025-12-04 09:31:25.711963][2220.141694902], took 0.00min 2025-12-04T09:31:25.7207226Z Running cpp/operators_test 1/1 ... [2025-12-04 09:31:25.720559][2220.150290889] 2025-12-04T09:31:25.7207816Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.7208300Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.7208885Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:31:25.720728][2220.150459733], took 0.00min 2025-12-04T09:31:25.7299307Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:31:25.729755][2220.15948638] 2025-12-04T09:31:25.7299922Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.7300413Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.7301028Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:31:25.729918][2220.159650096], took 0.00min 2025-12-04T09:31:25.7387978Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:31:25.738602][2220.168332568] 2025-12-04T09:31:25.7388594Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.7389184Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.7389736Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:31:25.738764][2220.168496988], took 0.00min 2025-12-04T09:31:25.7473926Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:31:25.747194][2220.176926181] 2025-12-04T09:31:25.7474664Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.7475361Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.7476062Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:31:25.747375][2220.177107146], took 0.00min 2025-12-04T09:31:25.7560052Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:31:25.755817][2220.185548314] 2025-12-04T09:31:25.7560957Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.7561547Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.7562161Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:31:25.755960][2220.185693309], took 0.00min 2025-12-04T09:31:25.7644857Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:31:25.764315][2220.194047049] 2025-12-04T09:31:25.7645430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:25.7646107Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:25.7646727Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:31:25.764474][2220.194206493], took 0.00min 2025-12-04T09:31:28.6043987Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:31:28.604008][2223.03373595] 2025-12-04T09:31:28.6044827Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:28.6045517Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:28.6046524Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:31:28.604198][2223.033929312], took 0.00min 2025-12-04T09:31:28.6199519Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:31:28.619555][2223.049282578] 2025-12-04T09:31:28.6200069Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:28.6200484Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:28.6201054Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:31:28.619773][2223.049503028], took 0.00min 2025-12-04T09:31:28.6400609Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:31:28.639709][2223.069435703] 2025-12-04T09:31:28.6401611Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:28.6402401Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:28.6403779Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:31:28.639906][2223.069638615], took 0.00min 2025-12-04T09:31:32.1172390Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:31:32.116822][2226.546549077] 2025-12-04T09:31:32.1173079Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:32.1173528Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:32.1174120Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:31:32.117028][2226.546759459], took 0.00min 2025-12-04T09:31:32.1177953Z Running cpp/atest 1/1 ... [2025-12-04 09:31:32.117563][2226.54729054] 2025-12-04T09:31:32.1178654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:32.1179391Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:32.1180048Z Finished cpp/atest 1/1 ... [2025-12-04 09:31:32.117759][2226.547490048], took 0.00min 2025-12-04T09:31:32.1408821Z Running cpp/basic 1/1 ... [2025-12-04 09:31:32.140536][2226.570263229] 2025-12-04T09:31:32.1409308Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:32.1410108Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:32.1410649Z Finished cpp/basic 1/1 ... [2025-12-04 09:31:32.140764][2226.570492795], took 0.00min 2025-12-04T09:31:35.6767789Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:31:35.676320][2230.106048302] 2025-12-04T09:31:35.6768803Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:35.6769625Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:35.6770788Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:31:35.676551][2230.106281015], took 0.00min 2025-12-04T09:31:35.7284735Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:31:35.728046][2230.157773018] 2025-12-04T09:31:35.7285637Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:35.7286339Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:35.7287302Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:31:35.728239][2230.157966211] 2025-12-04T09:31:35.7288363Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:31:35.728258][2230.157988941], took 0.00min 2025-12-04T09:31:35.7289253Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:35.7289956Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:35.7291367Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:31:35.728482][2230.158210295], took 0.00min 2025-12-04T09:31:39.2446157Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:31:39.244116][2233.673844189] 2025-12-04T09:31:39.2447196Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:39.2447943Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:39.2449058Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:31:39.244298][2233.674030893], took 0.00min 2025-12-04T09:31:39.2498596Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:31:39.249459][2233.67918631] 2025-12-04T09:31:39.2499532Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:39.2500284Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:39.2501411Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:31:39.249660][2233.679390657], took 0.00min 2025-12-04T09:31:39.2609193Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:31:39.260503][2233.690230063] 2025-12-04T09:31:39.2610199Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:39.2610970Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:39.2612143Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:31:39.260706][2233.690437237], took 0.00min 2025-12-04T09:31:42.7254013Z Running cpp/native_test 1/1 ... [2025-12-04 09:31:42.724933][2237.154660202] 2025-12-04T09:31:42.7254707Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:42.7255304Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:42.7255971Z Finished cpp/native_test 1/1 ... [2025-12-04 09:31:42.725115][2237.154846476], took 0.00min 2025-12-04T09:31:42.7622165Z Running cpp/operators_test 1/1 ... [2025-12-04 09:31:42.761792][2237.191519814] 2025-12-04T09:31:42.7622923Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:42.7623553Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:42.7624426Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:31:42.761991][2237.191721673], took 0.00min 2025-12-04T09:31:42.7629134Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:31:42.762549][2237.192276404] 2025-12-04T09:31:42.7629798Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:42.7630438Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:42.7631244Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:31:42.762755][2237.192485012], took 0.00min 2025-12-04T09:31:46.2702056Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:31:46.269817][2240.699544626] 2025-12-04T09:31:46.2703034Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:46.2703459Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:46.2704032Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:31:46.270044][2240.699774126], took 0.00min 2025-12-04T09:31:46.2984349Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:31:46.298072][2240.727799232] 2025-12-04T09:31:46.2985164Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:46.2985858Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:46.2986992Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:31:46.298282][2240.728011507], took 0.00min 2025-12-04T09:31:46.3097110Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:31:46.309378][2240.739106121] 2025-12-04T09:31:46.3097974Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:46.3099291Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:46.3100541Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:31:46.309596][2240.739327972], took 0.00min 2025-12-04T09:31:49.7995838Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:31:49.799124][2244.228851909] 2025-12-04T09:31:49.7996830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:49.7997516Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:31:49.7998448Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:31:49.799330][2244.22906221], took 0.00min 2025-12-04T09:31:50.5238683Z Running test batch 'tests to run' cost 25.46 seconds 2025-12-04T09:31:51.1891918Z + run_if_exists tensor_interop_test 2025-12-04T09:31:51.1893339Z + local test_name=tensor_interop_test 2025-12-04T09:31:51.1894267Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T09:31:51.1894889Z + echo 'Warning: tensor_interop_test does not exist.' 