2025-12-04T08:50:53.1161544Z Current runner version: '2.330.0' 2025-12-04T08:50:53.1168024Z Runner name: 'i-0c77d3bb2d721819e' 2025-12-04T08:50:53.1168903Z Runner group name: 'default' 2025-12-04T08:50:53.1169836Z Machine name: 'ip-10-0-73-177' 2025-12-04T08:50:53.1172671Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T08:50:53.1174989Z Contents: read 2025-12-04T08:50:53.1175519Z Metadata: read 2025-12-04T08:50:53.1176041Z ##[endgroup] 2025-12-04T08:50:53.1178388Z Secret source: Actions 2025-12-04T08:50:53.1179070Z Prepare workflow directory 2025-12-04T08:50:53.1689215Z Prepare all required actions 2025-12-04T08:50:53.1729276Z Getting action download info 2025-12-04T08:50:53.5247643Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T08:50:55.6766747Z Download action repository 'pytorch/pytorch@main' (SHA:ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:51:09.3999930Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T08:51:09.7483162Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T08:51:10.0166595Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T08:51:10.2236370Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:51:10.4494130Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T08:51:10.7433906Z Getting action download info 2025-12-04T08:51:10.8716672Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T08:51:11.1499429Z Getting action download info 2025-12-04T08:51:11.2936158Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T08:51:11.5059369Z Getting action download info 2025-12-04T08:51:11.6492933Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T08:51:11.8479212Z Getting action download info 2025-12-04T08:51:12.0304620Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:51:12.0308603Z ##[group] Inputs 2025-12-04T08:51:12.0308974Z build-environment: linux-jammy-py3.14-clang12 2025-12-04T08:51:12.0314620Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T08:51:12.0320897Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:51:12.0321723Z sync-tag: 2025-12-04T08:51:12.0322569Z timeout-minutes: 240 2025-12-04T08:51:12.0322839Z use-gha: 2025-12-04T08:51:12.0323065Z dashboard-tag: 2025-12-04T08:51:12.0323302Z s3-bucket: gha-artifacts 2025-12-04T08:51:12.0323583Z aws-role-to-assume: 2025-12-04T08:51:12.0324169Z disable-monitor: false 2025-12-04T08:51:12.0324468Z monitor-log-interval: 5 2025-12-04T08:51:12.0324783Z monitor-data-collect-interval: 1 2025-12-04T08:51:12.0325113Z ##[endgroup] 2025-12-04T08:51:12.0325666Z Complete job name: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge, rerun_disabled_tests) 2025-12-04T08:51:12.0797566Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T08:51:12.0907428Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T08:51:12.0916483Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:51:12.0917171Z ##[endgroup] 2025-12-04T08:51:13.2949152Z Runner Type: linux.2xlarge 2025-12-04T08:51:13.2949643Z Instance Type: c5.2xlarge 2025-12-04T08:51:13.2949906Z AMI Name: unknown 2025-12-04T08:51:13.2975908Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T08:51:18.5533864Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T08:51:18.5534339Z with: 2025-12-04T08:51:18.5534938Z github-secret: *** 2025-12-04T08:51:18.5535725Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T08:51:18.5536529Z activate-with-label: false 2025-12-04T08:51:18.5536825Z label: with-ssh 2025-12-04T08:51:18.5537099Z remove-existing-keys: true 2025-12-04T08:51:18.5537394Z fail-silently: true 2025-12-04T08:51:18.5537641Z env: 2025-12-04T08:51:18.5537865Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:18.5538143Z ##[endgroup] 2025-12-04T08:51:18.6676114Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T08:51:18.6677927Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T08:51:18.6839619Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T08:51:18.6840267Z with: 2025-12-04T08:51:18.6840486Z no-sudo: true 2025-12-04T08:51:18.6840731Z submodules: recursive 2025-12-04T08:51:18.6840999Z fetch-depth: 0 2025-12-04T08:51:18.6841217Z env: 2025-12-04T08:51:18.6841434Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:18.6841698Z ##[endgroup] 2025-12-04T08:51:18.6914696Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:51:18.6915695Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:51:18.6925057Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:51:18.6925474Z env: 2025-12-04T08:51:18.6925721Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:18.6926036Z ##[endgroup] 2025-12-04T08:51:18.7003540Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T08:51:18.7003997Z # Use all available CPUs for fetching 2025-12-04T08:51:18.7004362Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:51:18.7004698Z git config --global fetch.parallel 0 2025-12-04T08:51:18.7005102Z git config --global submodule.fetchJobs 0 2025-12-04T08:51:18.7005452Z  2025-12-04T08:51:18.7005809Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T08:51:18.7006299Z # do it here as well just in case 2025-12-04T08:51:18.7006783Z if [[ -d .git ]]; then 2025-12-04T08:51:18.7007072Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:51:18.7007397Z  sudo git clean -ffdx 2025-12-04T08:51:18.7007685Z  else 2025-12-04T08:51:18.7007926Z  git clean -ffdx 2025-12-04T08:51:18.7008183Z  fi 2025-12-04T08:51:18.7008407Z fi 2025-12-04T08:51:18.7013983Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:51:18.7014368Z env: 2025-12-04T08:51:18.7014661Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:18.7014953Z NO_SUDO: true 2025-12-04T08:51:18.7015170Z ##[endgroup] 2025-12-04T08:51:18.7121532Z ##[group]Run actions/checkout@v4 2025-12-04T08:51:18.7121833Z with: 2025-12-04T08:51:18.7122094Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:51:18.7122431Z fetch-depth: 0 2025-12-04T08:51:18.7122674Z submodules: recursive 2025-12-04T08:51:18.7122938Z show-progress: false 2025-12-04T08:51:18.7123224Z repository: pytorch/pytorch 2025-12-04T08:51:18.7123648Z token: *** 2025-12-04T08:51:18.7123880Z ssh-strict: true 2025-12-04T08:51:18.7124120Z ssh-user: git 2025-12-04T08:51:18.7124354Z persist-credentials: true 2025-12-04T08:51:18.7124632Z clean: true 2025-12-04T08:51:18.7124886Z sparse-checkout-cone-mode: true 2025-12-04T08:51:18.7125176Z fetch-tags: false 2025-12-04T08:51:18.7125411Z lfs: false 2025-12-04T08:51:18.7125641Z set-safe-directory: true 2025-12-04T08:51:18.7125907Z env: 2025-12-04T08:51:18.7126125Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:18.7126391Z ##[endgroup] 2025-12-04T08:51:18.8242437Z Syncing repository: pytorch/pytorch 2025-12-04T08:51:18.8244586Z ##[group]Getting Git version info 2025-12-04T08:51:18.8245459Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:51:18.8246665Z [command]/usr/bin/git version 2025-12-04T08:51:18.8247140Z git version 2.50.1 2025-12-04T08:51:18.8255720Z ##[endgroup] 2025-12-04T08:51:18.8265016Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/cb57b191-c140-4256-b2e3-5c09b28d85f5/.gitconfig' 2025-12-04T08:51:18.8286677Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/cb57b191-c140-4256-b2e3-5c09b28d85f5' before making global git config changes 2025-12-04T08:51:18.8287739Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T08:51:18.8291463Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:51:18.8324521Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:51:18.8327395Z ##[group]Initializing the repository 2025-12-04T08:51:18.8331441Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:51:18.8359893Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T08:51:18.8360693Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T08:51:18.8361308Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T08:51:18.8361745Z hint: 2025-12-04T08:51:18.8362040Z hint: git config --global init.defaultBranch 2025-12-04T08:51:18.8362518Z hint: 2025-12-04T08:51:18.8363128Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T08:51:18.8363729Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T08:51:18.8364190Z hint: 2025-12-04T08:51:18.8364420Z hint: git branch -m 2025-12-04T08:51:18.8364678Z hint: 2025-12-04T08:51:18.8365122Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T08:51:18.8366470Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T08:51:18.8369690Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T08:51:18.8392134Z ##[endgroup] 2025-12-04T08:51:18.8392788Z ##[group]Disabling automatic garbage collection 2025-12-04T08:51:18.8395707Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T08:51:18.8417425Z ##[endgroup] 2025-12-04T08:51:18.8417823Z ##[group]Setting up auth 2025-12-04T08:51:18.8423248Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T08:51:18.8446147Z [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' || :" 2025-12-04T08:51:18.8715910Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T08:51:18.8740325Z [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' || :" 2025-12-04T08:51:18.8981282Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T08:51:18.9005070Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T08:51:18.9246805Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:51:18.9295492Z ##[endgroup] 2025-12-04T08:51:18.9296078Z ##[group]Fetching the repository 2025-12-04T08:51:18.9303755Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T08:52:17.6025088Z From https://github.com/pytorch/pytorch 2025-12-04T08:52:17.6026890Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T08:52:17.6027560Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T08:52:17.6028395Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T08:52:17.6029238Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T08:52:17.6030209Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T08:52:17.6031080Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T08:52:17.6032034Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T08:52:17.6034340Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T08:52:17.6035712Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T08:52:17.6036992Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T08:52:17.6038304Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T08:52:17.6039523Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T08:52:17.6040873Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T08:52:17.6042752Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T08:52:17.6043843Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T08:52:17.6045455Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T08:52:17.6047116Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T08:52:17.6048910Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T08:52:17.6050149Z * [new branch] adi/test -> origin/adi/test 2025-12-04T08:52:17.6051471Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T08:52:17.6052733Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T08:52:17.6054094Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T08:52:17.6055380Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T08:52:17.6056623Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T08:52:17.6057838Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T08:52:17.6059572Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T08:52:17.6063152Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T08:52:17.6063912Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T08:52:17.6064757Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T08:52:17.6065804Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T08:52:17.6067648Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T08:52:17.6069183Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T08:52:17.6070272Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T08:52:17.6071707Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T08:52:17.6072780Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T08:52:17.6074143Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T08:52:17.6075344Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T08:52:17.6077072Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T08:52:17.6078900Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T08:52:17.6080174Z * [new branch] angelayi/side_eff -> origin/angelayi/side_eff 2025-12-04T08:52:17.6081557Z * [new branch] angelayi/state_dict -> origin/angelayi/state_dict 2025-12-04T08:52:17.6082891Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-12-04T08:52:17.6084389Z * [new branch] angelayi/symm_mem -> origin/angelayi/symm_mem 2025-12-04T08:52:17.6085623Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-12-04T08:52:17.6086833Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-12-04T08:52:17.6088118Z * [new branch] annotate_assert -> origin/annotate_assert 2025-12-04T08:52:17.6089474Z * [new branch] annotate_fallback_kernel -> origin/annotate_fallback_kernel 2025-12-04T08:52:17.6090758Z * [new branch] annotation_deepcopy -> origin/annotation_deepcopy 2025-12-04T08:52:17.6092043Z * [new branch] annotation_dynamo -> origin/annotation_dynamo 2025-12-04T08:52:17.6093286Z * [new branch] aot_eager_stack_trace -> origin/aot_eager_stack_trace 2025-12-04T08:52:17.6094570Z * [new 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branch] zb2p -> origin/zb2p 2025-12-04T08:52:18.3182387Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-12-04T08:52:18.3184892Z * [new branch] zhxchen17/ci/vllm_lora_oom -> origin/zhxchen17/ci/vllm_lora_oom 2025-12-04T08:52:18.3186330Z * [new branch] zhxchen17/ci/vllm_multimodal_oom -> origin/zhxchen17/ci/vllm_multimodal_oom 2025-12-04T08:52:18.3188126Z * [new branch] zhxchen17/ci/vllm_pin -> origin/zhxchen17/ci/vllm_pin 2025-12-04T08:52:18.3191103Z * [new branch] zhxchen17/dynamo/unsafe_drop_all_guards -> origin/zhxchen17/dynamo/unsafe_drop_all_guards 2025-12-04T08:52:18.3193108Z * [new branch] zhxchen17/export/call_override -> origin/zhxchen17/export/call_override 2025-12-04T08:52:18.3194443Z * [new branch] zhxchen17/export/codemod1 -> origin/zhxchen17/export/codemod1 2025-12-04T08:52:18.3196570Z * [new branch] zhxchen17/export/ctx_return -> origin/zhxchen17/export/ctx_return 2025-12-04T08:52:18.3198486Z * [new branch] 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branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T08:52:18.3217273Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T08:52:18.3218902Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T08:52:18.3220558Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T08:52:18.3222399Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T08:52:18.3224038Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T08:52:18.3225065Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T08:52:18.3226729Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T08:52:18.3227628Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T08:52:18.3228724Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T08:52:18.3229868Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T08:52:18.3231294Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T08:52:18.3232267Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T08:52:18.3233712Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T08:52:18.3235110Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T08:52:18.3235972Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T08:52:18.3237777Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T08:52:18.3238796Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T08:52:18.3240848Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T08:52:18.3242465Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T08:52:18.3243648Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T08:52:18.3244859Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T08:52:18.3246007Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T08:52:18.3247694Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T08:52:18.3248641Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T08:52:18.3250354Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T08:52:18.3251185Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T08:52:18.3253075Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T08:52:18.3254056Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T08:52:18.3255157Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T08:52:18.3256641Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T08:52:18.3257730Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T08:52:18.3258923Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T08:52:18.3260713Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T08:52:18.3261574Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T08:52:18.3263153Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T08:52:18.3264277Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T08:52:18.3265387Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T08:52:18.3266399Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T08:52:18.3268318Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T08:52:18.3269087Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T08:52:18.3270175Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T08:52:18.3271627Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T08:52:18.3272794Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T08:52:18.3273852Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T08:52:18.3275368Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T08:52:18.3276267Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T08:52:18.3277397Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T08:52:18.3278549Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T08:52:18.3279653Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T08:52:18.3280735Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T08:52:18.3281837Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T08:52:18.3283059Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T08:52:18.3284067Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T08:52:18.3285106Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T08:52:18.3286225Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T08:52:18.3287903Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T08:52:18.3289400Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T08:52:18.3290871Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T08:52:18.3291750Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T08:52:18.3293137Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T08:52:18.3294056Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T08:52:18.3295199Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T08:52:18.3296334Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T08:52:18.3297924Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T08:52:18.3299968Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T08:52:18.3300941Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T08:52:18.3301980Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T08:52:18.3303284Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T08:52:18.3306260Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T08:52:18.3307121Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T08:52:18.3308120Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T08:52:18.3309411Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T08:52:18.3310515Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T08:52:18.3311691Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T08:52:18.3312749Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T08:52:18.3314083Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T08:52:18.3315920Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T08:52:18.3316989Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T08:52:18.3318180Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T08:52:18.3319833Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T08:52:18.3320632Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T08:52:18.3322212Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T08:52:18.3323112Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T08:52:18.3324264Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T08:52:18.3325210Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T08:52:18.3326908Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T08:52:18.3327762Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T08:52:18.3329898Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T08:52:18.3330719Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T08:52:18.3331835Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T08:52:18.3332963Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T08:52:18.3334638Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T08:52:18.3335470Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T08:52:18.3336583Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T08:52:18.3337683Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T08:52:18.3338788Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-12-04T08:52:18.3339898Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T08:52:18.3343971Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T08:52:18.3344927Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T08:52:18.3346629Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T08:52:18.3348120Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T08:52:18.3349366Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T08:52:18.3350553Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T08:52:18.3351716Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T08:52:18.3352865Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T08:52:18.3354001Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T08:52:18.3355166Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T08:52:18.3356300Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T08:52:18.3358041Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T08:52:18.3359047Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T08:52:18.3360224Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T08:52:18.3361346Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T08:52:18.3362971Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T08:52:18.3363907Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T08:52:18.3365153Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T08:52:18.3366311Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T08:52:18.3367434Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T08:52:18.3368609Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T08:52:18.3369727Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T08:52:18.3371657Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T08:52:18.3372442Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T08:52:18.3373611Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T08:52:18.3374780Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T08:52:18.3376182Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T08:52:18.3377723Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T08:52:18.3378691Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T08:52:18.3380658Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T08:52:18.3381747Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T08:52:18.3382898Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T08:52:18.3384114Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T08:52:18.3385666Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T08:52:18.3386605Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T08:52:18.3387742Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T08:52:18.3388924Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T08:52:18.3390149Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T08:52:18.3391296Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T08:52:18.3392474Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T08:52:18.3393601Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T08:52:18.3395426Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T08:52:18.3396299Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T08:52:18.3397736Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T08:52:18.3399377Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T08:52:18.3400306Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T08:52:18.3401469Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T08:52:18.3402626Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T08:52:18.3403783Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T08:52:18.3404994Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T08:52:18.3406163Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T08:52:18.3407318Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T08:52:18.3408435Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T08:52:18.3409623Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T08:52:18.3410723Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T08:52:18.3411885Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T08:52:18.3413063Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T08:52:18.3414219Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T08:52:18.3415784Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T08:52:18.3416839Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T08:52:18.3417866Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T08:52:18.3419045Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T08:52:18.3420224Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T08:52:18.3421323Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T08:52:18.3423001Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T08:52:18.3423900Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T08:52:18.3425027Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T08:52:18.3426193Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T08:52:18.3427336Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T08:52:18.3428472Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T08:52:18.3429657Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T08:52:18.3430777Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T08:52:18.3431947Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T08:52:18.3433071Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T08:52:18.3434249Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T08:52:18.3435380Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T08:52:18.3436582Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T08:52:18.3438314Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T08:52:18.3439312Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T08:52:18.3440634Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T08:52:18.3442149Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T08:52:18.3443125Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T08:52:18.3444240Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T08:52:18.3445398Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T08:52:18.3446578Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T08:52:18.3447730Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T08:52:18.3448902Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T08:52:18.3450038Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T08:52:18.3451168Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T08:52:18.3452316Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T08:52:18.3453775Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T08:52:18.3455123Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T08:52:18.3456199Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T08:52:18.3458293Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T08:52:18.3459412Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T08:52:18.3460588Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T08:52:18.3461890Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T08:52:18.3462919Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T08:52:18.3464106Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T08:52:18.3465234Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T08:52:18.3466407Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T08:52:18.3468012Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T08:52:18.3468949Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T08:52:18.3470085Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T08:52:18.3471639Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T08:52:18.3472613Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T08:52:18.3473742Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T08:52:18.3474902Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T08:52:18.3476387Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T08:52:18.3478459Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T08:52:18.3479286Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T08:52:18.3480462Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T08:52:18.3481670Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T08:52:18.3482798Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T08:52:18.3483989Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T08:52:18.3485738Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T08:52:18.3486650Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T08:52:18.3487800Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T08:52:18.3488952Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T08:52:18.3490059Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T08:52:18.3491739Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T08:52:18.3492715Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T08:52:18.3494216Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T08:52:18.3495210Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T08:52:18.3497040Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T08:52:18.3497930Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T08:52:18.3499122Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T08:52:18.3500259Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T08:52:18.3501418Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T08:52:18.3503151Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T08:52:18.3504008Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T08:52:18.3505196Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T08:52:18.3506470Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T08:52:18.3508329Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T08:52:18.3509178Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T08:52:18.3510520Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T08:52:18.3512077Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T08:52:18.3513055Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T08:52:18.3514255Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T08:52:18.3515586Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T08:52:18.3517136Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T08:52:18.3518195Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T08:52:18.3519800Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T08:52:18.3520768Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T08:52:18.3522362Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T08:52:18.3523530Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T08:52:18.3524695Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T08:52:18.3525881Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T08:52:18.3527065Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T08:52:18.3528233Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T08:52:18.3529455Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T08:52:18.3530622Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T08:52:18.3532408Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T08:52:18.3534236Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T08:52:18.3535261Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T08:52:18.3536449Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T08:52:18.3537585Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T08:52:18.3539542Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T08:52:18.3540816Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T08:52:18.3541590Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T08:52:18.3542228Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T08:52:18.3542916Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T08:52:18.3543690Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T08:52:18.3544440Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T08:52:18.3545190Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T08:52:18.3546165Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T08:52:18.3546877Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T08:52:18.3547675Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T08:52:18.3548383Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T08:52:18.3549312Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T08:52:18.3549927Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T08:52:18.3550688Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T08:52:18.3551436Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T08:52:18.3552177Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T08:52:18.3553296Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T08:52:18.3554190Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T08:52:18.3555188Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T08:52:18.3556049Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T08:52:18.3556754Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T08:52:18.3557559Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T08:52:18.3558305Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T08:52:18.3559160Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T08:52:18.3559864Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T08:52:18.3560759Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T08:52:18.3561509Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T08:52:18.3562536Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T08:52:18.3563197Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T08:52:18.3563871Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T08:52:18.3564881Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T08:52:18.3565642Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T08:52:18.3566354Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T08:52:18.3567093Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T08:52:18.3567951Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T08:52:18.3568746Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T08:52:18.3569500Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T08:52:18.3570625Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T08:52:18.3571243Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T08:52:18.3572166Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T08:52:18.3572792Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T08:52:18.3573553Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T08:52:18.3574564Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T08:52:18.3575376Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T08:52:18.3576341Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T08:52:18.3577280Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T08:52:18.3578853Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:52:18.3579667Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T08:52:18.3580923Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T08:52:18.3581793Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T08:52:18.3582729Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T08:52:18.3583722Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T08:52:18.3584799Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T08:52:18.3585912Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T08:52:18.3586710Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T08:52:18.3587883Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T08:52:18.3588635Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T08:52:18.3589273Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T08:52:18.3590022Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T08:52:18.3590936Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T08:52:18.3591741Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T08:52:18.3592537Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T08:52:18.3593265Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T08:52:18.3594120Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T08:52:18.3594973Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T08:52:18.3595709Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T08:52:18.3596398Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T08:52:18.3597135Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T08:52:18.3598212Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T08:52:18.3598853Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T08:52:18.3599521Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T08:52:18.3600484Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T08:52:18.3601105Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T08:52:18.3602013Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T08:52:18.3602672Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T08:52:18.3603397Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T08:52:18.3604112Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T08:52:18.3604841Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T08:52:18.3605750Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T08:52:18.3606363Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T08:52:18.3607095Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T08:52:18.3607810Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T08:52:18.3608699Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T08:52:18.3609314Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T08:52:18.3610315Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T08:52:18.3611282Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T08:52:18.3612103Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T08:52:18.3612882Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T08:52:18.3613608Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T08:52:18.3614374Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T08:52:18.3615113Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T08:52:18.3615870Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T08:52:18.3616598Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T08:52:18.3617339Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T08:52:18.3618091Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T08:52:18.3618826Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T08:52:18.3619628Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T08:52:18.3620374Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T08:52:18.3621096Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T08:52:18.3621833Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T08:52:18.3622976Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T08:52:18.3623780Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T08:52:18.3625130Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T08:52:18.3625623Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T08:52:18.3626367Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T08:52:18.3627064Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T08:52:18.3627955Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T08:52:18.3628928Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T08:52:18.3630057Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T08:52:18.3631299Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T08:52:18.3632798Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T08:52:18.3633819Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T08:52:18.3634617Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T08:52:18.3635609Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T08:52:18.3637005Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T08:52:18.3637581Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T08:52:18.3638553Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T08:52:18.3639402Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T08:52:18.3640593Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T08:52:18.3641467Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T08:52:18.3642939Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T08:52:18.3643395Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T08:52:18.3644239Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T08:52:18.3644990Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T08:52:18.3645691Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T08:52:18.3646408Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T08:52:18.3647106Z * [new tag] ciflow/trunk/160174 -> ciflow/trunk/160174 2025-12-04T08:52:18.3647858Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T08:52:18.3648552Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T08:52:18.3649244Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T08:52:18.3649967Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T08:52:18.3650694Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T08:52:18.3651429Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T08:52:18.3652413Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T08:52:18.3653568Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T08:52:18.3654439Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T08:52:18.3655156Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T08:52:18.3655900Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T08:52:18.3656620Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T08:52:18.3657622Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T08:52:18.3658388Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T08:52:18.3659134Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T08:52:18.3659868Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T08:52:18.3660685Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T08:52:18.3661410Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T08:52:18.3662130Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T08:52:18.3662878Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T08:52:18.3663686Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T08:52:18.3664503Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T08:52:18.3665254Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T08:52:18.3665985Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T08:52:18.3667081Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T08:52:18.3667856Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T08:52:18.3668469Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T08:52:18.3669185Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T08:52:18.3670023Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T08:52:18.3670714Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T08:52:18.3671877Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T08:52:18.3672622Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T08:52:18.3673330Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T08:52:18.3674046Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T08:52:18.3675038Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T08:52:18.3675840Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T08:52:18.3676565Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T08:52:18.3677414Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T08:52:18.3678394Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T08:52:18.3679088Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T08:52:18.3679804Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T08:52:18.3680555Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T08:52:18.3681467Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T08:52:18.3682164Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T08:52:18.3683080Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T08:52:18.3684029Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T08:52:18.3684735Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T08:52:18.3685513Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T08:52:18.3686256Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T08:52:18.3686993Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T08:52:18.3687744Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T08:52:18.3688473Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T08:52:18.3689246Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T08:52:18.3689957Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T08:52:18.3690879Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T08:52:18.3691892Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T08:52:18.3692835Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T08:52:18.3693471Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T08:52:18.3694256Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T08:52:18.3695225Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T08:52:18.3695933Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T08:52:18.3696844Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T08:52:18.3697430Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T08:52:18.3698408Z * [new tag] ciflow/trunk/169229 -> ciflow/trunk/169229 2025-12-04T08:52:18.3699407Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T08:52:18.3700061Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T08:52:18.3701290Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T08:52:18.3702074Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T08:52:18.3702900Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T08:52:18.3703673Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T08:52:18.3704656Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T08:52:18.3705311Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T08:52:18.3706091Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T08:52:18.3706862Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T08:52:18.3707578Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T08:52:18.3708679Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T08:52:18.3709472Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T08:52:18.3710239Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T08:52:18.3711004Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T08:52:18.3711931Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T08:52:18.3712696Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T08:52:18.3713357Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T08:52:18.3714144Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T08:52:18.3715183Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T08:52:18.3715838Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T08:52:18.3716637Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T08:52:18.3717464Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T08:52:18.3718298Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T08:52:18.3719018Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T08:52:18.3719805Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T08:52:18.3720520Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T08:52:18.3721300Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T08:52:18.3722083Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T08:52:18.3722798Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T08:52:18.3724150Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T08:52:18.3724862Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T08:52:18.3725612Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T08:52:18.3726559Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T08:52:18.3727268Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T08:52:18.3728064Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T08:52:18.3728768Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T08:52:18.3729566Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T08:52:18.3730275Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T08:52:18.3731163Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T08:52:18.3731734Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T08:52:18.3732492Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T08:52:18.3733273Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T08:52:18.3734207Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T08:52:18.3735887Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T08:52:18.3736689Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T08:52:18.3737497Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T08:52:18.3738177Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T08:52:18.3738849Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T08:52:18.3739571Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T08:52:18.3740560Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T08:52:18.3741360Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T08:52:18.3742031Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T08:52:18.3742862Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T08:52:18.3743622Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T08:52:18.3744327Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T08:52:18.3744999Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T08:52:18.3745708Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T08:52:18.3746451Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T08:52:18.3747189Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T08:52:18.3747879Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T08:52:18.3748955Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T08:52:18.3750173Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T08:52:18.3751181Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T08:52:18.3751875Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T08:52:18.3752592Z * [new tag] ciflow/xpu/169229 -> ciflow/xpu/169229 2025-12-04T08:52:18.3753352Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T08:52:18.3754151Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T08:52:18.3754981Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T08:52:18.3755740Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T08:52:18.3756477Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T08:52:18.3757518Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T08:52:18.3758227Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T08:52:18.3759200Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T08:52:18.3759849Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T08:52:18.3760824Z * [new tag] cslpull75 -> cslpull75 2025-12-04T08:52:18.3761597Z * [new tag] cslpull76 -> cslpull76 2025-12-04T08:52:18.3762693Z * [new tag] cslpull77 -> cslpull77 2025-12-04T08:52:18.3763344Z * [new tag] cslpull78 -> cslpull78 2025-12-04T08:52:18.3764526Z * [new tag] cslpull79 -> cslpull79 2025-12-04T08:52:18.3765567Z * [new tag] cslpull80 -> cslpull80 2025-12-04T08:52:18.3766520Z * [new tag] cslpull81 -> cslpull81 2025-12-04T08:52:18.3767462Z * [new tag] cslpull82 -> cslpull82 2025-12-04T08:52:18.3768238Z * [new tag] cslpull83 -> cslpull83 2025-12-04T08:52:18.3769059Z * [new tag] cslpull84 -> cslpull84 2025-12-04T08:52:18.3769836Z * [new tag] cslpull85 -> cslpull85 2025-12-04T08:52:18.3770815Z * [new tag] cslpull86 -> cslpull86 2025-12-04T08:52:18.3771780Z * [new tag] cslpull87 -> cslpull87 2025-12-04T08:52:18.3772513Z * [new tag] cslpull88 -> cslpull88 2025-12-04T08:52:18.3773464Z * [new tag] cslpull89 -> cslpull89 2025-12-04T08:52:18.3774102Z * [new tag] cslpull90 -> cslpull90 2025-12-04T08:52:18.3775422Z * [new tag] cslpull91 -> cslpull91 2025-12-04T08:52:18.3776153Z * [new tag] cslpull92 -> cslpull92 2025-12-04T08:52:18.3777143Z * [new tag] flight_5 -> flight_5 2025-12-04T08:52:18.3778238Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T08:52:18.3778978Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T08:52:18.3779958Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T08:52:18.3780755Z * [new tag] forpull1 -> forpull1 2025-12-04T08:52:18.3781988Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T08:52:18.3782795Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T08:52:18.3783642Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T08:52:18.3784678Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T08:52:18.3785517Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T08:52:18.3786605Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T08:52:18.3787935Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T08:52:18.3788720Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T08:52:18.3789966Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T08:52:18.3790947Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T08:52:18.3791911Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T08:52:18.3792783Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T08:52:18.3793692Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T08:52:18.3794491Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T08:52:18.3795688Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T08:52:18.3796635Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T08:52:18.3797601Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T08:52:18.3798531Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T08:52:18.3799441Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T08:52:18.3800328Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T08:52:18.3801422Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T08:52:18.3802326Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T08:52:18.3803229Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T08:52:18.3804220Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T08:52:18.3805135Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T08:52:18.3806039Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T08:52:18.3806988Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T08:52:18.3808003Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T08:52:18.3808776Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T08:52:18.3809658Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T08:52:18.3810652Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T08:52:18.3811586Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T08:52:18.3812442Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T08:52:18.3813327Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T08:52:18.3814868Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T08:52:18.3815649Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T08:52:18.3816515Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T08:52:18.3817488Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T08:52:18.3818432Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T08:52:18.3819370Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T08:52:18.3820096Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T08:52:18.3821109Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T08:52:18.3821909Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T08:52:18.3822873Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T08:52:18.3823849Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T08:52:18.3824741Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T08:52:18.3825665Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T08:52:18.3826519Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T08:52:18.3827428Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T08:52:18.3828302Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T08:52:18.3829225Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T08:52:18.3830123Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T08:52:18.3831074Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T08:52:18.3831830Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T08:52:18.3832933Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T08:52:18.3836354Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T08:52:18.3836969Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T08:52:18.3837595Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T08:52:18.3837995Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T08:52:18.3838443Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T08:52:18.3838903Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T08:52:18.3839428Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T08:52:18.3840128Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T08:52:18.3842489Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T08:52:18.3843366Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T08:52:18.3844288Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T08:52:18.3845045Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T08:52:18.3846126Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T08:52:18.3847095Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T08:52:18.3848561Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T08:52:18.3849388Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T08:52:18.3850286Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T08:52:18.3851188Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T08:52:18.3852139Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T08:52:18.3853125Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T08:52:18.3854102Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T08:52:18.3855096Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T08:52:18.3855978Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T08:52:18.3856773Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T08:52:18.3857698Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T08:52:18.3858590Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T08:52:18.3859406Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T08:52:18.3860364Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T08:52:18.3861309Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T08:52:18.3862275Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T08:52:18.3868595Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T08:52:18.3869335Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T08:52:18.3869737Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T08:52:18.3870290Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T08:52:18.3870708Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T08:52:18.3871196Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T08:52:18.3871579Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T08:52:18.3872091Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T08:52:18.3872489Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T08:52:18.3873090Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T08:52:18.3873503Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T08:52:18.3874026Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T08:52:18.3874426Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T08:52:18.3875708Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T08:52:18.3876587Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T08:52:18.3877520Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T08:52:18.3878604Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T08:52:18.3879521Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T08:52:18.3880498Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T08:52:18.3881398Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T08:52:18.3882308Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T08:52:18.3883216Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T08:52:18.3884098Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T08:52:18.3885048Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T08:52:18.3886073Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T08:52:18.3886972Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T08:52:18.3887878Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T08:52:18.3888645Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T08:52:18.3889580Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T08:52:18.3890442Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T08:52:18.3891355Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T08:52:18.3892326Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T08:52:18.3893060Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:52:18.3893888Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T08:52:18.3894777Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T08:52:18.3895739Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T08:52:18.3896707Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T08:52:18.3897436Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T08:52:18.3898300Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T08:52:18.3899642Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T08:52:18.3900689Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T08:52:18.3901556Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T08:52:18.3902412Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T08:52:18.3903629Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T08:52:18.3904438Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T08:52:18.3905314Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T08:52:18.3906308Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T08:52:18.3907272Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T08:52:18.3908281Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T08:52:18.3909057Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T08:52:18.3909866Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T08:52:18.3910779Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T08:52:18.3911774Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T08:52:18.3912698Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T08:52:18.3913615Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T08:52:18.3914560Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T08:52:18.3915425Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T08:52:18.3916347Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T08:52:18.3917351Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T08:52:18.3918341Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T08:52:18.3919345Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T08:52:18.3920216Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T08:52:18.3921262Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T08:52:18.3922197Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T08:52:18.3923164Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T08:52:18.3924067Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T08:52:18.3924849Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T08:52:18.3925800Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T08:52:18.3926704Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T08:52:18.3927647Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T08:52:18.3928446Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T08:52:18.3929249Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T08:52:18.3930198Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T08:52:18.3931231Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T08:52:18.3932116Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T08:52:18.3933056Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T08:52:18.3933969Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T08:52:18.3935409Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T08:52:18.3936305Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T08:52:18.3937196Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T08:52:18.3938223Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T08:52:18.3939202Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T08:52:18.3940213Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T08:52:18.3941143Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T08:52:18.3942281Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T08:52:18.3943242Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T08:52:18.3944157Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T08:52:18.3945092Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T08:52:18.3946140Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T08:52:18.3947231Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T08:52:18.3948060Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T08:52:18.3949346Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T08:52:18.3950190Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T08:52:18.3951152Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T08:52:18.3952128Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T08:52:18.3952946Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T08:52:18.3954263Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T08:52:18.3955116Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T08:52:18.3955940Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T08:52:18.3956938Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T08:52:18.3958005Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T08:52:18.3958835Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T08:52:18.3959791Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T08:52:18.3960706Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T08:52:18.3961737Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T08:52:18.3962677Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T08:52:18.3963529Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T08:52:18.3964491Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T08:52:18.3965445Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T08:52:18.3966380Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T08:52:18.3967300Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T08:52:18.3968252Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T08:52:18.3969295Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T08:52:18.3970292Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T08:52:18.3971153Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T08:52:18.3972273Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T08:52:18.3973103Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T08:52:18.3974388Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T08:52:18.3975387Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T08:52:18.3976146Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T08:52:18.3977148Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T08:52:18.3978112Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T08:52:18.3979105Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T08:52:18.3980040Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T08:52:18.3980969Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T08:52:18.3982415Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T08:52:18.3983307Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T08:52:18.3984227Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T08:52:18.3985123Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T08:52:18.3986048Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T08:52:18.3986992Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T08:52:18.3987951Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T08:52:18.3988782Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T08:52:18.3989701Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T08:52:18.3990727Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T08:52:18.3991508Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T08:52:18.3992506Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T08:52:18.3993436Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T08:52:18.3994910Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T08:52:18.3995798Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T08:52:18.3996611Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:52:18.3997352Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T08:52:18.3998465Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T08:52:18.3999206Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T08:52:18.4000198Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T08:52:18.4001167Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T08:52:18.4001912Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T08:52:18.4002705Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T08:52:18.4003549Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T08:52:18.4004712Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T08:52:18.4005272Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T08:52:18.4006543Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T08:52:18.4007251Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T08:52:18.4008259Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T08:52:18.4009019Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T08:52:18.4010080Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T08:52:18.4011050Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T08:52:18.4011774Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T08:52:18.4012568Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T08:52:18.4013412Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T08:52:18.4014239Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T08:52:18.4015213Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T08:52:18.4015857Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T08:52:18.4016775Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T08:52:18.4017718Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T08:52:18.4018747Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T08:52:18.4019750Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T08:52:18.4020544Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T08:52:18.4021197Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T08:52:18.4022217Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T08:52:18.4022835Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T08:52:18.4023543Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T08:52:18.4024206Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T08:52:18.4025232Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T08:52:18.4026090Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T08:52:18.4027183Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T08:52:18.4028218Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T08:52:18.4029236Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T08:52:18.4030235Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T08:52:18.4030808Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T08:52:18.4031432Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T08:52:18.4032477Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T08:52:18.4033289Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T08:52:18.4034303Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T08:52:18.4035372Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T08:52:18.4036120Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T08:52:18.4037072Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T08:52:18.4038181Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T08:52:18.4038792Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T08:52:18.4039565Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T08:52:18.4040468Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T08:52:18.4041463Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T08:52:18.4042429Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T08:52:18.4043421Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T08:52:18.4044367Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T08:52:18.4044957Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T08:52:18.4045955Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T08:52:18.4046888Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T08:52:18.4047703Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T08:52:18.4048598Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T08:52:18.4049663Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T08:52:18.4050256Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T08:52:18.4050983Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T08:52:18.4051959Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T08:52:18.4052728Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T08:52:18.4053525Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T08:52:18.4054487Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T08:52:18.4055271Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T08:52:18.4056310Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T08:52:18.4056950Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T08:52:18.4057767Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T08:52:18.4058774Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T08:52:18.4059370Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T08:52:18.4060402Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T08:52:18.4061418Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T08:52:18.4062754Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T08:52:18.4063787Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T08:52:18.4064556Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T08:52:18.4065241Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T08:52:18.4066188Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T08:52:18.4066806Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T08:52:18.4067582Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T08:52:18.4068530Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T08:52:18.4069474Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T08:52:18.4070417Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T08:52:18.4071419Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T08:52:18.4072187Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T08:52:18.4073125Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T08:52:18.4073721Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T08:52:18.4074701Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T08:52:18.4075641Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T08:52:18.4076664Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T08:52:18.4077624Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T08:52:18.4078308Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T08:52:18.4079246Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T08:52:18.4080279Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T08:52:18.4081225Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T08:52:18.4081984Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T08:52:18.4082785Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T08:52:18.4083516Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T08:52:18.4084600Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T08:52:18.4085554Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T08:52:18.4086316Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T08:52:18.4087054Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T08:52:18.4087772Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T08:52:18.4088828Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T08:52:18.4089431Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T08:52:18.4090135Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T08:52:18.4091528Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T08:52:18.4092270Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T08:52:18.4093209Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T08:52:18.4094129Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T08:52:18.4095074Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T08:52:18.4096038Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T08:52:18.4096648Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T08:52:18.4097590Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T08:52:18.4098704Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T08:52:18.4099432Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T08:52:18.4100384Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T08:52:18.4101188Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T08:52:18.4102203Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T08:52:18.4103221Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T08:52:18.4103984Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T08:52:18.4104985Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T08:52:18.4105581Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T08:52:18.4106687Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T08:52:18.4107618Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T08:52:18.4108250Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T08:52:18.4109086Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T08:52:18.4109842Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T08:52:18.4111280Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T08:52:18.4112086Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T08:52:18.4113166Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T08:52:18.4114213Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T08:52:18.4115147Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T08:52:18.4116006Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T08:52:18.4116698Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T08:52:18.4117846Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T08:52:18.4118690Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T08:52:18.4120199Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T08:52:18.4121281Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T08:52:18.4122248Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T08:52:18.4123033Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T08:52:18.4123760Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T08:52:18.4124787Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T08:52:18.4125633Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T08:52:18.4126612Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T08:52:18.4127298Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T08:52:18.4128219Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T08:52:18.4129185Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T08:52:18.4130182Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T08:52:18.4130854Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T08:52:18.4131892Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T08:52:18.4132623Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T08:52:18.4133639Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T08:52:18.4134276Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T08:52:18.4134917Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T08:52:18.4135948Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T08:52:18.4136903Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T08:52:18.4137576Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T08:52:18.4138235Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T08:52:18.4139015Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T08:52:18.4140195Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T08:52:18.4142810Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T08:52:18.4143609Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T08:52:18.4144681Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T08:52:18.4145515Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T08:52:18.4146672Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T08:52:18.4147493Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T08:52:18.4148205Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T08:52:18.4149240Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T08:52:18.4150198Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T08:52:18.4151024Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T08:52:18.4152072Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T08:52:18.4152623Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T08:52:18.4153624Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T08:52:18.4154576Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T08:52:18.4155214Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T08:52:18.4155917Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T08:52:18.4156940Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T08:52:18.4157973Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T08:52:18.4158993Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T08:52:18.4159843Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T08:52:18.4160783Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T08:52:18.4161669Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T08:52:18.4162647Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T08:52:18.4163424Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T08:52:18.4164494Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T08:52:18.4165314Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T08:52:18.4166341Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T08:52:18.4167140Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T08:52:18.4168178Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T08:52:18.4168813Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T08:52:18.4169916Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T08:52:18.4170779Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T08:52:18.4171771Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T08:52:18.4172798Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T08:52:18.4173650Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T08:52:18.4174326Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T08:52:18.4175316Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T08:52:18.4176297Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T08:52:18.4177126Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T08:52:18.4178127Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T08:52:18.4179492Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T08:52:18.4180454Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T08:52:18.4181422Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T08:52:18.4182230Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T08:52:18.4182956Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T08:52:18.4183655Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T08:52:18.4184471Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T08:52:18.4185424Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T08:52:18.4186387Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T08:52:18.4187383Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T08:52:18.4188197Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T08:52:18.4189355Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T08:52:18.4190426Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T08:52:18.4191392Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T08:52:18.4192446Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T08:52:18.4193279Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T08:52:18.4194446Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T08:52:18.4195595Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T08:52:18.4196398Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T08:52:18.4197473Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T08:52:18.4198493Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T08:52:18.4199424Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T08:52:18.4200323Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T08:52:18.4201148Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T08:52:18.4202180Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T08:52:18.4203268Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T08:52:18.4204314Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T08:52:18.4204958Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T08:52:18.4205984Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T08:52:18.4206969Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T08:52:18.4207971Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T08:52:18.4208958Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T08:52:18.4209898Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T08:52:18.4210620Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T08:52:18.4211608Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T08:52:18.4212406Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T08:52:18.4213528Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T08:52:18.4214471Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T08:52:18.4215593Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T08:52:18.4216424Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T08:52:18.4217426Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T08:52:18.4218456Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T08:52:18.4219456Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T08:52:18.4220307Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T08:52:18.4221310Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T08:52:18.4222283Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T08:52:18.4223492Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T08:52:18.4224544Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T08:52:18.4225392Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T08:52:18.4226371Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T08:52:18.4227584Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T08:52:18.4228525Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T08:52:18.4229652Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T08:52:18.4230357Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T08:52:18.4231078Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T08:52:18.4232112Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T08:52:18.4233105Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T08:52:18.4234406Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T08:52:18.4235309Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T08:52:18.4236120Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T08:52:18.4237554Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T08:52:18.4238408Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T08:52:18.4239397Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T08:52:18.4240312Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T08:52:18.4241354Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T08:52:18.4242166Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T08:52:18.4243381Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T08:52:18.4244408Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T08:52:18.4245242Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T08:52:18.4246209Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T08:52:18.4247239Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T08:52:18.4248031Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T08:52:18.4249123Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T08:52:18.4249851Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T08:52:18.4250859Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T08:52:18.4251907Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T08:52:18.4252718Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T08:52:18.4253738Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T08:52:18.4254713Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T08:52:18.4255424Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T08:52:18.4256404Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T08:52:18.4257226Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T08:52:18.4258213Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T08:52:18.4259050Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T08:52:18.4260162Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T08:52:18.4260872Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T08:52:18.4262169Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T08:52:18.4262864Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T08:52:18.4263911Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T08:52:18.4264773Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T08:52:18.4265780Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T08:52:18.4266594Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T08:52:18.4267473Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T08:52:18.4268498Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T08:52:18.4269290Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T08:52:18.4270349Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T08:52:18.4271202Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T08:52:18.4272108Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T08:52:18.4272987Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T08:52:18.4273867Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T08:52:18.4274765Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T08:52:18.4275653Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T08:52:18.4276830Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T08:52:18.4277710Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T08:52:18.4278778Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T08:52:18.4279633Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T08:52:18.4280507Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T08:52:18.4281575Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T08:52:18.4282315Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T08:52:18.4283480Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T08:52:18.4284302Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T08:52:18.4285191Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T08:52:18.4286059Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T08:52:18.4287056Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T08:52:18.4287924Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T08:52:18.4288938Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T08:52:18.4289806Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T08:52:18.4290565Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T08:52:18.4291591Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T08:52:18.4292458Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T08:52:18.4293599Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T08:52:18.4294390Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T08:52:18.4295226Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T08:52:18.4296106Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T08:52:18.4297473Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T08:52:18.4298373Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T08:52:18.4299142Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T08:52:18.4300172Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T08:52:18.4301082Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T08:52:18.4302108Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T08:52:18.4302938Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T08:52:18.4303782Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T08:52:18.4304631Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T08:52:18.4305509Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T08:52:18.4306632Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T08:52:18.4307516Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T08:52:18.4308416Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T08:52:18.4309450Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T08:52:18.4310311Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T08:52:18.4311194Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T08:52:18.4312109Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T08:52:18.4312982Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T08:52:18.4314082Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T08:52:18.4314898Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T08:52:18.4315759Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T08:52:18.4316799Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T08:52:18.4317668Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T08:52:18.4318737Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T08:52:18.4319919Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T08:52:18.4320728Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T08:52:18.4321751Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T08:52:18.4322643Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T08:52:18.4323399Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T08:52:18.4324280Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T08:52:18.4325169Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T08:52:18.4326164Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T08:52:18.4327117Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T08:52:18.4327891Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T08:52:18.4329061Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T08:52:18.4329955Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T08:52:18.4330852Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T08:52:18.4331592Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T08:52:18.4332666Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T08:52:18.4333510Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T08:52:18.4334549Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T08:52:18.4335318Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T08:52:18.4336376Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T08:52:18.4337401Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T08:52:18.4338299Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T08:52:18.4339149Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T08:52:18.4340273Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T08:52:18.4341266Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T08:52:18.4342277Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T08:52:18.4343050Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T08:52:18.4343922Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T08:52:18.4344919Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T08:52:18.4345794Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T08:52:18.4346648Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T08:52:18.4347521Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T08:52:18.4348582Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T08:52:18.4349443Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T08:52:18.4350430Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T08:52:18.4351492Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T08:52:18.4352524Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T08:52:18.4353346Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T08:52:18.4354208Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T08:52:18.4355190Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T08:52:18.4356107Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T08:52:18.4357420Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T08:52:18.4358188Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T08:52:18.4359071Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T08:52:18.4360127Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T08:52:18.4361093Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T08:52:18.4361883Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T08:52:18.4362921Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T08:52:18.4363825Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T08:52:18.4364844Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T08:52:18.4365653Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T08:52:18.4366637Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T08:52:18.4367982Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T08:52:18.4368820Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T08:52:18.4369723Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T08:52:18.4370602Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T08:52:18.4371705Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T08:52:18.4373047Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T08:52:18.4373915Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T08:52:18.4374778Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