2025-12-04T09:31:51.1895511Z Warning: tensor_interop_test does not exist. 2025-12-04T09:31:51.1896078Z + run_if_exists cudnn_test 2025-12-04T09:31:51.1896504Z + local test_name=cudnn_test 2025-12-04T09:31:51.1896947Z + [[ -x build/bin/cudnn_test ]] 2025-12-04T09:31:51.1897486Z + echo 'Warning: cudnn_test does not exist.' 2025-12-04T09:31:51.1897963Z Warning: cudnn_test does not exist. 2025-12-04T09:31:51.1898460Z + run_if_exists cuda_generator_test 2025-12-04T09:31:51.1898916Z + local test_name=cuda_generator_test 2025-12-04T09:31:51.1899413Z + [[ -x build/bin/cuda_generator_test ]] 2025-12-04T09:31:51.1899936Z + echo 'Warning: cuda_generator_test does not exist.' 2025-12-04T09:31:51.1900570Z Warning: cuda_generator_test does not exist. 2025-12-04T09:31:51.1901173Z + run_if_exists apply_test 2025-12-04T09:31:51.1901702Z + local test_name=apply_test 2025-12-04T09:31:51.1902184Z + [[ -x build/bin/apply_test ]] 2025-12-04T09:31:51.1902544Z + echo 'Warning: apply_test does not exist.' 2025-12-04T09:31:51.1903102Z Warning: apply_test does not exist. 2025-12-04T09:31:51.1903402Z + run_if_exists stream_test 2025-12-04T09:31:51.1903685Z + local test_name=stream_test 2025-12-04T09:31:51.1903991Z + [[ -x build/bin/stream_test ]] 2025-12-04T09:31:51.1904297Z + echo 'Warning: stream_test does not exist.' 2025-12-04T09:31:51.1904647Z Warning: stream_test does not exist. 2025-12-04T09:31:51.1904964Z + run_if_exists cuda_half_test 2025-12-04T09:31:51.1905259Z + local test_name=cuda_half_test 2025-12-04T09:31:51.1905548Z + [[ -x build/bin/cuda_half_test ]] 2025-12-04T09:31:51.1905886Z + echo 'Warning: cuda_half_test does not exist.' 2025-12-04T09:31:51.1906247Z Warning: cuda_half_test does not exist. 2025-12-04T09:31:51.1906569Z + run_if_exists cuda_vectorized_test 2025-12-04T09:31:51.1906889Z + local test_name=cuda_vectorized_test 2025-12-04T09:31:51.1907225Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-12-04T09:31:51.1907588Z + echo 'Warning: cuda_vectorized_test does not exist.' 2025-12-04T09:31:51.1907986Z Warning: cuda_vectorized_test does not exist. 2025-12-04T09:31:51.1908341Z + run_if_exists cuda_distributions_test 2025-12-04T09:31:51.1908667Z + local test_name=cuda_distributions_test 2025-12-04T09:31:51.1909022Z + [[ -x build/bin/cuda_distributions_test ]] 2025-12-04T09:31:51.1909417Z + echo 'Warning: cuda_distributions_test does not exist.' 2025-12-04T09:31:51.1909841Z Warning: cuda_distributions_test does not exist. 2025-12-04T09:31:51.1910194Z + run_if_exists cuda_optional_test 2025-12-04T09:31:51.1910509Z + local test_name=cuda_optional_test 2025-12-04T09:31:51.1910833Z + [[ -x build/bin/cuda_optional_test ]] 2025-12-04T09:31:51.1911186Z + echo 'Warning: cuda_optional_test does not exist.' 2025-12-04T09:31:51.1911574Z Warning: cuda_optional_test does not exist. 2025-12-04T09:31:51.1911921Z + run_if_exists cuda_tensor_interop_test 2025-12-04T09:31:51.1912314Z + local test_name=cuda_tensor_interop_test 2025-12-04T09:31:51.1912662Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-12-04T09:31:51.1913063Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-12-04T09:31:51.1913483Z Warning: cuda_tensor_interop_test does not exist. 2025-12-04T09:31:51.1913831Z + run_if_exists cuda_complex_test 2025-12-04T09:31:51.1914162Z + local test_name=cuda_complex_test 2025-12-04T09:31:51.1914480Z + [[ -x build/bin/cuda_complex_test ]] 2025-12-04T09:31:51.1914823Z + echo 'Warning: cuda_complex_test does not exist.' 2025-12-04T09:31:51.1915201Z Warning: cuda_complex_test does not exist. 2025-12-04T09:31:51.1915547Z + run_if_exists cuda_complex_math_test 2025-12-04T09:31:51.1915863Z + local test_name=cuda_complex_math_test 2025-12-04T09:31:51.1916203Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-12-04T09:31:51.1916863Z + echo 'Warning: cuda_complex_math_test does not exist.' 2025-12-04T09:31:51.1917276Z Warning: cuda_complex_math_test does not exist. 2025-12-04T09:31:51.1917747Z + run_if_exists cuda_cub_test 2025-12-04T09:31:51.1918040Z + local test_name=cuda_cub_test 2025-12-04T09:31:51.1918338Z + [[ -x build/bin/cuda_cub_test ]] 2025-12-04T09:31:51.1918660Z + echo 'Warning: cuda_cub_test does not exist.' 2025-12-04T09:31:51.1919016Z Warning: cuda_cub_test does not exist. 2025-12-04T09:31:51.1919342Z + run_if_exists cuda_atomic_ops_test 2025-12-04T09:31:51.1919651Z + local test_name=cuda_atomic_ops_test 2025-12-04T09:31:51.1919978Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-12-04T09:31:51.1920350Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2025-12-04T09:31:51.1920735Z Warning: cuda_atomic_ops_test does not exist. 2025-12-04T09:31:51.1921089Z + run_if_exists cuda_allocator_test 2025-12-04T09:31:51.1921456Z + local test_name=cuda_allocator_test 2025-12-04T09:31:51.1921787Z + [[ -x build/bin/cuda_allocator_test ]] 2025-12-04T09:31:51.1922153Z + echo 'Warning: cuda_allocator_test does not exist.' 2025-12-04T09:31:51.1922549Z Warning: cuda_allocator_test does not exist. 2025-12-04T09:31:51.1922881Z + '[' ON == ON ']' 2025-12-04T09:31:51.1923573Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2025-12-04T09:31:51.2165034Z ==6358== Memcheck, a memory error detector 2025-12-04T09:31:51.2165921Z ==6358== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2025-12-04T09:31:51.2166929Z ==6358== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2025-12-04T09:31:51.2167812Z ==6358== Command: build/bin/basic --gtest_filter=-*CUDA 2025-12-04T09:31:51.2168398Z ==6358== 2025-12-04T09:31:51.5696998Z ==6358== Warning: set address range perms: large range [0x4a99000, 0x19af5000) (defined) 2025-12-04T09:31:51.5697704Z ==6358== Warning: set address range perms: large range [0x5aa0000, 0x16bd0000) (defined) 2025-12-04T09:32:19.6724319Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2025-12-04T09:32:19.7042044Z Note: Google Test filter = -*CUDA 2025-12-04T09:32:19.7116843Z [==========] Running 6 tests from 1 test suite. 2025-12-04T09:32:19.7133969Z [----------] Global test environment set-up. 2025-12-04T09:32:19.7196708Z [----------] 6 tests from BasicTest 2025-12-04T09:32:19.7222373Z [ RUN ] BasicTest.BasicTestCPU 2025-12-04T09:32:21.2575649Z 823 ms 2025-12-04T09:32:21.3603723Z 56 ms 2025-12-04T09:32:21.4915076Z 63 ms 2025-12-04T09:32:23.1000328Z [ OK ] BasicTest.BasicTestCPU (3375 ms) 2025-12-04T09:32:23.2482391Z [ RUN ] BasicTest.BasicTestHalfCPU 2025-12-04T09:32:23.5548952Z 262 ms 2025-12-04T09:32:23.6517635Z 44 ms 2025-12-04T09:32:23.7641318Z 60 ms 2025-12-04T09:32:23.8205428Z [ OK ] BasicTest.BasicTestHalfCPU (572 ms) 2025-12-04T09:32:23.8206208Z [ RUN ] BasicTest.FactoryMethodsTest 2025-12-04T09:32:23.8603988Z [ OK ] BasicTest.FactoryMethodsTest (39 ms) 2025-12-04T09:32:23.8604412Z [ RUN ] BasicTest.BasicStdTestCPU 2025-12-04T09:32:23.9387402Z Simple example: called once 2025-12-04T09:32:24.0258000Z Didn't throw, call_once will not attempt again 2025-12-04T09:32:24.0656561Z [ OK ] BasicTest.BasicStdTestCPU (205 ms) 2025-12-04T09:32:24.0657315Z [ RUN ] BasicTest.TestForBlobResizeCPU 2025-12-04T09:32:24.0873165Z [ OK ] BasicTest.TestForBlobResizeCPU (21 ms) 2025-12-04T09:32:24.0873953Z [ RUN ] BasicTest.TestForBlobStridesResizeCPU 2025-12-04T09:32:24.0917099Z [ OK ] BasicTest.TestForBlobStridesResizeCPU (4 ms) 2025-12-04T09:32:24.0937553Z [----------] 6 tests from BasicTest (4370 ms total) 2025-12-04T09:32:24.0938047Z 2025-12-04T09:32:24.0951240Z [----------] Global test environment tear-down 2025-12-04T09:32:24.0976721Z [==========] 6 tests from 1 test suite ran. (4397 ms total) 2025-12-04T09:32:24.0990505Z [ PASSED ] 6 tests. 