T08:52:18.4375652Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T08:52:18.4376673Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T08:52:18.4377523Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T08:52:18.4378279Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T08:52:18.4379186Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T08:52:18.4380055Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T08:52:18.4381063Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T08:52:18.4381890Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T08:52:18.4382960Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T08:52:18.4383792Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T08:52:18.4384799Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T08:52:18.4385624Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T08:52:18.4386519Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T08:52:18.4387405Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T08:52:18.4388435Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T08:52:18.4390738Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T08:52:18.4391764Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T08:52:18.4392561Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T08:52:18.4393600Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T08:52:18.4394447Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T08:52:18.4395460Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T08:52:18.4396402Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T08:52:18.4397307Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T08:52:18.4398314Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T08:52:18.4399326Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T08:52:18.4400161Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T08:52:18.4401054Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T08:52:18.4402098Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T08:52:18.4403120Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T08:52:18.4403932Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T08:52:18.4404810Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T08:52:18.4405798Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T08:52:18.4406699Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T08:52:18.4407569Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T08:52:18.4408604Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T08:52:18.4409469Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T08:52:18.4410480Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T08:52:18.4411290Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T08:52:18.4412275Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T08:52:18.4413335Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T08:52:18.4414385Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T08:52:18.4415153Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T08:52:18.4416023Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T08:52:18.4417038Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T08:52:18.4418106Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T08:52:18.4419346Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T08:52:18.4420240Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T08:52:18.4421237Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T08:52:18.4422140Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T08:52:18.4423129Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T08:52:18.4424117Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T08:52:18.4424965Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T08:52:18.4425851Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T08:52:18.4426905Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T08:52:18.4427776Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T08:52:18.4428678Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T08:52:18.4429535Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T08:52:18.4431036Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T08:52:18.4431869Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T08:52:18.4432743Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T08:52:18.4433776Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T08:52:18.4434579Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T08:52:18.4435748Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T08:52:18.4436346Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T08:52:18.4437346Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T08:52:18.4438345Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T08:52:18.4439283Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T08:52:18.4440233Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T08:52:18.4444597Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T08:52:18.4445586Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T08:52:18.4446620Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T08:52:18.4447516Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T08:52:18.4448637Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T08:52:18.4449669Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T08:52:18.4450614Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T08:52:18.4451421Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T08:52:18.4452442Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T08:52:18.4453552Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T08:52:18.4454469Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T08:52:18.4455405Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T08:52:18.4456193Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T08:52:18.4457269Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T08:52:18.4458159Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T08:52:18.4459113Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T08:52:18.4459918Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T08:52:18.4461026Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T08:52:18.4461995Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T08:52:18.4462940Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T08:52:18.4463738Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T08:52:18.4464699Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T08:52:18.4465665Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T08:52:18.4466612Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T08:52:18.4467474Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T08:52:18.4468487Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T08:52:18.4469419Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T08:52:18.4470412Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T08:52:18.4471223Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T08:52:18.4472211Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T08:52:18.4473102Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T08:52:18.4474042Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T08:52:18.4474828Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T08:52:18.4476043Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T08:52:18.4476990Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T08:52:18.4478050Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T08:52:18.4479084Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T08:52:18.4480115Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T08:52:18.4481081Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T08:52:18.4482097Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T08:52:18.4483288Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T08:52:18.4484667Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T08:52:18.4485687Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T08:52:18.4486773Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T08:52:18.4488073Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T08:52:18.4489032Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T08:52:18.4489980Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T08:52:18.4490869Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T08:52:18.4491895Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T08:52:18.4492604Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T08:52:18.4493703Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T08:52:18.4494879Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T08:52:18.4495874Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T08:52:18.4496864Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T08:52:18.4497820Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T08:52:18.4498798Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T08:52:18.4499613Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T08:52:18.4500603Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T08:52:18.4501350Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T08:52:18.4502521Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T08:52:18.4503687Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T08:52:18.4504482Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T08:52:18.4505521Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T08:52:18.4506452Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T08:52:18.4507395Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T08:52:18.4508336Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T08:52:18.4509246Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T08:52:18.4510302Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T08:52:18.4511313Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T08:52:18.4512296Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T08:52:18.4513282Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T08:52:18.4513995Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T08:52:18.4514931Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T08:52:18.4515726Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T08:52:18.4516721Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T08:52:18.4517744Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T08:52:18.4518851Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T08:52:18.4519743Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T08:52:18.4520739Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T08:52:18.4521647Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T08:52:18.4522548Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T08:52:18.4523531Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T08:52:18.4524548Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T08:52:18.4525529Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T08:52:18.4526521Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T08:52:18.4527548Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T08:52:18.4528612Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T08:52:18.4529584Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T08:52:18.4530544Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T08:52:18.4531491Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T08:52:18.4532488Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T08:52:18.4533534Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T08:52:18.4534302Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T08:52:18.4535348Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T08:52:18.4536357Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T08:52:18.4537301Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T08:52:18.4538307Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T08:52:18.4539679Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T08:52:18.4540873Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T08:52:18.4541802Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T08:52:18.4542859Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T08:52:18.4543880Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T08:52:18.4544876Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T08:52:18.4545836Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T08:52:18.4546798Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T08:52:18.4548159Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T08:52:18.4549116Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T08:52:18.4550096Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T08:52:18.4551119Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T08:52:18.4552099Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T08:52:18.4553033Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T08:52:18.4553903Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T08:52:18.4555114Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T08:52:18.4556096Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T08:52:18.4557082Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T08:52:18.4558190Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T08:52:18.4559166Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T08:52:18.4560147Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T08:52:18.4561142Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T08:52:18.4562115Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T08:52:18.4563065Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T08:52:18.4564065Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T08:52:18.4564996Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T08:52:18.4565956Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T08:52:18.4566974Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T08:52:18.4568022Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T08:52:18.4568984Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T08:52:18.4569908Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T08:52:18.4570874Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T08:52:18.4571845Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T08:52:18.4572732Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T08:52:18.4573708Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T08:52:18.4574886Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T08:52:18.4575920Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T08:52:18.4576888Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T08:52:18.4577857Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T08:52:18.4578911Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T08:52:18.4579952Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T08:52:18.4580946Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T08:52:18.4581963Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T08:52:18.4582941Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T08:52:18.4583909Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T08:52:18.4584853Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T08:52:18.4585853Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T08:52:18.4586852Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T08:52:18.4587831Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T08:52:18.4588778Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T08:52:18.4589635Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T08:52:18.4590537Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T08:52:18.4591869Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T08:52:18.4592640Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T08:52:18.4593688Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T08:52:18.4594745Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T08:52:18.4595708Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T08:52:18.4596677Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T08:52:18.4597673Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T08:52:18.4598746Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T08:52:18.4599743Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T08:52:18.4602762Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T08:52:18.4603032Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T08:52:18.4603284Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T08:52:18.4603826Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T08:52:18.4605012Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T08:52:18.4606056Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T08:52:18.4606902Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T08:52:18.4607965Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T08:52:18.4609058Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T08:52:18.4609743Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T08:52:18.4611033Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T08:52:18.4612272Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T08:52:18.4613302Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T08:52:18.4614357Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T08:52:18.4615109Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T08:52:18.4616277Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T08:52:18.4617260Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T08:52:18.4618148Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T08:52:18.4619166Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T08:52:18.4620091Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T08:52:18.4620885Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T08:52:18.4621703Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T08:52:18.4622543Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T08:52:18.4623720Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T08:52:18.4624706Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T08:52:18.4625481Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T08:52:18.4626820Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T08:52:18.4627821Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T08:52:18.4628712Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T08:52:18.4629789Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T08:52:18.4630769Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T08:52:18.4631847Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T08:52:18.4632715Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T08:52:18.4633769Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T08:52:18.4635147Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T08:52:18.4636226Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T08:52:18.4637100Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T08:52:18.4638314Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T08:52:18.4639458Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T08:52:18.4640693Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T08:52:18.4641571Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T08:52:18.4642684Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T08:52:18.4643716Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T08:52:18.4644726Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T08:52:18.4645692Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T08:52:18.4646678Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T08:52:18.4647777Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T08:52:18.4648703Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T08:52:18.4649818Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T08:52:18.4650868Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T08:52:18.4651919Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T08:52:18.4652971Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T08:52:18.4654012Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T08:52:18.4654982Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T08:52:18.4655942Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T08:52:18.4656929Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T08:52:18.4657703Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T08:52:18.4658739Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T08:52:18.4659702Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T08:52:18.4660628Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T08:52:18.4661568Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T08:52:18.4662582Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T08:52:18.4663358Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T08:52:18.4664410Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T08:52:18.4665381Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T08:52:18.4666336Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T08:52:18.4667323Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T08:52:18.4668308Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T08:52:18.4669264Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T08:52:18.4670304Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T08:52:18.4671352Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T08:52:18.4672431Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T08:52:18.4673359Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T08:52:18.4674324Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T08:52:18.4675297Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T08:52:18.4676731Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T08:52:18.4677757Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T08:52:18.4678827Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T08:52:18.4679805Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T08:52:18.4680834Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T08:52:18.4681741Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T08:52:18.4682904Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T08:52:18.4683939Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T08:52:18.4684959Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T08:52:18.4685910Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T08:52:18.4686978Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T08:52:18.4688026Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T08:52:18.4689198Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T08:52:18.4690264Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T08:52:18.4691244Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T08:52:18.4692245Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T08:52:18.4693216Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T08:52:18.4694294Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T08:52:18.4695301Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T08:52:18.4696509Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T08:52:18.4697511Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T08:52:18.4698514Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T08:52:18.4699309Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T08:52:18.4700386Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T08:52:18.4701350Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T08:52:18.4702348Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T08:52:18.4703327Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T08:52:18.4704501Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T08:52:18.4706012Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T08:52:18.4706991Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T08:52:18.4708003Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T08:52:18.4708796Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T08:52:18.4709888Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T08:52:18.4710866Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T08:52:18.4711916Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T08:52:18.4712900Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T08:52:18.4713677Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T08:52:18.4714731Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T08:52:18.4715743Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T08:52:18.4716552Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T08:52:18.4717745Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T08:52:18.4718773Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T08:52:18.4719849Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T08:52:18.4720907Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T08:52:18.4721900Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T08:52:18.4723020Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T08:52:18.4724034Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T08:52:18.4725052Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T08:52:18.4726032Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T08:52:18.4726786Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T08:52:18.4727856Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T08:52:18.4728881Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T08:52:18.4729840Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T08:52:18.4730958Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T08:52:18.4731976Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T08:52:18.4732995Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T08:52:18.4734010Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T08:52:18.4734997Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T08:52:18.4736037Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T08:52:18.4737136Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T08:52:18.4738182Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T08:52:18.4738958Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T08:52:18.4740194Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T08:52:18.4741223Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T08:52:18.4742614Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T08:52:18.4743639Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T08:52:18.4744594Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T08:52:18.4745654Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T08:52:18.4746656Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T08:52:18.4747773Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T08:52:18.4748751Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T08:52:18.4749755Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T08:52:18.4750768Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T08:52:18.4751791Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T08:52:18.4752913Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T08:52:18.4753991Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T08:52:18.4754976Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T08:52:18.4755901Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T08:52:18.4756690Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T08:52:18.4758009Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T08:52:18.4758787Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T08:52:18.4759855Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T08:52:18.4760843Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T08:52:18.4761811Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T08:52:18.4762853Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T08:52:18.4763839Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T08:52:18.4764823Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T08:52:18.4766267Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T08:52:18.4767295Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T08:52:18.4768412Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T08:52:18.4769307Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T08:52:18.4770382Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T08:52:18.4771435Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T08:52:18.4772288Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T08:52:18.4773203Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T08:52:18.4774290Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T08:52:18.4775290Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T08:52:18.4776996Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T08:52:18.4778034Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T08:52:18.4779010Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T08:52:18.4780010Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T08:52:18.4780983Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T08:52:18.4782050Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T08:52:18.4783203Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T08:52:18.4784236Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T08:52:18.4785290Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T08:52:18.4786089Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T08:52:18.4787164Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T08:52:18.4788143Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T08:52:18.4789168Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T08:52:18.4790265Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T08:52:18.4791061Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T08:52:18.4792104Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T08:52:18.4793106Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T08:52:18.4794136Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T08:52:18.4795314Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T08:52:18.4796232Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T08:52:18.4797281Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T08:52:18.4798512Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T08:52:18.4799547Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T08:52:18.4800365Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T08:52:18.4801413Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T08:52:18.4802489Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T08:52:18.4803430Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T08:52:18.4804242Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T08:52:18.4805138Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T08:52:18.4806138Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T08:52:18.4807156Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T08:52:18.4808542Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T08:52:18.4809831Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T08:52:18.4810917Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T08:52:18.4811950Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T08:52:18.4812995Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T08:52:18.4813976Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T08:52:18.4815001Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T08:52:18.4816049Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T08:52:18.4816851Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T08:52:18.4817981Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T08:52:18.4818983Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T08:52:18.4819953Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T08:52:18.4820986Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T08:52:18.4821989Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T08:52:18.4822996Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T08:52:18.4824044Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T08:52:18.4825008Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T08:52:18.4826012Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T08:52:18.4826998Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T08:52:18.4828003Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T08:52:18.4829078Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T08:52:18.4830062Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T08:52:18.4831036Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T08:52:18.4832053Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T08:52:18.4833158Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T08:52:18.4834093Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T08:52:18.4835233Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T08:52:18.4836304Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T08:52:18.4837330Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T08:52:18.4838532Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T08:52:18.4839584Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T08:52:18.4840783Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T08:52:18.4841793Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T08:52:18.4842586Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T08:52:18.4843829Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T08:52:18.4844811Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T08:52:18.4845795Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T08:52:18.4846792Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T08:52:18.4847786Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T08:52:18.4848706Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T08:52:18.4849509Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T08:52:18.4850496Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T08:52:18.4851527Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T08:52:18.4852515Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T08:52:18.4853506Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T08:52:18.4854528Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T08:52:18.4855479Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T08:52:18.4856472Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T08:52:18.4857461Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T08:52:18.4858494Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T08:52:18.4859503Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T08:52:18.4860243Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T08:52:18.4861288Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T08:52:18.4862475Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T08:52:18.4863451Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T08:52:18.4864427Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T08:52:18.4865594Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T08:52:18.4866356Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T08:52:18.4867442Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T08:52:18.4868651Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T08:52:18.4869628Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T08:52:18.4870571Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T08:52:18.4871552Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T08:52:18.4872774Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T08:52:18.4874130Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T08:52:18.4875169Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T08:52:18.4876157Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T08:52:18.4877140Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T08:52:18.4878197Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T08:52:18.4879259Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T08:52:18.4880259Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T08:52:18.4881028Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T08:52:18.4882077Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T08:52:18.4883069Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T08:52:18.4883838Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T08:52:18.4884869Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T08:52:18.4885893Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T08:52:18.4886826Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T08:52:18.4887841Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T08:52:18.4888767Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T08:52:18.4889755Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T08:52:18.4890764Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T08:52:18.4891514Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T08:52:18.4892548Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T08:52:18.4893794Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T08:52:18.4894740Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T08:52:18.4895678Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T08:52:18.4896432Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T08:52:18.4897365Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T08:52:18.4898084Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T08:52:18.4899001Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T08:52:18.4899812Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T08:52:18.4900735Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T08:52:18.4901454Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T08:52:18.4902249Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T08:52:18.4903217Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T08:52:18.4903927Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T08:52:18.4904736Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T08:52:18.4905658Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T08:52:18.4906395Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T08:52:18.4907265Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T08:52:18.4908009Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T08:52:18.4908935Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T08:52:18.4909672Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T08:52:18.4910606Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T08:52:18.4911306Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T08:52:18.4912196Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T08:52:18.4912972Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T08:52:18.4913766Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T08:52:18.4914593Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T08:52:18.4915598Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T08:52:18.4916633Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T08:52:18.4917891Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T08:52:18.5668867Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T08:52:18.5694393Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:52:18.5697900Z ##[endgroup] 2025-12-04T08:52:18.5698309Z ##[group]Determining the checkout info 2025-12-04T08:52:18.5699082Z ##[endgroup] 2025-12-04T08:52:18.5702705Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T08:52:18.5731893Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T08:52:18.5765906Z ##[group]Checking out the ref 2025-12-04T08:52:18.5768948Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:52:19.6094156Z Updating files: 81% (16423/20121) 2025-12-04T08:52:19.6297147Z Updating files: 82% (16500/20121) 2025-12-04T08:52:19.6441450Z Updating files: 83% (16701/20121) 2025-12-04T08:52:19.6574329Z Updating files: 84% (16902/20121) 2025-12-04T08:52:19.6727565Z Updating files: 85% (17103/20121) 2025-12-04T08:52:19.6876938Z Updating files: 86% (17305/20121) 2025-12-04T08:52:19.7012349Z Updating files: 87% (17506/20121) 2025-12-04T08:52:19.7119065Z Updating files: 88% (17707/20121) 2025-12-04T08:52:19.7249502Z Updating files: 89% (17908/20121) 2025-12-04T08:52:19.7415143Z Updating files: 90% (18109/20121) 2025-12-04T08:52:19.7525268Z Updating files: 91% (18311/20121) 2025-12-04T08:52:19.7672183Z Updating files: 92% (18512/20121) 2025-12-04T08:52:19.7849472Z Updating files: 93% (18713/20121) 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You can look around, make experimental 2025-12-04T08:52:19.9228239Z changes and commit them, and you can discard any commits you make in this 2025-12-04T08:52:19.9228808Z state without impacting any branches by switching back to a branch. 2025-12-04T08:52:19.9229142Z 2025-12-04T08:52:19.9229366Z If you want to create a new branch to retain commits you create, you may 2025-12-04T08:52:19.9229889Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T08:52:19.9230199Z 2025-12-04T08:52:19.9230311Z git switch -c 2025-12-04T08:52:19.9230513Z 2025-12-04T08:52:19.9230632Z Or undo this operation with: 2025-12-04T08:52:19.9230813Z 2025-12-04T08:52:19.9230913Z git switch - 2025-12-04T08:52:19.9231043Z 2025-12-04T08:52:19.9231284Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T08:52:19.9231655Z 2025-12-04T08:52:19.9231929Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T08:52:19.9308269Z ##[endgroup] 2025-12-04T08:52:19.9308863Z ##[group]Setting up auth for fetching submodules 2025-12-04T08:52:19.9309503Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:52:19.9352772Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T08:52:19.9378927Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T08:52:19.9403064Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T08:52:19.9423638Z ##[endgroup] 2025-12-04T08:52:19.9424085Z ##[group]Fetching submodules 2025-12-04T08:52:19.9427032Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T08:52:19.9760211Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T08:52:20.0081917Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T08:52:20.0084023Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T08:52:20.0086664Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T08:52:20.0089268Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T08:52:20.0092017Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T08:52:20.0095130Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T08:52:20.0097732Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T08:52:20.0100762Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T08:52:20.0104129Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T08:52:20.0107966Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T08:52:20.0111537Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T08:52:20.0115297Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T08:52:20.0119389Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T08:52:20.0123405Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T08:52:20.0127270Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T08:52:20.0132131Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T08:52:20.0137877Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T08:52:20.0142547Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T08:52:20.0147137Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:52:20.0151429Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T08:52:20.0156117Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T08:52:20.0160798Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T08:52:20.0165594Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T08:52:20.0170412Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T08:52:20.0175461Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T08:52:20.0180443Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T08:52:20.0185557Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T08:52:20.0190675Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T08:52:20.0196279Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T08:52:20.0201538Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T08:52:20.0207089Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T08:52:20.0212737Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T08:52:20.0218541Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T08:52:20.0225636Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T08:52:20.0231622Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T08:52:20.0237554Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T08:52:20.0245086Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T08:52:20.0274131Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T08:52:20.2509835Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T08:52:20.2511453Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T08:52:20.2573844Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T08:52:32.1564687Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T08:52:32.1566423Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T08:52:32.1568093Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T08:52:32.1569715Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T08:52:32.1571814Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T08:52:32.1573548Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T08:52:32.1575304Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T08:52:32.1577087Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T08:52:32.1578843Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T08:52:32.1580491Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T08:52:32.1581985Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T08:52:32.1583621Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T08:52:32.1585452Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T08:52:32.1587107Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T08:52:32.1588897Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T08:52:32.1590379Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T08:52:32.1592007Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T08:52:32.1593747Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T08:52:32.1595847Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T08:52:32.1597579Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T08:52:32.1599129Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T08:52:32.1600688Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T08:52:32.1602280Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T08:52:32.1818748Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T08:52:54.6518644Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T08:52:54.6520466Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T08:52:54.6842190Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T08:52:54.6843684Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T08:52:54.6845070Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T08:52:54.6846430Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T08:52:54.7520346Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T08:53:06.3253871Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T08:53:06.3254657Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T08:53:06.3411809Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T08:53:06.3534814Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T08:53:06.3627939Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T08:53:06.3894073Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T08:53:06.4725060Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T08:53:06.5302197Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T08:53:07.2651908Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T08:53:07.4528509Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T08:53:07.4549725Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:53:07.4576286Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T08:53:12.5453875Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T08:53:12.5689783Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T08:53:12.9221664Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:53:12.9730982Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T08:53:13.0685449Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T08:53:13.1161113Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T08:53:13.7918498Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T08:53:13.9491253Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T08:53:13.9513722Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T08:53:13.9516448Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:53:13.9519376Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:53:13.9522322Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T08:53:13.9525593Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T08:53:13.9530512Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:53:13.9533065Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T08:53:13.9561626Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T08:53:15.7853154Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T08:53:15.7854276Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T08:53:15.7855388Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T08:53:15.8854061Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T08:53:19.9111587Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T08:53:20.0112684Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T08:53:23.6960738Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T08:53:24.0492949Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:53:24.1496738Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T08:53:24.7800171Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T08:53:24.8265633Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:53:24.8382851Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T08:53:24.9395688Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T08:53:25.0098970Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T08:53:25.0115542Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:53:25.0117894Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:53:25.0144394Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T08:53:29.8612577Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T08:53:30.1084883Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T08:53:30.6699498Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T08:53:30.8098730Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T08:53:30.8396166Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T08:53:30.8793002Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T08:53:30.9047036Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T08:53:30.9494065Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:53:30.9622567Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T08:53:30.9638320Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T08:53:30.9663075Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T08:53:49.0847511Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T08:53:49.1049154Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T08:53:49.1896334Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T08:53:49.1915560Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:53:49.1916907Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:53:49.1920143Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:53:49.1946830Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T08:53:50.0980095Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T08:53:51.0149649Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T08:53:51.1056365Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T08:53:51.1073749Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:53:51.1076304Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:53:51.1079328Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:53:51.1082070Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:53:51.1084913Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:53:51.1088018Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:53:51.1091276Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:53:51.1094456Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:53:51.1097870Z 