2025-12-04T09:32:26.0627120Z ==6358== 2025-12-04T09:32:26.0631648Z ==6358== HEAP SUMMARY: 2025-12-04T09:32:26.0632205Z ==6358== in use at exit: 433,184 bytes in 6,424 blocks 2025-12-04T09:32:26.0633291Z ==6358== total heap usage: 652,017 allocs, 645,593 frees, 198,248,495 bytes allocated 2025-12-04T09:32:26.0634045Z ==6358== 2025-12-04T09:32:26.1662482Z ==6358== LEAK SUMMARY: 2025-12-04T09:32:26.1663050Z ==6358== definitely lost: 0 bytes in 0 blocks 2025-12-04T09:32:26.1663741Z ==6358== indirectly lost: 0 bytes in 0 blocks 2025-12-04T09:32:26.1664416Z ==6358== possibly lost: 70,928 bytes in 5 blocks 2025-12-04T09:32:26.1665124Z ==6358== still reachable: 362,256 bytes in 6,419 blocks 2025-12-04T09:32:26.1665826Z ==6358== suppressed: 0 bytes in 0 blocks 2025-12-04T09:32:26.1666616Z ==6358== Rerun with --leak-check=full to see details of leaked memory 2025-12-04T09:32:26.1667372Z ==6358== 2025-12-04T09:32:26.1667939Z ==6358== For lists of detected and suppressed errors, rerun with: -s 2025-12-04T09:32:26.1668883Z ==6358== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2025-12-04T09:32:26.2144554Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T09:32:26.2146294Z + [[ -n '' ]] 2025-12-04T09:32:26.2146640Z + assert_git_not_dirty 2025-12-04T09:32:26.2146978Z + [[ linux-jammy-py3.10-gcc11 != *rocm* ]] 2025-12-04T09:32:26.2147330Z + [[ linux-jammy-py3.10-gcc11 != *xla* ]] 2025-12-04T09:32:26.2154108Z ++ git status --porcelain 2025-12-04T09:32:26.2154609Z ++ grep -v '?? third_party' 2025-12-04T09:32:26.5107553Z ++ true 2025-12-04T09:32:26.5109184Z + git_status= 2025-12-04T09:32:26.5109591Z + [[ -n '' ]] 2025-12-04T09:32:26.5110057Z + test_libtorch 1 2025-12-04T09:32:26.5110304Z + local SHARD=1 2025-12-04T09:32:26.5110546Z + [[ default != \s\l\o\w ]] 2025-12-04T09:32:26.5110827Z + echo 'Testing libtorch' 2025-12-04T09:32:26.5111094Z Testing libtorch 2025-12-04T09:32:26.5111891Z + 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 2025-12-04T09:32:26.5123020Z + 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 2025-12-04T09:32:26.5133652Z + 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 2025-12-04T09:32:26.5145742Z + 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 2025-12-04T09:32:26.5157166Z + 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 2025-12-04T09:32:26.5169911Z + 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 2025-12-04T09:32:26.5179136Z + 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 2025-12-04T09:32:26.5189138Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:32:26.5190089Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:32:26.5190535Z + [[ -z 1 ]] 2025-12-04T09:32:26.5190753Z + [[ 1 == \1 ]] 2025-12-04T09:32:26.5190985Z + test_libtorch_api 2025-12-04T09:32:26.5191300Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T09:32:26.5192112Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T09:32:26.5681692Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ... 2025-12-04T09:32:26.9241284Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ... 2025-12-04T09:32:26.9661185Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ... 2025-12-04T09:32:27.0587121Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ... 2025-12-04T09:32:27.1094926Z + [[ linux-jammy-py3.10-gcc11 == *asan* ]] 2025-12-04T09:32:27.1095591Z + [[ linux-jammy-py3.10-gcc11 == *slow-gradcheck* ]] 2025-12-04T09:32:27.1096236Z + OMP_NUM_THREADS=2 2025-12-04T09:32:27.1096920Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T09:32:27.1097790Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest' 2025-12-04T09:32:31.8871154Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:32:31.8973540Z Found test times from artifacts 2025-12-04T09:32:31.9356697Z Found test times from artifacts 2025-12-04T09:32:31.9369215Z Running all tests 2025-12-04T09:32:31.9372869Z Running parallel tests on 3 processes 2025-12-04T09:32:31.9373561Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:32:31.9373883Z Serial tests (0): 2025-12-04T09:32:31.9374142Z Parallel tests (1): 2025-12-04T09:32:31.9374451Z cpp/test_api 1/1 2025-12-04T09:32:31.9374719Z Name: excluded (est. time: 0.0min) 2025-12-04T09:32:31.9375003Z Serial tests (0): 2025-12-04T09:32:31.9375250Z Parallel tests (0): 2025-12-04T09:32:31.9379052Z Running cpp/test_api 1/1 ... [2025-12-04 09:32:31.937722][2286.367450603] 2025-12-04T09:32:31.9379549Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:31.9380546Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:32:31.9381131Z Finished cpp/test_api 1/1 ... [2025-12-04 09:32:31.937921][2286.367652584], took 0.00min 2025-12-04T09:32:32.3344277Z Uploading artifacts took 0.39 seconds 2025-12-04T09:32:35.0893850Z Running cpp/test_api 1/1 ... [2025-12-04 09:32:35.088912][2289.518640083] 2025-12-04T09:32:35.0894683Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:35.0895387Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:32:35.0896293Z Finished cpp/test_api 1/1 ... [2025-12-04 09:32:35.089112][2289.51884453], took 0.00min 2025-12-04T09:32:35.8321200Z Running test batch 'tests to run' cost 3.89 seconds 2025-12-04T09:32:36.4587539Z + [[ linux-jammy-py3.10-gcc11 != *android* ]] 2025-12-04T09:32:36.4587974Z + [[ linux-jammy-py3.10-gcc11 != *cuda* ]] 2025-12-04T09:32:36.4588322Z + [[ linux-jammy-py3.10-gcc11 != *asan* ]] 2025-12-04T09:32:36.4588656Z + [[ linux-jammy-py3.10-gcc11 != *s390x* ]] 2025-12-04T09:32:36.4588997Z + export CPP_TESTS_DIR=build/bin 2025-12-04T09:32:36.4589301Z + CPP_TESTS_DIR=build/bin 2025-12-04T09:32:36.4589724Z + python test/run_test.py --cpp --verbose -i cpp/static_runtime_test 2025-12-04T09:32:41.1742172Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:32:41.1841419Z Found test times from artifacts 2025-12-04T09:32:41.2224230Z Found test times from artifacts 2025-12-04T09:32:41.2236860Z Running all tests 2025-12-04T09:32:41.2240185Z Running parallel tests on 3 processes 2025-12-04T09:32:41.2240607Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:32:41.2241014Z Serial tests (0): 2025-12-04T09:32:41.2241276Z Parallel tests (1): 2025-12-04T09:32:41.2241530Z cpp/static_runtime_test 1/1 2025-12-04T09:32:41.2241910Z Name: excluded (est. time: 0.0min) 2025-12-04T09:32:41.2242223Z Serial tests (0): 2025-12-04T09:32:41.2242484Z Parallel tests (0): 2025-12-04T09:32:41.2242920Z Running cpp/static_runtime_test 1/1 ... [2025-12-04 09:32:41.224135][2295.65386577] 2025-12-04T09:32:41.2244227Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:41.2244641Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:32:41.2245413Z Finished cpp/static_runtime_test 1/1 ... [2025-12-04 09:32:41.224323][2295.654055012], took 0.00min 2025-12-04T09:32:41.7288161Z Uploading artifacts took 0.50 seconds 2025-12-04T09:32:44.5198439Z Running cpp/static_runtime_test 1/1 ... [2025-12-04 09:32:44.519273][2298.949000197] 2025-12-04T09:32:44.5199431Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:44.5200180Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:32:44.5201323Z Finished cpp/static_runtime_test 1/1 ... [2025-12-04 09:32:44.519461][2298.949192458], took 0.00min 2025-12-04T09:32:45.2291925Z Running test batch 'tests to run' cost 4.0 seconds 2025-12-04T09:32:45.9017542Z + [[ -z 1 ]] 2025-12-04T09:32:45.9017969Z + [[ 1 == \2 ]] 2025-12-04T09:32:45.9018216Z + assert_git_not_dirty 2025-12-04T09:32:45.9018499Z + [[ linux-jammy-py3.10-gcc11 != *rocm* ]] 2025-12-04T09:32:45.9018890Z + [[ linux-jammy-py3.10-gcc11 != *xla* ]] 2025-12-04T09:32:45.9023599Z ++ git status --porcelain 2025-12-04T09:32:45.9024140Z ++ grep -v '?? third_party' 2025-12-04T09:32:46.1999375Z ++ true 2025-12-04T09:32:46.1999694Z + git_status= 2025-12-04T09:32:46.2000055Z + [[ -n '' ]] 2025-12-04T09:32:46.2000378Z + [[ linux-jammy-py3.10-gcc11 == *xpu* ]] 2025-12-04T09:32:46.2000852Z + sccache_epilogue 2025-12-04T09:32:46.2001229Z + echo '::group::Sccache Compilation Log' 2025-12-04T09:32:46.2001862Z ##[group]Sccache Compilation Log 2025-12-04T09:32:46.2002212Z + echo '=================== sccache compilation log ===================' 2025-12-04T09:32:46.2002823Z =================== sccache compilation log =================== 2025-12-04T09:32:46.2003468Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T09:32:46.2190851Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T09:32:46.2191995Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T09:32:46.2192525Z + sccache --show-stats 2025-12-04T09:32:46.2225597Z Compile requests 194 2025-12-04T09:32:46.2226285Z Compile requests executed 58 2025-12-04T09:32:46.2226716Z Cache hits 21 2025-12-04T09:32:46.2227182Z Cache hits (C/C++) 21 2025-12-04T09:32:46.2227804Z Cache misses 37 2025-12-04T09:32:46.2228178Z Cache misses (C/C++) 37 2025-12-04T09:32:46.2228573Z Cache hits rate 36.21 % 2025-12-04T09:32:46.2228967Z Cache hits rate (C/C++) 36.21 % 2025-12-04T09:32:46.2229379Z Cache timeouts 0 2025-12-04T09:32:46.2229706Z Cache read errors 0 2025-12-04T09:32:46.2230016Z Forced recaches 0 2025-12-04T09:32:46.2230340Z Cache write errors 0 2025-12-04T09:32:46.2230761Z Cache errors 0 2025-12-04T09:32:46.2231074Z Compilations 37 2025-12-04T09:32:46.2231413Z Compilation failures 0 2025-12-04T09:32:46.2231758Z Non-cacheable compilations 0 2025-12-04T09:32:46.2232080Z Non-cacheable calls 0 2025-12-04T09:32:46.2232417Z Non-compilation calls 136 2025-12-04T09:32:46.2232752Z Unsupported compiler calls 0 2025-12-04T09:32:46.2233093Z Average cache write 0.047 s 2025-12-04T09:32:46.2233415Z Average compiler 13.343 s 2025-12-04T09:32:46.2233749Z Average cache read hit 0.099 s 2025-12-04T09:32:46.2234090Z Failed distributed compilations 0 2025-12-04T09:32:46.2234601Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:32:46.2235071Z Version (client) 0.10.0 2025-12-04T09:32:46.2235387Z + sccache --stop-server 2025-12-04T09:32:46.2249184Z Stopping sccache server... 