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' 2025-12-04T08:53:51.1126532Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T08:53:53.5999752Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T08:53:53.6002118Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T08:53:53.6004397Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T08:53:53.6006778Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T08:53:53.6009156Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T08:53:53.6011492Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T08:53:53.6013797Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T08:53:53.7000509Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T08:54:00.7524452Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T08:54:00.7706559Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T08:54:00.8078230Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T08:54:00.8215303Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T08:54:00.8230340Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:54:00.8258356Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-12-04T08:54:01.0991506Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-12-04T08:54:01.1182051Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-12-04T08:54:01.1642566Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:54:01.2669363Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-12-04T08:54:01.2839590Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:54:26.3468219Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-12-04T08:54:26.3751470Z Entering 'android/libs/fbjni' 2025-12-04T08:54:26.3802572Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-12-04T08:54:26.3818786Z Entering 'third_party/FP16' 2025-12-04T08:54:26.3869061Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-12-04T08:54:26.3884963Z Entering 'third_party/FXdiv' 2025-12-04T08:54:26.3934590Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-12-04T08:54:26.3952008Z Entering 'third_party/NNPACK' 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2025-12-04T08:54:27.2641896Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:54:27.2680250Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:54:27.2719932Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:54:27.2759133Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:54:27.2797942Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:54:27.2837916Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:54:27.2878549Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:54:27.2918340Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:54:27.2977426Z Entering 'third_party/pocketfft' 2025-12-04T08:54:27.3018041Z Entering 'third_party/protobuf' 2025-12-04T08:54:27.3061499Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:54:27.3103974Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:54:27.3144946Z Entering 'third_party/psimd' 2025-12-04T08:54:27.3185806Z Entering 'third_party/pthreadpool' 2025-12-04T08:54:27.3227535Z Entering 'third_party/pybind11' 2025-12-04T08:54:27.3268710Z Entering 'third_party/python-peachpy' 2025-12-04T08:54:27.3309809Z Entering 'third_party/sleef' 2025-12-04T08:54:27.3354519Z Entering 'third_party/tensorpipe' 2025-12-04T08:54:27.3395609Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:54:27.3435190Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:54:27.3474577Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:54:27.3515387Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:54:27.3553572Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:54:27.3608019Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T08:54:27.3893525Z Entering 'android/libs/fbjni' 2025-12-04T08:54:27.3933558Z Entering 'third_party/FP16' 2025-12-04T08:54:27.3975717Z Entering 'third_party/FXdiv' 2025-12-04T08:54:27.4016654Z Entering 'third_party/NNPACK' 2025-12-04T08:54:27.4057708Z Entering 'third_party/NVTX' 2025-12-04T08:54:27.4098931Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:54:27.4139162Z Entering 'third_party/XNNPACK' 2025-12-04T08:54:27.4195247Z Entering 'third_party/aiter' 2025-12-04T08:54:27.4237610Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:54:27.4287757Z Entering 'third_party/benchmark' 2025-12-04T08:54:27.4329021Z Entering 'third_party/composable_kernel' 2025-12-04T08:54:27.4376632Z Entering 'third_party/cpp-httplib' 2025-12-04T08:54:27.4416997Z Entering 'third_party/cpuinfo' 2025-12-04T08:54:27.4459426Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:54:27.4499886Z Entering 'third_party/cutlass' 2025-12-04T08:54:27.4551809Z Entering 'third_party/fbgemm' 2025-12-04T08:54:27.4595536Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:54:27.4634796Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:54:27.4681781Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:54:27.4721328Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:54:27.4769696Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:54:27.4808676Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:54:27.4848231Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:54:27.4889711Z Entering 'third_party/flash-attention' 2025-12-04T08:54:27.4931328Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:54:27.4978598Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:54:27.5025753Z Entering 'third_party/flatbuffers' 2025-12-04T08:54:27.5070975Z Entering 'third_party/fmt' 2025-12-04T08:54:27.5111280Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:54:27.5152461Z Entering 'third_party/gloo' 2025-12-04T08:54:27.5192822Z Entering 'third_party/googletest' 2025-12-04T08:54:27.5234761Z Entering 'third_party/ideep' 2025-12-04T08:54:27.5274736Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:54:27.5321254Z Entering 'third_party/ittapi' 2025-12-04T08:54:27.5362339Z Entering 'third_party/kineto' 2025-12-04T08:54:27.5403065Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:54:27.5444638Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:54:27.5487779Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:54:27.5528158Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:54:27.5569761Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:54:27.5608305Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:54:27.5651024Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:54:27.5691189Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:54:27.5730539Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:54:27.5773656Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:54:27.5813424Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:54:27.5855685Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:54:27.5897637Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:54:27.5941573Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:54:27.5980982Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:54:27.6027781Z Entering 'third_party/kleidiai' 2025-12-04T08:54:27.6069864Z Entering 'third_party/mimalloc' 2025-12-04T08:54:27.6110375Z Entering 'third_party/nlohmann' 2025-12-04T08:54:27.6152815Z Entering 'third_party/onnx' 2025-12-04T08:54:27.6211419Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:54:27.6255538Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:54:27.6298492Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:54:27.6337746Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:54:27.6378391Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:54:27.6417770Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:54:27.6458422Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:54:27.6497657Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:54:27.6538538Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:54:27.6577583Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:54:27.6619633Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:54:27.6662041Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:54:27.6721699Z Entering 'third_party/pocketfft' 2025-12-04T08:54:27.6763136Z Entering 'third_party/protobuf' 2025-12-04T08:54:27.6807555Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:54:27.6847567Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:54:27.6891324Z Entering 'third_party/psimd' 2025-12-04T08:54:27.6930972Z Entering 'third_party/pthreadpool' 2025-12-04T08:54:27.6972749Z Entering 'third_party/pybind11' 2025-12-04T08:54:27.7013827Z Entering 'third_party/python-peachpy' 2025-12-04T08:54:27.7057329Z Entering 'third_party/sleef' 2025-12-04T08:54:27.7097426Z Entering 'third_party/tensorpipe' 2025-12-04T08:54:27.7139465Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:54:27.7182996Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:54:27.7222998Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:54:27.7263270Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:54:27.7301471Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:54:27.7355352Z ##[endgroup] 2025-12-04T08:54:27.7387117Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T08:54:27.7408117Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:54:27.7509998Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T08:54:27.7510368Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:54:27.7510682Z # Clean stale submodule dirs 2025-12-04T08:54:27.7511016Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:54:27.7511417Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T08:54:27.7511825Z else 2025-12-04T08:54:27.7512138Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T08:54:27.7512515Z fi 2025-12-04T08:54:27.7521842Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:54:27.7522238Z env: 2025-12-04T08:54:27.7522466Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:27.7522727Z NO_SUDO: true 2025-12-04T08:54:27.7523109Z ##[endgroup] 2025-12-04T08:54:27.7839536Z Entering 'android/libs/fbjni' 2025-12-04T08:54:27.7871811Z Entering 'third_party/FP16' 2025-12-04T08:54:27.7903233Z Entering 'third_party/FXdiv' 2025-12-04T08:54:27.7933470Z Entering 'third_party/NNPACK' 2025-12-04T08:54:27.7968182Z Entering 'third_party/NVTX' 2025-12-04T08:54:27.8007151Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:54:27.8039797Z Entering 'third_party/XNNPACK' 2025-12-04T08:54:27.8165176Z Entering 'third_party/aiter' 2025-12-04T08:54:27.8207033Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:54:27.8313007Z Entering 'third_party/benchmark' 2025-12-04T08:54:27.8346705Z Entering 'third_party/composable_kernel' 2025-12-04T08:54:27.8482281Z Entering 'third_party/cpp-httplib' 2025-12-04T08:54:27.8514856Z Entering 'third_party/cpuinfo' 2025-12-04T08:54:27.8549726Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:54:27.8583991Z Entering 'third_party/cutlass' 2025-12-04T08:54:27.8685550Z Entering 'third_party/fbgemm' 2025-12-04T08:54:27.8747745Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:54:27.8779769Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:54:27.8894046Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:54:27.8927170Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:54:27.9031782Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:54:27.9063539Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:54:27.9091602Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:54:27.9134370Z Entering 'third_party/flash-attention' 2025-12-04T08:54:27.9174651Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:54:27.9271507Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:54:27.9362333Z Entering 'third_party/flatbuffers' 2025-12-04T08:54:27.9432494Z Entering 'third_party/fmt' 2025-12-04T08:54:27.9469070Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:54:27.9499168Z Entering 'third_party/gloo' 2025-12-04T08:54:27.9531842Z Entering 'third_party/googletest' 2025-12-04T08:54:27.9565474Z Entering 'third_party/ideep' 2025-12-04T08:54:27.9594334Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:54:27.9677233Z Entering 'third_party/ittapi' 2025-12-04T08:54:27.9711042Z Entering 'third_party/kineto' 2025-12-04T08:54:27.9745244Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:54:27.9781669Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:54:27.9824625Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:54:27.9854738Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:54:27.9886048Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:54:27.9913944Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:54:27.9944020Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:54:27.9974982Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:54:28.0008151Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:54:28.0048749Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:54:28.0078999Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:54:28.0109255Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:54:28.0157237Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:54:28.0193455Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:54:28.0228000Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:54:28.0263200Z Entering 'third_party/kleidiai' 2025-12-04T08:54:28.0301096Z Entering 'third_party/mimalloc' 2025-12-04T08:54:28.0333706Z Entering 'third_party/nlohmann' 2025-12-04T08:54:28.0376887Z Entering 'third_party/onnx' 2025-12-04T08:54:28.0699938Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:54:28.0735110Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:54:28.0788697Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:54:28.0818622Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:54:28.0852315Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:54:28.0880328Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:54:28.0919849Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:54:28.0949218Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:54:28.0980045Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:54:28.1013745Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:54:28.1058838Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:54:28.1092961Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:54:28.1347379Z Entering 'third_party/pocketfft' 2025-12-04T08:54:28.1377074Z Entering 'third_party/protobuf' 2025-12-04T08:54:28.1452313Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:54:28.1481841Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:54:28.1516774Z Entering 'third_party/psimd' 2025-12-04T08:54:28.1545902Z Entering 'third_party/pthreadpool' 2025-12-04T08:54:28.1576240Z Entering 'third_party/pybind11' 2025-12-04T08:54:28.1617278Z Entering 'third_party/python-peachpy' 2025-12-04T08:54:28.1648551Z Entering 'third_party/sleef' 2025-12-04T08:54:28.1682402Z Entering 'third_party/tensorpipe' 2025-12-04T08:54:28.1718098Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:54:28.1750039Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:54:28.1780529Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:54:28.1814235Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:54:28.1844888Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:54:28.1995507Z Prepare all required actions 2025-12-04T08:54:28.1996052Z Getting action download info 2025-12-04T08:54:28.3661375Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T08:54:28.3661755Z env: 2025-12-04T08:54:28.3662112Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:28.3662496Z ##[endgroup] 2025-12-04T08:54:28.3708419Z ##[group]Run set -euo pipefail 2025-12-04T08:54:28.3708851Z set -euo pipefail 2025-12-04T08:54:28.3709316Z function get_ec2_metadata() { 2025-12-04T08:54:28.3709761Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T08:54:28.3710487Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T08:54:28.3711207Z  category=$1 2025-12-04T08:54:28.3711679Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T08:54:28.3712163Z  runner_name_str=i-0c77d3bb2d721819e 2025-12-04T08:54:28.3712771Z  if [[ -f /.inarc ]]; then 2025-12-04T08:54:28.3713174Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T08:54:28.3713593Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T08:54:28.3714064Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T08:54:28.3714517Z  else 2025-12-04T08:54:28.3715403Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-12-04T08:54:28.3716345Z  fi 2025-12-04T08:54:28.3716555Z } 2025-12-04T08:54:28.3716823Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T08:54:28.3717265Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T08:54:28.3717871Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T08:54:28.3718293Z echo "system info $(uname -a)" 2025-12-04T08:54:28.3725345Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:54:28.3725733Z env: 2025-12-04T08:54:28.3725938Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:28.3726207Z ##[endgroup] 2025-12-04T08:54:28.3875476Z ami-id: ami-08982f1c5bf93d976 2025-12-04T08:54:28.3972849Z instance-id: i-0c77d3bb2d721819e 2025-12-04T08:54:28.4068538Z instance-type: c5.2xlarge 2025-12-04T08:54:28.4079255Z system info Linux ip-10-0-73-177.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T08:54:28.4098647Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:54:28.4099154Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:54:28.4105590Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:54:28.4105982Z env: 2025-12-04T08:54:28.4106212Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:28.4106466Z ##[endgroup] 2025-12-04T08:54:28.4148933Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:54:28.4149906Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:54:28.4155949Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:54:28.4156343Z env: 2025-12-04T08:54:28.4156558Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:28.4156827Z ##[endgroup] 2025-12-04T08:54:28.4204785Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T08:54:28.4205252Z if systemctl is-active --quiet docker; then 2025-12-04T08:54:28.4205787Z  echo "Docker daemon is running..."; 2025-12-04T08:54:28.4206303Z else 2025-12-04T08:54:28.4206888Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T08:54:28.4207668Z fi 2025-12-04T08:54:28.4214819Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:54:28.4215207Z env: 2025-12-04T08:54:28.4215437Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:28.4215712Z ##[endgroup] 2025-12-04T08:54:28.4295050Z Docker daemon is running... 2025-12-04T08:54:28.4333186Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:54:28.4333494Z with: 2025-12-04T08:54:28.4333699Z shell: bash 2025-12-04T08:54:28.4333909Z timeout_minutes: 5 2025-12-04T08:54:28.4334151Z max_attempts: 3 2025-12-04T08:54:28.4334387Z retry_wait_seconds: 30 2025-12-04T08:54:28.4336792Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-12-04T08:54:28.4339192Z polling_interval_seconds: 1 2025-12-04T08:54:28.4339473Z warning_on_retry: true 2025-12-04T08:54:28.4339755Z continue_on_error: false 2025-12-04T08:54:28.4340416Z env: 2025-12-04T08:54:28.4340679Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:28.4340942Z AWS_RETRY_MODE: standard 2025-12-04T08:54:28.4341211Z AWS_MAX_ATTEMPTS: 5 2025-12-04T08:54:28.4341475Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T08:54:28.4341741Z ##[endgroup] 2025-12-04T08:54:29.6119236Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:54:29.6120333Z Configure a credential helper to remove this warning. See 2025-12-04T08:54:29.6120974Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:54:29.6121375Z 2025-12-04T08:54:29.6121493Z Login Succeeded 2025-12-04T08:54:30.5988126Z Command completed after 1 attempt(s). 2025-12-04T08:54:30.6038574Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:54:30.6039182Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:54:30.6039676Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:54:30.6047603Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:54:30.6047991Z env: 2025-12-04T08:54:30.6048224Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:30.6048494Z ##[endgroup] 2025-12-04T08:54:30.6128386Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:54:30.6128980Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:54:30.6129423Z # shellcheck disable=SC2046 2025-12-04T08:54:30.6129847Z docker stop $(docker ps -q) || true 2025-12-04T08:54:30.6143215Z # Prune all of the docker images 2025-12-04T08:54:30.6143788Z docker system prune -af 2025-12-04T08:54:30.6149795Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:54:30.6150185Z env: 2025-12-04T08:54:30.6150410Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:30.6150664Z ##[endgroup] 2025-12-04T08:54:30.6570604Z "docker stop" requires at least 1 argument. 2025-12-04T08:54:30.6570992Z See 'docker stop --help'. 2025-12-04T08:54:30.6571171Z 2025-12-04T08:54:30.6571336Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T08:54:30.6571626Z 2025-12-04T08:54:30.6571735Z Stop one or more running containers 2025-12-04T08:54:30.6763785Z Total reclaimed space: 0B 2025-12-04T08:54:30.6945033Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T08:54:30.6945500Z with: 2025-12-04T08:54:30.6946263Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:30.6947126Z use-custom-docker-registry: true 2025-12-04T08:54:30.6947447Z docker-build-dir: .ci/docker 2025-12-04T08:54:30.6947734Z docker-build-script: ./build.sh 2025-12-04T08:54:30.6948034Z working-directory: . 2025-12-04T08:54:30.6948388Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:54:30.6948795Z force-push: false 2025-12-04T08:54:30.6949025Z env: 2025-12-04T08:54:30.6949229Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:30.6949473Z ##[endgroup] 2025-12-04T08:54:30.6967834Z ##[group]Run set -ex 2025-12-04T08:54:30.6968116Z set -ex 2025-12-04T08:54:30.6968329Z  2025-12-04T08:54:30.6968755Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T08:54:30.6969434Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T08:54:30.6970019Z # job could then download the pre-built image as usual 2025-12-04T08:54:30.6970722Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T08:54:30.6971372Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T08:54:30.6971705Z else 2025-12-04T08:54:30.6971967Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:54:30.6972413Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:54:30.6972808Z  2025-12-04T08:54:30.6973369Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T08:54:30.6974020Z  exit 0 2025-12-04T08:54:30.6974224Z fi 2025-12-04T08:54:30.6974426Z  2025-12-04T08:54:30.6974760Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T08:54:30.6975372Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T08:54:30.6975904Z  # use it as it is, but first let's extract the tag 2025-12-04T08:54:30.6976395Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T08:54:30.6976909Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:54:30.6977411Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:54:30.6977810Z else 2025-12-04T08:54:30.6978072Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T08:54:30.6978461Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T08:54:30.6978852Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T08:54:30.6979192Z  fi 2025-12-04T08:54:30.6979655Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T08:54:30.6980282Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:54:30.6980926Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:54:30.6981651Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:54:30.6982088Z fi 2025-12-04T08:54:30.6987858Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:54:30.6988249Z env: 2025-12-04T08:54:30.6988470Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:30.6988729Z REPO_NAME: pytorch 2025-12-04T08:54:30.6989607Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:30.6990452Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:54:30.6990747Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T08:54:30.6991125Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:54:30.6991541Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T08:54:30.6991839Z CUSTOM_TAG_PREFIX: 2025-12-04T08:54:30.6992069Z ##[endgroup] 2025-12-04T08:54:30.7015328Z + [[ -d .ci/docker ]] 2025-12-04T08:54:30.7015828Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T08:54:30.7016270Z + [[ true == \t\r\u\e ]] 2025-12-04T08:54:30.7016730Z + echo skip=false 2025-12-04T08:54:30.7017967Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-12-04T08:54:30.7022959Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:30.7023867Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T08:54:30.7043080Z + DOCKER_TAG=pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:30.7044295Z + echo docker-tag=pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:30.7045524Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:30.7067684Z ##[group]Run set +e 2025-12-04T08:54:30.7067991Z set +e 2025-12-04T08:54:30.7068228Z set -x 2025-12-04T08:54:30.7068456Z  2025-12-04T08:54:30.7068673Z login() { 2025-12-04T08:54:30.7069162Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:54:30.7069689Z } 2025-12-04T08:54:30.7069904Z  2025-12-04T08:54:30.7070126Z retry () { 2025-12-04T08:54:30.7070392Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:54:30.7070720Z } 2025-12-04T08:54:30.7070934Z  2025-12-04T08:54:30.7071159Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:54:30.7071476Z  2025-12-04T08:54:30.7071702Z START_TIME=$(date +%s) 2025-12-04T08:54:30.7071990Z # Wait up to 120 minutes 2025-12-04T08:54:30.7072363Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T08:54:30.7072875Z  # Check if image already exists, if it does then skip building it 2025-12-04T08:54:30.7073397Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T08:54:30.7073759Z  exit 0 2025-12-04T08:54:30.7073992Z  fi 2025-12-04T08:54:30.7074206Z  2025-12-04T08:54:30.7074580Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T08:54:30.7075267Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T08:54:30.7075952Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T08:54:30.7076487Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T08:54:30.7076881Z  # It's a Docker build job, let's build the image 2025-12-04T08:54:30.7077232Z  break 2025-12-04T08:54:30.7077563Z  else 2025-12-04T08:54:30.7077904Z  # It's a regular build job, wait for the image to become available 2025-12-04T08:54:30.7078330Z  sleep 300 2025-12-04T08:54:30.7078728Z  fi 2025-12-04T08:54:30.7078949Z done 2025-12-04T08:54:30.7079152Z  2025-12-04T08:54:30.7079508Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T08:54:30.7080101Z # be empty. The default action would be to continue rebuild the image 2025-12-04T08:54:30.7080707Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T08:54:30.7081179Z  # if we're on the base branch then use the parent commit 2025-12-04T08:54:30.7081593Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T08:54:30.7081916Z else 2025-12-04T08:54:30.7082233Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T08:54:30.7082719Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T08:54:30.7083089Z fi 2025-12-04T08:54:30.7083287Z  2025-12-04T08:54:30.7083519Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T08:54:30.7083884Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:54:30.7084207Z  2025-12-04T08:54:30.7084679Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T08:54:30.7085244Z  exit 0 2025-12-04T08:54:30.7085469Z fi 2025-12-04T08:54:30.7085672Z  2025-12-04T08:54:30.7085982Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T08:54:30.7086738Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T08:54:30.7087346Z  exit 1 2025-12-04T08:54:30.7087609Z fi 2025-12-04T08:54:30.7087830Z  2025-12-04T08:54:30.7088224Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T08:54:30.7088889Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T08:54:30.7089501Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T08:54:30.7090202Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T08:54:30.7090994Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T08:54:30.7091449Z fi 2025-12-04T08:54:30.7091661Z  2025-12-04T08:54:30.7091923Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:54:30.7097439Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:54:30.7097825Z env: 2025-12-04T08:54:30.7098045Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:30.7098313Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:54:30.7098666Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:54:30.7099550Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:30.7100593Z DOCKER_TAG: pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:30.7101215Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:54:30.7101611Z DOCKER_PUSH: 2025-12-04T08:54:30.7101840Z ##[endgroup] 2025-12-04T08:54:30.7124338Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:54:30.7125031Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:54:30.7126926Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:54:30.7128281Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:54:31.2026489Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:54:31.2027560Z Configure a credential helper to remove this warning. See 2025-12-04T08:54:31.2028425Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:54:31.2029064Z 2025-12-04T08:54:31.2029178Z Login Succeeded 2025-12-04T08:54:31.2043608Z ++ date +%s 2025-12-04T08:54:31.2053017Z + START_TIME=1764838471 2025-12-04T08:54:31.2056592Z ++ date +%s 2025-12-04T08:54:31.2065397Z + [[ 1764831271 -lt 1764838471 ]] 2025-12-04T08:54:31.2066419Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:31.3914216Z { 2025-12-04T08:54:31.3914667Z "schemaVersion": 2, 2025-12-04T08:54:31.3915149Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T08:54:31.3915590Z "config": { 2025-12-04T08:54:31.3915929Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T08:54:31.3916551Z "size": 33413, 2025-12-04T08:54:31.3917244Z "digest": "sha256:69f02fcb9ffc1a94e0c51f7917aedd922212debbe0601e2ef7c572ae8f5526ce" 2025-12-04T08:54:31.3918018Z }, 2025-12-04T08:54:31.3918243Z "layers": [ 2025-12-04T08:54:31.3918503Z { 2025-12-04T08:54:31.3919109Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.3919742Z "size": 30447951, 2025-12-04T08:54:31.3920173Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T08:54:31.3920637Z }, 2025-12-04T08:54:31.3920830Z { 2025-12-04T08:54:31.3921175Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.3921592Z "size": 1554, 2025-12-04T08:54:31.3922008Z "digest": "sha256:5a99dbbe8953b98a275ccd76f20c04b5d2387541c0d2dbd278c2e970e2d1a544" 2025-12-04T08:54:31.3922492Z }, 2025-12-04T08:54:31.3922668Z { 2025-12-04T08:54:31.3923000Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.3923421Z "size": 344035409, 2025-12-04T08:54:31.3923854Z "digest": "sha256:90c4def1b127e89551f53ffc03e3fb690322be91cbbbd9228f0e58b3368ae751" 2025-12-04T08:54:31.3924321Z }, 2025-12-04T08:54:31.3924515Z { 2025-12-04T08:54:31.3924841Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.3925248Z "size": 787, 2025-12-04T08:54:31.3925661Z "digest": "sha256:a2c983655925cbf16e58fa082f4f2f690da7272cd44bc582f4710e3c9b894894" 2025-12-04T08:54:31.3926137Z }, 2025-12-04T08:54:31.3926314Z { 2025-12-04T08:54:31.3926650Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.3927076Z "size": 63270271, 2025-12-04T08:54:31.3927542Z "digest": "sha256:bd3db159a6ab51a08c169d6a04b3a3ed18df7cdb4c6074d7671dc718590a5db6" 2025-12-04T08:54:31.3928474Z }, 2025-12-04T08:54:31.3928720Z { 2025-12-04T08:54:31.3929352Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.3929805Z "size": 703, 2025-12-04T08:54:31.3930225Z "digest": "sha256:7a10eaeace607864f58a0898cdb041f5bafd1e62ecb54bd89a23b6de1ba85866" 2025-12-04T08:54:31.3930710Z }, 2025-12-04T08:54:31.3930885Z { 2025-12-04T08:54:31.3931222Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.3931643Z "size": 1216, 2025-12-04T08:54:31.3932037Z "digest": "sha256:1247d3ca91127ff24e2b4c91857d495ecb307410a28856273c712afe5a452387" 2025-12-04T08:54:31.3932514Z }, 2025-12-04T08:54:31.3932701Z { 2025-12-04T08:54:31.3933025Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.3933445Z "size": 485, 2025-12-04T08:54:31.3933865Z "digest": "sha256:20dc7ae2d07ad2babfb4d49e44a8ffca93e3d8311393202c12e5fa7cc1556b89" 2025-12-04T08:54:31.3934341Z }, 2025-12-04T08:54:31.3934526Z { 2025-12-04T08:54:31.3934847Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.3935270Z "size": 110, 2025-12-04T08:54:31.3935667Z "digest": "sha256:d9645507175387b884b9b260763486dd37b5395d527737b655ae690a12bbf112" 2025-12-04T08:54:31.3936133Z }, 2025-12-04T08:54:31.3936313Z { 2025-12-04T08:54:31.3936643Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.3937238Z "size": 4961, 2025-12-04T08:54:31.3937636Z "digest": "sha256:5ff6957a629c92d26e49fd6a55e6987cd79743446486c2b48aae36942f599e2d" 2025-12-04T08:54:31.3938117Z }, 2025-12-04T08:54:31.3938313Z { 2025-12-04T08:54:31.3938631Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.3939151Z "size": 1756, 2025-12-04T08:54:31.3939571Z "digest": "sha256:7428d586b9d2bcdd2c1967378819eb99c62b9dbb1d8e618234a2ad83f57c3992" 2025-12-04T08:54:31.3940407Z }, 2025-12-04T08:54:31.3940714Z { 2025-12-04T08:54:31.3941298Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.3941990Z "size": 724, 2025-12-04T08:54:31.3942391Z "digest": "sha256:62f866d38c3ad10a2fd6434521b1485551cce4045c61b5af80cdc631c6800bd0" 2025-12-04T08:54:31.3942874Z }, 2025-12-04T08:54:31.3943071Z { 2025-12-04T08:54:31.3943388Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.3943824Z "size": 543, 2025-12-04T08:54:31.3944228Z "digest": "sha256:5b976bbaf127910336aca008c80d5639d65820f1c923ab812e38098e200178d3" 2025-12-04T08:54:31.3944686Z }, 2025-12-04T08:54:31.3944872Z { 2025-12-04T08:54:31.3945194Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.3945617Z "size": 3471336754, 2025-12-04T08:54:31.3946051Z "digest": "sha256:67fdd8a2cae7ccddc016cb6871b9dc2f8ddcd033af94ff1617527fc885fade23" 2025-12-04T08:54:31.3946540Z }, 2025-12-04T08:54:31.3946727Z { 2025-12-04T08:54:31.3947039Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.3947457Z "size": 32, 2025-12-04T08:54:31.3947866Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:54:31.4036340Z }, 2025-12-04T08:54:31.4036528Z { 2025-12-04T08:54:31.4036855Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4037264Z "size": 188, 2025-12-04T08:54:31.4037752Z "digest": "sha256:2aa7833ad57a051b1d201321d48fe55631f450a15fc74abf9986052cd3ac08b0" 2025-12-04T08:54:31.4051644Z }, 2025-12-04T08:54:31.4051909Z { 2025-12-04T08:54:31.4052262Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4052697Z "size": 1369, 2025-12-04T08:54:31.4053105Z "digest": "sha256:c7fb1cba105aa996600038a148e22e012f8cfdbe6262a0e4f29b292411a9f28d" 2025-12-04T08:54:31.4053585Z }, 2025-12-04T08:54:31.4053775Z { 2025-12-04T08:54:31.4054091Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4054508Z "size": 32, 2025-12-04T08:54:31.4054918Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:54:31.4055415Z }, 2025-12-04T08:54:31.4055592Z { 2025-12-04T08:54:31.4055920Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4056338Z "size": 136, 2025-12-04T08:54:31.4056750Z "digest": "sha256:1e2bc289f2f0c931974d1a4e2366c73ed62ff4ae40ecbf606d6e2f99e447697d" 2025-12-04T08:54:31.4057236Z }, 2025-12-04T08:54:31.4057425Z { 2025-12-04T08:54:31.4057740Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4058160Z "size": 528, 2025-12-04T08:54:31.4058566Z "digest": "sha256:81b4829c81a352184a4a03157b023d5e920bdee109fb3e4754245eb6050ae80b" 2025-12-04T08:54:31.4059022Z }, 2025-12-04T08:54:31.4059210Z { 2025-12-04T08:54:31.4059534Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4059944Z "size": 32, 2025-12-04T08:54:31.4060355Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:54:31.4060837Z }, 2025-12-04T08:54:31.4061014Z { 2025-12-04T08:54:31.4061339Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4061759Z "size": 104, 2025-12-04T08:54:31.4062163Z "digest": "sha256:c370919b79531b4f67212be8d40f56a487dbb868a24182a3fc71a32b484497cc" 2025-12-04T08:54:31.4062619Z }, 2025-12-04T08:54:31.4062818Z { 2025-12-04T08:54:31.4063145Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4063552Z "size": 435, 2025-12-04T08:54:31.4063965Z "digest": "sha256:a2b6cf5acc8f87e4891d2f2bbb844875b03994c0ac0f0652ac9ccdc18abfca1a" 2025-12-04T08:54:31.4064450Z }, 2025-12-04T08:54:31.4064625Z { 2025-12-04T08:54:31.4064948Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4065364Z "size": 32, 2025-12-04T08:54:31.4065760Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:54:31.4066431Z }, 2025-12-04T08:54:31.4066621Z { 2025-12-04T08:54:31.4066948Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4067357Z "size": 109, 2025-12-04T08:54:31.4067773Z "digest": "sha256:aae7fb386890d03ea4e3451e6a25a64dc7da2f5a32d44f58c1346c528ee81f7e" 2025-12-04T08:54:31.4068255Z }, 2025-12-04T08:54:31.4068430Z { 2025-12-04T08:54:31.4068854Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4069281Z "size": 1897, 2025-12-04T08:54:31.4069684Z "digest": "sha256:405bd83d0433e3995d46a2f4ade2dfccd8059a1776d38a8c585f63c6ebb46a23" 2025-12-04T08:54:31.4070164Z }, 2025-12-04T08:54:31.4070350Z { 2025-12-04T08:54:31.4070659Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4071078Z "size": 245555913, 2025-12-04T08:54:31.4071488Z "digest": "sha256:8e062890815855fb121e663c007ce378e2777b3222e870ddea510837173f5047" 2025-12-04T08:54:31.4071951Z }, 2025-12-04T08:54:31.4072126Z { 2025-12-04T08:54:31.4072454Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4072873Z "size": 106, 2025-12-04T08:54:31.4073272Z "digest": "sha256:7e536259fa1f5e6dc831578623288bba3ae0e8cdabcdeb31ffce710427bcd74a" 2025-12-04T08:54:31.4073750Z }, 2025-12-04T08:54:31.4073940Z { 2025-12-04T08:54:31.4074257Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4074682Z "size": 163, 2025-12-04T08:54:31.4075094Z "digest": "sha256:a50b5c3201628a2e5168dd113072e4ad7910b525ad37a4bad84a3fc8ef0cace8" 2025-12-04T08:54:31.4075556Z }, 2025-12-04T08:54:31.4075743Z { 2025-12-04T08:54:31.4076067Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4076474Z "size": 7943, 2025-12-04T08:54:31.4076879Z "digest": "sha256:0b09c1642c91f861ea31ad593fa469d75e087a2699815e107fc46769e34053bf" 2025-12-04T08:54:31.4077345Z }, 2025-12-04T08:54:31.4077621Z { 2025-12-04T08:54:31.4077952Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4078380Z "size": 8076, 2025-12-04T08:54:31.4078796Z "digest": "sha256:503ffad700cd5a9a93c9be88bd3f6d4503310901dfc70426bdfdf65387ad6d63" 2025-12-04T08:54:31.4079269Z }, 2025-12-04T08:54:31.4079459Z { 2025-12-04T08:54:31.4079786Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4080199Z "size": 304, 2025-12-04T08:54:31.4080614Z "digest": "sha256:dde1ddfc4205843dd27c91352615ecea55171855353ba8f5560ea44cb0fcf96e" 2025-12-04T08:54:31.4081094Z }, 2025-12-04T08:54:31.4081273Z { 2025-12-04T08:54:31.4081601Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4082026Z "size": 32, 2025-12-04T08:54:31.4082428Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:54:31.4082918Z }, 2025-12-04T08:54:31.4083112Z { 2025-12-04T08:54:31.4083441Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4083860Z "size": 108, 2025-12-04T08:54:31.4084285Z "digest": "sha256:6fff2372e67ace6de2b21466935ee78fac9e9dd0cee42b76358e95bebabd0f28" 2025-12-04T08:54:31.4084777Z }, 2025-12-04T08:54:31.4084956Z { 2025-12-04T08:54:31.4085287Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4085713Z "size": 54145663, 2025-12-04T08:54:31.4086140Z "digest": "sha256:c0c4cfd870fe00cba36ec33eb43b009ac6e0992482ec8df5b4db20c340f7b685" 2025-12-04T08:54:31.4086624Z }, 2025-12-04T08:54:31.4086813Z { 2025-12-04T08:54:31.4087128Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:54:31.4087549Z "size": 32, 2025-12-04T08:54:31.4087954Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:54:31.4088423Z } 2025-12-04T08:54:31.4088611Z ] 2025-12-04T08:54:31.4088798Z } 2025-12-04T08:54:31.4114730Z ##[group]Run set -eux 2025-12-04T08:54:31.4115013Z set -eux 2025-12-04T08:54:31.4115515Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T08:54:31.4116710Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-12-04T08:54:31.4123519Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:54:31.4123911Z env: 2025-12-04T08:54:31.4124119Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:31.4124387Z ##[endgroup] 2025-12-04T08:54:31.4151977Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T08:54:31.4153006Z + jq --raw-output .SecretString 2025-12-04T08:54:31.4154157Z + jq -r .docker_hub_readonly_token 2025-12-04T08:54:31.4156432Z + docker login --username pytorchbot --password-stdin 2025-12-04T08:54:31.9581027Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:54:31.9582050Z Configure a credential helper to remove this warning. See 2025-12-04T08:54:31.9582918Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:54:31.9583539Z 2025-12-04T08:54:31.9583687Z Login Succeeded 2025-12-04T08:54:31.9663272Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:54:31.9663740Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:54:31.9664185Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T08:54:31.9670770Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:54:31.9671160Z env: 2025-12-04T08:54:31.9671381Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:31.9672175Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:31.9672979Z ##[endgroup] 2025-12-04T08:54:31.9699926Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:31.9745155Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T08:54:31.9745599Z with: 2025-12-04T08:54:31.9746335Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:31.9747256Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:54:31.9747653Z env: 2025-12-04T08:54:31.9747852Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:31.9748116Z ##[endgroup] 2025-12-04T08:54:31.9763259Z ##[group]Run set -x 2025-12-04T08:54:31.9763534Z set -x 2025-12-04T08:54:31.9763750Z set +e 2025-12-04T08:54:31.9763971Z  2025-12-04T08:54:31.9764182Z login() { 2025-12-04T08:54:31.9764912Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:54:31.9765442Z } 2025-12-04T08:54:31.9765652Z  2025-12-04T08:54:31.9765908Z retry () { 2025-12-04T08:54:31.9766180Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:54:31.9766497Z } 2025-12-04T08:54:31.9766693Z  2025-12-04T08:54:31.9766924Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:54:31.9767237Z  2025-12-04T08:54:31.9767735Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T08:54:31.9768404Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T08:54:31.9768785Z  2025-12-04T08:54:31.9768992Z set -e 2025-12-04T08:54:31.9769325Z # ignore output since only exit code is used for conditional 2025-12-04T08:54:31.9769831Z # only pull docker image if it's not available locally 2025-12-04T08:54:31.9770387Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T08:54:31.9770905Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T08:54:31.9771331Z fi 2025-12-04T08:54:31.9776826Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:54:31.9777212Z env: 2025-12-04T08:54:31.9777416Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:31.9778204Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:31.9779118Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:54:31.9779515Z ##[endgroup] 2025-12-04T08:54:31.9801073Z + set +e 2025-12-04T08:54:31.9801594Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:54:31.9802276Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:54:31.9804589Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:54:31.9805677Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:54:32.4872758Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:54:32.4873418Z Configure a credential helper to remove this warning. See 2025-12-04T08:54:32.4874238Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:54:32.4874768Z 2025-12-04T08:54:32.4874883Z Login Succeeded 2025-12-04T08:54:32.4891359Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:32.4892314Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T08:54:32.6788856Z + IMAGE_SIZE=4472.951248168945 2025-12-04T08:54:32.6789274Z + echo 'Compressed size of image in MB: 4472.951248168945' 2025-12-04T08:54:32.6789661Z + set -e 2025-12-04T08:54:32.6790463Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:32.6791613Z Compressed size of image in MB: 4472.951248168945 2025-12-04T08:54:32.6910726Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:32.6912091Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:32.9189552Z pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T08:54:32.9193043Z 63e5bc7682b8: Pulling fs layer 2025-12-04T08:54:32.9195795Z 5a99dbbe8953: Pulling fs layer 2025-12-04T08:54:32.9196365Z 90c4def1b127: Pulling fs layer 2025-12-04T08:54:32.9196704Z a2c983655925: Pulling fs layer 2025-12-04T08:54:32.9196995Z bd3db159a6ab: Pulling fs layer 2025-12-04T08:54:32.9197343Z 7a10eaeace60: Pulling fs layer 2025-12-04T08:54:32.9197685Z 1247d3ca9112: Pulling fs layer 2025-12-04T08:54:32.9198019Z 20dc7ae2d07a: Pulling fs layer 2025-12-04T08:54:32.9198348Z d96455071753: Pulling fs layer 2025-12-04T08:54:32.9198630Z 5ff6957a629c: Pulling fs layer 2025-12-04T08:54:32.9198915Z 7428d586b9d2: Pulling fs layer 2025-12-04T08:54:32.9199199Z 62f866d38c3a: Pulling fs layer 2025-12-04T08:54:32.9199470Z 5b976bbaf127: Pulling fs layer 2025-12-04T08:54:32.9199759Z 67fdd8a2cae7: Pulling fs layer 2025-12-04T08:54:32.9200049Z 4f4fb700ef54: Pulling fs layer 2025-12-04T08:54:32.9200337Z 4aa62fab1ece: Pulling fs layer 2025-12-04T08:54:32.9200616Z f1e2075e5eb2: Pulling fs layer 2025-12-04T08:54:32.9200932Z f1a623399314: Pulling fs layer 2025-12-04T08:54:32.9201265Z 838727984164: Pulling fs layer 2025-12-04T08:54:32.9201548Z 1d774143d46c: Pulling fs layer 2025-12-04T08:54:32.9201817Z 2c9a7d58a196: Pulling fs layer 2025-12-04T08:54:32.9202105Z a1a0e4546dd0: Pulling fs layer 2025-12-04T08:54:32.9202382Z 20dc7ae2d07a: Waiting 2025-12-04T08:54:32.9202623Z 4148c341f564: Pulling fs layer 2025-12-04T08:54:32.9202910Z b00a1cd19dae: Pulling fs layer 2025-12-04T08:54:32.9203400Z 2306d6a7c853: Pulling fs layer 2025-12-04T08:54:32.9203668Z 531e62fd7b48: Pulling fs layer 2025-12-04T08:54:32.9203936Z a2c983655925: Waiting 2025-12-04T08:54:32.9204219Z bd3db159a6ab: Waiting 2025-12-04T08:54:32.9204495Z d96455071753: Waiting 2025-12-04T08:54:32.9204739Z 342fc23bd590: Pulling fs layer 2025-12-04T08:54:32.9205189Z d2de17964c91: Pulling fs layer 2025-12-04T08:54:32.9205447Z 5ff6957a629c: Waiting 2025-12-04T08:54:32.9205695Z ad40056b7301: Pulling fs layer 2025-12-04T08:54:32.9206048Z 7428d586b9d2: Waiting 2025-12-04T08:54:32.9206290Z 56fadbe5a22c: Pulling fs layer 2025-12-04T08:54:32.9206663Z 62f866d38c3a: Waiting 2025-12-04T08:54:32.9206911Z 67a68c3643f9: Pulling fs layer 2025-12-04T08:54:32.9207181Z 5b976bbaf127: Waiting 2025-12-04T08:54:32.9207409Z 67fdd8a2cae7: Waiting 2025-12-04T08:54:32.9207651Z 4f4fb700ef54: Waiting 2025-12-04T08:54:32.9207902Z 2f60a5515fca: Pulling fs layer 2025-12-04T08:54:32.9208178Z 1b3a2f08f95e: Pulling fs layer 2025-12-04T08:54:32.9208477Z d65f68344841: Pulling fs layer 2025-12-04T08:54:32.9208764Z bdc64880d54b: Pulling fs layer 2025-12-04T08:54:32.9209037Z 0ac9b4cbd8d6: Pulling fs layer 2025-12-04T08:54:32.9209325Z ff4a13fdd487: Pulling fs layer 2025-12-04T08:54:32.9209607Z f6d4514e7906: Pulling fs layer 2025-12-04T08:54:32.9209879Z 7feb58d88ec8: Pulling fs layer 2025-12-04T08:54:32.9210165Z ae946e83ad80: Pulling fs layer 2025-12-04T08:54:32.9210447Z 7ced24139d75: Pulling fs layer 2025-12-04T08:54:32.9210714Z b26641cb8af0: Pulling fs layer 2025-12-04T08:54:32.9210996Z f5ffb9853afd: Pulling fs layer 2025-12-04T08:54:32.9211270Z 4aa62fab1ece: Waiting 2025-12-04T08:54:32.9211502Z 7a10eaeace60: Waiting 2025-12-04T08:54:32.9211753Z 85f7f5ab98a2: Pulling fs layer 2025-12-04T08:54:32.9212025Z f1e2075e5eb2: Waiting 2025-12-04T08:54:32.9212265Z 1d774143d46c: Waiting 2025-12-04T08:54:32.9212498Z 61299215b0fb: Pulling fs layer 2025-12-04T08:54:32.9212767Z f1a623399314: Waiting 2025-12-04T08:54:32.9213004Z a1a0e4546dd0: Waiting 2025-12-04T08:54:32.9213235Z 2c9a7d58a196: Waiting 2025-12-04T08:54:32.9213644Z 838727984164: Waiting 2025-12-04T08:54:32.9213898Z 16b98c683cdf: Pulling fs layer 2025-12-04T08:54:32.9214160Z 4148c341f564: Waiting 2025-12-04T08:54:32.9214398Z 1247d3ca9112: Waiting 2025-12-04T08:54:32.9214647Z 35c23ac6db6d: Pulling fs layer 2025-12-04T08:54:32.9214908Z d65f68344841: Waiting 2025-12-04T08:54:32.9215157Z b90b01d6da43: Pulling fs layer 2025-12-04T08:54:32.9215428Z 2f60a5515fca: Waiting 2025-12-04T08:54:32.9215653Z bdc64880d54b: Waiting 2025-12-04T08:54:32.9215889Z 67a68c3643f9: Waiting 2025-12-04T08:54:32.9216124Z 1b3a2f08f95e: Waiting 2025-12-04T08:54:32.9216347Z 342fc23bd590: Waiting 2025-12-04T08:54:32.9216583Z ad40056b7301: Waiting 2025-12-04T08:54:32.9216819Z 56fadbe5a22c: Waiting 2025-12-04T08:54:32.9217056Z 5aca81540cba: Pulling fs layer 2025-12-04T08:54:32.9217335Z 0ac9b4cbd8d6: Waiting 2025-12-04T08:54:32.9217572Z b00a1cd19dae: Waiting 2025-12-04T08:54:32.9217806Z d2de17964c91: Waiting 2025-12-04T08:54:32.9218026Z 2306d6a7c853: Waiting 2025-12-04T08:54:32.9218279Z c8da94486492: Pulling fs layer 2025-12-04T08:54:32.9218550Z 7feb58d88ec8: Waiting 2025-12-04T08:54:32.9218774Z ff4a13fdd487: Waiting 2025-12-04T08:54:32.9219016Z 7ced24139d75: Waiting 2025-12-04T08:54:32.9219250Z ae946e83ad80: Waiting 2025-12-04T08:54:32.9219509Z b7e6ff1c204a: Pulling fs layer 2025-12-04T08:54:32.9219780Z f6d4514e7906: Waiting 2025-12-04T08:54:32.9220016Z b90b01d6da43: Waiting 2025-12-04T08:54:32.9220241Z 16b98c683cdf: Waiting 2025-12-04T08:54:32.9220479Z 35c23ac6db6d: Waiting 2025-12-04T08:54:32.9220721Z b26641cb8af0: Waiting 2025-12-04T08:54:32.9220963Z f5ffb9853afd: Waiting 2025-12-04T08:54:32.9221190Z 5aca81540cba: Waiting 2025-12-04T08:54:32.9221439Z 2aa7833ad57a: Pulling fs layer 2025-12-04T08:54:32.9221718Z 85f7f5ab98a2: Waiting 2025-12-04T08:54:32.9221947Z 61299215b0fb: Waiting 2025-12-04T08:54:32.9222194Z c7fb1cba105a: Pulling fs layer 2025-12-04T08:54:32.9222467Z b7e6ff1c204a: Waiting 2025-12-04T08:54:32.9222689Z c8da94486492: Waiting 2025-12-04T08:54:32.9223004Z 2aa7833ad57a: Waiting 2025-12-04T08:54:32.9223257Z 1e2bc289f2f0: Pulling fs layer 2025-12-04T08:54:32.9223522Z c7fb1cba105a: Waiting 2025-12-04T08:54:32.9223777Z 81b4829c81a3: Pulling fs layer 2025-12-04T08:54:32.9224059Z 1e2bc289f2f0: Waiting 2025-12-04T08:54:32.9224289Z 531e62fd7b48: Waiting 2025-12-04T08:54:32.9224539Z c370919b7953: Pulling fs layer 2025-12-04T08:54:32.9224827Z a2b6cf5acc8f: Pulling fs layer 2025-12-04T08:54:32.9225092Z 81b4829c81a3: Waiting 2025-12-04T08:54:32.9225386Z c370919b7953: Waiting 2025-12-04T08:54:32.9225636Z aae7fb386890: Pulling fs layer 2025-12-04T08:54:32.9225909Z 405bd83d0433: Pulling fs layer 2025-12-04T08:54:32.9226188Z a2b6cf5acc8f: Waiting 2025-12-04T08:54:32.9226443Z 8e0628908158: Pulling fs layer 2025-12-04T08:54:32.9226814Z 7e536259fa1f: Pulling fs layer 2025-12-04T08:54:32.9227089Z a50b5c320162: Pulling fs layer 2025-12-04T08:54:32.9227411Z 0b09c1642c91: Pulling fs layer 2025-12-04T08:54:32.9227701Z 503ffad700cd: Pulling fs layer 2025-12-04T08:54:32.9227987Z dde1ddfc4205: Pulling fs layer 2025-12-04T08:54:32.9228276Z 6fff2372e67a: Pulling fs layer 2025-12-04T08:54:32.9228551Z 503ffad700cd: Waiting 2025-12-04T08:54:32.9228792Z c0c4cfd870fe: Pulling fs layer 2025-12-04T08:54:32.9229062Z a50b5c320162: Waiting 2025-12-04T08:54:32.9229296Z 0b09c1642c91: Waiting 2025-12-04T08:54:32.9229520Z aae7fb386890: Waiting 2025-12-04T08:54:32.9229756Z 405bd83d0433: Waiting 2025-12-04T08:54:32.9229988Z 7e536259fa1f: Waiting 2025-12-04T08:54:32.9230215Z 6fff2372e67a: Waiting 2025-12-04T08:54:32.9230446Z 8e0628908158: Waiting 2025-12-04T08:54:32.9230682Z dde1ddfc4205: Waiting 2025-12-04T08:54:32.9946582Z 5a99dbbe8953: Download complete 2025-12-04T08:54:33.0684408Z a2c983655925: Download complete 2025-12-04T08:54:33.2738338Z 63e5bc7682b8: Verifying Checksum 2025-12-04T08:54:33.2739162Z 63e5bc7682b8: Download complete 2025-12-04T08:54:33.3480826Z 7a10eaeace60: Verifying Checksum 2025-12-04T08:54:33.3481293Z 7a10eaeace60: Download complete 2025-12-04T08:54:33.4105146Z 1247d3ca9112: Verifying Checksum 2025-12-04T08:54:33.4106039Z 1247d3ca9112: Download complete 2025-12-04T08:54:33.4976623Z 20dc7ae2d07a: Verifying Checksum 2025-12-04T08:54:33.4977254Z 20dc7ae2d07a: Download complete 2025-12-04T08:54:33.5868653Z d96455071753: Verifying Checksum 2025-12-04T08:54:33.5869451Z d96455071753: Download complete 2025-12-04T08:54:33.7008245Z 5ff6957a629c: Verifying Checksum 2025-12-04T08:54:33.7008609Z 5ff6957a629c: Download complete 2025-12-04T08:54:33.7644186Z bd3db159a6ab: Verifying Checksum 2025-12-04T08:54:33.7644626Z bd3db159a6ab: Download complete 2025-12-04T08:54:33.7668237Z 7428d586b9d2: Verifying Checksum 2025-12-04T08:54:33.7668707Z 7428d586b9d2: Download complete 2025-12-04T08:54:33.8339291Z 62f866d38c3a: Download complete 2025-12-04T08:54:33.8396097Z 5b976bbaf127: Download complete 2025-12-04T08:54:33.8451886Z 4f4fb700ef54: Download complete 2025-12-04T08:54:33.9184614Z 4aa62fab1ece: Verifying Checksum 2025-12-04T08:54:33.9185219Z 4aa62fab1ece: Download complete 2025-12-04T08:54:34.0189484Z f1e2075e5eb2: Verifying Checksum 2025-12-04T08:54:34.0189932Z f1e2075e5eb2: Download complete 2025-12-04T08:54:34.0787448Z f1a623399314: Verifying Checksum 2025-12-04T08:54:34.0788000Z f1a623399314: Download complete 2025-12-04T08:54:34.1667776Z 838727984164: Verifying Checksum 2025-12-04T08:54:34.1668300Z 838727984164: Download complete 2025-12-04T08:54:34.2251606Z 63e5bc7682b8: Pull complete 2025-12-04T08:54:34.2457385Z 5a99dbbe8953: Pull complete 2025-12-04T08:54:34.2658794Z 1d774143d46c: Verifying Checksum 2025-12-04T08:54:34.2659314Z 1d774143d46c: Download complete 2025-12-04T08:54:34.3401481Z 2c9a7d58a196: Verifying Checksum 2025-12-04T08:54:34.3402027Z 2c9a7d58a196: Download complete 2025-12-04T08:54:34.4120636Z a1a0e4546dd0: Download complete 2025-12-04T08:54:34.4887903Z 4148c341f564: Verifying Checksum 2025-12-04T08:54:34.4888270Z 4148c341f564: Download complete 2025-12-04T08:54:34.5532255Z b00a1cd19dae: Verifying Checksum 2025-12-04T08:54:34.5532760Z b00a1cd19dae: Download complete 2025-12-04T08:54:34.6278631Z 2306d6a7c853: Verifying Checksum 2025-12-04T08:54:34.6279139Z 2306d6a7c853: Download complete 2025-12-04T08:54:34.7202930Z 531e62fd7b48: Verifying Checksum 2025-12-04T08:54:34.7203286Z 531e62fd7b48: Download complete 2025-12-04T08:54:34.7884246Z 342fc23bd590: Download complete 2025-12-04T08:54:36.4187181Z 90c4def1b127: Verifying Checksum 2025-12-04T08:54:36.4187567Z 90c4def1b127: Download complete 2025-12-04T08:54:36.4950663Z ad40056b7301: Download complete 2025-12-04T08:54:36.5749782Z 56fadbe5a22c: Verifying Checksum 2025-12-04T08:54:36.5750361Z 56fadbe5a22c: Download complete 2025-12-04T08:54:36.6487535Z 67a68c3643f9: Verifying Checksum 2025-12-04T08:54:36.6488057Z 67a68c3643f9: Download complete 2025-12-04T08:54:36.7347927Z 2f60a5515fca: Verifying Checksum 2025-12-04T08:54:36.7348531Z 2f60a5515fca: Download complete 2025-12-04T08:54:36.9808489Z 1b3a2f08f95e: Verifying Checksum 2025-12-04T08:54:36.9808888Z 1b3a2f08f95e: Download complete 2025-12-04T08:54:37.0521639Z d65f68344841: Verifying Checksum 2025-12-04T08:54:37.0522262Z d65f68344841: Download complete 2025-12-04T08:54:37.1413575Z bdc64880d54b: Verifying Checksum 2025-12-04T08:54:37.1414101Z bdc64880d54b: Download complete 2025-12-04T08:54:37.1983784Z 0ac9b4cbd8d6: Verifying Checksum 2025-12-04T08:54:37.1984345Z 0ac9b4cbd8d6: Download complete 2025-12-04T08:54:37.3193870Z ff4a13fdd487: Verifying Checksum 2025-12-04T08:54:37.3194804Z ff4a13fdd487: Download complete 2025-12-04T08:54:37.3734454Z f6d4514e7906: Download complete 2025-12-04T08:54:37.4299375Z 7feb58d88ec8: Verifying Checksum 2025-12-04T08:54:37.4300525Z 7feb58d88ec8: Download complete 2025-12-04T08:54:37.5323684Z ae946e83ad80: Verifying Checksum 2025-12-04T08:54:37.5324176Z ae946e83ad80: Download complete 2025-12-04T08:54:37.6208388Z 7ced24139d75: Verifying Checksum 2025-12-04T08:54:37.6208760Z 7ced24139d75: Download complete 2025-12-04T08:54:37.7008954Z b26641cb8af0: Verifying Checksum 2025-12-04T08:54:37.7009522Z b26641cb8af0: Download complete 2025-12-04T08:54:37.7675776Z f5ffb9853afd: Verifying Checksum 2025-12-04T08:54:37.7676365Z f5ffb9853afd: Download complete 2025-12-04T08:54:37.8382186Z 85f7f5ab98a2: Verifying Checksum 2025-12-04T08:54:37.8382726Z 85f7f5ab98a2: Download complete 2025-12-04T08:54:37.9332339Z 61299215b0fb: Verifying Checksum 2025-12-04T08:54:37.9332958Z 61299215b0fb: Download complete 2025-12-04T08:54:38.0123877Z 16b98c683cdf: Download complete 2025-12-04T08:54:38.1035909Z 35c23ac6db6d: Verifying Checksum 2025-12-04T08:54:38.1036487Z 35c23ac6db6d: Download complete 2025-12-04T08:54:38.1860495Z b90b01d6da43: Download complete 2025-12-04T08:54:38.2588124Z 5aca81540cba: Verifying Checksum 2025-12-04T08:54:38.2588704Z 5aca81540cba: Download complete 2025-12-04T08:54:38.3129339Z c8da94486492: Verifying Checksum 2025-12-04T08:54:38.3129884Z c8da94486492: Download complete 2025-12-04T08:54:38.3658755Z b7e6ff1c204a: Verifying Checksum 2025-12-04T08:54:38.3659343Z b7e6ff1c204a: Download complete 2025-12-04T08:54:38.4319756Z 2aa7833ad57a: Verifying Checksum 2025-12-04T08:54:38.4320822Z 2aa7833ad57a: Download complete 2025-12-04T08:54:38.5286556Z c7fb1cba105a: Verifying Checksum 2025-12-04T08:54:38.5287172Z c7fb1cba105a: Download complete 2025-12-04T08:54:38.6302661Z 1e2bc289f2f0: Verifying Checksum 2025-12-04T08:54:38.6303698Z 1e2bc289f2f0: Download complete 2025-12-04T08:54:38.7211011Z 81b4829c81a3: Download complete 2025-12-04T08:54:38.8009193Z c370919b7953: Download complete 2025-12-04T08:54:38.9181846Z a2b6cf5acc8f: Verifying Checksum 2025-12-04T08:54:38.9182476Z a2b6cf5acc8f: Download complete 2025-12-04T08:54:39.0084385Z aae7fb386890: Verifying Checksum 2025-12-04T08:54:39.0084902Z aae7fb386890: Download complete 2025-12-04T08:54:39.0837728Z 405bd83d0433: Verifying Checksum 2025-12-04T08:54:39.0838316Z 405bd83d0433: Download complete 2025-12-04T08:54:39.4719620Z d2de17964c91: Verifying Checksum 2025-12-04T08:54:39.4720227Z d2de17964c91: Download complete 2025-12-04T08:54:39.5353948Z 7e536259fa1f: Verifying Checksum 2025-12-04T08:54:39.5354388Z 7e536259fa1f: Download complete 2025-12-04T08:54:39.6141283Z a50b5c320162: Verifying Checksum 2025-12-04T08:54:39.6141878Z a50b5c320162: Download complete 2025-12-04T08:54:39.6790647Z 0b09c1642c91: Download complete 2025-12-04T08:54:39.7379970Z 503ffad700cd: Download complete 2025-12-04T08:54:39.8185287Z dde1ddfc4205: Verifying Checksum 2025-12-04T08:54:39.8185861Z dde1ddfc4205: Download complete 2025-12-04T08:54:39.9180988Z 6fff2372e67a: Verifying Checksum 2025-12-04T08:54:39.9181381Z 6fff2372e67a: Download complete 2025-12-04T08:54:40.5096892Z c0c4cfd870fe: Verifying Checksum 2025-12-04T08:54:40.5097532Z c0c4cfd870fe: Download complete 2025-12-04T08:54:41.6000573Z 8e0628908158: Verifying Checksum 2025-12-04T08:54:41.6001026Z 8e0628908158: Download complete 2025-12-04T08:54:45.5428299Z 90c4def1b127: Pull complete 2025-12-04T08:54:45.6754023Z a2c983655925: Pull complete 2025-12-04T08:54:47.0345634Z bd3db159a6ab: Pull complete 2025-12-04T08:54:47.1421556Z 7a10eaeace60: Pull complete 2025-12-04T08:54:47.2513467Z 1247d3ca9112: Pull complete 2025-12-04T08:54:47.3679506Z 20dc7ae2d07a: Pull complete 2025-12-04T08:54:47.5138638Z d96455071753: Pull complete 2025-12-04T08:54:47.6372483Z 5ff6957a629c: Pull complete 2025-12-04T08:54:47.7466241Z 7428d586b9d2: Pull complete 2025-12-04T08:54:47.9615658Z 62f866d38c3a: Pull complete 2025-12-04T08:54:48.1331827Z 5b976bbaf127: Pull complete 2025-12-04T08:55:08.6133893Z 67fdd8a2cae7: Verifying Checksum 2025-12-04T08:55:08.6134397Z 67fdd8a2cae7: Download complete 2025-12-04T08:56:09.7618167Z 67fdd8a2cae7: Pull complete 2025-12-04T08:56:09.9753956Z 4f4fb700ef54: Pull complete 2025-12-04T08:56:10.0867162Z 4aa62fab1ece: Pull complete 2025-12-04T08:56:10.1688377Z f1e2075e5eb2: Pull complete 2025-12-04T08:56:10.2548421Z f1a623399314: Pull complete 2025-12-04T08:56:10.3724626Z 838727984164: Pull complete 2025-12-04T08:56:10.5222087Z 1d774143d46c: Pull complete 2025-12-04T08:56:10.7164881Z 2c9a7d58a196: Pull complete 2025-12-04T08:56:10.8000438Z a1a0e4546dd0: Pull complete 2025-12-04T08:56:10.8455258Z 4148c341f564: Pull complete 2025-12-04T08:56:10.8801388Z b00a1cd19dae: Pull complete 2025-12-04T08:56:10.9094867Z 2306d6a7c853: Pull complete 2025-12-04T08:56:10.9684494Z 531e62fd7b48: Pull complete 2025-12-04T08:56:10.9967143Z 342fc23bd590: Pull complete 2025-12-04T08:56:23.1016322Z d2de17964c91: Pull complete 2025-12-04T08:56:23.2997176Z ad40056b7301: Pull complete 2025-12-04T08:56:23.3898191Z 56fadbe5a22c: Pull complete 2025-12-04T08:56:23.4526135Z 67a68c3643f9: Pull complete 2025-12-04T08:56:23.4807900Z 2f60a5515fca: Pull complete 2025-12-04T08:56:24.0326659Z 1b3a2f08f95e: Pull complete 2025-12-04T08:56:24.0559695Z d65f68344841: Pull complete 2025-12-04T08:56:24.0763722Z bdc64880d54b: Pull complete 2025-12-04T08:56:24.1182463Z 0ac9b4cbd8d6: Pull complete 2025-12-04T08:56:24.1389948Z ff4a13fdd487: Pull complete 2025-12-04T08:56:24.1604094Z f6d4514e7906: Pull complete 2025-12-04T08:56:24.2026077Z 7feb58d88ec8: Pull complete 2025-12-04T08:56:24.2237095Z ae946e83ad80: Pull complete 2025-12-04T08:56:24.2652100Z 7ced24139d75: Pull complete 2025-12-04T08:56:24.2864521Z b26641cb8af0: Pull complete 2025-12-04T08:56:24.3279215Z f5ffb9853afd: Pull complete 2025-12-04T08:56:24.3491935Z 85f7f5ab98a2: Pull complete 2025-12-04T08:56:24.3914988Z 61299215b0fb: Pull complete 2025-12-04T08:56:24.4354153Z 16b98c683cdf: Pull complete 2025-12-04T08:56:24.4560396Z 35c23ac6db6d: Pull complete 2025-12-04T08:56:24.4970817Z b90b01d6da43: Pull complete 2025-12-04T08:56:24.5391099Z 5aca81540cba: Pull complete 2025-12-04T08:56:24.5603106Z c8da94486492: Pull complete 2025-12-04T08:56:24.6014986Z b7e6ff1c204a: Pull complete 2025-12-04T08:56:24.6427522Z 2aa7833ad57a: Pull complete 2025-12-04T08:56:24.6640865Z c7fb1cba105a: Pull complete 2025-12-04T08:56:24.7073562Z 1e2bc289f2f0: Pull complete 2025-12-04T08:56:24.7282888Z 81b4829c81a3: Pull complete 2025-12-04T08:56:24.7693591Z c370919b7953: Pull complete 2025-12-04T08:56:24.7912372Z a2b6cf5acc8f: Pull complete 2025-12-04T08:56:24.8327775Z aae7fb386890: Pull complete 2025-12-04T08:56:24.8541670Z 405bd83d0433: Pull complete 2025-12-04T08:56:31.7342805Z 8e0628908158: Pull complete 2025-12-04T08:56:31.9099240Z 7e536259fa1f: Pull complete 2025-12-04T08:56:31.9843517Z a50b5c320162: Pull complete 2025-12-04T08:56:32.0579465Z 0b09c1642c91: Pull complete 2025-12-04T08:56:32.0891774Z 503ffad700cd: Pull complete 2025-12-04T08:56:32.1187837Z dde1ddfc4205: Pull complete 2025-12-04T08:56:32.1798520Z 6fff2372e67a: Pull complete 2025-12-04T08:56:33.9476243Z c0c4cfd870fe: Pull complete 2025-12-04T08:56:34.1344208Z Digest: sha256:44d91ac3fb28148b815d1cceb9cd39141de00f73eeb8e8813204519b10fe3c21 2025-12-04T08:56:34.1663803Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:56:34.1704249Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:56:34.1762382Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:56:34.1763412Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:56:34.1770282Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:34.1770669Z env: 2025-12-04T08:56:34.1770878Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:34.1771148Z ##[endgroup] 2025-12-04T08:56:34.2306832Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T08:56:34.2307262Z with: 2025-12-04T08:56:34.2307479Z driver-version: 580.82.07 2025-12-04T08:56:34.2307743Z env: 2025-12-04T08:56:34.2307955Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:34.2308206Z ##[endgroup] 2025-12-04T08:56:34.2366819Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:56:34.2367787Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:56:34.2374141Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:34.2374536Z env: 2025-12-04T08:56:34.2374757Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:34.2375011Z ##[endgroup] 2025-12-04T08:56:34.2431478Z ##[group]Run set -euo pipefail 2025-12-04T08:56:34.2431947Z set -euo pipefail 2025-12-04T08:56:34.2432260Z  2025-12-04T08:56:34.2432471Z has_gpu=false 2025-12-04T08:56:34.2432724Z devices="" 2025-12-04T08:56:34.2432961Z  2025-12-04T08:56:34.2433226Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T08:56:34.2433703Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:56:34.2434219Z  has_gpu=true 2025-12-04T08:56:34.2434522Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:56:34.2434839Z  fi 2025-12-04T08:56:34.2435069Z fi 2025-12-04T08:56:34.2435276Z  2025-12-04T08:56:34.2435491Z if [ "$has_gpu" = false ]; then 2025-12-04T08:56:34.2435893Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:56:34.2436418Z  has_gpu=true 2025-12-04T08:56:34.2436730Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:56:34.2437045Z  fi 2025-12-04T08:56:34.2437265Z fi 2025-12-04T08:56:34.2437573Z  2025-12-04T08:56:34.2437877Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T08:56:34.2438405Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:56:34.2438841Z  has_gpu=true 2025-12-04T08:56:34.2439130Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:56:34.2439456Z  fi 2025-12-04T08:56:34.2439668Z fi 2025-12-04T08:56:34.2439861Z  2025-12-04T08:56:34.2440646Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T08:56:34.2441321Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T08:56:34.2446955Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:34.2447326Z env: 2025-12-04T08:56:34.2447543Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:34.2447805Z ##[endgroup] 2025-12-04T08:56:34.4133250Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T08:56:34.4133676Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T08:56:34.4134063Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T08:56:34.4134601Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T08:56:34.4135077Z else 2025-12-04T08:56:34.4135354Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T08:56:34.4135706Z fi 2025-12-04T08:56:34.4142012Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:34.4142407Z env: 2025-12-04T08:56:34.4142630Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:34.4142900Z HAS_NVIDIA: false 2025-12-04T08:56:34.4143123Z ##[endgroup] 2025-12-04T08:56:34.4240749Z Prepare all required actions 2025-12-04T08:56:34.4273545Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T08:56:34.4273908Z with: 2025-12-04T08:56:34.4274531Z github-token: *** 2025-12-04T08:56:34.4274757Z env: 2025-12-04T08:56:34.4274977Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:34.4275256Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:34.4275496Z ##[endgroup] 2025-12-04T08:56:34.4347933Z ##[group]Run set -eux 2025-12-04T08:56:34.4348194Z set -eux 2025-12-04T08:56:34.4348653Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T08:56:34.4354535Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:34.4354907Z env: 2025-12-04T08:56:34.4355123Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:34.4355409Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:34.4355833Z GITHUB_TOKEN: *** 2025-12-04T08:56:34.4356058Z ##[endgroup] 2025-12-04T08:56:34.4380262Z + python3 .github/scripts/get_workflow_job_id.py 19922814090 i-0c77d3bb2d721819e 2025-12-04T08:56:37.0169604Z Setting output job-id=57115580607 2025-12-04T08:56:37.0170313Z Setting output job-name=linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge, rerun_disabled_tests) 2025-12-04T08:56:37.0287244Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T08:56:37.0288018Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T08:56:37.0289013Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T08:56:37.0289901Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:56:37.0295955Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:37.0296344Z env: 2025-12-04T08:56:37.0296561Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:37.0296834Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:37.0297074Z JOB_ID: 57115580607 2025-12-04T08:56:37.0297571Z JOB_NAME: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge, rerun_disabled_tests) 2025-12-04T08:56:37.0298135Z WORKFLOW_NAME: pull 2025-12-04T08:56:37.0298434Z WORKFLOW_RUN_ID: 19922814090 2025-12-04T08:56:37.0298704Z MONITOR_LOG_INTERVAL: 5 2025-12-04T08:56:37.0298978Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T08:56:37.0299273Z ##[endgroup] 2025-12-04T08:56:38.1202524Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T08:56:38.5418556Z Collecting psutil==5.9.8 2025-12-04T08:56:38.5578116Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-12-04T08:56:38.6844638Z Collecting dataclasses_json==0.6.7 2025-12-04T08:56:38.6878978Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T08:56:38.7360672Z Collecting nvidia-ml-py==11.525.84 2025-12-04T08:56:38.7394116Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T08:56:38.8789430Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T08:56:38.8829526Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T08:56:38.9488318Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T08:56:38.9523311Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T08:56:39.0512557Z Collecting packaging>=17.0 2025-12-04T08:56:39.0546619Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T08:56:39.1218858Z Collecting mypy-extensions>=0.3.0 2025-12-04T08:56:39.1250900Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T08:56:39.2113375Z Collecting typing-extensions>=3.7.4 2025-12-04T08:56:39.2147451Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T08:56:39.4239843Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T08:56:40.0173631Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-12-04T08:56:40.2673248Z Prepare all required actions 2025-12-04T08:56:40.2673947Z Getting action download info 2025-12-04T08:56:40.4495987Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:56:40.8082336Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T08:56:41.0922959Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T08:56:41.0923322Z with: 2025-12-04T08:56:41.0923559Z name: linux-jammy-py3.14-clang12 2025-12-04T08:56:41.0923873Z s3-bucket: gha-artifacts 2025-12-04T08:56:41.0924141Z env: 2025-12-04T08:56:41.0924352Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:41.0924621Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:41.0924857Z ##[endgroup] 2025-12-04T08:56:41.0953458Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T08:56:41.0953803Z with: 2025-12-04T08:56:41.0954035Z name: linux-jammy-py3.14-clang12 2025-12-04T08:56:41.0954387Z s3-bucket: gha-artifacts 2025-12-04T08:56:41.0954660Z region: us-east-1 2025-12-04T08:56:41.0954873Z env: 2025-12-04T08:56:41.0955083Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:41.0955352Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:41.0955588Z ##[endgroup] 2025-12-04T08:56:41.5651969Z (node:42813) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T08:56:41.5652911Z 2025-12-04T08:56:41.5653234Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T08:56:41.5654216Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T08:56:41.5655310Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T08:56:41.7799976Z Found 1 objects with prefix pytorch/pytorch/19922814090/linux-jammy-py3.14-clang12/ 2025-12-04T08:56:41.7800708Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T08:56:46.0547568Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T08:56:46.0552822Z Artifact download has finished successfully 2025-12-04T08:56:46.0993972Z ##[group]Run unzip -o artifacts.zip 2025-12-04T08:56:46.0994313Z unzip -o artifacts.zip 2025-12-04T08:56:46.1001235Z shell: /usr/bin/bash --noprofile --norc -e 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2025-12-04T08:56:53.0471292Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:53.0471681Z env: 2025-12-04T08:56:53.0471884Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:53.0472152Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:53.0472546Z ##[endgroup] 2025-12-04T08:56:53.0522684Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T08:56:53.0523259Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T08:56:53.0523860Z tmpfs 8.2G 0 8.2G 0% /dev/shm 2025-12-04T08:56:53.0524442Z tmpfs 3.3G 488k 3.3G 1% /run 2025-12-04T08:56:53.0525007Z /dev/nvme0n1p1 161G 28G 134G 18% / 2025-12-04T08:56:53.0525539Z tmpfs 8.2G 13k 8.2G 1% /tmp 2025-12-04T08:56:53.0525883Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T08:56:53.0563358Z Prepare all required actions 2025-12-04T08:56:53.0564152Z Getting action download info 2025-12-04T08:56:53.2477941Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T08:56:53.2478552Z with: 2025-12-04T08:56:53.2478894Z env: 2025-12-04T08:56:53.2479243Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:53.2479735Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:53.2480177Z ##[endgroup] 2025-12-04T08:56:53.2525896Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T08:56:53.2526468Z with: 2025-12-04T08:56:53.2526762Z name: td_results 2025-12-04T08:56:53.2527137Z s3-bucket: gha-artifacts 2025-12-04T08:56:53.2527559Z region: us-east-1 2025-12-04T08:56:53.2527906Z env: 2025-12-04T08:56:53.2528233Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:53.2528674Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:53.2529076Z ##[endgroup] 2025-12-04T08:56:53.7272236Z (node:42835) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T08:56:53.7272921Z 2025-12-04T08:56:53.7273116Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T08:56:53.7273682Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T08:56:53.7274262Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T08:56:53.8315414Z Found 1 objects with prefix pytorch/pytorch/19922814090/td_results/ 2025-12-04T08:56:53.8316101Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T08:56:53.8861642Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T08:56:53.8867121Z Artifact download has finished successfully 2025-12-04T08:56:53.9033625Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T08:56:53.9033994Z mkdir -p .additional_ci_files 2025-12-04T08:56:53.9034435Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T08:56:53.9041988Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:53.9042361Z env: 2025-12-04T08:56:53.9042582Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:53.9042855Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:53.9043089Z ##[endgroup] 2025-12-04T08:56:53.9151030Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T08:56:53.9151430Z .github/scripts/parse_ref.py 2025-12-04T08:56:53.9156912Z shell: /usr/bin/bash -e {0} 2025-12-04T08:56:53.9157194Z env: 2025-12-04T08:56:53.9157514Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:53.9157784Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:53.9158022Z ##[endgroup] 2025-12-04T08:56:53.9380556Z Setting output branch=main 2025-12-04T08:56:53.9512215Z Prepare all required actions 2025-12-04T08:56:53.9512601Z Getting action download info 2025-12-04T08:56:54.1011060Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T08:56:54.1011408Z with: 2025-12-04T08:56:54.1011817Z github-token: *** 2025-12-04T08:56:54.1017088Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T08:56:54.1022989Z job-name: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge, rerun_disabled_tests) 2025-12-04T08:56:54.1023539Z env: 2025-12-04T08:56:54.1023754Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:54.1024028Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:54.1024267Z ##[endgroup] 2025-12-04T08:56:54.1059896Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:56:54.1060196Z with: 2025-12-04T08:56:54.1060405Z shell: bash 2025-12-04T08:56:54.1060633Z timeout_minutes: 10 2025-12-04T08:56:54.1060869Z max_attempts: 5 2025-12-04T08:56:54.1061110Z retry_wait_seconds: 30 2025-12-04T08:56:54.1061925Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T08:56:54.1062787Z polling_interval_seconds: 1 2025-12-04T08:56:54.1063063Z warning_on_retry: true 2025-12-04T08:56:54.1063325Z continue_on_error: false 2025-12-04T08:56:54.1063589Z env: 2025-12-04T08:56:54.1063786Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:54.1064053Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:54.1064463Z GITHUB_TOKEN: *** 2025-12-04T08:56:54.1064697Z ##[endgroup] 2025-12-04T08:56:54.2032325Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T08:56:54.4388916Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T08:56:54.5500210Z Collecting requests==2.27.1 2025-12-04T08:56:54.5671152Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T08:56:54.7408999Z Collecting pyyaml==6.0.2 2025-12-04T08:56:54.7442646Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T08:56:55.1456628Z Collecting charset-normalizer~=2.0.0 2025-12-04T08:56:55.1492521Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T08:56:55.1546446Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T08:56:55.2007670Z Collecting certifi>=2017.4.17 2025-12-04T08:56:55.2041266Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T08:56:55.2104922Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T08:56:55.2931263Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T08:56:55.4104588Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T08:56:56.1828796Z Command completed after 1 attempt(s). 2025-12-04T08:56:56.1889541Z ##[group]Run set -x 2025-12-04T08:56:56.1889803Z set -x 2025-12-04T08:56:56.1890032Z  2025-12-04T08:56:56.1890425Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T08:56:56.1890925Z # in runner workspace 2025-12-04T08:56:56.1891302Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T08:56:56.1897986Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:56.1898375Z env: 2025-12-04T08:56:56.1898606Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:56.1898879Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:56.1899130Z ##[endgroup] 2025-12-04T08:56:56.1923930Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T08:56:56.2103453Z Setting output branch=main 2025-12-04T08:56:56.2162400Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T08:56:56.2163091Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T08:56:56.2163630Z echo "Job name: ${JOB_NAME}" 2025-12-04T08:56:56.2164088Z  2025-12-04T08:56:56.2164730Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T08:56:56.2165581Z # in runner workspace 2025-12-04T08:56:56.2166344Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T08:56:56.2167239Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T08:56:56.2167846Z  --job-name "${JOB_NAME}" \ 2025-12-04T08:56:56.2177549Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}" \ 2025-12-04T08:56:56.2187752Z  --selected-test-configs "" \ 2025-12-04T08:56:56.2188334Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T08:56:56.2188860Z  --tag "${TAG}" \ 2025-12-04T08:56:56.2189341Z  --event-name "${EVENT_NAME}" \ 2025-12-04T08:56:56.2189919Z  --schedule "${SCHEDULE}" \ 2025-12-04T08:56:56.2190451Z  --branch "${HEAD_BRANCH}" 2025-12-04T08:56:56.2199015Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:56.2199685Z env: 2025-12-04T08:56:56.2200022Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:56.2200455Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:56.2201251Z GITHUB_TOKEN: *** 2025-12-04T08:56:56.2202019Z JOB_NAME: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge, rerun_disabled_tests) 2025-12-04T08:56:56.2202722Z PR_NUMBER: 2025-12-04T08:56:56.2202943Z TAG: 2025-12-04T08:56:56.2203154Z EVENT_NAME: schedule 2025-12-04T08:56:56.2203396Z SCHEDULE: 29 8 * * * 2025-12-04T08:56:56.2203639Z HEAD_BRANCH: main 2025-12-04T08:56:56.2203874Z ##[endgroup] 2025-12-04T08:56:56.2227098Z Workflow: pull 2025-12-04T08:56:56.2227604Z Job name: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge, rerun_disabled_tests) 2025-12-04T08:56:56.4126284Z Setting output keep-going=True 2025-12-04T08:56:56.4126666Z Setting output ci-verbose-test-logs=False 2025-12-04T08:56:56.4127046Z Setting output ci-test-showlocals=False 2025-12-04T08:56:56.4127382Z Setting output ci-no-test-timeout=False 2025-12-04T08:56:56.4127713Z Setting output ci-no-td=False 2025-12-04T08:56:56.4128026Z Setting output ci-td-distributed=False 2025-12-04T08:56:56.4128347Z Setting output is-unstable=False 2025-12-04T08:56:56.4128662Z Setting output reenabled-issues= 2025-12-04T08:56:56.4134024Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T08:56:56.4139623Z Setting output is-test-matrix-empty=False 2025-12-04T08:56:56.4247945Z ##[group]Run echo "Filtered matrix:" 2025-12-04T08:56:56.4248320Z echo "Filtered matrix:" 2025-12-04T08:56:56.4253741Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}" 2025-12-04T08:56:56.4259207Z  2025-12-04T08:56:56.4259403Z echo 2025-12-04T08:56:56.4259687Z echo "Is the current job unstable? False" 2025-12-04T08:56:56.4260127Z  2025-12-04T08:56:56.4260320Z echo 2025-12-04T08:56:56.4260590Z echo "Is keep-going label set? True" 2025-12-04T08:56:56.4260921Z  2025-12-04T08:56:56.4261118Z echo 2025-12-04T08:56:56.4261361Z echo "Reenabled issues? " 2025-12-04T08:56:56.4267095Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:56.4267486Z env: 2025-12-04T08:56:56.4267691Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:56.4267964Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:56.4268224Z ##[endgroup] 2025-12-04T08:56:56.4290776Z Filtered matrix: 2025-12-04T08:56:56.4297444Z {include: [{config: default, shard: 1, num_shards: 5, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 2, num_shards: 5, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 3, num_shards: 5, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 4, num_shards: 5, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 5, num_shards: 5, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: crossref, shard: 1, num_shards: 2, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: crossref, shard: 2, num_shards: 2, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: dynamo_wrapped, shard: 1, num_shards: 3, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: dynamo_wrapped, shard: 2, num_shards: 3, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: dynamo_wrapped, shard: 3, num_shards: 3, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: einops, shard: 1, num_shards: 1, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: openreg, shard: 1, num_shards: 1, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}]} 2025-12-04T08:56:56.4302750Z 2025-12-04T08:56:56.4302868Z Is the current job unstable? False 2025-12-04T08:56:56.4303160Z 2025-12-04T08:56:56.4303276Z Is keep-going label set? True 2025-12-04T08:56:56.4303464Z 2025-12-04T08:56:56.4303567Z Reenabled issues? 2025-12-04T08:56:56.4333878Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T08:56:56.4334416Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T08:56:56.4339869Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:56.4340497Z env: 2025-12-04T08:56:56.4340717Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:56.4340987Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:56.4341224Z JOB_TIMEOUT: 240 2025-12-04T08:56:56.4341452Z ##[endgroup] 2025-12-04T08:56:56.4386170Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:56:56.4386710Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:56:56.4387189Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:56:56.4392495Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:56.4392884Z env: 2025-12-04T08:56:56.4393103Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:56.4393374Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:56.4393608Z ##[endgroup] 2025-12-04T08:56:56.4482983Z ##[group]Run set -x 2025-12-04T08:56:56.4483321Z set -x 2025-12-04T08:56:56.4483544Z  2025-12-04T08:56:56.4483799Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T08:56:56.4484190Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T08:56:56.4484597Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T08:56:56.4484967Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T08:56:56.4485265Z else 2025-12-04T08:56:56.4485524Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T08:56:56.4485842Z fi 2025-12-04T08:56:56.4486037Z  2025-12-04T08:56:56.4486409Z # Leaving 1GB for the runner and other things 2025-12-04T08:56:56.4487009Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T08:56:56.4487907Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T08:56:56.4488636Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T08:56:56.4489186Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T08:56:56.4489617Z  2025-12-04T08:56:56.4489877Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T08:56:56.4490236Z  SHM_OPTS= 2025-12-04T08:56:56.4490487Z  JENKINS_USER= 2025-12-04T08:56:56.4490834Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T08:56:56.4491329Z  # if for some reason cleanup action doesn't stop container 2025-12-04T08:56:56.4491743Z  # when job is cancelled 2025-12-04T08:56:56.4492064Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T08:56:56.4492392Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T08:56:56.4492710Z else 2025-12-04T08:56:56.4492962Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T08:56:56.4493299Z  JENKINS_USER="--user jenkins" 2025-12-04T08:56:56.4493619Z  DOCKER_SHELL_CMD= 2025-12-04T08:56:56.4493913Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T08:56:56.4494203Z fi 2025-12-04T08:56:56.4494410Z  2025-12-04T08:56:56.4494758Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T08:56:56.4495315Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T08:56:56.4495937Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T08:56:56.4496493Z # shellcheck disable=SC2086,SC2090 2025-12-04T08:56:56.4496848Z container_name=$(docker run \ 2025-12-04T08:56:56.4497153Z  ${GPU_FLAG:-} \ 2025-12-04T08:56:56.4497462Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T08:56:56.4497821Z  -e BUILD_ENVIRONMENT \ 2025-12-04T08:56:56.4498128Z  -e PR_NUMBER \ 2025-12-04T08:56:56.4498395Z  -e GITHUB_ACTIONS \ 2025-12-04T08:56:56.4498689Z  -e GITHUB_REPOSITORY \ 2025-12-04T08:56:56.4498999Z  -e GITHUB_WORKFLOW \ 2025-12-04T08:56:56.4499275Z  -e GITHUB_JOB \ 2025-12-04T08:56:56.4499546Z  -e GITHUB_RUN_ID \ 2025-12-04T08:56:56.4499827Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T08:56:56.4500119Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T08:56:56.4500414Z  -e JOB_ID \ 2025-12-04T08:56:56.4500667Z  -e JOB_NAME \ 2025-12-04T08:56:56.4500926Z  -e BASE_SHA \ 2025-12-04T08:56:56.4501171Z  -e BRANCH \ 2025-12-04T08:56:56.4501418Z  -e SHA1 \ 2025-12-04T08:56:56.4501675Z  -e AWS_DEFAULT_REGION \ 2025-12-04T08:56:56.4501967Z  -e IN_WHEEL_TEST \ 2025-12-04T08:56:56.4502251Z  -e SHARD_NUMBER \ 2025-12-04T08:56:56.4502532Z  -e TEST_CONFIG \ 2025-12-04T08:56:56.4502803Z  -e NUM_TEST_SHARDS \ 2025-12-04T08:56:56.4503193Z  -e REENABLED_ISSUES \ 2025-12-04T08:56:56.4503508Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T08:56:56.4503818Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T08:56:56.4504119Z  -e TEST_SHOWLOCALS \ 2025-12-04T08:56:56.4504411Z  -e NO_TEST_TIMEOUT \ 2025-12-04T08:56:56.4504700Z  -e NO_TD \ 2025-12-04T08:56:56.4504944Z  -e TD_DISTRIBUTED \ 2025-12-04T08:56:56.4505231Z  -e PR_LABELS \ 2025-12-04T08:56:56.4505532Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T08:56:56.4505860Z  -e SCCACHE_BUCKET \ 2025-12-04T08:56:56.4506148Z  -e SCCACHE_REGION \ 2025-12-04T08:56:56.4506499Z  -e XLA_CUDA \ 2025-12-04T08:56:56.4506778Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T08:56:56.4507148Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T08:56:56.4507531Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T08:56:56.4507916Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T08:56:56.4508255Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T08:56:56.4508593Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T08:56:56.4508942Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T08:56:56.4509259Z  -e DASHBOARD_TAG \ 2025-12-04T08:56:56.4509550Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T08:56:56.4509919Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T08:56:56.4510332Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T08:56:56.4510755Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T08:56:56.4511159Z  --security-opt seccomp=unconfined \ 2025-12-04T08:56:56.4511511Z  --cap-add=SYS_PTRACE \ 2025-12-04T08:56:56.4511797Z  --ipc=host \ 2025-12-04T08:56:56.4512055Z  ${SHM_OPTS} \ 2025-12-04T08:56:56.4512309Z  --tty \ 2025-12-04T08:56:56.4512534Z  --detach \ 2025-12-04T08:56:56.4512804Z  --name="${container_name}" \ 2025-12-04T08:56:56.4513121Z  ${JENKINS_USER} \ 2025-12-04T08:56:56.4513463Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T08:56:56.4513870Z  -w /var/lib/jenkins/workspace \ 2025-12-04T08:56:56.4514190Z  "${USED_IMAGE}" \ 2025-12-04T08:56:56.4514469Z  ${DOCKER_SHELL_CMD} 2025-12-04T08:56:56.4514725Z ) 2025-12-04T08:56:56.4515063Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T08:56:56.4515487Z  2025-12-04T08:56:56.4515738Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T08:56:56.4516340Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T08:56:56.4516877Z fi 2025-12-04T08:56:56.4517086Z  2025-12-04T08:56:56.4517685Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T08:56:56.4523236Z shell: /usr/bin/bash -e {0} 2025-12-04T08:56:56.4523514Z env: 2025-12-04T08:56:56.4523717Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:56.4523994Z HAS_NVIDIA_GPU: false 2025-12-04T08:56:56.4524299Z BUILD_ENVIRONMENT: linux-jammy-py3.14-clang12 2025-12-04T08:56:56.4524632Z PR_NUMBER: 2025-12-04T08:56:56.4524872Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T08:56:56.4525185Z GITHUB_WORKFLOW: pull 2025-12-04T08:56:56.4525424Z GITHUB_JOB: test 2025-12-04T08:56:56.4525665Z GITHUB_RUN_ID: 19922814090 2025-12-04T08:56:56.4525939Z GITHUB_RUN_NUMBER: 384169 2025-12-04T08:56:56.4526211Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T08:56:56.4526453Z JOB_ID: 57115580607 2025-12-04T08:56:56.4526951Z JOB_NAME: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge, rerun_disabled_tests) 2025-12-04T08:56:56.4527509Z BRANCH: main 2025-12-04T08:56:56.4527763Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:56:56.4528248Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:56:56.4528625Z TEST_CONFIG: dynamo_wrapped 2025-12-04T08:56:56.4528907Z SHARD_NUMBER: 1 2025-12-04T08:56:56.4529145Z NUM_TEST_SHARDS: 3 2025-12-04T08:56:56.4529376Z EXTRA_FLAGS: 2025-12-04T08:56:56.4529611Z OP_BENCHMARK_TESTS: 2025-12-04T08:56:56.4529864Z REENABLED_ISSUES: 2025-12-04T08:56:56.4530112Z CONTINUE_THROUGH_ERROR: True 2025-12-04T08:56:56.4530403Z VERBOSE_TEST_LOGS: False 2025-12-04T08:56:56.4530680Z TEST_SHOWLOCALS: False 2025-12-04T08:56:56.4530949Z NO_TEST_TIMEOUT: False 2025-12-04T08:56:56.4531191Z NO_TD: False 2025-12-04T08:56:56.4531424Z TD_DISTRIBUTED: False 2025-12-04T08:56:56.4531807Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T08:56:56.4532167Z SCCACHE_REGION: us-east-1 2025-12-04T08:56:56.4532440Z SHM_SIZE: 1g 2025-12-04T08:56:56.4533187Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:56:56.4534529Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:56:56.4535344Z XLA_CUDA: 2025-12-04T08:56:56.4535709Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:56:56.4536186Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T08:56:56.4536503Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 1 2025-12-04T08:56:56.4536808Z DASHBOARD_TAG: 2025-12-04T08:56:56.4537248Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T08:56:56.4537663Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T08:56:56.4538088Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T08:56:56.4538513Z ARTIFACTS_FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.2xlarge_57115580607 2025-12-04T08:56:56.4538962Z ##[endgroup] 2025-12-04T08:56:56.4560669Z + [[ dynamo_wrapped == \m\u\l\t\i\g\p\u ]] 2025-12-04T08:56:56.4561043Z + [[ linux-jammy-py3.14-clang12 == *onnx* ]] 2025-12-04T08:56:56.4561385Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T08:56:56.4563778Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T08:56:56.4643227Z + TOTAL_AVAILABLE_MEMORY_IN_GB='14.244 ' 2025-12-04T08:56:56.4643683Z + TOTAL_MEMORY_WITH_SWAP=17 2025-12-04T08:56:56.4644103Z + [[ linux-jammy-py3.14-clang12 == *\s\3\9\0\x* ]] 2025-12-04T08:56:56.4644456Z + SHM_OPTS=--shm-size=1g 2025-12-04T08:56:56.4644731Z + JENKINS_USER='--user jenkins' 2025-12-04T08:56:56.4645000Z + DOCKER_SHELL_CMD= 2025-12-04T08:56:56.4645741Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:56:56.4652447Z +++ nproc --ignore=2 2025-12-04T08:56:56.4676302Z ++ 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-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:03.0918639Z + container_name=2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T08:57:03.0919946Z + echo DOCKER_CONTAINER_ID=2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T08:57:03.0920531Z + [[ linux-jammy-py3.14-clang12 == *\s\3\9\0\x* ]] 2025-12-04T08:57:03.0925759Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp314-cp314-linux_x86_64.whl 2025-12-04T08:57:03.0927716Z + docker exec -t 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp314-cp314-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T08:57:03.6073750Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp314-cp314-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T08:57:04.1338021Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0) 2025-12-04T08:57:04.1341770Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.12.2) 2025-12-04T08:57:04.1347511Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (78.1.1) 2025-12-04T08:57:04.1350989Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3) 2025-12-04T08:57:04.1354412Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8) 2025-12-04T08:57:04.1357322Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6) 2025-12-04T08:57:04.1360979Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0) 2025-12-04T08:57:04.1374028Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0) 2025-12-04T08:57:04.1474332Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.3.4) 2025-12-04T08:57:04.1505348Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from sympy>=1.13.