2025-12-04T09:32:46.2252284Z Compile requests 194 2025-12-04T09:32:46.2252907Z Compile requests executed 58 2025-12-04T09:32:46.2253247Z Cache hits 21 2025-12-04T09:32:46.2253554Z Cache hits (C/C++) 21 2025-12-04T09:32:46.2253873Z Cache misses 37 2025-12-04T09:32:46.2254191Z Cache misses (C/C++) 37 2025-12-04T09:32:46.2254505Z Cache hits rate 36.21 % 2025-12-04T09:32:46.2254837Z Cache hits rate (C/C++) 36.21 % 2025-12-04T09:32:46.2255270Z Cache timeouts 0 2025-12-04T09:32:46.2255758Z Cache read errors 0 2025-12-04T09:32:46.2256254Z Forced recaches 0 2025-12-04T09:32:46.2256699Z Cache write errors 0 2025-12-04T09:32:46.2257096Z Cache errors 0 2025-12-04T09:32:46.2257401Z Compilations 37 2025-12-04T09:32:46.2257736Z Compilation failures 0 2025-12-04T09:32:46.2258075Z Non-cacheable compilations 0 2025-12-04T09:32:46.2258405Z Non-cacheable calls 0 2025-12-04T09:32:46.2258739Z Non-compilation calls 136 2025-12-04T09:32:46.2259077Z Unsupported compiler calls 0 2025-12-04T09:32:46.2259400Z Average cache write 0.047 s 2025-12-04T09:32:46.2259734Z Average compiler 13.343 s 2025-12-04T09:32:46.2260069Z Average cache read hit 0.099 s 2025-12-04T09:32:46.2260401Z Failed distributed compilations 0 2025-12-04T09:32:46.2260869Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:32:46.2261340Z Version (client) 0.10.0 2025-12-04T09:32:46.2261682Z + echo ::endgroup:: 2025-12-04T09:32:46.2262183Z ##[endgroup] 2025-12-04T09:32:46.2262403Z + cleanup_workspace 2025-12-04T09:32:46.2262914Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T09:32:46.2263874Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T09:32:46.2264689Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T09:32:46.2265397Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T09:32:46.2266211Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T09:32:46.2267069Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T09:32:46.2267759Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T09:32:49.5894302Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T09:32:49.5894793Z with: 2025-12-04T09:32:49.5895056Z benchmark-results-dir: test/test-reports 2025-12-04T09:32:49.5895375Z dry-run: false 2025-12-04T09:32:49.5895616Z schema-version: v3 2025-12-04T09:32:49.5896097Z github-token: *** 2025-12-04T09:32:49.5896331Z env: 2025-12-04T09:32:49.5896538Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:49.5896813Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:49.5897277Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:49.5897780Z ##[endgroup] 2025-12-04T09:32:49.5915518Z ##[group]Run set -eux 2025-12-04T09:32:49.5915808Z set -eux 2025-12-04T09:32:49.5916043Z  2025-12-04T09:32:49.5916254Z if [[ -n "" ]]; then 2025-12-04T09:32:49.5916533Z  source "" 2025-12-04T09:32:49.5916882Z fi 2025-12-04T09:32:49.5917286Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:32:49.5917924Z  2025-12-04T09:32:49.5918150Z DEVICE_NAME="" 2025-12-04T09:32:49.5918424Z DEVICE_TYPE="" 2025-12-04T09:32:49.5918685Z  2025-12-04T09:32:49.5918918Z if command -v nvidia-smi; then 2025-12-04T09:32:49.5919514Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T09:32:49.5920114Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T09:32:49.5920664Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T09:32:49.5921112Z  python3 -mpip install torch==2.7.1 2025-12-04T09:32:49.5921469Z elif command -v rocminfo; then 2025-12-04T09:32:49.5921924Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T09:32:49.5922485Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T09:32:49.5923064Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T09:32:49.5923569Z  # GPU device name coming from rocminfo instead 2025-12-04T09:32:49.5923930Z  DEVICE_NAME=rocm 2025-12-04T09:32:49.5924525Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T09:32:49.5925051Z fi 2025-12-04T09:32:49.5925271Z  2025-12-04T09:32:49.5925538Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T09:32:49.5925964Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T09:32:49.5935732Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:32:49.5936110Z env: 2025-12-04T09:32:49.5936334Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:49.5936613Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:49.5937063Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:49.5937589Z ##[endgroup] 2025-12-04T09:32:49.5971431Z + [[ -n '' ]] 2025-12-04T09:32:49.5972085Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:32:49.8523672Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:32:50.9840487Z Collecting boto3==1.35.33 2025-12-04T09:32:51.0008645Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T09:32:51.3304352Z Collecting psutil==7.0.0 2025-12-04T09:32:51.3342558Z 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) 2025-12-04T09:32:51.3675461Z Collecting pynvml==12.0.0 2025-12-04T09:32:51.3712190Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T09:32:51.4205684Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T09:32:51.4243890Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T09:32:52.6667601Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T09:32:52.6751479Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T09:32:52.8211238Z 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) 2025-12-04T09:32:52.8665143Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T09:32:52.8702222Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T09:32:52.8802485Z 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) 2025-12-04T09:32:52.8813038Z 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) 2025-12-04T09:32:53.1331073Z 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) 2025-12-04T09:32:53.2720877Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T09:32:53.7891079Z Attempting uninstall: nvidia-ml-py 2025-12-04T09:32:53.7892560Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T09:32:53.7912581Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T09:32:53.8139663Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T09:32:53.8774305Z Attempting uninstall: psutil 2025-12-04T09:32:53.8775363Z Found existing installation: psutil 5.9.8 2025-12-04T09:32:53.8850185Z Uninstalling psutil-5.9.8: 2025-12-04T09:32:53.8857131Z Successfully uninstalled psutil-5.9.8 2025-12-04T09:32:54.0548478Z 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 2025-12-04T09:32:54.1657644Z + DEVICE_NAME= 2025-12-04T09:32:54.1658106Z + DEVICE_TYPE= 2025-12-04T09:32:54.1658492Z + command -v nvidia-smi 2025-12-04T09:32:54.1658912Z + command -v rocminfo 2025-12-04T09:32:54.1659369Z + echo DEVICE_NAME= 2025-12-04T09:32:54.1659655Z + echo DEVICE_TYPE= 2025-12-04T09:32:54.1682816Z ##[group]Run set -eux 2025-12-04T09:32:54.1683084Z set -eux 2025-12-04T09:32:54.1683318Z  2025-12-04T09:32:54.1683563Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T09:32:54.1683916Z  echo "Missing github-token input" 2025-12-04T09:32:54.1684244Z  exit 1 2025-12-04T09:32:54.1684485Z fi 2025-12-04T09:32:54.1691330Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:32:54.1691721Z env: 2025-12-04T09:32:54.1691948Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:54.1692215Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:54.1692681Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:54.1693203Z DEVICE_NAME: 2025-12-04T09:32:54.1693439Z DEVICE_TYPE: 2025-12-04T09:32:54.1693881Z GITHUB_TOKEN: *** 2025-12-04T09:32:54.1694120Z ##[endgroup] 2025-12-04T09:32:54.1720068Z + [[ -z *** ]] 2025-12-04T09:32:54.1768239Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T09:32:54.1768686Z with: 2025-12-04T09:32:54.1769057Z github-token: *** 2025-12-04T09:32:54.1769280Z env: 2025-12-04T09:32:54.1769507Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:54.1769789Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:54.1770244Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:54.1770781Z DEVICE_NAME: 2025-12-04T09:32:54.1771012Z DEVICE_TYPE: 2025-12-04T09:32:54.1771226Z ##[endgroup] 2025-12-04T09:32:54.1784989Z ##[group]Run set -eux 2025-12-04T09:32:54.1785248Z set -eux 2025-12-04T09:32:54.1785479Z  2025-12-04T09:32:54.1785970Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:32:54.1791835Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:32:54.1792227Z env: 2025-12-04T09:32:54.1792451Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:54.1792716Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:54.1793336Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:54.1793865Z DEVICE_NAME: 2025-12-04T09:32:54.1794100Z DEVICE_TYPE: 2025-12-04T09:32:54.1794547Z GITHUB_TOKEN: *** 2025-12-04T09:32:54.1794793Z ##[endgroup] 2025-12-04T09:32:54.1819762Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922814090 i-07ec34d4429e531a0 2025-12-04T09:32:56.5411142Z setting job-id=57116258310 2025-12-04T09:32:56.5411754Z setting job-name=linux-jammy-py3.10-gcc11 / test (default, 1, 5, linux.2xlarge, rerun_disabled_tests) 2025-12-04T09:32:56.5522621Z ##[group]Run set -eux 2025-12-04T09:32:56.5522916Z set -eux 2025-12-04T09:32:56.5523142Z  2025-12-04T09:32:56.5523371Z if [[ -n "" ]]; then 2025-12-04T09:32:56.5523662Z  source "" 2025-12-04T09:32:56.5523894Z fi 2025-12-04T09:32:56.5524128Z  2025-12-04T09:32:56.5524545Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T09:32:56.5525074Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T09:32:56.5525441Z  --repo "${REPO}" \ 2025-12-04T09:32:56.5525759Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T09:32:56.5526244Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T09:32:56.5526584Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T09:32:56.5526966Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T09:32:56.5527310Z  --job-id "${JOB_ID}" \ 2025-12-04T09:32:56.5527612Z  --job-name "${JOB_NAME}" 2025-12-04T09:32:56.5533604Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:32:56.5533997Z env: 2025-12-04T09:32:56.5534212Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:56.5534491Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:56.5534956Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:56.5535497Z DEVICE_NAME: 2025-12-04T09:32:56.5535719Z DEVICE_TYPE: 2025-12-04T09:32:56.5535952Z SCHEMA_VERSION: v3 2025-12-04T09:32:56.5536213Z REPO: pytorch/pytorch 2025-12-04T09:32:56.5536473Z HEAD_BRANCH: refs/heads/main 2025-12-04T09:32:56.5536812Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:32:56.5537183Z WORKFLOW_RUN_ID: 19922814090 2025-12-04T09:32:56.5537444Z RUN_ATTEMPT: 1 2025-12-04T09:32:56.5537676Z JOB_ID: 57116258310 2025-12-04T09:32:56.5538134Z JOB_NAME: linux-jammy-py3.10-gcc11 / test (default, 1, 5, linux.2xlarge, rerun_disabled_tests) 2025-12-04T09:32:56.5538652Z ##[endgroup] 2025-12-04T09:32:56.5562789Z + [[ -n '' ]] 2025-12-04T09:32:56.5565306Z + 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 57116258310 --job-name 'linux-jammy-py3.10-gcc11 / test (default, 1, 5, linux.2xlarge, rerun_disabled_tests)' 2025-12-04T09:32:56.5881319Z ##[group]Run set -eux 2025-12-04T09:32:56.5881604Z set -eux 2025-12-04T09:32:56.5881826Z  2025-12-04T09:32:56.5882074Z if [[ -n "" ]]; then 2025-12-04T09:32:56.5882361Z  source "" 2025-12-04T09:32:56.5882591Z fi 2025-12-04T09:32:56.5882805Z  2025-12-04T09:32:56.5883207Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T09:32:56.5889550Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:32:56.5889940Z env: 2025-12-04T09:32:56.5890165Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:56.5890430Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:56.5890896Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:56.5891441Z DEVICE_NAME: 2025-12-04T09:32:56.5891809Z DEVICE_TYPE: 2025-12-04T09:32:56.5892027Z ##[endgroup] 2025-12-04T09:32:56.5914831Z + [[ -n '' ]] 2025-12-04T09:32:56.5915672Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T09:32:56.6328338Z INFO:root:Fail to import torch to get the device name 2025-12-04T09:32:56.6431974Z ##[group]Run set -eux 2025-12-04T09:32:56.6432242Z set -eux 2025-12-04T09:32:56.6432482Z  2025-12-04T09:32:56.6432745Z # TODO (huydhn): Implement this part 2025-12-04T09:32:56.6433131Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:32:56.6439117Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:32:56.6439509Z env: 2025-12-04T09:32:56.6439718Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:56.6439994Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:56.6440476Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:56.6440995Z DEVICE_NAME: 2025-12-04T09:32:56.6441213Z DEVICE_TYPE: 2025-12-04T09:32:56.6441441Z ##[endgroup] 2025-12-04T09:32:56.6464381Z + echo 'dependencies={}' 2025-12-04T09:32:56.6484702Z ##[group]Run set -eux 2025-12-04T09:32:56.6484992Z set -eux 2025-12-04T09:32:56.6485372Z  2025-12-04T09:32:56.6485594Z if [[ -n "" ]]; then 2025-12-04T09:32:56.6486098Z  source "" 2025-12-04T09:32:56.6486342Z fi 2025-12-04T09:32:56.6486562Z  2025-12-04T09:32:56.6486820Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T09:32:56.6487274Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T09:32:56.6487780Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T09:32:56.6488252Z  exit 0 2025-12-04T09:32:56.6488469Z fi 2025-12-04T09:32:56.6488683Z  2025-12-04T09:32:56.6488933Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T09:32:56.6489409Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:32:56.6489985Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:32:56.6490433Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:32:56.6490804Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:32:56.6491151Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T09:32:56.6491490Z  --dry-run 2025-12-04T09:32:56.6491742Z else 2025-12-04T09:32:56.6492118Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:32:56.6492685Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:32:56.6493123Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:32:56.6493487Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:32:56.6493828Z  --dependencies "${DEPENDENCIES}" 2025-12-04T09:32:56.6494160Z fi 2025-12-04T09:32:56.6499601Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:32:56.6499977Z env: 2025-12-04T09:32:56.6500202Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:56.6500478Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:56.6500931Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:56.6501455Z DEVICE_NAME: 2025-12-04T09:32:56.6501685Z DEVICE_TYPE: 2025-12-04T09:32:56.6501936Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T09:32:56.6502260Z DRY_RUN: false 2025-12-04T09:32:56.6503859Z BENCHMARK_METADATA: {"timestamp": 1764840776, "schema_version": "v3", "name": "linux-jammy-py3.10-gcc11 / test (default, 1, 5, linux.2xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922814090, "run_attempt": 1, "job_id": 57116258310} 2025-12-04T09:32:56.6505793Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-4-54.ec2.internal"}, "name": "", "type": ""}] 2025-12-04T09:32:56.6506453Z DEPENDENCIES: {} 2025-12-04T09:32:56.6506681Z ##[endgroup] 2025-12-04T09:32:56.6529706Z + [[ -n '' ]] 2025-12-04T09:32:56.6530030Z + [[ ! -d test/test-reports ]] 2025-12-04T09:32:56.6530379Z + [[ false == \t\r\u\e ]] 2025-12-04T09:32:56.6533248Z + 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": 1764840776, "schema_version": "v3", "name": "linux-jammy-py3.10-gcc11 / test (default, 1, 5, linux.2xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922814090, "run_attempt": 1, "job_id": 57116258310}' --runners '[{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-4-54.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-12-04T09:32:56.8325112Z /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-a048e14b5b911bb06109.json is not a benchmark record, skipping 2025-12-04T09:32:56.8327130Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:32:56.8428176Z /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-f7f3beb22cf0931b707d.json is not a benchmark record, skipping 2025-12-04T09:32:56.8507848Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:32:56.8511764Z /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-87994454e70325636113.json is not a benchmark record, skipping 2025-12-04T09:32:56.8515669Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:32:56.8517421Z /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-d84fe133230750103541.json is not a benchmark record, skipping 2025-12-04T09:32:56.8519159Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:32:56.8520861Z /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-2128cabad4674e35084b.json is not a benchmark record, skipping 2025-12-04T09:32:56.8522561Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:32:56.8588744Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T09:32:56.8589163Z cat test/**/*_toprint.log || true 2025-12-04T09:32:56.8595087Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:32:56.8595477Z env: 2025-12-04T09:32:56.8595702Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:56.8595981Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:56.8596436Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:56.8597067Z DEVICE_NAME: 2025-12-04T09:32:56.8597302Z DEVICE_TYPE: 2025-12-04T09:32:56.8597519Z ##[endgroup] 2025-12-04T09:32:56.8686888Z Test results will be stored in test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-2d5317130d53bad6.xml 2025-12-04T09:32:56.8687638Z ============================= test session starts ============================== 