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0) 2025-12-04T08:57:04.1549072Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3) 2025-12-04T08:57:04.3679598Z Installing collected packages: torch 2025-12-04T08:57:16.5917768Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T08:57:16.6800533Z + export TERM=vt100 2025-12-04T08:57:16.6800830Z + TERM=vt100 2025-12-04T08:57:16.6803140Z ++ dirname .ci/pytorch/test.sh 2025-12-04T08:57:16.6820223Z + source .ci/pytorch/common.sh 2025-12-04T08:57:16.6826784Z +++ dirname .ci/pytorch/common.sh 2025-12-04T08:57:16.6833719Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T08:57:16.6843620Z +++ declare -f -t trap_add 2025-12-04T08:57:16.6848673Z ++ set -ex -o pipefail 2025-12-04T08:57:16.6849025Z ++ [[ linux-jammy-py3.14-clang12 == *rocm* ]] 2025-12-04T08:57:16.6849371Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T08:57:16.6852022Z ++ dirname .ci/pytorch/test.sh 2025-12-04T08:57:16.6858664Z + source .ci/pytorch/common-build.sh 2025-12-04T08:57:16.6864564Z ++ [[ linux-jammy-py3.14-clang12 != *win-* ]] 2025-12-04T08:57:16.6869849Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T08:57:16.6877811Z +++ cd .ci/pytorch 2025-12-04T08:57:16.6878107Z +++ pwd -P 2025-12-04T08:57:16.6880120Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T08:57:16.6880550Z ++ [[ linux-jammy-py3.14-clang12 == *-pch* ]] 2025-12-04T08:57:16.6880879Z ++ which sccache 2025-12-04T08:57:16.6900296Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T08:57:16.6900696Z ++ sccache --stop-server 2025-12-04T08:57:16.6949604Z ++ true 2025-12-04T08:57:16.6949923Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T08:57:16.6969740Z ++ trap_add sccache_epilogue EXIT 2025-12-04T08:57:16.6970117Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T08:57:16.6970400Z ++ shift 2025-12-04T08:57:16.6970622Z ++ for trap_add_name in "$@" 2025-12-04T08:57:16.6976532Z ++++ trap -p EXIT 2025-12-04T08:57:16.6979012Z +++ eval 'extract_trap_cmd ' 2025-12-04T08:57:16.6979489Z ++++ extract_trap_cmd 2025-12-04T08:57:16.6979900Z ++++ printf '%s\n' '' 2025-12-04T08:57:16.6980216Z +++ printf '%s\n' sccache_epilogue 2025-12-04T08:57:16.6981838Z ++ trap -- ' 2025-12-04T08:57:16.6982202Z sccache_epilogue' EXIT 2025-12-04T08:57:16.6982688Z ++ [[ -n 1 ]] 2025-12-04T08:57:16.6983101Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T08:57:16.6983724Z Skipping sccache server initialization, setting environment variables 2025-12-04T08:57:16.6984242Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:57:16.6984583Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:57:16.6984995Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:57:16.6985508Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:57:16.6993004Z ++ export RUST_LOG=sccache::server=error 2025-12-04T08:57:16.6993373Z ++ RUST_LOG=sccache::server=error 2025-12-04T08:57:16.6993692Z ++ sccache --zero-stats 2025-12-04T08:57:16.8200183Z Statistics zeroed. 2025-12-04T08:57:16.8203838Z ++ which ccache 2025-12-04T08:57:16.8221720Z + [[ linux-jammy-py3.14-clang12 != *rocm* ]] 2025-12-04T08:57:16.8222120Z + [[ linux-jammy-py3.14-clang12 != *s390x* ]] 2025-12-04T08:57:16.8222505Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T08:57:16.8225083Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T08:57:16.8291382Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T08:57:16.8291944Z + trap_add cleanup_workspace EXIT 2025-12-04T08:57:16.8292557Z + trap_add_cmd=cleanup_workspace 2025-12-04T08:57:16.8293116Z + shift 2025-12-04T08:57:16.8293541Z + for trap_add_name in "$@" 2025-12-04T08:57:16.8299483Z +++ trap -p EXIT 2025-12-04T08:57:16.8302594Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T08:57:16.8303093Z sccache_epilogue'\'' EXIT' 2025-12-04T08:57:16.8303487Z +++ extract_trap_cmd trap -- ' 2025-12-04T08:57:16.8303864Z sccache_epilogue' EXIT 2025-12-04T08:57:16.8304338Z +++ printf '%s\n' ' 2025-12-04T08:57:16.8304816Z sccache_epilogue' 2025-12-04T08:57:16.8305317Z ++ printf '%s\n' cleanup_workspace 2025-12-04T08:57:16.8305886Z + trap -- ' 2025-12-04T08:57:16.8306308Z sccache_epilogue 2025-12-04T08:57:16.8306746Z cleanup_workspace' EXIT 2025-12-04T08:57:16.8307295Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T08:57:17.5198393Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T08:57:17.5378234Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]] 2025-12-04T08:57:17.5378826Z + echo 'Environment variables:' 2025-12-04T08:57:17.5379114Z Environment variables: 2025-12-04T08:57:17.5379360Z + env 2025-12-04T08:57:17.5395982Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:57:17.5396677Z CONTINUE_THROUGH_ERROR=True 2025-12-04T08:57:17.5397168Z BUILD_ENVIRONMENT=linux-jammy-py3.14-clang12 2025-12-04T08:57:17.5397895Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T08:57:17.5398458Z HOSTNAME=2794eb3449ec 2025-12-04T08:57:17.5399105Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_87d47782-e0de-41fb-b939-4ca390db8c37 2025-12-04T08:57:17.5399744Z GITHUB_ACTION=__run_3 2025-12-04T08:57:17.5400015Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T08:57:17.5400322Z GITHUB_RUN_NUMBER=384169 2025-12-04T08:57:17.5400782Z TEST_CONFIG=dynamo_wrapped 2025-12-04T08:57:17.5401078Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T08:57:17.5401419Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T08:57:17.5401729Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:57:17.5402239Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T08:57:17.5402606Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T08:57:17.5402971Z GITHUB_REF_TYPE=branch 2025-12-04T08:57:17.5403314Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:17.5403657Z XLA_CUDA= 2025-12-04T08:57:17.5403885Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T08:57:17.5404290Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T08:57:17.5404785Z *** 2025-12-04T08:57:17.5405063Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T08:57:17.5405628Z GITHUB_ACTIONS=true 2025-12-04T08:57:17.5406012Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:57:17.5406615Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:17.5407205Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:17.5408069Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-12-04T08:57:17.5408874Z UCC_HOME=/usr 2025-12-04T08:57:17.5409258Z VERBOSE_TEST_LOGS=False 2025-12-04T08:57:17.5409687Z GITHUB_REF=refs/heads/main 2025-12-04T08:57:17.5410100Z SHARD_NUMBER=1 2025-12-04T08:57:17.5410467Z GITHUB_REF_PROTECTED=true 2025-12-04T08:57:17.5410841Z HOME=/var/lib/jenkins 2025-12-04T08:57:17.5411304Z GITHUB_API_URL=https://api.github.com 2025-12-04T08:57:17.5411857Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T08:57:17.5412335Z UCX_COMMIT= 2025-12-04T08:57:17.5412669Z USE_SYSTEM_NCCL=1 2025-12-04T08:57:17.5413056Z NUM_TEST_SHARDS=3 2025-12-04T08:57:17.5413427Z UCX_HOME=/usr 2025-12-04T08:57:17.5414423Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_87d47782-e0de-41fb-b939-4ca390db8c37 2025-12-04T08:57:17.5416036Z JOB_NAME=linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge, rerun_disabled_tests) 2025-12-04T08:57:17.5417601Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_87d47782-e0de-41fb-b939-4ca390db8c37 2025-12-04T08:57:17.5418948Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T08:57:17.5419722Z GITHUB_EVENT_NAME=schedule 2025-12-04T08:57:17.5420140Z DASHBOARD_TAG= 2025-12-04T08:57:17.5420524Z GITHUB_RUN_ID=19922814090 2025-12-04T08:57:17.5420953Z INSTALLED_OPENBLAS= 2025-12-04T08:57:17.5422004Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_87d47782-e0de-41fb-b939-4ca390db8c37 2025-12-04T08:57:17.5422885Z GITHUB_ACTOR=huydhn 2025-12-04T08:57:17.5423109Z PR_NUMBER= 2025-12-04T08:57:17.5423340Z DESIRED_CUDA= 2025-12-04T08:57:17.5423565Z GITHUB_RUN_ATTEMPT=1 2025-12-04T08:57:17.5423832Z ANACONDA_PYTHON_VERSION=3.14 2025-12-04T08:57:17.5424171Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T08:57:17.5424525Z TERM=vt100 2025-12-04T08:57:17.5424740Z INSTALLED_VISION=yes 2025-12-04T08:57:17.5424976Z BRANCH=main 2025-12-04T08:57:17.5425198Z SCCACHE_REGION=us-east-1 2025-12-04T08:57:17.5425470Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T08:57:17.5425741Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T08:57:17.5426004Z CUDA_PATH=/usr/local/cuda 2025-12-04T08:57:17.5426536Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T08:57:17.5427122Z GITHUB_SERVER_URL=https://github.com 2025-12-04T08:57:17.5427424Z UCC_COMMIT= 2025-12-04T08:57:17.5427638Z REENABLED_ISSUES= 2025-12-04T08:57:17.5427846Z DOCS= 2025-12-04T08:57:17.5428040Z SHLVL=1 2025-12-04T08:57:17.5428235Z MAX_JOBS=6 2025-12-04T08:57:17.5439647Z GITHUB_ACTOR_ID=475357 2025-12-04T08:57:17.5440214Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:17.5440632Z GITHUB_REF_NAME=main 2025-12-04T08:57:17.5441019Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:57:17.5441470Z GITHUB_JOB=test 2025-12-04T08:57:17.5441709Z NO_TEST_TIMEOUT=False 2025-12-04T08:57:17.5442137Z TD_DISTRIBUTED=False 2025-12-04T08:57:17.5442415Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T08:57:17.5442729Z GITHUB_RETENTION_DAYS=90 2025-12-04T08:57:17.5442998Z OPENSSL_DIR=/opt/openssl 2025-12-04T08:57:17.5443258Z GITHUB_ACTION_REPOSITORY= 2025-12-04T08:57:17.5444066Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:57:17.5444900Z GITHUB_BASE_REF= 2025-12-04T08:57:17.5445123Z INSTALLED_ACL= 2025-12-04T08:57:17.5445499Z ARTIFACTS_FILE_SUFFIX=test-dynamo_wrapped-1-3-linux.2xlarge_57115580607 2025-12-04T08:57:17.5446052Z CI=true 2025-12-04T08:57:17.5446268Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T08:57:17.5446605Z RUST_LOG=sccache::server=error 2025-12-04T08:57:17.5446887Z JOB_ID=57115580607 2025-12-04T08:57:17.5447107Z GITHUB_HEAD_REF= 2025-12-04T08:57:17.5447343Z GITHUB_ACTION_REF= 2025-12-04T08:57:17.5447643Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T08:57:17.5448012Z TEST_SHOWLOCALS=False 2025-12-04T08:57:17.5448252Z GITHUB_WORKFLOW=pull 2025-12-04T08:57:17.5448516Z DEBIAN_FRONTEND=noninteractive 2025-12-04T08:57:17.5449167Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_87d47782-e0de-41fb-b939-4ca390db8c37 2025-12-04T08:57:17.5449816Z NO_TD=False 2025-12-04T08:57:17.5450050Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T08:57:17.5450365Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T08:57:17.5450666Z _=/usr/bin/env 2025-12-04T08:57:17.5450985Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T08:57:17.5607329Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch 2025-12-04T08:57:17.5608225Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T08:57:17.5609104Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib 2025-12-04T08:57:17.5609874Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/test 2025-12-04T08:57:17.5610344Z + BUILD_DIR=build 2025-12-04T08:57:17.5610588Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T08:57:17.5610894Z + BUILD_BIN_DIR=build/bin 2025-12-04T08:57:17.5611156Z + SHARD_NUMBER=1 2025-12-04T08:57:17.5611373Z + NUM_TEST_SHARDS=3 2025-12-04T08:57:17.5611631Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:57:17.5611962Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:57:17.5612247Z + export VALGRIND=ON 2025-12-04T08:57:17.5612477Z + VALGRIND=ON 2025-12-04T08:57:17.5612743Z + [[ linux-jammy-py3.14-clang12 == *clang9* ]] 2025-12-04T08:57:17.5613106Z + [[ linux-jammy-py3.14-clang12 == *xpu* ]] 2025-12-04T08:57:17.5613543Z + detect_cuda_arch 2025-12-04T08:57:17.5613912Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]] 2025-12-04T08:57:17.5614264Z + [[ linux-jammy-py3.14-clang12 == *s390x* ]] 2025-12-04T08:57:17.5614586Z + [[ 1 == \1 ]] 2025-12-04T08:57:17.5614797Z + ulimit -c 0 2025-12-04T08:57:17.5615063Z + [[ linux-jammy-py3.14-clang12 != *bazel* ]] 2025-12-04T08:57:17.5615417Z ++ realpath build/custom_test_artifacts 2025-12-04T08:57:17.5635815Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T08:57:17.5636424Z + [[ -n '' ]] 2025-12-04T08:57:17.5636670Z + echo 'Environment variables' 2025-12-04T08:57:17.5636983Z Environment variables 2025-12-04T08:57:17.5637242Z + env 2025-12-04T08:57:17.5654446Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:57:17.5655148Z CONTINUE_THROUGH_ERROR=True 2025-12-04T08:57:17.5655460Z BUILD_ENVIRONMENT=linux-jammy-py3.14-clang12 2025-12-04T08:57:17.5656327Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T08:57:17.5656820Z HOSTNAME=2794eb3449ec 2025-12-04T08:57:17.5657622Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_87d47782-e0de-41fb-b939-4ca390db8c37 2025-12-04T08:57:17.5658262Z GITHUB_ACTION=__run_3 2025-12-04T08:57:17.5658529Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T08:57:17.5659022Z GITHUB_RUN_NUMBER=384169 2025-12-04T08:57:17.5659287Z TEST_CONFIG=dynamo_wrapped 2025-12-04T08:57:17.5659578Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T08:57:17.5659908Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T08:57:17.5660221Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:57:17.5660646Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T08:57:17.5660944Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T08:57:17.5661230Z GITHUB_REF_TYPE=branch 2025-12-04T08:57:17.5661519Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:17.5661999Z XLA_CUDA= 2025-12-04T08:57:17.5662372Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T08:57:17.5662987Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T08:57:17.5663453Z *** 2025-12-04T08:57:17.5663676Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T08:57:17.5663964Z GITHUB_ACTIONS=true 2025-12-04T08:57:17.5664255Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:57:17.5664660Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:17.5665083Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:17.5665600Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-12-04T08:57:17.5666081Z UCC_HOME=/usr 2025-12-04T08:57:17.5666314Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:57:17.5666600Z VERBOSE_TEST_LOGS=False 2025-12-04T08:57:17.5667022Z GITHUB_REF=refs/heads/main 2025-12-04T08:57:17.5667355Z SHARD_NUMBER=1 2025-12-04T08:57:17.5667579Z GITHUB_REF_PROTECTED=true 2025-12-04T08:57:17.5667842Z HOME=/var/lib/jenkins 2025-12-04T08:57:17.5668123Z GITHUB_API_URL=https://api.github.com 2025-12-04T08:57:17.5668446Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T08:57:17.5668739Z UCX_COMMIT= 2025-12-04T08:57:17.5668958Z USE_SYSTEM_NCCL=1 2025-12-04T08:57:17.5669188Z NUM_TEST_SHARDS=3 2025-12-04T08:57:17.5669401Z UCX_HOME=/usr 2025-12-04T08:57:17.5669979Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_87d47782-e0de-41fb-b939-4ca390db8c37 2025-12-04T08:57:17.5670888Z JOB_NAME=linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge, rerun_disabled_tests) 2025-12-04T08:57:17.5671979Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_87d47782-e0de-41fb-b939-4ca390db8c37 2025-12-04T08:57:17.5672817Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T08:57:17.5673339Z GITHUB_EVENT_NAME=schedule 2025-12-04T08:57:17.5673605Z DASHBOARD_TAG= 2025-12-04T08:57:17.5673823Z GITHUB_RUN_ID=19922814090 2025-12-04T08:57:17.5674085Z INSTALLED_OPENBLAS= 2025-12-04T08:57:17.5674719Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_87d47782-e0de-41fb-b939-4ca390db8c37 2025-12-04T08:57:17.5675626Z GITHUB_ACTOR=huydhn 2025-12-04T08:57:17.5675859Z PR_NUMBER= 2025-12-04T08:57:17.5676069Z DESIRED_CUDA= 2025-12-04T08:57:17.5676279Z GITHUB_RUN_ATTEMPT=1 2025-12-04T08:57:17.5676519Z VALGRIND=ON 2025-12-04T08:57:17.5676745Z ANACONDA_PYTHON_VERSION=3.14 2025-12-04T08:57:17.5677121Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T08:57:17.5677571Z TERM=vt100 2025-12-04T08:57:17.5677789Z INSTALLED_VISION=yes 2025-12-04T08:57:17.5678033Z BRANCH=main 2025-12-04T08:57:17.5678246Z SCCACHE_REGION=us-east-1 2025-12-04T08:57:17.5678524Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T08:57:17.5678809Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T08:57:17.5679138Z CUDA_PATH=/usr/local/cuda 2025-12-04T08:57:17.5679799Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T08:57:17.5680401Z GITHUB_SERVER_URL=https://github.com 2025-12-04T08:57:17.5680691Z UCC_COMMIT= 2025-12-04T08:57:17.5680906Z REENABLED_ISSUES= 2025-12-04T08:57:17.5681137Z DOCS= 2025-12-04T08:57:17.5681318Z SHLVL=1 2025-12-04T08:57:17.5681516Z MAX_JOBS=6 2025-12-04T08:57:17.5681733Z GITHUB_ACTOR_ID=475357 2025-12-04T08:57:17.5682068Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:17.5682468Z GITHUB_REF_NAME=main 2025-12-04T08:57:17.5683245Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:57:17.5683713Z GITHUB_JOB=test 2025-12-04T08:57:17.5683935Z NO_TEST_TIMEOUT=False 2025-12-04T08:57:17.5684192Z TD_DISTRIBUTED=False 2025-12-04T08:57:17.5684466Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T08:57:17.5684761Z GITHUB_RETENTION_DAYS=90 2025-12-04T08:57:17.5685032Z OPENSSL_DIR=/opt/openssl 2025-12-04T08:57:17.5685301Z GITHUB_ACTION_REPOSITORY= 2025-12-04T08:57:17.5686091Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:57:17.5686990Z GITHUB_BASE_REF= 2025-12-04T08:57:17.5687410Z INSTALLED_ACL= 2025-12-04T08:57:17.5687774Z ARTIFACTS_FILE_SUFFIX=test-dynamo_wrapped-1-3-linux.2xlarge_57115580607 2025-12-04T08:57:17.5688217Z CI=true 2025-12-04T08:57:17.5688444Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T08:57:17.5688775Z RUST_LOG=sccache::server=error 2025-12-04T08:57:17.5689038Z JOB_ID=57115580607 2025-12-04T08:57:17.5689273Z GITHUB_HEAD_REF= 2025-12-04T08:57:17.5689508Z GITHUB_ACTION_REF= 2025-12-04T08:57:17.5689791Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T08:57:17.5690155Z TEST_SHOWLOCALS=False 2025-12-04T08:57:17.5690412Z GITHUB_WORKFLOW=pull 2025-12-04T08:57:17.5690660Z DEBIAN_FRONTEND=noninteractive 2025-12-04T08:57:17.5691311Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_87d47782-e0de-41fb-b939-4ca390db8c37 2025-12-04T08:57:17.5691971Z NO_TD=False 2025-12-04T08:57:17.5692187Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T08:57:17.5692496Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T08:57:17.5692943Z _=/usr/bin/env 2025-12-04T08:57:17.5693239Z + echo 'Testing pytorch' 2025-12-04T08:57:17.5693495Z Testing pytorch 2025-12-04T08:57:17.5693739Z + export LANG=C.UTF-8 2025-12-04T08:57:17.5693969Z + LANG=C.UTF-8 2025-12-04T08:57:17.5705646Z + PR_NUMBER= 2025-12-04T08:57:17.5706091Z + [[ dynamo_wrapped == \d\e\f\a\u\l\t ]] 2025-12-04T08:57:17.5706733Z + [[ dynamo_wrapped == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T08:57:17.5707300Z + [[ dynamo_wrapped == \s\l\o\w ]] 2025-12-04T08:57:17.5707948Z + [[ linux-jammy-py3.14-clang12 == *slow-gradcheck* ]] 2025-12-04T08:57:17.5708628Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]] 2025-12-04T08:57:17.5709162Z + [[ linux-jammy-py3.14-clang12 == *rocm* ]] 2025-12-04T08:57:17.5709737Z + [[ linux-jammy-py3.14-clang12 == *xpu* ]] 2025-12-04T08:57:17.5710311Z + [[ dynamo_wrapped == *crossref* ]] 2025-12-04T08:57:17.5710773Z + [[ linux-jammy-py3.14-clang12 == *rocm* ]] 2025-12-04T08:57:17.5711131Z + [[ linux-jammy-py3.14-clang12 == *xpu* ]] 2025-12-04T08:57:17.5711487Z + [[ linux-jammy-py3.14-clang12 != *-bazel-* ]] 2025-12-04T08:57:17.5711841Z + pip_install ninja==1.10.2 2025-12-04T08:57:17.5712203Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T08:57:17.5712684Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T08:57:17.9651190Z Collecting ninja==1.10.2 2025-12-04T08:57:17.9894133Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T08:57:18.0004758Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T08:57:18.1676230Z Installing collected packages: ninja 2025-12-04T08:57:18.1677181Z Attempting uninstall: ninja 2025-12-04T08:57:18.1706142Z Found existing installation: ninja 1.11.1.4 2025-12-04T08:57:18.1728447Z Uninstalling ninja-1.11.1.4: 2025-12-04T08:57:18.1791087Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T08:57:18.2015528Z Successfully installed ninja-1.10.2 2025-12-04T08:57:18.2658529Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:57:18.2660455Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:57:18.2666489Z + [[ linux-jammy-py3.14-clang12 == *aarch64* ]] 2025-12-04T08:57:18.2667393Z + [[ linux-jammy-py3.14-clang12 == *asan* ]] 2025-12-04T08:57:18.2667833Z + [[ linux-jammy-py3.14-clang12 == *-debug* ]] 2025-12-04T08:57:18.2668207Z + [[ linux-jammy-py3.14-clang12 != *-bazel-* ]] 2025-12-04T08:57:18.2668736Z + echo 'We are not in debug mode: linux-jammy-py3.14-clang12. Expect the assertion to pass' 2025-12-04T08:57:18.2669401Z We are not in debug mode: linux-jammy-py3.14-clang12. Expect the assertion to pass 2025-12-04T08:57:18.2671326Z + cd test 2025-12-04T08:57:18.2671724Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T08:57:19.6120713Z + [[ dynamo_wrapped == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T08:57:19.6121152Z + [[ dynamo_wrapped == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T08:57:19.6121581Z + [[ dynamo_wrapped == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T08:57:19.6126161Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T08:57:19.6127138Z + [[ dynamo_wrapped == *pr_time_benchmarks* ]] 2025-12-04T08:57:19.6127817Z + [[ dynamo_wrapped == *dynamo_eager* ]] 2025-12-04T08:57:19.6128255Z + [[ dynamo_wrapped == *aot_eager* ]] 2025-12-04T08:57:19.6128567Z + [[ dynamo_wrapped == *aot_inductor* ]] 2025-12-04T08:57:19.6128922Z + [[ dynamo_wrapped == *max_autotune_inductor* ]] 2025-12-04T08:57:19.6129283Z + [[ dynamo_wrapped == *inductor* ]] 2025-12-04T08:57:19.6129582Z + [[ dynamo_wrapped == *dynamic* ]] 2025-12-04T08:57:19.6129893Z + [[ dynamo_wrapped == *cpu* ]] 2025-12-04T08:57:19.6130182Z + [[ dynamo_wrapped == *xpu* ]] 2025-12-04T08:57:19.6130489Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T08:57:19.6153015Z + [[ linux-jammy-py3.14-clang12 == *libtorch* ]] 2025-12-04T08:57:19.6153457Z + [[ linux-jammy-py3.14-clang12 == *-bazel-* ]] 2025-12-04T08:57:19.6156060Z + cd test 2025-12-04T08:57:19.6156708Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T08:57:20.6771065Z PyTorch built with: 2025-12-04T08:57:20.6771468Z - GCC 4.2 2025-12-04T08:57:20.6771682Z - C++ Version: 201703 2025-12-04T08:57:20.6771941Z - clang 12.0.1 2025-12-04T08:57:20.6772505Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T08:57:20.6773271Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T08:57:20.6773693Z - OpenMP 201811 2025-12-04T08:57:20.6773970Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T08:57:20.6774308Z - NNPACK is enabled 2025-12-04T08:57:20.6774562Z - CPU capability usage: AVX512 2025-12-04T08:57:20.6780022Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=35b7a9a26c5923d98aebaa41a031dae21788a9ee, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-12-04T08:57:20.6785629Z 2025-12-04T08:57:20.9553854Z + cd test 2025-12-04T08:57:20.9554795Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T08:57:22.0221730Z ATen/Parallel: 2025-12-04T08:57:22.0222075Z at::get_num_threads() : 4 2025-12-04T08:57:22.0222381Z at::get_num_interop_threads() : 4 2025-12-04T08:57:22.0222675Z OpenMP 201811 2025-12-04T08:57:22.0222893Z omp_get_max_threads() : 4 2025-12-04T08:57:22.0223471Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T08:57:22.0224085Z mkl_get_max_threads() : 4 2025-12-04T08:57:22.0224462Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T08:57:22.0224917Z std::thread::hardware_concurrency() : 8 2025-12-04T08:57:22.0225515Z Environment variables: 2025-12-04T08:57:22.0225766Z OMP_NUM_THREADS : [not set] 2025-12-04T08:57:22.0226045Z MKL_NUM_THREADS : [not set] 2025-12-04T08:57:22.0226336Z ATen parallel backend: OpenMP 2025-12-04T08:57:22.0226525Z 2025-12-04T08:57:22.2964734Z + [[ dynamo_wrapped == *numpy_2* ]] 2025-12-04T08:57:22.2965152Z + [[ linux-jammy-py3.14-clang12 == *aarch64* ]] 2025-12-04T08:57:22.2965500Z + [[ dynamo_wrapped == *backward* ]] 2025-12-04T08:57:22.2965869Z + [[ dynamo_wrapped == *libtorch_agnostic_targetting* ]] 2025-12-04T08:57:22.2966244Z + [[ dynamo_wrapped == *xla* ]] 2025-12-04T08:57:22.2966523Z + [[ dynamo_wrapped == *vllm* ]] 2025-12-04T08:57:22.2966824Z + [[ dynamo_wrapped == *executorch* ]] 2025-12-04T08:57:22.2967159Z + [[ dynamo_wrapped == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T08:57:22.2967511Z + [[ dynamo_wrapped == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T08:57:22.2967892Z + [[ linux-jammy-py3.14-clang12 == *libtorch* ]] 2025-12-04T08:57:22.2968275Z + [[ dynamo_wrapped == distributed ]] 2025-12-04T08:57:22.2968691Z + [[ dynamo_wrapped == *operator_benchmark* ]] 2025-12-04T08:57:22.2969066Z + [[ dynamo_wrapped == *operator_microbenchmark* ]] 2025-12-04T08:57:22.2969470Z + [[ dynamo_wrapped == *attention_microbenchmark* ]] 2025-12-04T08:57:22.2969867Z + [[ dynamo_wrapped == *inductor_distributed* ]] 2025-12-04T08:57:22.2970218Z + [[ dynamo_wrapped == *inductor-halide* ]] 2025-12-04T08:57:22.2970562Z + [[ dynamo_wrapped == *inductor-pallas* ]] 2025-12-04T08:57:22.2970921Z + [[ dynamo_wrapped == *inductor-triton-cpu* ]] 2025-12-04T08:57:22.2971315Z + [[ dynamo_wrapped == *inductor-micro-benchmark* ]] 2025-12-04T08:57:22.2971738Z + [[ dynamo_wrapped == *aoti_cross_compile_for_windows* ]] 2025-12-04T08:57:22.2972125Z + [[ dynamo_wrapped == *huggingface* ]] 2025-12-04T08:57:22.2972445Z + [[ dynamo_wrapped == *timm* ]] 2025-12-04T08:57:22.2972732Z + [[ dynamo_wrapped == cachebench ]] 2025-12-04T08:57:22.2973059Z + [[ dynamo_wrapped == verify_cachebench ]] 2025-12-04T08:57:22.2973403Z + [[ dynamo_wrapped == *torchbench* ]] 2025-12-04T08:57:22.2973734Z + [[ dynamo_wrapped == *inductor_cpp_wrapper* ]] 2025-12-04T08:57:22.2974089Z + [[ dynamo_wrapped == *inductor_core* ]] 2025-12-04T08:57:22.2974413Z + [[ dynamo_wrapped == *inductor* ]] 2025-12-04T08:57:22.2974716Z + [[ dynamo_wrapped == *einops* ]] 2025-12-04T08:57:22.2975026Z + [[ dynamo_wrapped == *dynamo_core* ]] 2025-12-04T08:57:22.2975355Z + [[ dynamo_wrapped == *dynamo_wrapped* ]] 2025-12-04T08:57:22.2975660Z + install_torchvision 2025-12-04T08:57:22.2975909Z + local orig_preload 2025-12-04T08:57:22.2976148Z + local commit 2025-12-04T08:57:22.2976379Z ++ get_pinned_commit vision 2025-12-04T08:57:22.2976658Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T08:57:22.2995637Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:57:22.2996275Z + orig_preload= 2025-12-04T08:57:22.2996613Z + '[' -n '' ']' 2025-12-04T08:57:22.2996923Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]] 2025-12-04T08:57:22.2997757Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T08:57:22.2998748Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:57:22.2999379Z + local wheel_dir=dist/vision 2025-12-04T08:57:22.2999895Z + local found_whl=0 2025-12-04T08:57:22.3000161Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:57:22.3000452Z + [[ -f dist/vision/*.whl ]] 2025-12-04T08:57:22.3000714Z + '[' 0 == 0 ']' 2025-12-04T08:57:22.3001472Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:57:22.5933370Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:57:22.5938208Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-remjcb7o 2025-12-04T08:57:22.6102210Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-remjcb7o 2025-12-04T08:57:24.3384744Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T08:57:24.3401639Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:57:24.4526718Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:57:26.0543408Z Preparing metadata (pyproject.toml) ... [?25l- \ done 2025-12-04T08:57:26.0575251Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T08:59:03.1675663Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done 2025-12-04T08:59:03.1677163Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl size=1162565 sha256=f8aee295e7a7428697328b28e1199d086324da430d950992be1f49e756f44eea 2025-12-04T08:59:03.1678576Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/81/ea/ac/4eea705c7dceb07802aebda79ffca24339b243347a10b2d5c2 2025-12-04T08:59:03.1679273Z Successfully built torchvision 2025-12-04T08:59:03.2550625Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:59:03.2551263Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl 2025-12-04T08:59:03.2552025Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl') 2025-12-04T08:59:03.2552496Z + local args 2025-12-04T08:59:03.2552946Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl == *\ * ]] 2025-12-04T08:59:03.2553494Z + for path in "${args[@]}" 2025-12-04T08:59:03.2553971Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl' 2025-12-04T08:59:03.2554726Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl 2025-12-04T08:59:03.2555657Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl 2025-12-04T08:59:03.5820044Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl 2025-12-04T08:59:03.5913687Z Installing collected packages: torchvision 2025-12-04T08:59:04.1092755Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T08:59:04.1610825Z + '[' -n '' ']' 2025-12-04T08:59:04.1611108Z + test_dynamo_wrapped_shard 1 2025-12-04T08:59:04.1611399Z + [[ -z 3 ]] 2025-12-04T08:59:04.1611650Z + python tools/dynamo/verify_dynamo.py 2025-12-04T08:59:05.2381803Z Python version: 3.14.1 2025-12-04T08:59:05.2382157Z `torch` version: 2.10.0a0+gitffd9b0f 2025-12-04T08:59:05.2382466Z CUDA version: None 2025-12-04T08:59:05.2382709Z ROCM version: None 2025-12-04T08:59:05.2382849Z 2025-12-04T08:59:06.8918319Z CUDA not available -- skipping CUDA check on eager backend 2025-12-04T08:59:06.8918710Z 2025-12-04T08:59:07.5329722Z CUDA not available -- skipping CUDA check on aot_eager backend 2025-12-04T08:59:07.5330086Z 2025-12-04T08:59:18.5396338Z CUDA not available -- skipping CUDA check on inductor backend 2025-12-04T08:59:18.5396844Z 2025-12-04T08:59:18.5396957Z All required checks passed 2025-12-04T08:59:19.3237729Z + python test/run_test.py --dynamo --exclude-inductor-tests --exclude-jit-executor --exclude-distributed-tests --exclude-torch-export-tests --exclude-aot-dispatch-tests --exclude-quantization-tests --shard 1 3 --verbose --upload-artifacts-while-running 2025-12-04T08:59:23.3067318Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T08:59:23.3638116Z Ignoring disabled issues: [''] 2025-12-04T08:59:23.3737392Z Found test times from artifacts 2025-12-04T08:59:23.4125105Z Found test times from artifacts 2025-12-04T08:59:23.4138995Z Running all tests 2025-12-04T08:59:23.4282176Z Running parallel tests on 3 processes 2025-12-04T08:59:23.4287153Z Name: tests to run (est. time: 95.69min) 2025-12-04T08:59:23.4287549Z Serial tests (33): 2025-12-04T08:59:23.4287823Z dynamo/test_fake_distributed 1/1 2025-12-04T08:59:23.4288127Z test_torch 1/2 2025-12-04T08:59:23.4288369Z test_utils 1/1 2025-12-04T08:59:23.4288618Z test_python_dispatch 1/1 2025-12-04T08:59:23.4288910Z test_tensor_creation_ops 1/1 2025-12-04T08:59:23.4289182Z test_nn 2/3 2025-12-04T08:59:23.4289432Z test_multiprocessing_spawn 1/1 2025-12-04T08:59:23.4289736Z test_overrides 1/1 2025-12-04T08:59:23.4289986Z test_reductions 2/2 2025-12-04T08:59:23.4290219Z doctests 1/1 2025-12-04T08:59:23.4290475Z test_privateuseone_python_backend 1/1 2025-12-04T08:59:23.4290804Z test_cpp_api_parity 1/1 2025-12-04T08:59:23.4291075Z test_autograd_fallback 1/1 2025-12-04T08:59:23.4291351Z test_autocast 1/1 2025-12-04T08:59:23.4291676Z test_jit_disabled 1/1 2025-12-04T08:59:23.4292125Z test_cpp_extensions_mtia_backend 1/1 2025-12-04T08:59:23.4292670Z test_cpp_extensions_stream_and_event 1/1 2025-12-04T08:59:23.4293272Z test_dispatch 1/1 2025-12-04T08:59:23.4293634Z nn/test_convolution 1/2 2025-12-04T08:59:23.4293910Z nn/test_convolution 2/2 2025-12-04T08:59:23.4294201Z test_cpp_extensions_jit 1/1 2025-12-04T08:59:23.4294473Z test_cuda_trace 1/1 2025-12-04T08:59:23.4294723Z test_native_mha 1/1 2025-12-04T08:59:23.4294986Z test_cuda_nvml_based_avail 1/1 2025-12-04T08:59:23.4295278Z test_mobile_optimizer 1/1 2025-12-04T08:59:23.4295565Z test_cuda_primary_ctx 1/1 2025-12-04T08:59:23.4295866Z distributions/test_distributions 1/3 2025-12-04T08:59:23.4296213Z distributions/test_distributions 2/3 2025-12-04T08:59:23.4296544Z distributions/test_distributions 3/3 2025-12-04T08:59:23.4296872Z test_autoload_disable 1/1 2025-12-04T08:59:23.4297159Z test_autoload_enable 1/1 2025-12-04T08:59:23.4297440Z test_cpp_extensions_aot_ninja 1/1 2025-12-04T08:59:23.4297770Z test_cpp_extensions_aot_no_ninja 1/1 2025-12-04T08:59:23.4298126Z Parallel tests (62): 2025-12-04T08:59:23.4298394Z dynamo/test_dynamic_shapes 1/1 2025-12-04T08:59:23.4298758Z dynamo/test_functions 1/1 2025-12-04T08:59:23.4299042Z dynamo/test_sets 1/1 2025-12-04T08:59:23.4299377Z test_jit_fuser_te 1/1 2025-12-04T08:59:23.4299729Z dynamo/test_activation_checkpointing 1/1 2025-12-04T08:59:23.4300132Z dynamo/test_higher_order_ops 1/1 2025-12-04T08:59:23.4300453Z dynamo/test_deque_reconstruct 1/1 2025-12-04T08:59:23.4300756Z dynamo/test_model_output 1/1 2025-12-04T08:59:23.4301048Z dynamo/test_modules 1/1 2025-12-04T08:59:23.4301325Z dynamo/test_recompiles 1/1 2025-12-04T08:59:23.4301607Z dynamo/test_utils 1/1 2025-12-04T08:59:23.4301877Z dynamo/test_skip_guard_eval_unsafe 1/1 2025-12-04T08:59:23.4302194Z dynamo/test_view 1/1 2025-12-04T08:59:23.4302459Z dynamo/test_subgraphs 1/1 2025-12-04T08:59:23.4302788Z dynamo/test_pgo 1/1 2025-12-04T08:59:23.4303061Z dynamo/test_nops 1/1 2025-12-04T08:59:23.4303434Z dynamo/test_graph_region_tracker 1/1 2025-12-04T08:59:23.4303752Z dynamo/test_install_free_tensors 1/1 2025-12-04T08:59:23.4304068Z dynamo/test_profiler 1/1 2025-12-04T08:59:23.4304546Z dynamo/test_nested_graph_breaks 1/1 2025-12-04T08:59:23.4304858Z dynamo/test_deviceguard 1/1 2025-12-04T08:59:23.4305144Z dynamo/test_modes 1/1 2025-12-04T08:59:23.4305411Z dynamo/test_base_hop 1/1 2025-12-04T08:59:23.4305689Z dynamo/test_python_dispatcher 1/1 2025-12-04T08:59:23.4306002Z dynamo/test_callback 1/1 2025-12-04T08:59:23.4306283Z dynamo/test_flat_apply 1/1 2025-12-04T08:59:23.4306572Z dynamo/test_graph_deduplication 1/1 2025-12-04T08:59:23.4306900Z dynamo/test_bytecode_utils 1/1 2025-12-04T08:59:23.4307203Z dynamo/test_torchrec 1/1 2025-12-04T08:59:23.4307486Z dynamo/test_trace_rules 1/1 2025-12-04T08:59:23.4307763Z dynamo/test_subclasses 1/1 2025-12-04T08:59:23.4308148Z dynamo/test_comptime 1/1 2025-12-04T08:59:23.4308426Z xpu/test_fusion 1/1 2025-12-04T08:59:23.4308663Z xpu/test_gemm 1/1 2025-12-04T08:59:23.4308914Z functorch/test_ac 1/1 2025-12-04T08:59:23.4309182Z test_cuda_sanitizer 1/1 2025-12-04T08:59:23.4309592Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 2025-12-04T08:59:23.4310057Z optim/test_optim 1/1 2025-12-04T08:59:23.4310326Z functorch/test_vmap 3/5 2025-12-04T08:59:23.4310597Z test_xnnpack_integration 1/1 2025-12-04T08:59:23.4310936Z torch_np/numpy_tests/core/test_numerictypes 1/1 2025-12-04T08:59:23.4311296Z test_function_schema 1/1 2025-12-04T08:59:23.4311563Z test_accelerator 1/1 2025-12-04T08:59:23.4311820Z nn/test_init 1/1 2025-12-04T08:59:23.4312122Z torch_np/numpy_tests/core/test_scalar_methods 1/1 2025-12-04T08:59:23.4312513Z torch_np/numpy_tests/fft/test_helper 1/1 2025-12-04T08:59:23.4312846Z torch_np/test_function_base 1/1 2025-12-04T08:59:23.4313166Z test_type_promotion 1/1 2025-12-04T08:59:23.4313461Z torch_np/test_scalars_0D_arrays 1/1 2025-12-04T08:59:23.4313778Z profiler/test_profiler_tree 1/1 2025-12-04T08:59:23.4314128Z torch_np/numpy_tests/lib/test_arraysetops 1/1 2025-12-04T08:59:23.4314475Z test_dlpack 1/1 2025-12-04T08:59:23.4314720Z profiler/test_torch_tidy 1/1 2025-12-04T08:59:23.4315017Z lazy/test_reuse_ir 1/1 2025-12-04T08:59:23.4315316Z test_functional_autograd_benchmark 1/1 2025-12-04T08:59:23.4315638Z torch_np/test_reductions 1/1 2025-12-04T08:59:23.4315971Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 2025-12-04T08:59:23.4316352Z torch_np/numpy_tests/lib/test_arraypad 1/1 2025-12-04T08:59:23.4316681Z test_prims 1/1 2025-12-04T08:59:23.4316920Z profiler/test_python_tracer 1/1 2025-12-04T08:59:23.4317482Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 2025-12-04T08:59:23.4317985Z test_torchfuzz_repros 1/1 2025-12-04T08:59:23.4318276Z Name: excluded (est. time: 0.0min) 2025-12-04T08:59:23.4318571Z Serial tests (0): 2025-12-04T08:59:23.4318816Z Parallel tests (0): 2025-12-04T08:59:23.4319240Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 08:59:23.429815][654.085808162] 2025-12-04T08:59:23.4319741Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:59:23.4321030Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 08:59:23.430228] 2025-12-04T08:59:26.1433215Z 2025-12-04T08:59:26.1434281Z 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_bd498ac2b6261316_.log 2025-12-04T08:59:26.1435115Z 2025-12-04T08:59:26.1435444Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 08:59:26.143126][656.799118955], took 0.05min 2025-12-04T08:59:26.4009763Z Uploading artifacts took 0.26 seconds 2025-12-04T08:59:26.4010804Z Running test_torch 1/2 ... [2025-12-04 08:59:26.400918][657.056909905] 2025-12-04T08:59:26.4011231Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:59:26.4014807Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 08:59:26.401202] 2025-12-04T09:00:22.2462477Z 2025-12-04T09:00:22.2463443Z test_torch 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.2_17d11d97a3b8cd96_.log 2025-12-04T09:00:22.2516229Z 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 2025-12-04T09:00:22.2565498Z 2025-12-04T09:00:22.2565733Z Finished test_torch 1/2 ... [2025-12-04 09:00:22.246415][712.90240593], took 0.93min 2025-12-04T09:00:22.2566627Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-ba0a3351745089f4.xml 2025-12-04T09:00:22.3244304Z Running test_utils 1/1 ... [2025-12-04 09:00:22.324143][712.980135873] 2025-12-04T09:00:22.3244954Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:00:22.3247411Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:00:22.324497] 2025-12-04T09:01:35.4149847Z 2025-12-04T09:01:35.4150844Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_1e83b920d72f4337_.log 2025-12-04T09:01:35.4178330Z 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 2025-12-04T09:01:35.4203894Z 2025-12-04T09:01:35.4204129Z Finished test_utils 1/1 ... [2025-12-04 09:01:35.414656][786.070648421], took 1.22min 2025-12-04T09:01:35.4205048Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-a5ead844dff1ba1b.xml 2025-12-04T09:01:35.4993800Z Running test_python_dispatch 1/1 ... [2025-12-04 09:01:35.499081][786.155074331] 2025-12-04T09:01:35.4994411Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:01:35.4996809Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:01:35.499387] 2025-12-04T09:01:39.2933593Z 2025-12-04T09:01:39.2934479Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_5096746970b82380_.log 2025-12-04T09:01:39.2935264Z Running 0 items in this shard: 2025-12-04T09:01:39.2935456Z 2025-12-04T09:01:39.2935750Z Finished test_python_dispatch 1/1 ... [2025-12-04 09:01:39.293076][789.949068208], took 0.06min 2025-12-04T09:01:39.2940672Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-1f743487e3d5eeb9.xml 2025-12-04T09:01:39.3228005Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 09:01:39.322523][789.978517804] 2025-12-04T09:01:39.3228844Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:01:39.3230643Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:01:39.322796] 2025-12-04T09:01:42.8816485Z 2025-12-04T09:01:42.8817636Z 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_d33837f366ae687e_.log 2025-12-04T09:01:42.8818448Z Running 0 items in this shard: 2025-12-04T09:01:42.8818633Z 2025-12-04T09:01:42.8818924Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 09:01:42.881445][793.537438482], took 0.06min 2025-12-04T09:01:42.8825060Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-7c56a50ef1a78eb3.xml 2025-12-04T09:01:42.9036251Z Running test_nn 2/3 ... [2025-12-04 09:01:42.903443][793.55943771] 2025-12-04T09:01:42.9036910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:01:42.9040381Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_nn.py', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:01:42.903737] 2025-12-04T09:01:49.3967860Z 2025-12-04T09:01:49.3968657Z test_nn 2/3 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_2.3_a81b0fd3930f3987_.log 2025-12-04T09:01:49.3969383Z Running 0 items in this shard: 2025-12-04T09:01:49.3969625Z 2025-12-04T09:01:49.3969854Z Finished test_nn 2/3 ... [2025-12-04 09:01:49.396592][800.052585669], took 0.11min 2025-12-04T09:01:49.3976907Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-1abfa21cdbd7c2dd.xml 2025-12-04T09:01:49.4613784Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 09:01:49.461102][800.117095986] 2025-12-04T09:01:49.4614349Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:01:49.4616624Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:01:49.461395] 2025-12-04T09:01:57.1318151Z 2025-12-04T09:01:57.1319201Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_85de5c8404f19ad3_.log 2025-12-04T09:01:57.1320054Z Running 0 items in this shard: 2025-12-04T09:01:57.1320243Z 2025-12-04T09:01:57.1320571Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 09:01:57.131556][807.787549781], took 0.13min 2025-12-04T09:01:57.1328447Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-af3536f7629fe8c0.xml 2025-12-04T09:01:57.1930364Z Running test_overrides 1/1 ... [2025-12-04 09:01:57.192702][807.848694634] 2025-12-04T09:01:57.1931252Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:01:57.1932740Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:01:57.193013] 2025-12-04T09:02:43.5806167Z 2025-12-04T09:02:43.5807495Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_5340a5238433cff5_.log 2025-12-04T09:02:43.5947964Z 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 2025-12-04T09:02:43.6098444Z 2025-12-04T09:02:43.6098732Z Finished test_overrides 1/1 ... [2025-12-04 09:02:43.580798][854.236786573], took 0.77min 2025-12-04T09:02:43.6099713Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-be08ecdb8ca25fb5.xml 2025-12-04T09:02:43.6760015Z Running test_reductions 2/2 ... [2025-12-04 09:02:43.675744][854.331737707] 2025-12-04T09:02:43.6760754Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:02:43.6763642Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_reductions.py', '--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 09:02:43.676047] 2025-12-04T09:02:54.1199904Z 2025-12-04T09:02:54.1200813Z test_reductions 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_2.2_486d53fac0082a19_.log 2025-12-04T09:02:54.1201547Z Running 0 items in this shard: 2025-12-04T09:02:54.1201753Z 2025-12-04T09:02:54.1202013Z Finished test_reductions 2/2 ... [2025-12-04 09:02:54.119820][864.775812852], took 0.17min 2025-12-04T09:02:54.1213236Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-70b4316e41df2437.xml 2025-12-04T09:02:54.1829205Z Running doctests 1/1 ... [2025-12-04 09:02:54.182680][864.838674959] 2025-12-04T09:02:54.5672276Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=368. 2025-12-04T09:02:54.5674109Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:02:54.5675324Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:02:54.5676081Z 2025-12-04T09:02:54.5676502Z This function only works for a library with global namespace ("_"). 2025-12-04T09:02:54.5677164Z 2025-12-04T09:02:54.5677393Z Args: 2025-12-04T09:02:54.5678174Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:02:54.5679379Z to register a fallthrough. 2025-12-04T09:02:54.5680463Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:02:54.5681634Z the dispatch key that the library was created with. 2025-12-04T09:02:54.5682901Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:02:54.5684548Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:02:54.5685469Z 2025-12-04T09:02:54.5685658Z Example:: 2025-12-04T09:02:54.5685919Z 2025-12-04T09:02:54.5686129Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:02:54.5686784Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:02:54.5687466Z >>> # Handle all autocast ops generically 2025-12-04T09:02:54.5688056Z >>> # ... 2025-12-04T09:02:54.5688618Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:02:54.5689260Z 2025-12-04T09:02:54.5690728Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:02:54.5692231Z 2025-12-04T09:02:54.5692489Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:02:54.5693091Z ^ 2025-12-04T09:02:54.5801414Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=958. 2025-12-04T09:02:54.5803090Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:02:54.5804178Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:02:54.5804860Z 2025-12-04T09:02:54.5805205Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:02:54.5805728Z 2025-12-04T09:02:54.5806189Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:02:54.5807337Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:02:54.5808445Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:02:54.5809383Z what the properties of the output Tensors are. 2025-12-04T09:02:54.5809880Z 2025-12-04T09:02:54.5810314Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:02:54.5811377Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:02:54.5812409Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:02:54.5813424Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:02:54.5814421Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:02:54.5815483Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:02:54.5816495Z (and may not directly access the storage or data of any input or 2025-12-04T09:02:54.5817273Z intermediate Tensors). 2025-12-04T09:02:54.5817609Z 2025-12-04T09:02:54.5817876Z This API may be used as a decorator (see examples). 2025-12-04T09:02:54.5818368Z 2025-12-04T09:02:54.5818628Z For a detailed guide on custom ops, please see 2025-12-04T09:02:54.5819762Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:02:54.5820450Z 2025-12-04T09:02:54.5820590Z Args: 2025-12-04T09:02:54.5821216Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:02:54.5822074Z func: Fake tensor implementation. 2025-12-04T09:02:54.5822846Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:02:54.5823790Z allow_override: Flag controlling if we want to override an 2025-12-04T09:02:54.5824686Z existing registered fake impl. This is by default off, 2025-12-04T09:02:54.5825676Z and will error you're trying to register a fake impl to 2025-12-04T09:02:54.5826547Z an operator that already has a fake impl. This also only 2025-12-04T09:02:54.5827413Z applies if the custom operator was not created via 2025-12-04T09:02:54.5828303Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:02:54.5829076Z impl is already allowed. 