2025-12-04T09:32:56.8688435Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:32:56.8688973Z cachedir: .pytest_cache 2025-12-04T09:32:56.8689603Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:32:56.8690307Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:32:56.8690624Z configfile: pytest.ini 2025-12-04T09:32:56.8691254Z 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 2025-12-04T09:32:56.8691953Z collecting ... collected 2 items 2025-12-04T09:32:56.8692317Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:32:56.8692684Z Running 0 items in this shard: 2025-12-04T09:32:56.8692887Z 2025-12-04T09:32:56.8693510Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-2d5317130d53bad6.xml - 2025-12-04T09:32:56.8694403Z ============================ no tests ran in 0.01s ============================= 2025-12-04T09:32:56.8718300Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:32:56.8718675Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:32:56.8724089Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:32:56.8724483Z env: 2025-12-04T09:32:56.8724709Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:56.8724991Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:56.8725448Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:56.8725973Z DEVICE_NAME: 2025-12-04T09:32:56.8726205Z DEVICE_TYPE: 2025-12-04T09:32:56.8726447Z MONITOR_SCRIPT_PID: 42928 2025-12-04T09:32:56.8726707Z ##[endgroup] 2025-12-04T09:32:56.8749422Z /home/ec2-user/actions-runner/_work/_temp/7d12c728-8f5f-47b3-af4a-435ec8b8ec81.sh: line 1: kill: (42928) - No such process 2025-12-04T09:32:56.8759515Z ##[error]Process completed with exit code 1. 2025-12-04T09:32:56.8899032Z Prepare all required actions 2025-12-04T09:32:56.8899454Z Getting action download info 2025-12-04T09:32:57.0656562Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:32:57.3445900Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T09:32:57.8020390Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T09:32:57.8020752Z with: 2025-12-04T09:32:57.8021055Z file-suffix: test-default-1-5-linux.2xlarge_57116258310 2025-12-04T09:32:57.8021443Z s3-bucket: gha-artifacts 2025-12-04T09:32:57.8021725Z env: 2025-12-04T09:32:57.8021933Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:57.8022213Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:57.8022681Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:57.8023204Z DEVICE_NAME: 2025-12-04T09:32:57.8023428Z DEVICE_TYPE: 2025-12-04T09:32:57.8023701Z ##[endgroup] 2025-12-04T09:32:57.8047857Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T09:32:57.8048322Z # Remove any previous test jsons if they exist 2025-12-04T09:32:57.8048711Z rm -f test-jsons-*.zip 2025-12-04T09:32:57.8049149Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T09:32:57.8055251Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:32:57.8055623Z env: 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test-default-1-5-linux.2xlarge_57116258310 2025-12-04T09:32:57.8335727Z ##[endgroup] 2025-12-04T09:32:57.8419915Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-a5e846762134351d.xml (deflated 28%) 2025-12-04T09:32:57.8420986Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-adbfd7b15c9765ea.xml (deflated 28%) 2025-12-04T09:32:57.8422123Z adding: test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-06a33435f5896ec2.xml (deflated 28%) 2025-12-04T09:32:57.8424271Z adding: test/test-reports/python-pytest/test_torch/test_torch-134b805aed7ec66f.xml (deflated 98%) 2025-12-04T09:32:57.8426496Z adding: test/test-reports/python-pytest/test_utils/test_utils-7d229b3929ac25fb.xml (deflated 99%) 2025-12-04T09:32:57.8427434Z adding: test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-2d5317130d53bad6.xml (deflated 29%) 2025-12-04T09:32:57.8445348Z adding: 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2025-12-04T09:32:57.8537949Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:57.8538414Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:57.8538935Z DEVICE_NAME: 2025-12-04T09:32:57.8539156Z DEVICE_TYPE: 2025-12-04T09:32:57.8539470Z FILE_SUFFIX: test-default-1-5-linux.2xlarge_57116258310 2025-12-04T09:32:57.8539836Z ##[endgroup] 2025-12-04T09:32:57.8588744Z adding: usage_log.txt (deflated 58%) 2025-12-04T09:32:57.8616249Z adding: test/test-reports/lazy.test_ts_opinfo_1.1_38bba8a59989c60a_.log (deflated 49%) 2025-12-04T09:32:57.8617025Z adding: test/test-reports/lazy.test_ts_opinfo_1.1_9b68f3e15c3a89d0_.log (deflated 49%) 2025-12-04T09:32:57.8617762Z adding: test/test-reports/dynamo.test_fake_distributed_1.1_e67d05b4b4278117_.log (deflated 50%) 2025-12-04T09:32:57.8620029Z adding: test/test-reports/test_torch_1.1_1f66877291e2120f_.log (deflated 97%) 2025-12-04T09:32:57.8621700Z adding: test/test-reports/test_utils_1.1_174402904b8abcc7_.log 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test/test-reports/test_reductions_1.1_d52f7df4b6f97a81_.log (deflated 95%) 2025-12-04T09:32:57.8631322Z adding: test/test-reports/test_spectral_ops_1.1_49d4a6413f322709_.log (deflated 49%) 2025-12-04T09:32:57.8632110Z adding: test/test-reports/inductor.test_max_autotune_1.1_d444b8b9719c5100_.log (stored 0%) 2025-12-04T09:32:57.8632953Z adding: test/test-reports/inductor.test_flex_attention_1.5_7f50cd6db75433fc_.log (deflated 50%) 2025-12-04T09:32:57.8633806Z adding: test/test-reports/inductor.test_flex_attention_2.5_2b1020451c1987cf_.log (deflated 50%) 2025-12-04T09:32:57.8634662Z adding: test/test-reports/inductor.test_flex_attention_3.5_a01e3b09641bac7b_.log (deflated 50%) 2025-12-04T09:32:57.8635534Z adding: test/test-reports/inductor.test_flex_attention_4.5_9a0ef18f6f25ff3b_.log (deflated 50%) 2025-12-04T09:32:57.8636371Z adding: test/test-reports/inductor.test_flex_attention_5.5_33979a2e12251911_.log (deflated 50%) 2025-12-04T09:32:57.8637291Z adding: 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test/test-reports/test_tensorexpr_1.1_26c43cb56012933b_.log (deflated 48%) 2025-12-04T09:32:57.8646097Z adding: test/test-reports/test_namedtuple_return_api_1.1_866e7199b3bc3c98_.log (deflated 50%) 2025-12-04T09:32:57.8646798Z adding: test/test-reports/test_fake_tensor_1.1_a83726a492e86089_.log (deflated 93%) 2025-12-04T09:32:57.8647868Z adding: test/test-reports/test_multiprocessing_1.1_4d352d34b4cc0774_.log (deflated 95%) 2025-12-04T09:32:57.8648876Z adding: test/test-reports/test_autograd_fallback_1.1_236c418d7a549de7_.log (deflated 49%) 2025-12-04T09:32:57.8650269Z adding: test/test-reports/test_autocast_1.1_cd7502da799d13e2_.log (deflated 48%) 2025-12-04T09:32:57.8651426Z adding: test/test-reports/test_jit_disabled_1.1_4a2b0ddde711f530_.log (deflated 48%) 2025-12-04T09:32:57.8652810Z adding: test/test-reports/test_cpp_extensions_mtia_backend_1.1_fdc3cfe79045952f_.log (deflated 51%) 2025-12-04T09:32:57.8654493Z adding: test/test-reports/functorch.test_memory_efficient_fusion_1.1_bb0b21470c49963e_.log (deflated 51%) 2025-12-04T09:32:57.8656136Z adding: test/test-reports/test_cpp_extensions_stream_and_event_1.1_b2295c75b8aa5df6_.log (deflated 51%) 2025-12-04T09:32:57.8657505Z adding: test/test-reports/test_dispatch_1.1_bc519a390feb74d4_.log (deflated 48%) 2025-12-04T09:32:57.8658677Z adding: test/test-reports/nn.test_convolution_1.1_cdf8de0969318fbd_.log (deflated 49%) 2025-12-04T09:32:57.8659991Z adding: test/test-reports/test_cpp_extensions_jit_1.1_0fb9718753665066_.log (deflated 50%) 2025-12-04T09:32:57.8661288Z adding: test/test-reports/test_cuda_trace_1.1_7d5438ed039b9574_.log (deflated 11%) 2025-12-04T09:32:57.8662509Z adding: test/test-reports/test_native_mha_1.1_62a4711ccb84951f_.log (deflated 48%) 2025-12-04T09:32:57.8663835Z adding: test/test-reports/test_cuda_nvml_based_avail_1.1_3bf0de5bd17bf8fb_.log (deflated 11%) 2025-12-04T09:32:57.8664997Z adding: test/test-reports/test_mobile_optimizer_1.1_1bc4528d704a7e3b_.log (deflated 97%) 2025-12-04T09:32:57.8665704Z adding: test/test-reports/test_cuda_primary_ctx_1.1_e3a67f09b5d0d101_.log (deflated 11%) 2025-12-04T09:32:57.8666496Z adding: test/test-reports/distributions.test_distributions_1.1_abbc55eedf8e9df6_.log (deflated 95%) 2025-12-04T09:32:57.8667426Z adding: test/test-reports/test_cpp_extensions_aot_ninja_1.1_fa6b7fb0f74237ad_.log (deflated 50%) 2025-12-04T09:32:57.8668255Z adding: test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_385651f8d57c15a1_.log (deflated 51%) 2025-12-04T09:32:57.8669066Z adding: test/test-reports/inductor.test_collective_autotuning_1.1_871242fc821bf50d_.log (stored 0%) 2025-12-04T09:32:57.8669822Z adding: test/test-reports/inductor.test_cuda_repro_1.1_26dde706eded1438_.log (stored 0%) 2025-12-04T09:32:57.8670543Z adding: test/test-reports/inductor.test_layout_optim_1.1_8100ed44fe78f7d8_.log (stored 0%) 2025-12-04T09:32:57.8671285Z adding: test/test-reports/inductor.test_deterministic_1.1_7771be1ac6434106_.log (stored 0%) 2025-12-04T09:32:57.8671997Z adding: test/test-reports/inductor.test_b2b_gemm_1.1_604523f055980788_.log (stored 0%) 2025-12-04T09:32:57.8672697Z adding: test/test-reports/inductor.test_autoheuristic_1.1_4c334fbe1f60c2d6_.log (stored 0%) 2025-12-04T09:32:57.8673442Z adding: test/test-reports/inductor.test_loop_ordering_1.1_6ed0bcb828aa8068_.log (stored 0%) 2025-12-04T09:32:57.8674228Z adding: test/test-reports/inductor.test_coordinate_descent_tuner_1.1_836e5613bc99eafc_.log (stored 0%) 2025-12-04T09:32:57.8675010Z adding: test/test-reports/inductor.test_control_deps_1.1_b68b75ed05c510d6_.log (stored 0%) 2025-12-04T09:32:57.8675797Z adding: test/test-reports/inductor.test_aot_inductor_custom_ops_1.1_3d8ea8018b7358b9_.log (stored 0%) 2025-12-04T09:32:57.8676551Z adding: test/test-reports/inductor.test_memory_1.1_aff780f0225aff5b_.log (stored 0%) 2025-12-04T09:32:57.8677295Z adding: test/test-reports/inductor.test_pallas_1.1_06c042d3b09bc01b_.log (stored 0%) 2025-12-04T09:32:57.8678009Z adding: test/test-reports/inductor.test_fxir_backend_1.1_d776bb5564a90d4e_.log (stored 0%) 2025-12-04T09:32:57.8678736Z adding: test/test-reports/test_varlen_attention_1.1_8aaefb4dbce465d0_.log (deflated 49%) 2025-12-04T09:32:57.8679407Z adding: test/test-reports/test_jiterator_1.1_6d606780206c0489_.log (deflated 48%) 2025-12-04T09:32:57.8680087Z adding: test/test-reports/test_ops_fwd_gradients_2.2_e0d250cb65a3cde3_.log (deflated 50%) 2025-12-04T09:32:57.8680784Z adding: test/test-reports/test_nestedtensor_3.3_e3612e3a6780c7b8_.log (deflated 49%) 2025-12-04T09:32:57.8681564Z adding: test/test-reports/optim.test_lrscheduler_1.1_5bae456e96c41a69_.log (deflated 7%) 2025-12-04T09:32:57.8682217Z adding: test/test-reports/test_ops_4.5_050c9a2b523a31de_.log (deflated 48%) 2025-12-04T09:32:57.8682826Z adding: test/test-reports/test_ops_5.5_907fc986dbe9f3fe_.log (deflated 48%) 2025-12-04T09:32:57.8683477Z adding: test/test-reports/functorch.test_ops_7.7_f62b23e9153e6356_.log (deflated 49%) 2025-12-04T09:32:57.8684277Z adding: test/test-reports/functorch.test_aotdispatch_6.8_881ce46c0cde8855_.log (deflated 52%) 2025-12-04T09:32:57.8685032Z adding: test/test-reports/functorch.test_aotdispatch_8.8_09242488942dba0e_.log (deflated 52%) 2025-12-04T09:32:57.8685751Z adding: test/test-reports/test_cuda_multigpu_1.1_70d37b4a3991e757_.log (deflated 49%) 2025-12-04T09:32:57.8686502Z adding: test/test-reports/inductor.test_collective_autotuning_1.1_62e859f8e195d64d_.log (stored 0%) 2025-12-04T09:32:57.8687262Z adding: test/test-reports/inductor.test_layout_optim_1.1_5c3a572bbf383bc3_.log (stored 0%) 2025-12-04T09:32:57.8687994Z adding: test/test-reports/inductor.test_cuda_repro_1.1_d11e8aadb2369dfe_.log (stored 0%) 2025-12-04T09:32:57.8688732Z adding: test/test-reports/inductor.test_deterministic_1.1_ecfdc6bc84ed65af_.log (stored 0%) 2025-12-04T09:32:57.8689455Z adding: test/test-reports/inductor.test_b2b_gemm_1.1_5fca2098540ed58e_.log (stored 0%) 2025-12-04T09:32:57.8690166Z adding: test/test-reports/inductor.test_autoheuristic_1.1_7dbac1d6dd8b5b4d_.log (stored 0%) 2025-12-04T09:32:57.8690911Z adding: test/test-reports/inductor.test_loop_ordering_1.1_23fe0260a1e2b15b_.log (stored 0%) 2025-12-04T09:32:57.8691691Z adding: test/test-reports/inductor.test_coordinate_descent_tuner_1.1_630f8dee73e88bb3_.log (stored 0%) 2025-12-04T09:32:57.8692471Z adding: test/test-reports/inductor.test_control_deps_1.1_889edcb22ba120e8_.log (stored 0%) 2025-12-04T09:32:57.8693238Z adding: test/test-reports/inductor.test_aot_inductor_custom_ops_1.1_fb429f06bad11ae7_.log (stored 0%) 2025-12-04T09:32:57.8693989Z adding: test/test-reports/inductor.test_memory_1.1_b4e33fe73147c240_.log (stored 0%) 2025-12-04T09:32:57.8694667Z adding: test/test-reports/inductor.test_pallas_1.1_1490bd3d2237703a_.log (stored 0%) 2025-12-04T09:32:57.8695353Z adding: test/test-reports/inductor.test_fxir_backend_1.1_6f9220d8919c5733_.log (stored 0%) 2025-12-04T09:32:57.8696062Z adding: test/test-reports/test_varlen_attention_1.1_638c8f482a71e24e_.log (deflated 49%) 2025-12-04T09:32:57.8696742Z adding: test/test-reports/test_jiterator_1.1_3eba28b00dd557b7_.log (deflated 48%) 2025-12-04T09:32:57.8697422Z adding: test/test-reports/optim.test_lrscheduler_1.1_167a036b360b8fda_.log (deflated 7%) 2025-12-04T09:32:57.8698107Z adding: test/test-reports/test_nestedtensor_3.3_71eeb8845ddd9ff7_.log (deflated 49%) 2025-12-04T09:32:57.8698805Z adding: test/test-reports/test_ops_fwd_gradients_2.2_68ee8961aa605bb4_.log (deflated 49%) 2025-12-04T09:32:57.8699509Z adding: test/test-reports/functorch.test_ops_7.7_ad02af86f8ef9009_.log (deflated 49%) 2025-12-04T09:32:57.8700253Z adding: test/test-reports/functorch.test_aotdispatch_6.8_a66d9964de4deae2_.log (deflated 52%) 2025-12-04T09:32:57.8701009Z adding: test/test-reports/functorch.test_aotdispatch_8.8_a1a7a18bc93e088e_.log (deflated 52%) 2025-12-04T09:32:57.8701733Z adding: test/test-reports/test_cuda_multigpu_1.1_d9f0a85f1a38834c_.log (deflated 49%) 2025-12-04T09:32:57.8702377Z adding: test/test-reports/test_ops_4.5_e70e4263c919ba72_.log (deflated 47%) 2025-12-04T09:32:57.8703244Z adding: test/test-reports/test_ops_5.5_32dcbee16419f97c_.log (deflated 47%) 2025-12-04T09:32:57.8722133Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T09:32:57.8722742Z # Remove any previous debugging artifacts if they exist 2025-12-04T09:32:57.8723176Z rm -f debug-*.zip 2025-12-04T09:32:57.8723473Z if [ -d 'test/debug' ]; then 2025-12-04T09:32:57.8723837Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T09:32:57.8724171Z fi 2025-12-04T09:32:57.8729641Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:32:57.8730033Z env: 2025-12-04T09:32:57.8730241Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:57.8730521Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:57.8730982Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:57.8731486Z DEVICE_NAME: 2025-12-04T09:32:57.8731798Z DEVICE_TYPE: 2025-12-04T09:32:57.8732107Z FILE_SUFFIX: test-default-1-5-linux.2xlarge_57116258310 2025-12-04T09:32:57.8732480Z ##[endgroup] 2025-12-04T09:32:57.8806486Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:32:57.8806812Z with: 2025-12-04T09:32:57.8807039Z s3-bucket: gha-artifacts 2025-12-04T09:32:57.8807370Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:32:57.8807726Z retention-days: 14 2025-12-04T09:32:57.8807969Z if-no-files-found: warn 2025-12-04T09:32:57.8808243Z path: test-jsons-*.zip 2025-12-04T09:32:57.8808500Z name: artifact 2025-12-04T09:32:57.8808732Z region: us-east-1 2025-12-04T09:32:57.8808963Z env: 2025-12-04T09:32:57.8809179Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:57.8809436Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:57.8809899Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:57.8810413Z DEVICE_NAME: 2025-12-04T09:32:57.8810633Z DEVICE_TYPE: 2025-12-04T09:32:57.8810855Z ##[endgroup] 2025-12-04T09:32:58.2345404Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:32:58.2345895Z With the provided path, there will be 1 file uploaded 2025-12-04T09:32:58.2346363Z Uploading to s3 prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:32:58.2393854Z Starting upload of test-jsons-test-default-1-5-linux.2xlarge_57116258310.zip 2025-12-04T09:32:58.3879848Z Finished upload of test-jsons-test-default-1-5-linux.2xlarge_57116258310.zip 2025-12-04T09:32:58.4068119Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:32:58.4068457Z with: 2025-12-04T09:32:58.4068715Z s3-bucket: gha-artifacts 2025-12-04T09:32:58.4069045Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:32:58.4069405Z retention-days: 14 2025-12-04T09:32:58.4069655Z if-no-files-found: error 2025-12-04T09:32:58.4069938Z path: test-reports-*.zip 2025-12-04T09:32:58.4070207Z name: artifact 2025-12-04T09:32:58.4070426Z region: us-east-1 2025-12-04T09:32:58.4070667Z env: 2025-12-04T09:32:58.4070884Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:58.4071143Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:58.4071606Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:58.4072116Z DEVICE_NAME: 2025-12-04T09:32:58.4072331Z DEVICE_TYPE: 2025-12-04T09:32:58.4072557Z ##[endgroup] 2025-12-04T09:32:58.7622433Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:32:58.7622991Z With the provided path, there will be 1 file uploaded 2025-12-04T09:32:58.7623455Z Uploading to s3 prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:32:58.7670399Z Starting upload of test-reports-test-default-1-5-linux.2xlarge_57116258310.zip 2025-12-04T09:32:58.9145300Z Finished upload of test-reports-test-default-1-5-linux.2xlarge_57116258310.zip 2025-12-04T09:32:58.9332019Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:32:58.9332365Z with: 2025-12-04T09:32:58.9332598Z s3-bucket: gha-artifacts 2025-12-04T09:32:58.9332949Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:32:58.9333308Z