2025-12-04T09:02:54.5829512Z 2025-12-04T09:02:54.5829660Z Examples: 2025-12-04T09:02:54.5830054Z >>> import torch 2025-12-04T09:02:54.5830515Z >>> import numpy as np 2025-12-04T09:02:54.5831039Z >>> from torch import Tensor 2025-12-04T09:02:54.5831568Z >>> 2025-12-04T09:02:54.5832112Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:02:54.5833116Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:02:54.5834173Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:02:54.5835167Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:02:54.5835858Z >>> 2025-12-04T09:02:54.5836371Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:02:54.5837082Z >>> def _(x, weight, bias): 2025-12-04T09:02:54.5837695Z >>> assert x.dim() == 2 2025-12-04T09:02:54.5838256Z >>> assert weight.dim() == 2 2025-12-04T09:02:54.5838845Z >>> assert bias.dim() == 1 2025-12-04T09:02:54.5839440Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:02:54.5840316Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:02:54.5840985Z >>> assert x.device == weight.device 2025-12-04T09:02:54.5841565Z >>> 2025-12-04T09:02:54.5841963Z >>> return (x @ weight.t()) + bias 2025-12-04T09:02:54.5842518Z >>> 2025-12-04T09:02:54.5842984Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:02:54.5843681Z >>> x = torch.randn(2, 3) 2025-12-04T09:02:54.5844226Z >>> w = torch.randn(3, 3) 2025-12-04T09:02:54.5844756Z >>> b = torch.randn(3) 2025-12-04T09:02:54.5845329Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:02:54.5845945Z >>> 2025-12-04T09:02:54.5846319Z >>> assert y.shape == (2, 3) 2025-12-04T09:02:54.5846830Z >>> 2025-12-04T09:02:54.5847358Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:02:54.5848301Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:02:54.5849122Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:02:54.5849754Z >>> x_np = x.numpy(force=True) 2025-12-04T09:02:54.5850393Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:02:54.5851094Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:02:54.5851701Z >>> 2025-12-04T09:02:54.5852242Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:02:54.5852932Z >>> def _(x): 2025-12-04T09:02:54.5853456Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:02:54.5854431Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:02:54.5855231Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:02:54.5855975Z >>> # represents the data-dependent size. 2025-12-04T09:02:54.5856612Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:02:54.5857229Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:02:54.5857837Z >>> shape = [nnz, x.dim()] 2025-12-04T09:02:54.5858495Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:02:54.5859163Z >>> return result 2025-12-04T09:02:54.5859624Z >>> 2025-12-04T09:02:54.5860166Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:02:54.5861043Z >>> 2025-12-04T09:02:54.5861436Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:02:54.5862309Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:02:54.5863210Z >>> trace.print_readable() 2025-12-04T09:02:54.5863714Z >>> 2025-12-04T09:02:54.5864311Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:02:54.5864963Z 2025-12-04T09:02:54.5865101Z 2025-12-04T09:02:54.5866264Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:02:54.5867500Z 2025-12-04T09:02:54.5867648Z _._ = None 2025-12-04T09:02:54.5868013Z ^ 2025-12-04T09:02:54.5947636Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=1530. 2025-12-04T09:02:54.5949264Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:02:54.5950289Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:02:54.5950912Z 2025-12-04T09:02:54.5951324Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:02:54.5952440Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:02:54.5953471Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:02:54.5954467Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:02:54.5955526Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:02:54.5956476Z that calls into the original kernel for certain cases. 2025-12-04T09:02:54.5957000Z 2025-12-04T09:02:54.5957140Z Args: 2025-12-04T09:02:54.5957796Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:02:54.5958820Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:02:54.5959957Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:02:54.5961040Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:02:54.5961642Z 2025-12-04T09:02:54.5961786Z Returns: 2025-12-04T09:02:54.5962467Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:02:54.5963319Z call the kernel. 2025-12-04T09:02:54.5963657Z 2025-12-04T09:02:54.5963800Z Raises: 2025-12-04T09:02:54.5964272Z RuntimeError: If the operator does not exist. 2025-12-04T09:02:54.5964759Z 2025-12-04T09:02:54.5964905Z Example: 2025-12-04T09:02:54.5965336Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:02:54.5966125Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:02:54.5966859Z >>> 2025-12-04T09:02:54.5967262Z >>> # You can also use DispatchKey enum 2025-12-04T09:02:54.5968176Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:02:54.5969046Z >>> 2025-12-04T09:02:54.5969440Z >>> # Or use an OpOverload directly 2025-12-04T09:02:54.5970483Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:02:54.5971302Z >>> 2025-12-04T09:02:54.5971900Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:02:54.5972758Z >>> # Get the original kernel for torch.sin 2025-12-04T09:02:54.5973624Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:02:54.5974413Z >>> 2025-12-04T09:02:54.5975039Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:02:54.5975960Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:02:54.5976598Z >>> if (x < 0).any(): 2025-12-04T09:02:54.5977271Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:02:54.5978125Z >>> else: 2025-12-04T09:02:54.5978600Z >>> return torch.zeros_like(x) 2025-12-04T09:02:54.5979172Z >>> 2025-12-04T09:02:54.5979610Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:02:54.5980573Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:02:54.5981680Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:02:54.5982599Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:02:54.5983346Z >>> 2025-12-04T09:02:54.5983761Z >>> # Test the conditional behavior 2025-12-04T09:02:54.5984367Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:02:54.5984938Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:02:54.5985518Z >>> torch.sin(x_positive) 2025-12-04T09:02:54.5986022Z tensor([0., 0.]) 2025-12-04T09:02:54.5986469Z >>> torch.sin(x_mixed) 2025-12-04T09:02:54.5986957Z tensor([-0.8415, 0.9093]) 2025-12-04T09:02:54.5987446Z 2025-12-04T09:02:54.5988491Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:02:54.5989678Z 2025-12-04T09:02:54.5990016Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:02:54.5990735Z ^ 2025-12-04T09:02:54.7401152Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T09:02:54.7402074Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:02:54.7402690Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:02:54.7403285Z required drivers are available and at least one device is visible. 2025-12-04T09:02:54.7403785Z See :ref:`accelerator` for details. 2025-12-04T09:02:54.7404047Z 2025-12-04T09:02:54.7404144Z Returns: 2025-12-04T09:02:54.7404539Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:02:54.7404950Z 2025-12-04T09:02:54.7405218Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:02:54.7405840Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:02:54.7406459Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:02:54.7406974Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:02:54.7407239Z 2025-12-04T09:02:54.7407327Z Example:: 2025-12-04T09:02:54.7407454Z 2025-12-04T09:02:54.7416064Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:02:54.7416643Z 2025-12-04T09:02:54.7417335Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:02:54.7418031Z 2025-12-04T09:02:54.7418307Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:02:54.7418782Z ^ 2025-12-04T09:02:54.7427682Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:02:54.7428601Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:02:54.7429180Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:02:54.7429501Z 2025-12-04T09:02:54.7429597Z Args: 2025-12-04T09:02:54.7430028Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:02:54.7430703Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:02:54.7431346Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:02:54.7431656Z 2025-12-04T09:02:54.7431980Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:02:54.7432420Z 2025-12-04T09:02:54.7432514Z Example:: 2025-12-04T09:02:54.7432657Z 2025-12-04T09:02:54.7432792Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:02:54.7433320Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:02:54.7433843Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:02:54.7434234Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:02:54.7434587Z >>> start_event.record() 2025-12-04T09:02:54.7435004Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:02:54.7435476Z >>> sum = torch.sum(tensor) 2025-12-04T09:02:54.7435791Z >>> end_event.record() 2025-12-04T09:02:54.7436100Z >>> torch.accelerator.synchronize() 2025-12-04T09:02:54.7436487Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:02:54.7436850Z 2025-12-04T09:02:54.7437608Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:02:54.7438284Z 2025-12-04T09:02:54.7438542Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:02:54.7439018Z ^ 2025-12-04T09:02:54.7660469Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:02:54.7661682Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:02:54.7662157Z Retrieves the CUDA runtime API module. 2025-12-04T09:02:54.7662388Z 2025-12-04T09:02:54.7662404Z 2025-12-04T09:02:54.7662653Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:02:54.7663258Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:02:54.7663834Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:02:54.7664182Z 2025-12-04T09:02:54.7664264Z Args: 2025-12-04T09:02:54.7664471Z ``None`` 2025-12-04T09:02:54.7664606Z 2025-12-04T09:02:54.7664702Z Returns: 2025-12-04T09:02:54.7664958Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:02:54.7665223Z 2025-12-04T09:02:54.7665320Z Raises: 2025-12-04T09:02:54.7665673Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:02:54.7666386Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:02:54.7666864Z 2025-12-04T09:02:54.7667005Z Example of CUDA operations with profiling: 2025-12-04T09:02:54.7667338Z >>> import torch 2025-12-04T09:02:54.7667635Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:02:54.7667972Z >>> import os 2025-12-04T09:02:54.7668194Z >>> 2025-12-04T09:02:54.7668429Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:02:54.7668879Z >>> 2025-12-04T09:02:54.7669142Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:02:54.7669497Z >>> stream = torch.cuda.Stream() 2025-12-04T09:02:54.7669846Z >>> with torch.cuda.stream(stream): 2025-12-04T09:02:54.7670207Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:02:54.7670561Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:02:54.7670911Z >>> z = torch.mul(x, y) 2025-12-04T09:02:54.7671210Z >>> return z 2025-12-04T09:02:54.7671439Z >>> 2025-12-04T09:02:54.7671668Z >>> torch.cuda.synchronize() 2025-12-04T09:02:54.7672001Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:02:54.7672468Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:02:54.7672855Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:02:54.7673257Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:02:54.7673655Z >>> print("CUDA operations completed.") 2025-12-04T09:02:54.7674045Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:02:54.7674448Z >>> print("====== End nsys profiling ======") 2025-12-04T09:02:54.7674680Z 2025-12-04T09:02:54.7674889Z To run this example and save the profiling information, execute: 2025-12-04T09:02:54.7675561Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:02:54.7676043Z 2025-12-04T09:02:54.7676290Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:02:54.7676855Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:02:54.7677503Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:02:54.7677996Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:02:54.7678484Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:02:54.7678957Z CSV file and print a summary, respectively. 2025-12-04T09:02:54.7679436Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:02:54.7679955Z overwrite of the output file if it already exists. 2025-12-04T09:02:54.7680300Z 2025-12-04T09:02:54.7681064Z 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)) 2025-12-04T09:02:54.7681826Z 2025-12-04T09:02:54.7682172Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:02:54.7682728Z ^ 2025-12-04T09:02:55.6009577Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:02:55.6010582Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:02:55.6010950Z 2025-12-04T09:02:55.6011195Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:02:55.6011733Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:02:55.6012270Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:02:55.6012720Z vectorizing those operations. 2025-12-04T09:02:55.6012911Z 2025-12-04T09:02:55.6013120Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:02:55.6013654Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:02:55.6014185Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:02:55.6014683Z compute batched gradients when composed with autograd. 2025-12-04T09:02:55.6014975Z 2025-12-04T09:02:55.6015088Z .. note:: 2025-12-04T09:02:55.6015393Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:02:55.6015822Z convenience. Use whichever one you'd like. 2025-12-04T09:02:55.6016292Z 2025-12-04T09:02:55.6016374Z Args: 2025-12-04T09:02:55.6016712Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:02:55.6017158Z Must return one or more Tensors. 2025-12-04T09:02:55.6017571Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:02:55.6018070Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:02:55.6018558Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:02:55.6019057Z input is None, then that indicates there is no map dimension. 2025-12-04T09:02:55.6019440Z Default: 0. 2025-12-04T09:02:55.6019879Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:02:55.6020387Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:02:55.6020839Z it should have one element per output. Default: 0. 2025-12-04T09:02:55.6021298Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:02:55.6021806Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:02:55.6022327Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:02:55.6022858Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:02:55.6023401Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:02:55.6023936Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:02:55.6024380Z Python's random module or numpy randomness. 2025-12-04T09:02:55.6024854Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:02:55.6025419Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:02:55.6026005Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:02:55.6026654Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:02:55.6027049Z 2025-12-04T09:02:55.6027131Z Returns: 2025-12-04T09:02:55.6027435Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:02:55.6027904Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:02:55.6028394Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:02:55.6028881Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:02:55.6029273Z specified by ``out_dims``. 2025-12-04T09:02:55.6029468Z 2025-12-04T09:02:55.6029549Z .. warning: 2025-12-04T09:02:55.6029870Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:02:55.6030372Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:02:55.6030899Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:02:55.6031485Z Python data structures and assigning values to variables not captured 2025-12-04T09:02:55.6031916Z in ``func``. 2025-12-04T09:02:55.6032052Z 2025-12-04T09:02:55.6032283Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:02:55.6032858Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:02:55.6033420Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:02:55.6033760Z 2025-12-04T09:02:55.6033890Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:02:55.6034284Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:02:55.6034731Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:02:55.6035074Z >>> batched_dot(x, y) 2025-12-04T09:02:55.6035238Z 2025-12-04T09:02:55.6035463Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:02:55.6035968Z model authoring experience. 2025-12-04T09:02:55.6036239Z 2025-12-04T09:02:55.6036395Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:02:55.6037023Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:02:55.6037505Z >>> 2025-12-04T09:02:55.6037793Z >>> def model(feature_vec): 2025-12-04T09:02:55.6038115Z >>> # Very simple linear model with activation 2025-12-04T09:02:55.6038474Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:02:55.6038804Z >>> 2025-12-04T09:02:55.6039073Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:02:55.6039443Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:02:55.6039681Z 2025-12-04T09:02:55.6039928Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:02:55.6040857Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:02:55.6041442Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:02:55.6042007Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:02:55.6042606Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:02:55.6043208Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:02:55.6043653Z call to ``autograd.grad``. 2025-12-04T09:02:55.6043838Z 2025-12-04T09:02:55.6043921Z >>> # Setup 2025-12-04T09:02:55.6044139Z >>> N = 5 2025-12-04T09:02:55.6044359Z >>> f = lambda x: x**2 2025-12-04T09:02:55.6044637Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:02:55.6044956Z >>> y = f(x) 2025-12-04T09:02:55.6045185Z >>> I_N = torch.eye(N) 2025-12-04T09:02:55.6045425Z >>> 2025-12-04T09:02:55.6045643Z >>> # Sequential approach 2025-12-04T09:02:55.6046046Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:02:55.6046479Z >>> for v in I_N.unbind()] 2025-12-04T09:02:55.6046818Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:02:55.6047126Z >>> 2025-12-04T09:02:55.6047345Z >>> # vectorized gradient computation 2025-12-04T09:02:55.6047660Z >>> def get_vjp(v): 2025-12-04T09:02:55.6047940Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:02:55.6048294Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:02:55.6048515Z 2025-12-04T09:02:55.6048777Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:02:55.6049172Z 2025-12-04T09:02:55.6049270Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:02:55.6049581Z >>> batched_dot = torch.vmap( 2025-12-04T09:02:55.6049870Z ... torch.vmap(torch.dot) 2025-12-04T09:02:55.6050180Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:02:55.6050547Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:02:55.6050909Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:02:55.6051155Z 2025-12-04T09:02:55.6051393Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:02:55.6051912Z the dimension that each inputs are batched along as 2025-12-04T09:02:55.6052174Z 2025-12-04T09:02:55.6052288Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:02:55.6052698Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:02:55.6053162Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:02:55.6053491Z >>> batched_dot( 2025-12-04T09:02:55.6053714Z ... x, y 2025-12-04T09:02:55.6054042Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:02:55.6054359Z 2025-12-04T09:02:55.6054616Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:02:55.6055206Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:02:55.6055519Z 2025-12-04T09:02:55.6055617Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:02:55.6056059Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:02:55.6056727Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:02:55.6057062Z >>> batched_dot( 2025-12-04T09:02:55.6057287Z ... x, y 2025-12-04T09:02:55.6057618Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:02:55.6057927Z 2025-12-04T09:02:55.6058175Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:02:55.6058633Z matching the shape of the input: 2025-12-04T09:02:55.6058847Z 2025-12-04T09:02:55.6058985Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:02:55.6059356Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:02:55.6059670Z >>> input = {"x": x, "y": y} 2025-12-04T09:02:55.6060116Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:02:55.6060505Z >>> batched_dot(input) 2025-12-04T09:02:55.6060675Z 2025-12-04T09:02:55.6060959Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:02:55.6061467Z along any dimension by using ``out_dims`` 2025-12-04T09:02:55.6061705Z 2025-12-04T09:02:55.6061795Z >>> f = lambda x: x**2 2025-12-04T09:02:55.6062061Z >>> x = torch.randn(2, 5) 2025-12-04T09:02:55.6062352Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:02:55.6062691Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:02:55.6062875Z 2025-12-04T09:02:55.6063175Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:02:55.6063677Z accept kwargs 2025-12-04T09:02:55.6063807Z 2025-12-04T09:02:55.6063903Z >>> x = torch.randn([2, 5]) 2025-12-04T09:02:55.6064181Z >>> def fn(x, scale=4.): 2025-12-04T09:02:55.6064450Z >>> return x * scale 2025-12-04T09:02:55.6064691Z >>> 2025-12-04T09:02:55.6064911Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:02:55.6065260Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:02:55.6065722Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:02:55.6066078Z 2025-12-04T09:02:55.6066176Z .. note:: 2025-12-04T09:02:55.6066517Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:02:55.6066956Z sequences out of the box. 2025-12-04T09:02:55.6067140Z 2025-12-04T09:02:55.6067665Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:02:55.6068313Z 2025-12-04T09:02:55.6068394Z _._ = None 2025-12-04T09:02:55.6068596Z ^ 2025-12-04T09:02:55.6069221Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:02:55.6070046Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:02:55.6070654Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:02:55.6071214Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:02:55.6071647Z compute higher-order gradients. 2025-12-04T09:02:55.6071854Z 2025-12-04T09:02:55.6071955Z Args: 2025-12-04T09:02:55.6072272Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:02:55.6072866Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:02:55.6073513Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:02:55.6073997Z ``(output, aux)``. 2025-12-04T09:02:55.6074445Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:02:55.6075052Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:02:55.6075599Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:02:55.6076094Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:02:55.6076383Z 2025-12-04T09:02:55.6076463Z Returns: 2025-12-04T09:02:55.6076949Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:02:55.6077678Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:02:55.6078294Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:02:55.6078942Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:02:55.6079456Z respect to each ``argnums`` value is returned. 2025-12-04T09:02:55.6079704Z 2025-12-04T09:02:55.6079816Z Example of using ``grad``: 2025-12-04T09:02:55.6079999Z 2025-12-04T09:02:55.6080161Z >>> # xdoctest: +SKIP 2025-12-04T09:02:55.6080454Z >>> from torch.func import grad 2025-12-04T09:02:55.6080769Z >>> x = torch.randn([]) 2025-12-04T09:02:55.6081066Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:02:55.6081436Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:02:55.6081761Z >>> 2025-12-04T09:02:55.6081975Z >>> # Second-order gradients 2025-12-04T09:02:55.6082328Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:02:55.6082734Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:02:55.6082974Z 2025-12-04T09:02:55.6083232Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:02:55.6083599Z 2025-12-04T09:02:55.6083692Z >>> # xdoctest: +SKIP 2025-12-04T09:02:55.6083992Z >>> from torch.func import grad, vmap 2025-12-04T09:02:55.6084335Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:02:55.6084630Z >>> 2025-12-04T09:02:55.6084866Z >>> def model(weights, feature_vec): 2025-12-04T09:02:55.6085223Z >>> # Very simple linear model with activation 2025-12-04T09:02:55.6085563Z >>> assert feature_vec.dim() == 1 2025-12-04T09:02:55.6085917Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:02:55.6086235Z >>> 2025-12-04T09:02:55.6086494Z >>> def compute_loss(weights, example, target): 2025-12-04T09:02:55.6086837Z >>> y = model(weights, example) 2025-12-04T09:02:55.6087191Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:02:55.6087524Z >>> 2025-12-04T09:02:55.6087808Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:02:55.6088248Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:02:55.6088627Z >>> targets = torch.randn(batch_size) 2025-12-04T09:02:55.6088969Z >>> inputs = (weights, examples, targets) 2025-12-04T09:02:55.6089437Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:02:55.6089878Z ... *inputs 2025-12-04T09:02:55.6090112Z ... ) 2025-12-04T09:02:55.6090233Z 2025-12-04T09:02:55.6090405Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:02:55.6090707Z 2025-12-04T09:02:55.6090801Z >>> # xdoctest: +SKIP 2025-12-04T09:02:55.6091090Z >>> from torch.func import grad 2025-12-04T09:02:55.6091401Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:02:55.6091745Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:02:55.6092102Z >>> loss = loss_per_sample.mean() 2025-12-04T09:02:55.6092441Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:02:55.6092761Z >>> 2025-12-04T09:02:55.6093030Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:02:55.6093398Z >>> y_true = torch.rand(4) 2025-12-04T09:02:55.6093720Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:02:55.6094072Z >>> out = fn(y_true, y_preds) 2025-12-04T09:02:55.6094522Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:02:55.6094881Z 2025-12-04T09:02:55.6094970Z .. note:: 2025-12-04T09:02:55.6095345Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:02:55.6095641Z 2025-12-04T09:02:55.6095785Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:02:55.6096041Z 2025-12-04T09:02:55.6096150Z >>> # xdoctest: +SKIP 2025-12-04T09:02:55.6096423Z >>> def f(x): 2025-12-04T09:02:55.6096694Z >>> with torch.no_grad(): 2025-12-04T09:02:55.6097005Z >>> c = x ** 2 2025-12-04T09:02:55.6097285Z >>> return x - c 2025-12-04T09:02:55.6097481Z 2025-12-04T09:02:55.6097674Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:02:55.6098058Z 2025-12-04T09:02:55.6098238Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:02:55.6098538Z 2025-12-04T09:02:55.6098650Z >>> # xdoctest: +SKIP 2025-12-04T09:02:55.6098936Z >>> with torch.no_grad(): 2025-12-04T09:02:55.6099238Z >>> grad(f)(x) 2025-12-04T09:02:55.6099410Z 2025-12-04T09:02:55.6099641Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:02:55.6100196Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:02:55.6100764Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:02:55.6101113Z 2025-12-04T09:02:55.6101191Z 2025-12-04T09:02:55.6101827Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:02:55.6102459Z 2025-12-04T09:02:55.6102537Z _._ = None 2025-12-04T09:02:55.6102741Z ^ 2025-12-04T09:02:57.2794404Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T09:02:57.2795410Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:02:57.2795983Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:02:57.2796283Z 2025-12-04T09:02:57.2796551Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:02:57.2796932Z 2025-12-04T09:02:57.2797155Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:02:57.2797800Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:02:57.2798303Z Given some input Tensors with certain properties 2025-12-04T09:02:57.2798813Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:02:57.2799300Z the output Tensors are. 2025-12-04T09:02:57.2799502Z 2025-12-04T09:02:57.2799718Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:02:57.2800039Z 2025-12-04T09:02:57.2800134Z Args: 2025-12-04T09:02:57.2800431Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:02:57.2800829Z implementation. 2025-12-04T09:02:57.2801010Z 2025-12-04T09:02:57.2801107Z Examples: 2025-12-04T09:02:57.2801331Z >>> import torch 2025-12-04T09:02:57.2801610Z >>> import numpy as np 2025-12-04T09:02:57.2801914Z >>> from torch import Tensor 2025-12-04T09:02:57.2802200Z >>> 2025-12-04T09:02:57.2802527Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:02:57.2803056Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:02:57.2803563Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:02:57.2803985Z >>> return (x @ weight.t()) + bias 2025-12-04T09:02:57.2804304Z >>> 2025-12-04T09:02:57.2804543Z >>> @linear.register_fake 2025-12-04T09:02:57.2804841Z >>> def _(x, weight, bias): 2025-12-04T09:02:57.2805152Z >>> assert x.dim() == 2 2025-12-04T09:02:57.2805714Z >>> assert weight.dim() == 2 2025-12-04T09:02:57.2806032Z >>> assert bias.dim() == 1 2025-12-04T09:02:57.2806377Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:02:57.2806749Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:02:57.2807121Z >>> assert x.device == weight.device 2025-12-04T09:02:57.2807495Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:02:57.2807847Z >>> 2025-12-04T09:02:57.2808089Z >>> x = torch.randn(2, 2) 2025-12-04T09:02:57.2808396Z >>> weight = torch.randn(2, 2) 2025-12-04T09:02:57.2808817Z >>> bias = torch.randn(2) 2025-12-04T09:02:57.2809160Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:02:57.2809591Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:02:57.2810044Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:02:57.2810549Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:02:57.2811007Z >>> 2025-12-04T09:02:57.2811305Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:02:57.2811801Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:02:57.2812231Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:02:57.2812551Z >>> x_np = x.cpu().numpy() 2025-12-04T09:02:57.2812898Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:02:57.2813283Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:02:57.2813612Z >>> 2025-12-04T09:02:57.2813851Z >>> @nonzero.register_fake 2025-12-04T09:02:57.2814152Z >>> def _(x): 2025-12-04T09:02:57.2814464Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:02:57.2814883Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:02:57.2815324Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:02:57.2815730Z >>> # represents the data-dependent size. 2025-12-04T09:02:57.2816077Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:02:57.2816421Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:02:57.2816750Z >>> shape = [nnz, x.dim()] 2025-12-04T09:02:57.2817100Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:02:57.2817462Z >>> return result 2025-12-04T09:02:57.2817733Z >>> 2025-12-04T09:02:57.2817984Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:02:57.2818353Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:02:57.2818753Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:02:57.2819146Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:02:57.2819537Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:02:57.2819791Z 2025-12-04T09:02:57.2819872Z 2025-12-04T09:02:57.2820524Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:02:57.2821172Z 2025-12-04T09:02:57.2821253Z _._ = None 2025-12-04T09:02:57.2821461Z ^ 2025-12-04T09:02:57.2969402Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T09:02:57.2970397Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:02:57.2970799Z 2025-12-04T09:02:57.2971027Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:02:57.2971631Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:02:57.2971996Z 2025-12-04T09:02:57.2972447Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:02:57.2973019Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:02:57.2973562Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:02:57.2974120Z information we will match a given input to the recorded profile, and return 2025-12-04T09:02:57.2974710Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:02:57.2975182Z doesn't exist then an exception will be thrown. 2025-12-04T09:02:57.2975447Z 2025-12-04T09:02:57.2975690Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:02:57.2976372Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:02:57.2976968Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:02:57.2977578Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:02:57.2978198Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:02:57.2978781Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:02:57.2979334Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:02:57.2979750Z potentially unsafe. 2025-12-04T09:02:57.2979906Z 2025-12-04T09:02:57.2979984Z Args: 2025-12-04T09:02:57.2980313Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:02:57.2980836Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:02:57.2981238Z kernels. 2025-12-04T09:02:57.2981384Z 2025-12-04T09:02:57.2981471Z Examples: 2025-12-04T09:02:57.2981588Z 2025-12-04T09:02:57.2981766Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:02:57.2982123Z >>> import torch 2025-12-04T09:02:57.2982441Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:02:57.2982797Z >>> 2025-12-04T09:02:57.2983103Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:02:57.2983523Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:02:57.2983849Z >>> return x + y 2025-12-04T09:02:57.2984081Z >>> 2025-12-04T09:02:57.2984303Z >>> class M(torch.nn.Module): 2025-12-04T09:02:57.2984604Z >>> def forward(self, a, b): 2025-12-04T09:02:57.2984940Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:02:57.2985293Z >>> return res 2025-12-04T09:02:57.2985540Z >>> 2025-12-04T09:02:57.2985823Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:02:57.2986178Z >>> 2025-12-04T09:02:57.2986591Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:02:57.2987131Z >>> decomp = ep.run_decompositions() 2025-12-04T09:02:57.2987356Z 2025-12-04T09:02:57.2987360Z 2025-12-04T09:02:57.2987841Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:02:57.2988451Z 2025-12-04T09:02:57.7041096Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T09:02:57.7042314Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:02:57.7042693Z 2025-12-04T09:02:57.7042954Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:02:57.7043563Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:02:57.7044168Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:02:57.7044627Z input by the user. 2025-12-04T09:02:57.7044998Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:02:57.7045687Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:02:57.7045956Z 2025-12-04T09:02:57.7046060Z Note:: 2025-12-04T09:02:57.7046498Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:02:57.7046936Z 2025-12-04T09:02:57.7047031Z Args: 2025-12-04T09:02:57.7047231Z model (nn.Module): 2025-12-04T09:02:57.7047616Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:02:57.7048203Z sparsified should be added separately using the register_layer() function 2025-12-04T09:02:57.7048669Z aggregate_fn (Optional, Callable): 2025-12-04T09:02:57.7049140Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:02:57.7049790Z specifies how inputs should be aggregated over time. 2025-12-04T09:02:57.7050357Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:02:57.7050836Z Example 2025-12-04T09:02:57.7051154Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:02:57.7051566Z reduce_fn (Optional, Callable): 2025-12-04T09:02:57.7052025Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:02:57.7052646Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:02:57.7053135Z calling agg_fn() on all inputs. 2025-12-04T09:02:57.7053449Z Example 2025-12-04T09:02:57.7053785Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:02:57.7054211Z mask_fn (Optional, Callable): 2025-12-04T09:02:57.7054743Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:02:57.7055413Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:02:57.7055882Z register_layer(). 2025-12-04T09:02:57.7056428Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:02:57.7056987Z arguments. 2025-12-04T09:02:57.7057250Z features (Optional, list): 2025-12-04T09:02:57.7057592Z default selected features to sparsify. 2025-12-04T09:02:57.7058119Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:02:57.7058598Z For example, 2025-12-04T09:02:57.7059019Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:02:57.7059506Z feature_dim (Optional, int): 2025-12-04T09:02:57.7059999Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:02:57.7060487Z for sparsification. 2025-12-04T09:02:57.7060790Z sparse_config (Dict): 2025-12-04T09:02:57.7061206Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:02:57.7061641Z with the mask_fn() 2025-12-04T09:02:57.7061830Z 2025-12-04T09:02:57.7061910Z Example: 2025-12-04T09:02:57.7062123Z >>> # xdoctest: +SKIP 2025-12-04T09:02:57.7062385Z >>> model = SomeModel() 2025-12-04T09:02:57.7062790Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:02:57.7063258Z >>> # Initialize aggregate_fn 2025-12-04T09:02:57.7063551Z >>> def agg_fn(x, y): 2025-12-04T09:02:57.7063793Z >>> return x + y 2025-12-04T09:02:57.7064040Z >>> 2025-12-04T09:02:57.7064255Z >>> # Initialize reduce_fn 2025-12-04T09:02:57.7064524Z >>> def reduce_fn(x): 2025-12-04T09:02:57.7064794Z >>> return torch.mean(x, dim=0) 2025-12-04T09:02:57.7065093Z >>> 2025-12-04T09:02:57.7065290Z >>> # Initialize mask_fn 2025-12-04T09:02:57.7065562Z >>> def mask_fn(data): 2025-12-04T09:02:57.7065948Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:02:57.7066290Z >>> 2025-12-04T09:02:57.7066475Z >>> 2025-12-04T09:02:57.7066707Z >>> act_sparsifier.register_layer( 2025-12-04T09:02:57.7067029Z ... model.some_layer, 2025-12-04T09:02:57.7067302Z ... aggregate_fn=agg_fn, 2025-12-04T09:02:57.7067593Z ... reduce_fn=reduce_fn, 2025-12-04T09:02:57.7067876Z ... mask_fn=mask_fn, 2025-12-04T09:02:57.7068118Z ... ) 2025-12-04T09:02:57.7068315Z >>> 2025-12-04T09:02:57.7068530Z >>> # start training process 2025-12-04T09:02:57.7068793Z >>> for _ in [...]: 2025-12-04T09:02:57.7069037Z >>> # epoch starts 2025-12-04T09:02:57.7069424Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:02:57.7069784Z >>> # epoch ends 2025-12-04T09:02:57.7070034Z >>> act_sparsifier.step() 2025-12-04T09:02:57.7070328Z >>> # end training process 2025-12-04T09:02:57.7070603Z >>> sparsifier.squash_mask() 2025-12-04T09:02:57.7070804Z 2025-12-04T09:02:57.7071314Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:02:57.7071939Z 2025-12-04T09:02:57.7072018Z _._ = None 2025-12-04T09:02:57.7072219Z ^ 2025-12-04T09:02:58.2071697Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T09:02:58.2072678Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:02:58.2073045Z 2025-12-04T09:02:58.2073325Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:02:58.2073998Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:02:58.2074478Z ``mesh_dim_names`` 2025-12-04T09:02:58.2074619Z 2025-12-04T09:02:58.2074709Z Args: 2025-12-04T09:02:58.2075059Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:02:58.2075608Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:02:58.2075992Z Returns: 2025-12-04T09:02:58.2076202Z A :class:`DeviceMesh` object 2025-12-04T09:02:58.2076405Z 2025-12-04T09:02:58.2076686Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:02:58.2077186Z In the first example: 2025-12-04T09:02:58.2077673Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:02:58.2078280Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:02:58.2078874Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:02:58.2079442Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:02:58.2080010Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:02:58.2080568Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:02:58.2080921Z 2025-12-04T09:02:58.2081014Z In the second example: 2025-12-04T09:02:58.2081443Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:02:58.2082077Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:02:58.2082725Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:02:58.2083369Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:02:58.2083750Z 2025-12-04T09:02:58.2083886Z Example:: 2025-12-04T09:02:58.2084022Z 2025-12-04T09:02:58.2084137Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:02:58.2084504Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:02:58.2084875Z >>> 2025-12-04T09:02:58.2085378Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:02:58.2085831Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:02:58.2086341Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:02:58.2086823Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:02:58.2087103Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:02:58.2087372Z >>> 2025-12-04T09:02:58.2087586Z >>> # Initialize a 3D mesh. 2025-12-04T09:02:58.2088031Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:02:58.2088734Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:02:58.2089382Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:02:58.2089710Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:02:58.2089922Z 2025-12-04T09:02:58.2090607Z 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)) 2025-12-04T09:02:58.2091409Z 2025-12-04T09:02:58.2091650Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:02:58.2092138Z ^ 2025-12-04T09:02:58.4987624Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T09:02:58.4988607Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:02:58.4988991Z 2025-12-04T09:02:58.4989289Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:02:58.4989693Z 2025-12-04T09:02:58.4989985Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:02:58.4990410Z 2025-12-04T09:02:58.4990696Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:02:58.4991209Z will be visible to the whole process. 2025-12-04T09:02:58.4991421Z 2025-12-04T09:02:58.4991707Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:02:58.4992100Z 2025-12-04T09:02:58.4992218Z 1) set_up_planner - called on all ranks. 2025-12-04T09:02:58.4992563Z Signals the start of a checkpoint save. 2025-12-04T09:02:58.4992789Z 2025-12-04T09:02:58.4992918Z 2) create_local_plan - called on all ranks. 2025-12-04T09:02:58.4993421Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:02:58.4993846Z 2025-12-04T09:02:58.4994026Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:02:58.4994530Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:02:58.4994852Z 2025-12-04T09:02:58.4994960Z 4) finish_plan - called on all ranks. 2025-12-04T09:02:58.4995399Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:02:58.4995731Z 2025-12-04T09:02:58.4995882Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:02:58.4996353Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:02:58.4996684Z 2025-12-04T09:02:58.4996985Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:02:58.4997669Z most changes can be expressed by changes in a single method. 2025-12-04T09:02:58.4997961Z 2025-12-04T09:02:58.4998079Z There are 3 usual patterns of extension: 2025-12-04T09:02:58.4998329Z 2025-12-04T09:02:58.4998578Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:02:58.4999184Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:02:58.4999524Z 2025-12-04T09:02:58.4999648Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:02:58.5000200Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:02:58.5000550Z >>> def set_up_planner( 2025-12-04T09:02:58.5000817Z >>> self, 2025-12-04T09:02:58.5001052Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:02:58.5001394Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:02:58.5001737Z >>> is_coordinator: bool, 2025-12-04T09:02:58.5002008Z >>> ) -> None: 2025-12-04T09:02:58.5002255Z >>> # prefix all keys with `foo_`` 2025-12-04T09:02:58.5002751Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:02:58.5003153Z 2025-12-04T09:02:58.5003520Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:02:58.5004074Z 2025-12-04T09:02:58.5004194Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:02:58.5004522Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:02:58.5004930Z >>> def create_local_plan(self): 2025-12-04T09:02:58.5005400Z >>> plan = super().create_local_plan() 2025-12-04T09:02:58.5005770Z >>> for p in plan: 2025-12-04T09:02:58.5006064Z >>> if p.tensor_data is not None: 2025-12-04T09:02:58.5006624Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:02:58.5007055Z >>> return plan 2025-12-04T09:02:58.5007290Z >>> 2025-12-04T09:02:58.5007662Z >>> def resolve_data(self, write_item): 2025-12-04T09:02:58.5007999Z >>> item = super().resolve_data(write_item) 2025-12-04T09:02:58.5008523Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:02:58.5008924Z 2025-12-04T09:02:58.5009274Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:02:58.5009735Z 2025-12-04T09:02:58.5009855Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:02:58.5010173Z >>> from itertools import zip_longest 2025-12-04T09:02:58.5010505Z >>> from dataclasses import replace 2025-12-04T09:02:58.5010881Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:02:58.5011420Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:02:58.5011941Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:02:58.5012306Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:02:58.5012689Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:02:58.5013040Z >>> items_per_rank = [ 2025-12-04T09:02:58.5013358Z >>> [item for item in items if item is not None] 2025-12-04T09:02:58.5013759Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:02:58.5014106Z >>> ] 2025-12-04T09:02:58.5014328Z >>> all_plans = [ 2025-12-04T09:02:58.5014607Z >>> replace(plan, items=items) 2025-12-04T09:02:58.5015001Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:02:58.5015397Z >>> ] 2025-12-04T09:02:58.5015662Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:02:58.5015912Z 2025-12-04T09:02:58.5016188Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:02:58.5016832Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:02:58.5017338Z the global planner aggregate them: 2025-12-04T09:02:58.5017540Z 2025-12-04T09:02:58.5017659Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:02:58.5018019Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:02:58.5018413Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:02:58.5018772Z >>> plan = super().create_local_plan() 2025-12-04T09:02:58.5019163Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:02:58.5019506Z >>> 2025-12-04T09:02:58.5019914Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:02:58.5020626Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:02:58.5021089Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:02:58.5021532Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:02:58.5021929Z >>> return global_plan, metadata 2025-12-04T09:02:58.5022143Z 2025-12-04T09:02:58.5022688Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:02:58.5023327Z 2025-12-04T09:02:58.5023406Z _._ = None 2025-12-04T09:02:58.5023609Z ^ 2025-12-04T09:02:58.5024343Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T09:02:58.5025374Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:02:58.5025736Z 2025-12-04T09:02:58.5026032Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:02:58.5026434Z 2025-12-04T09:02:58.5026718Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:02:58.5027139Z 2025-12-04T09:02:58.5027412Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:02:58.5027924Z will be visible to the whole process. 2025-12-04T09:02:58.5028134Z 2025-12-04T09:02:58.5028416Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:02:58.5028811Z 2025-12-04T09:02:58.5028925Z 1) set_up_planner - called on all ranks. 2025-12-04T09:02:58.5029283Z Signals the start of loading a checkpoint. 2025-12-04T09:02:58.5029516Z 2025-12-04T09:02:58.5029645Z 2) create_local_plan - called on all ranks. 2025-12-04T09:02:58.5030147Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:02:58.5030568Z 2025-12-04T09:02:58.5030748Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:02:58.5031240Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:02:58.5031552Z 2025-12-04T09:02:58.5031705Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:02:58.5032118Z This is called once per non-tensor value in state_dict. 2025-12-04T09:02:58.5032405Z 2025-12-04T09:02:58.5032624Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:02:58.5033147Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:02:58.5033437Z 2025-12-04T09:02:58.5033749Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:02:58.5034348Z most changes can be expressed by changes in a single method. 