retention-days: 14 2025-12-04T09:32:58.9333558Z if-no-files-found: ignore 2025-12-04T09:32:58.9333838Z path: logs-*.zip 2025-12-04T09:32:58.9334077Z name: artifact 2025-12-04T09:32:58.9334297Z region: us-east-1 2025-12-04T09:32:58.9334539Z env: 2025-12-04T09:32:58.9334754Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:58.9335013Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:58.9335481Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:58.9335995Z DEVICE_NAME: 2025-12-04T09:32:58.9336362Z DEVICE_TYPE: 2025-12-04T09:32:58.9336593Z ##[endgroup] 2025-12-04T09:32:59.2608139Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:32:59.2608676Z With the provided path, there will be 1 file uploaded 2025-12-04T09:32:59.2609130Z Uploading to s3 prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:32:59.2656494Z Starting upload of logs-test-default-1-5-linux.2xlarge_57116258310.zip 2025-12-04T09:32:59.4155639Z Finished upload of logs-test-default-1-5-linux.2xlarge_57116258310.zip 2025-12-04T09:32:59.4358361Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:32:59.4358709Z with: 2025-12-04T09:32:59.4358940Z s3-bucket: gha-artifacts 2025-12-04T09:32:59.4359274Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:32:59.4359622Z retention-days: 14 2025-12-04T09:32:59.4359882Z if-no-files-found: ignore 2025-12-04T09:32:59.4360158Z path: debug-*.zip 2025-12-04T09:32:59.4360386Z name: artifact 2025-12-04T09:32:59.4360630Z region: us-east-1 2025-12-04T09:32:59.4360864Z env: 2025-12-04T09:32:59.4361086Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:59.4361348Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:59.4361820Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:59.4362342Z DEVICE_NAME: 2025-12-04T09:32:59.4362560Z DEVICE_TYPE: 2025-12-04T09:32:59.4362799Z ##[endgroup] 2025-12-04T09:32:59.7557975Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T09:32:59.7748287Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T09:32:59.7748698Z # shellcheck disable=SC2156 2025-12-04T09:32:59.7749299Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T09:32:59.7755521Z shell: /usr/bin/bash -e {0} 2025-12-04T09:32:59.7755806Z env: 2025-12-04T09:32:59.7756037Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:59.7756300Z HAS_NVIDIA_GPU: false 2025-12-04T09:32:59.7756889Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:32:59.7757416Z DEVICE_NAME: 2025-12-04T09:32:59.7757659Z DEVICE_TYPE: 2025-12-04T09:32:59.7757876Z ##[endgroup] 2025-12-04T09:33:00.0953765Z Prepare all required actions 2025-12-04T09:33:00.0954203Z Getting action download info 2025-12-04T09:33:00.2843146Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T09:33:00.6610846Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T09:33:00.6611216Z with: 2025-12-04T09:33:00.6611443Z job_id: 57116258310 2025-12-04T09:33:00.6611902Z job_name: linux-jammy-py3.10-gcc11 / test (default, 1, 5, linux.2xlarge, rerun_disabled_tests) 2025-12-04T09:33:00.6612423Z workflow_name: pull 2025-12-04T09:33:00.6612671Z workflow_run_id: 19922814090 2025-12-04T09:33:00.6612954Z workflow_attempt: 1 2025-12-04T09:33:00.6613196Z env: 2025-12-04T09:33:00.6613399Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:33:00.6613671Z HAS_NVIDIA_GPU: false 2025-12-04T09:33:00.6614132Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:33:00.6614636Z DEVICE_NAME: 2025-12-04T09:33:00.6614915Z DEVICE_TYPE: 2025-12-04T09:33:00.6615129Z ##[endgroup] 2025-12-04T09:33:00.6651966Z ##[group]Run actions/setup-python@v6 2025-12-04T09:33:00.6652304Z with: 2025-12-04T09:33:00.6652532Z python-version: 3.10 2025-12-04T09:33:00.6652779Z check-latest: false 2025-12-04T09:33:00.6653138Z token: *** 2025-12-04T09:33:00.6653378Z update-environment: true 2025-12-04T09:33:00.6653664Z allow-prereleases: false 2025-12-04T09:33:00.6653927Z freethreaded: false 2025-12-04T09:33:00.6654174Z env: 2025-12-04T09:33:00.6654391Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:33:00.6654652Z HAS_NVIDIA_GPU: false 2025-12-04T09:33:00.6655118Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:33:00.6655643Z DEVICE_NAME: 2025-12-04T09:33:00.6655864Z DEVICE_TYPE: 2025-12-04T09:33:00.6656087Z ##[endgroup] 2025-12-04T09:33:01.1352120Z ##[group]Installed versions 2025-12-04T09:33:01.1368234Z Version 3.10 was not found in the local cache 2025-12-04T09:33:01.1645205Z (node:51155) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T09:33:01.1646249Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:33:01.5350041Z ##[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 2025-12-04T09:33:01.5591312Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T09:33:01.5591773Z with: 2025-12-04T09:33:01.5591986Z env: 2025-12-04T09:33:01.5592192Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:33:01.5592467Z HAS_NVIDIA_GPU: false 2025-12-04T09:33:01.5592934Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:33:01.5593441Z DEVICE_NAME: 2025-12-04T09:33:01.5593672Z DEVICE_TYPE: 2025-12-04T09:33:01.5593903Z ##[endgroup] 2025-12-04T09:33:01.5609759Z ##[group]Run set -eou pipefail 2025-12-04T09:33:01.5610070Z set -eou pipefail 2025-12-04T09:33:01.5610360Z  2025-12-04T09:33:01.5610736Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T09:33:01.5611218Z for _ in $(seq 1440); do 2025-12-04T09:33:01.5611543Z  # Break if no ssh session exists anymore 2025-12-04T09:33:01.5611924Z  if [ "$(who)" = "" ]; then 2025-12-04T09:33:01.5612319Z  break 2025-12-04T09:33:01.5612560Z  fi 2025-12-04T09:33:01.5612791Z  echo "." 2025-12-04T09:33:01.5613038Z  sleep 5 2025-12-04T09:33:01.5613268Z done 2025-12-04T09:33:01.5619112Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:33:01.5619501Z env: 2025-12-04T09:33:01.5619708Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:33:01.5619982Z HAS_NVIDIA_GPU: false 2025-12-04T09:33:01.5620442Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:33:01.5620946Z DEVICE_NAME: 2025-12-04T09:33:01.5621183Z DEVICE_TYPE: 2025-12-04T09:33:01.5621405Z ##[endgroup] 2025-12-04T09:33:01.5646187Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T09:33:01.5720392Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:33:01.5720951Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:33:01.5721404Z # shellcheck disable=SC2046 2025-12-04T09:33:01.5721748Z docker stop $(docker ps -q) || true 2025-12-04T09:33:01.5722100Z # Prune all of the docker images 2025-12-04T09:33:01.5722647Z docker system prune -af 2025-12-04T09:33:01.5728283Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:33:01.5728678Z env: 2025-12-04T09:33:01.5728887Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:33:01.5729162Z HAS_NVIDIA_GPU: false 2025-12-04T09:33:01.5729631Z DOCKER_CONTAINER_ID: 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:33:01.5730137Z DEVICE_NAME: 2025-12-04T09:33:01.5730386Z DEVICE_TYPE: 2025-12-04T09:33:01.5730617Z ##[endgroup] 2025-12-04T09:33:12.2812883Z 06ee32f9aa81 2025-12-04T09:33:12.7103253Z Deleted Containers: 2025-12-04T09:33:12.7103867Z 06ee32f9aa810f97d8c4b94f5237bfbca745e2d13bbcbd40975afad11403ecc6 2025-12-04T09:33:12.7104334Z 2025-12-04T09:33:20.1079563Z Deleted Images: 2025-12-04T09:33:20.1080914Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:33:20.1082159Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:2610a00c960d673cd131e7c14ba72b79a36946bfc93ee26d3cb9c682e695f524 2025-12-04T09:33:20.1083109Z deleted: sha256:6cd35e8b81e20fb08308a37a4142d023916ffbe9fe457fc6ff2ef9b1b4f1d300 2025-12-04T09:33:20.1083832Z deleted: sha256:a396e6c6fda36a3faf13e85dfd9d440cd099fab5b2553a4abf4159829177752a 2025-12-04T09:33:20.1084505Z deleted: sha256:5a967c384930db7610382c0f2c6a4fa106a6708ed3fa426ed45a74145197adc0 2025-12-04T09:33:20.1085429Z deleted: sha256:6aaeae07b15eaab1b7ea7a331f0b42fbb7df60d75e540fa7c2ad6e11076c4342 2025-12-04T09:33:20.1086103Z deleted: sha256:d3430c0c04d4e7a50b5493193a5e8282798c721dde42e5648029dce0a27e9821 2025-12-04T09:33:20.1086765Z deleted: 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[command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T09:33:20.9775195Z [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' || :" 2025-12-04T09:33:21.0072074Z Entering 'android/libs/fbjni' 2025-12-04T09:33:21.0110519Z http.https://github.com/.extraheader 2025-12-04T09:33:21.0144167Z Entering 'third_party/FP16' 2025-12-04T09:33:21.0182440Z http.https://github.com/.extraheader 2025-12-04T09:33:21.0216531Z Entering 'third_party/FXdiv' 2025-12-04T09:33:21.0254503Z http.https://github.com/.extraheader 2025-12-04T09:33:21.0287368Z Entering 'third_party/NNPACK' 2025-12-04T09:33:21.0325539Z http.https://github.com/.extraheader 2025-12-04T09:33:21.0358625Z Entering 'third_party/NVTX' 2025-12-04T09:33:21.0397619Z http.https://github.com/.extraheader 2025-12-04T09:33:21.0431894Z Entering 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