2025-12-04T09:02:58.5034651Z 2025-12-04T09:02:58.5034775Z There are two usual patterns of extension: 2025-12-04T09:02:58.5035002Z 2025-12-04T09:02:58.5035266Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:02:58.5035893Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:02:58.5036482Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:02:58.5036949Z we need to be able to perform it in place 2025-12-04T09:02:58.5037173Z 2025-12-04T09:02:58.5037292Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:02:58.5037724Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:02:58.5038070Z >>> def set_up_planner( 2025-12-04T09:02:58.5038335Z >>> self, 2025-12-04T09:02:58.5038570Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:02:58.5038895Z >>> metadata: Metadata, 2025-12-04T09:02:58.5039186Z >>> is_coordinator: bool, 2025-12-04T09:02:58.5039455Z >>> ) -> None: 2025-12-04T09:02:58.5039719Z >>> self.original_state_dict = state_dict 2025-12-04T09:02:58.5040303Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:02:58.5040794Z >>> 2025-12-04T09:02:58.5041013Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:02:58.5041393Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:02:58.5041747Z >>> 2025-12-04T09:02:58.5041955Z >>> if self.flatten_state_dict: 2025-12-04T09:02:58.5042355Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:02:58.5042742Z >>> 2025-12-04T09:02:58.5042946Z >>> self.state_dict = state_dict 2025-12-04T09:02:58.5043266Z >>> self.metadata = metadata 2025-12-04T09:02:58.5043590Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:02:58.5043888Z >>> 2025-12-04T09:02:58.5044199Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:02:58.5044534Z >>> # Remove the "foo_" prefix 2025-12-04T09:02:58.5045040Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:02:58.5045474Z 2025-12-04T09:02:58.5045478Z 2025-12-04T09:02:58.5045739Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:02:58.5046130Z 2025-12-04T09:02:58.5046237Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:02:58.5046608Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:02:58.5046978Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:02:58.5047332Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:02:58.5047720Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:02:58.5048059Z >>> 2025-12-04T09:02:58.5048283Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:02:58.5048678Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:02:58.5048945Z 2025-12-04T09:02:58.5049491Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:02:58.5050134Z 2025-12-04T09:02:58.5050227Z _._ = None 2025-12-04T09:02:58.5050421Z ^ 2025-12-04T09:02:58.7053279Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T09:02:58.7054257Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:02:58.7054623Z 2025-12-04T09:02:58.7054841Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:02:58.7055350Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:02:58.7055873Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:02:58.7056412Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:02:58.7056952Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:02:58.7057354Z follows: 2025-12-04T09:02:58.7057470Z 2025-12-04T09:02:58.7057603Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:02:58.7058083Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:02:58.7058551Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:02:58.7058990Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:02:58.7059531Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:02:58.7059966Z >>> state = fsdp.state_dict() 2025-12-04T09:02:58.7060386Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:02:58.7060955Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:02:58.7061544Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:02:58.7061995Z >>> if dist.get_rank() == 0: 2025-12-04T09:02:58.7062371Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:02:58.7062805Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:02:58.7063331Z >>> model.load_state_dict(state_dict) 2025-12-04T09:02:58.7063802Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:02:58.7064417Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:02:58.7064874Z >>> fsdp = FSDP( 2025-12-04T09:02:58.7065099Z ... model, 2025-12-04T09:02:58.7065365Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:02:58.7065710Z ... auto_wrap_policy=..., 2025-12-04T09:02:58.7065998Z ... sync_module_states=True, 2025-12-04T09:02:58.7066285Z ... ) 2025-12-04T09:02:58.7066613Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:02:58.7067035Z 2025-12-04T09:02:58.7067121Z Attributes: 2025-12-04T09:02:58.7067444Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:02:58.7067963Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:02:58.7068444Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:02:58.7068710Z 2025-12-04T09:02:58.7069206Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:02:58.7069824Z 2025-12-04T09:02:58.7069904Z _._ = None 2025-12-04T09:02:58.7070104Z ^ 2025-12-04T09:03:00.1117408Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T09:03:00.1118417Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:00.1118942Z Register a parametrization to a tensor in a module. 2025-12-04T09:03:00.1119234Z 2025-12-04T09:03:00.1119509Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:03:00.1120187Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:03:00.1120866Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:03:00.1121530Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:03:00.1121950Z 2025-12-04T09:03:00.1122259Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:03:00.1122938Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:03:00.1123293Z 2025-12-04T09:03:00.1123555Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:03:00.1124047Z ``module.parametrizations.weight``. 2025-12-04T09:03:00.1124294Z 2025-12-04T09:03:00.1124427Z The original tensor will be accessible under 2025-12-04T09:03:00.1124823Z ``module.parametrizations.weight.original``. 2025-12-04T09:03:00.1125080Z 2025-12-04T09:03:00.1125355Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:03:00.1125853Z on the same attribute. 2025-12-04T09:03:00.1126035Z 2025-12-04T09:03:00.1126276Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:03:00.1126772Z to match the training mode of the host module 2025-12-04T09:03:00.1127012Z 2025-12-04T09:03:00.1127316Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:03:00.1127871Z using the context manager :func:`cached`. 2025-12-04T09:03:00.1128114Z 2025-12-04T09:03:00.1128354Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:03:00.1128714Z 2025-12-04T09:03:00.1130613Z .. code-block:: python 2025-12-04T09:03:00.1130814Z 2025-12-04T09:03:00.1131036Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:03:00.1131389Z 2025-12-04T09:03:00.1131657Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:03:00.1132478Z is registered to compute the initial value of the original tensor. 2025-12-04T09:03:00.1133121Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:03:00.1133550Z 2025-12-04T09:03:00.1133860Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:03:00.1134589Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:03:00.1135010Z 2025-12-04T09:03:00.1135237Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:03:00.1135857Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:03:00.1136545Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:03:00.1136908Z 2025-12-04T09:03:00.1137243Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:03:00.1137835Z with names ``original0``, ``original1``,... 2025-12-04T09:03:00.1138072Z 2025-12-04T09:03:00.1138243Z .. note:: 2025-12-04T09:03:00.1138370Z 2025-12-04T09:03:00.1138638Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:03:00.1139177Z once to perform a number of consistency checks. 2025-12-04T09:03:00.1139739Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:03:00.1140417Z and nothing will be called otherwise. 2025-12-04T09:03:00.1140641Z 2025-12-04T09:03:00.1140724Z .. note:: 2025-12-04T09:03:00.1140860Z 2025-12-04T09:03:00.1141060Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:03:00.1141506Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:03:00.1142028Z `right inverse `_). 2025-12-04T09:03:00.1142674Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:03:00.1143139Z to relax this. 2025-12-04T09:03:00.1143289Z 2025-12-04T09:03:00.1143385Z .. warning:: 2025-12-04T09:03:00.1143516Z 2025-12-04T09:03:00.1143799Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:03:00.1144441Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:03:00.1145093Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:03:00.1145682Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:03:00.1145989Z 2025-12-04T09:03:00.1146076Z Args: 2025-12-04T09:03:00.1146410Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:03:00.1146959Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:03:00.1147397Z the parametrization 2025-12-04T09:03:00.1147781Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:03:00.1148190Z Keyword args: 2025-12-04T09:03:00.1148546Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:03:00.1149063Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:03:00.1149643Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:03:00.1150149Z Enable this flag at your own risk. 2025-12-04T09:03:00.1150372Z 2025-12-04T09:03:00.1150465Z Raises: 2025-12-04T09:03:00.1150865Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:03:00.1151285Z 2025-12-04T09:03:00.1151368Z Examples: 2025-12-04T09:03:00.1151649Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:03:00.1151991Z >>> import torch 2025-12-04T09:03:00.1152261Z >>> import torch.nn as nn 2025-12-04T09:03:00.1152704Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:03:00.1153028Z >>> 2025-12-04T09:03:00.1153261Z >>> class Symmetric(nn.Module): 2025-12-04T09:03:00.1153584Z >>> def forward(self, X): 2025-12-04T09:03:00.1153969Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:03:00.1154339Z >>> 2025-12-04T09:03:00.1154571Z >>> def right_inverse(self, A): 2025-12-04T09:03:00.1154888Z >>> return A.triu() 2025-12-04T09:03:00.1155150Z >>> 2025-12-04T09:03:00.1155366Z >>> m = nn.Linear(5, 5) 2025-12-04T09:03:00.1155713Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:03:00.1156302Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:03:00.1156746Z True 2025-12-04T09:03:00.1156975Z >>> A = torch.rand(5, 5) 2025-12-04T09:03:00.1157260Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:03:00.1157762Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:03:00.1158204Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:03:00.1158527Z True 2025-12-04T09:03:00.1158647Z 2025-12-04T09:03:00.1158751Z >>> class RankOne(nn.Module): 2025-12-04T09:03:00.1159063Z >>> def forward(self, x, y): 2025-12-04T09:03:00.1159414Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:03:00.1159790Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:03:00.1160117Z >>> 2025-12-04T09:03:00.1160345Z >>> def right_inverse(self, Z): 2025-12-04T09:03:00.1160673Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:03:00.1161049Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:03:00.1161433Z >>> # Return rescaled singular vectors 2025-12-04T09:03:00.1161779Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:03:00.1162147Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:03:00.1162493Z >>> 2025-12-04T09:03:00.1162762Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:03:00.1163135Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:03:00.1163457Z ... ) 2025-12-04T09:03:00.1163790Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:03:00.1164184Z 1 2025-12-04T09:03:00.1164311Z 2025-12-04T09:03:00.1164389Z 2025-12-04T09:03:00.1165033Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:03:00.1165679Z 2025-12-04T09:03:00.1165770Z _._ = None 2025-12-04T09:03:00.1165958Z ^ 2025-12-04T09:03:00.2039467Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T09:03:00.2040696Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:00.2041257Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:03:00.2041625Z 2025-12-04T09:03:00.2041830Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:03:00.2042420Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:03:00.2042948Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:03:00.2043392Z of epochs, the learning rate is reduced. 2025-12-04T09:03:00.2043641Z 2025-12-04T09:03:00.2043771Z Args: 2025-12-04T09:03:00.2044030Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:03:00.2044455Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:03:00.2044909Z be reduced when the quantity monitored has stopped 2025-12-04T09:03:00.2045399Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:03:00.2046085Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:03:00.2046578Z factor (float): Factor by which the learning rate will be 2025-12-04T09:03:00.2047067Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:03:00.2047598Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:03:00.2048058Z which the learning rate will be reduced. 2025-12-04T09:03:00.2048580Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:03:00.2049358Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:03:00.2050200Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:03:00.2050738Z we have what is considered an intolerable epoch. 2025-12-04T09:03:00.2051274Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:03:00.2051893Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:03:00.2052544Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:03:00.2053366Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:03:00.2053985Z the learning rate is not adjusted. 2025-12-04T09:03:00.2054309Z Default: 10. 2025-12-04T09:03:00.2054704Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:03:00.2055211Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:03:00.2055675Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:03:00.2056164Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:03:00.2056584Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:03:00.2057058Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:03:00.2057548Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:03:00.2058019Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:03:00.2058535Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:03:00.2059013Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:03:00.2059488Z lower bound on the learning rate of all param groups 2025-12-04T09:03:00.2059939Z or each group respectively. Default: 0. 2025-12-04T09:03:00.2060367Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:03:00.2060906Z between new and old lr is smaller than eps, the update is 2025-12-04T09:03:00.2061345Z ignored. Default: 1e-8. 2025-12-04T09:03:00.2061565Z 2025-12-04T09:03:00.2061650Z Example: 2025-12-04T09:03:00.2061880Z >>> # xdoctest: +SKIP 2025-12-04T09:03:00.2062349Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:03:00.2062896Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:03:00.2063274Z >>> for epoch in range(10): 2025-12-04T09:03:00.2063589Z >>> train(...) 2025-12-04T09:03:00.2063880Z >>> val_loss = validate(...) 2025-12-04T09:03:00.2064241Z >>> # Note that step should be called after validate() 2025-12-04T09:03:00.2064676Z >>> scheduler.step(val_loss) 2025-12-04T09:03:00.2064888Z 2025-12-04T09:03:00.2065132Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:03:00.2065543Z 2025-12-04T09:03:00.2066125Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:03:00.2066707Z 2025-12-04T09:03:00.2066824Z scheduler.step(val_loss) 2025-12-04T09:03:00.2067204Z ^ 2025-12-04T09:03:02.1882901Z running 894 test(s) 2025-12-04T09:03:02.1900180Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file 2025-12-04T09:03:02.1908651Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::typename:0 2025-12-04T09:03:02.1909869Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file 2025-12-04T09:03:02.1914449Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_tensor:0 2025-12-04T09:03:02.1915557Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file 2025-12-04T09:03:02.1923947Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_storage:0 2025-12-04T09:03:02.1925218Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file 2025-12-04T09:03:02.1926888Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_device:0 2025-12-04T09:03:02.1928542Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1296 <- wrt source file 2025-12-04T09:03:02.1929799Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-12-04T09:03:02.1931232Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file 2025-12-04T09:03:02.1933032Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_dtype:0 2025-12-04T09:03:02.1934276Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file 2025-12-04T09:03:02.1935611Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-12-04T09:03:02.1936961Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file 2025-12-04T09:03:02.1938173Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::compile:0 2025-12-04T09:03:02.1939528Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2963 <- wrt source file 2025-12-04T09:03:02.1941594Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-12-04T09:03:02.1943017Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2025-12-04T09:03:02.1944364Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::Generator:0 2025-12-04T09:03:02.1945670Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2025-12-04T09:03:02.1947024Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::_LinAlgError:0 2025-12-04T09:03:02.1948234Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-12-04T09:03:02.1949370Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::custom_op:0 2025-12-04T09:03:02.1950610Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-12-04T09:03:02.1951797Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl:0 2025-12-04T09:03:02.1952920Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-12-04T09:03:02.2213024Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-12-04T09:03:02.2214680Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-12-04T09:03:02.2216204Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-12-04T09:03:02.2217445Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file 2025-12-04T09:03:02.2226665Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-12-04T09:03:02.2227983Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 738 <- wrt source file 2025-12-04T09:03:02.2270599Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-12-04T09:03:02.2271876Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file 2025-12-04T09:03:02.2390752Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-12-04T09:03:02.2393854Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file 2025-12-04T09:03:02.2399900Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-12-04T09:03:02.2401026Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file 2025-12-04T09:03:02.2418727Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.rename:0 2025-12-04T09:03:02.2419892Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1522 <- wrt source file 2025-12-04T09:03:02.2495956Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-12-04T09:03:02.2498253Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file 2025-12-04T09:03:02.2517089Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.dim_order:0 2025-12-04T09:03:02.2519397Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-12-04T09:03:02.2535941Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-12-04T09:03:02.2538245Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-12-04T09:03:02.2544209Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_tensors:0 2025-12-04T09:03:02.2546512Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-12-04T09:03:02.2549132Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_shapes:0 2025-12-04T09:03:02.2551309Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-12-04T09:03:02.2562841Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::split:0 2025-12-04T09:03:02.2564978Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-12-04T09:03:02.2609704Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::einsum:0 2025-12-04T09:03:02.2612641Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file 2025-12-04T09:03:02.2642649Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::meshgrid:0 2025-12-04T09:03:02.2644853Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file 2025-12-04T09:03:02.2738892Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_impl:0 2025-12-04T09:03:02.2741494Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-12-04T09:03:02.2752536Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-12-04T09:03:02.2754881Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-12-04T09:03:02.2823649Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::tensordot:0 2025-12-04T09:03:02.2825878Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-12-04T09:03:02.2831765Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cartesian_prod:0 2025-12-04T09:03:02.2833991Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-12-04T09:03:02.2842787Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::block_diag:0 2025-12-04T09:03:02.2844920Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-12-04T09:03:02.2859289Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cdist:0 2025-12-04T09:03:02.2861443Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-12-04T09:03:02.2878145Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_1d:0 2025-12-04T09:03:02.2880320Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-12-04T09:03:02.2897741Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_2d:0 2025-12-04T09:03:02.2899916Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-12-04T09:03:02.2922018Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_3d:0 2025-12-04T09:03:02.2924145Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-12-04T09:03:02.2969741Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::norm:0 2025-12-04T09:03:02.2971934Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file 2025-12-04T09:03:02.2999083Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::unravel_index:0 2025-12-04T09:03:02.3001320Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file 2025-12-04T09:03:02.3003590Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::chain_matmul:0 2025-12-04T09:03:02.3005919Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file 2025-12-04T09:03:02.3008205Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_lu_impl:0 2025-12-04T09:03:02.3010212Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::list:0, line 477 <- wrt source file 2025-12-04T09:03:02.3012172Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::list:0 2025-12-04T09:03:02.3014067Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::help:0, line 537 <- wrt source file 2025-12-04T09:03:02.3015992Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::help:0 2025-12-04T09:03:02.3017906Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load:0, line 628 <- wrt source file 2025-12-04T09:03:02.3019856Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load:0 2025-12-04T09:03:02.3021830Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file 2025-12-04T09:03:02.3023893Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::_load_local:0 2025-12-04T09:03:02.3026004Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::download_url_to_file:0, line 711 <- wrt source file 2025-12-04T09:03:02.3028240Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::download_url_to_file:0 2025-12-04T09:03:02.3030470Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load_state_dict_from_url:0, line 852 <- wrt source file 2025-12-04T09:03:02.3032762Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load_state_dict_from_url:0 2025-12-04T09:03:02.3034998Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file 2025-12-04T09:03:02.3037243Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.define:0 2025-12-04T09:03:02.3039631Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 239 <- wrt source file 2025-12-04T09:03:02.3042380Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-12-04T09:03:02.3044698Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file 2025-12-04T09:03:02.3046876Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.impl:0 2025-12-04T09:03:02.3048976Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::define:0, line 521 <- wrt source file 2025-12-04T09:03:02.3073699Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::define:0 2025-12-04T09:03:02.3075735Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::impl:0, line 627 <- wrt source file 2025-12-04T09:03:02.3090735Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::impl:0 2025-12-04T09:03:02.3092847Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file 2025-12-04T09:03:02.3095090Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_kernel:0 2025-12-04T09:03:02.3097438Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file 2025-12-04T09:03:02.3099832Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autocast:0 2025-12-04T09:03:02.3102107Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file 2025-12-04T09:03:02.3269256Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autograd:0 2025-12-04T09:03:02.3271581Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file 2025-12-04T09:03:02.3345532Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_torch_dispatch:0 2025-12-04T09:03:02.3347815Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file 2025-12-04T09:03:02.3496212Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_vmap:0 2025-12-04T09:03:02.3498335Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file 2025-12-04T09:03:02.3500447Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::opcheck:0 2025-12-04T09:03:02.3502669Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file 2025-12-04T09:03:02.3505096Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_ignored_functions:0 2025-12-04T09:03:02.3507462Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file 2025-12-04T09:03:02.3536826Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_testing_overrides:0 2025-12-04T09:03:02.3539193Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file 2025-12-04T09:03:02.3542371Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::wrap_torch_function:0 2025-12-04T09:03:02.3545683Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file 2025-12-04T09:03:02.3548003Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::handle_torch_function:0 2025-12-04T09:03:02.3550339Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1974 <- wrt source file 2025-12-04T09:03:02.3571200Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-12-04T09:03:02.3573906Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file 2025-12-04T09:03:02.3579456Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_like:0 2025-12-04T09:03:02.3581679Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-12-04T09:03:02.3583928Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/quasirandom.py::SobolEngine:0 2025-12-04T09:03:02.3586194Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file 2025-12-04T09:03:02.3588708Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::add_safe_globals:0 2025-12-04T09:03:02.3591026Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file 2025-12-04T09:03:02.3593347Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::safe_globals:0 2025-12-04T09:03:02.3595560Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file 2025-12-04T09:03:02.3597910Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::skip_data:0 2025-12-04T09:03:02.3600195Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file 2025-12-04T09:03:02.3602679Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::register_package:0 2025-12-04T09:03:02.3604899Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file 2025-12-04T09:03:02.3607140Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::save:0 2025-12-04T09:03:02.3609254Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file 2025-12-04T09:03:02.3611405Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::load:0 2025-12-04T09:03:02.3613573Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-12-04T09:03:02.3615872Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/torch_version.py::TorchVersion:0 2025-12-04T09:03:02.3618166Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 349 <- wrt source file 2025-12-04T09:03:02.3620598Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-12-04T09:03:02.3622930Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file 2025-12-04T09:03:02.3625241Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_options:0 2025-12-04T09:03:02.3627758Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1911 <- wrt source file 2025-12-04T09:03:02.3630514Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2025-12-04T09:03:02.3633125Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file 2025-12-04T09:03:02.3635806Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-12-04T09:03:02.3638363Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::get_device_capability:0, line 171 <- wrt source file 2025-12-04T09:03:02.3641216Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::get_device_capability:0 2025-12-04T09:03:02.3643659Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file 2025-12-04T09:03:02.3646060Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::device_index:0 2025-12-04T09:03:02.3648520Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 130 <- wrt source file 2025-12-04T09:03:02.3650863Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-12-04T09:03:02.3653191Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 186 <- wrt source file 2025-12-04T09:03:02.6266840Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-12-04T09:03:02.6268262Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file 2025-12-04T09:03:02.6269641Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-12-04T09:03:02.6271185Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file 2025-12-04T09:03:02.6272598Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-12-04T09:03:02.6273932Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 469 <- wrt source file 2025-12-04T09:03:02.6275427Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-12-04T09:03:02.6276654Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file 2025-12-04T09:03:02.6279470Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-12-04T09:03:02.6281368Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 502 <- wrt source file 2025-12-04T09:03:02.6283239Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-12-04T09:03:02.6284961Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 522 <- wrt source file 2025-12-04T09:03:02.6286678Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-12-04T09:03:02.6288143Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file 2025-12-04T09:03:02.6289544Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-12-04T09:03:02.6291195Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file 2025-12-04T09:03:02.6293013Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::save:0 2025-12-04T09:03:02.6294273Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file 2025-12-04T09:03:02.6295407Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::load:0 2025-12-04T09:03:02.6296585Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file 2025-12-04T09:03:02.6297844Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::register_dataclass:0 2025-12-04T09:03:02.6299174Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file 2025-12-04T09:03:02.6300391Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.then:0 2025-12-04T09:03:02.6301643Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 201 <- wrt source file 2025-12-04T09:03:02.6302974Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-12-04T09:03:02.6304245Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_result:0, line 235 <- wrt source file 2025-12-04T09:03:02.6305522Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_result:0 2025-12-04T09:03:02.6307373Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 265 <- wrt source file 2025-12-04T09:03:02.6309167Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-12-04T09:03:02.6310386Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file 2025-12-04T09:03:02.6311591Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::collect_all:0 2025-12-04T09:03:02.6312731Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-12-04T09:03:02.6313859Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/__init__.py::annotate:0 2025-12-04T09:03:02.6315081Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-12-04T09:03:02.6316443Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-12-04T09:03:02.6317757Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file 2025-12-04T09:03:02.6318953Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/mps/__init__.py::compile_shader:0 2025-12-04T09:03:02.6320143Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file 2025-12-04T09:03:02.6415342Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-12-04T09:03:02.6417710Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-12-04T09:03:02.6421517Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-12-04T09:03:02.6423721Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-12-04T09:03:02.6493758Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::narrow:0 2025-12-04T09:03:02.6496113Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file 2025-12-04T09:03:02.6502781Z W1204 09:03:02.649000 964 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. 2025-12-04T09:03:02.6520705Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-12-04T09:03:02.6523021Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-12-04T09:03:02.6558466Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::masked_select:0 2025-12-04T09:03:02.6560520Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file 2025-12-04T09:03:02.6587639Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::sum:0 2025-12-04T09:03:02.6590073Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2025-12-04T09:03:02.6603958Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-12-04T09:03:02.6606512Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file 2025-12-04T09:03:02.6703776Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-12-04T09:03:02.6706130Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 361 <- wrt source file 2025-12-04T09:03:02.6708571Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-12-04T09:03:02.6711112Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 328 <- wrt source file 2025-12-04T09:03:02.6713799Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-12-04T09:03:02.6716723Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0, line 1316 <- wrt source file 2025-12-04T09:03:02.6720011Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0 2025-12-04T09:03:02.6722817Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1441 <- wrt source file 2025-12-04T09:03:02.6725422Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-12-04T09:03:02.6728406Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 194 <- wrt source file 2025-12-04T09:03:02.6731338Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-12-04T09:03:02.6733980Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0, line 262 <- wrt source file 2025-12-04T09:03:02.6736469Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0 2025-12-04T09:03:02.6738865Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 771 <- wrt source file 2025-12-04T09:03:02.7044184Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-12-04T09:03:02.7046700Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2025-12-04T09:03:02.7049342Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-12-04T09:03:02.7051733Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file 2025-12-04T09:03:02.7153880Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-12-04T09:03:02.7156332Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file 2025-12-04T09:03:02.7250376Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-12-04T09:03:02.7252720Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file 2025-12-04T09:03:02.7961868Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-12-04T09:03:02.7964339Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file 2025-12-04T09:03:02.8029801Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-12-04T09:03:02.8032298Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file 2025-12-04T09:03:02.8052215Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-12-04T09:03:02.8054696Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file 2025-12-04T09:03:02.8057393Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-12-04T09:03:02.8059800Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file 2025-12-04T09:03:02.8243481Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-12-04T09:03:02.8245889Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2025-12-04T09:03:02.8248434Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-12-04T09:03:02.8251059Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-12-04T09:03:02.8253336Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-12-04T09:03:02.8255916Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1111 <- wrt source file 2025-12-04T09:03:02.8258770Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-12-04T09:03:02.8261735Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1166 <- wrt source file 2025-12-04T09:03:02.8264602Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-12-04T09:03:02.8267298Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 183 <- wrt source file 2025-12-04T09:03:02.8269957Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-12-04T09:03:02.8272610Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 319 <- wrt source file 2025-12-04T09:03:02.8275386Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-12-04T09:03:02.8277854Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 139 <- wrt source file 2025-12-04T09:03:02.8280045Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-12-04T09:03:02.8282347Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file 2025-12-04T09:03:02.8284855Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-12-04T09:03:02.8287134Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/map.py::map:0, line 80 <- wrt source file 2025-12-04T09:03:02.8289304Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/map.py::map:0 2025-12-04T09:03:02.8291869Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0, line 133 <- wrt source file 2025-12-04T09:03:02.8294820Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0 2025-12-04T09:03:02.8297310Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 130 <- wrt source file 2025-12-04T09:03:02.8299491Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-12-04T09:03:02.8301742Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file 2025-12-04T09:03:02.8304134Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-12-04T09:03:02.8306732Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1845 <- wrt source file 2025-12-04T09:03:02.8309510Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2025-12-04T09:03:02.8312166Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 4328 <- wrt source file 2025-12-04T09:03:02.8314748Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-12-04T09:03:02.8317231Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0, line 100 <- wrt source file 2025-12-04T09:03:02.8319948Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0 2025-12-04T09:03:02.8322421Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0, line 56 <- wrt source file 2025-12-04T09:03:02.8324875Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0 2025-12-04T09:03:02.8327427Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0, line 423 <- wrt source file 2025-12-04T09:03:02.8330164Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0 2025-12-04T09:03:02.8332891Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0, line 69 <- wrt source file 2025-12-04T09:03:02.8335644Z * SKIPPED: 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/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0, line 179 <- wrt source file 2025-12-04T09:03:02.8352883Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0 2025-12-04T09:03:02.8355752Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0, line 54 <- wrt source file 2025-12-04T09:03:02.8358777Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0 2025-12-04T09:03:02.8361284Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::custom_op:0, line 101 <- wrt source file 2025-12-04T09:03:02.8590377Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-12-04T09:03:02.8593251Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 241 <- wrt source file 2025-12-04T09:03:02.8672554Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-12-04T09:03:02.8675314Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 310 <- wrt source file 2025-12-04T09:03:02.8678095Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-12-04T09:03:02.8681056Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 549 <- wrt source file 2025-12-04T09:03:02.8832278Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-12-04T09:03:02.8833693Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 724 <- wrt source file 2025-12-04T09:03:02.8991537Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-12-04T09:03:02.8993475Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 810 <- wrt source file 2025-12-04T09:03:02.8995104Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-12-04T09:03:02.8996687Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 273 <- wrt source file 2025-12-04T09:03:02.8998342Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-12-04T09:03:02.8999888Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file 2025-12-04T09:03:02.9062752Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-12-04T09:03:02.9070054Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 53 <- wrt source file 2025-12-04T09:03:02.9071457Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-12-04T09:03:02.9072838Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file 2025-12-04T09:03:02.9074058Z * SKIPPED: 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2025-12-04T09:03:02.9112453Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 302 <- wrt source file 2025-12-04T09:03:02.9113780Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2025-12-04T09:03:02.9115082Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0, line 375 <- wrt source file 2025-12-04T09:03:02.9164172Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2025-12-04T09:03:02.9165481Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 496 <- wrt source file 2025-12-04T09:03:02.9167704Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2025-12-04T09:03:02.9169014Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 793 <- wrt source file 2025-12-04T09:03:02.9247781Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2025-12-04T09:03:02.9249133Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 899 <- wrt source file 2025-12-04T09:03:02.9304085Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2025-12-04T09:03:02.9305441Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file 2025-12-04T09:03:02.9352161Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-12-04T09:03:02.9353507Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file 2025-12-04T09:03:02.9354845Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-12-04T09:03:02.9356142Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file 2025-12-04T09:03:02.9401395Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-12-04T09:03:02.9402786Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file 2025-12-04T09:03:02.9405491Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-12-04T09:03:02.9406857Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file 2025-12-04T09:03:02.9410383Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-12-04T09:03:02.9411743Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file 2025-12-04T09:03:02.9413021Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-12-04T09:03:02.9414463Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file 2025-12-04T09:03:02.9417283Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-12-04T09:03:02.9418600Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1881 <- wrt source file 2025-12-04T09:03:02.9420718Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2025-12-04T09:03:02.9422671Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-12-04T09:03:02.9424452Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-12-04T09:03:02.9426096Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0, line 47 <- wrt source file 2025-12-04T09:03:02.9428474Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0 2025-12-04T09:03:02.9429898Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-12-04T09:03:02.9431107Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-12-04T09:03:02.9432432Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 34 <- wrt source file 2025-12-04T09:03:02.9433936Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:03:02.9435495Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file 2025-12-04T09:03:02.9437164Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:03:02.9438818Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2025-12-04T09:03:02.9440591Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:03:02.9442180Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file 2025-12-04T09:03:02.9443813Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-12-04T09:03:02.9445379Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file 2025-12-04T09:03:02.9446936Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-12-04T09:03:02.9448457Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 29 <- wrt source file 2025-12-04T09:03:02.9522624Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-12-04T09:03:02.9524542Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file 2025-12-04T09:03:02.9556736Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-12-04T09:03:02.9559121Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file 2025-12-04T09:03:02.9560994Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-12-04T09:03:02.9562285Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file 2025-12-04T09:03:02.9563729Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-12-04T09:03:02.9565007Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file 2025-12-04T09:03:02.9566499Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-12-04T09:03:02.9567884Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2025-12-04T09:03:02.9569262Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-12-04T09:03:02.9570621Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2025-12-04T09:03:02.9572991Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-12-04T09:03:02.9574716Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2025-12-04T09:03:02.9576437Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-12-04T09:03:02.9578048Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 126 <- wrt source file 2025-12-04T09:03:02.9580055Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-12-04T09:03:02.9581979Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 212 <- wrt source file 2025-12-04T09:03:02.9583500Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-12-04T09:03:02.9584954Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 300 <- wrt source file 2025-12-04T09:03:02.9586850Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:03:02.9589023Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 383 <- wrt source file 2025-12-04T09:03:02.9590956Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:03:02.9592787Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 466 <- wrt source file 2025-12-04T09:03:02.9594504Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:03:02.9595978Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2025-12-04T09:03:02.9597516Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-12-04T09:03:02.9598899Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 516 <- wrt source file 2025-12-04T09:03:02.9600291Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-12-04T09:03:02.9601726Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 803 <- wrt source file 2025-12-04T09:03:02.9603122Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-12-04T09:03:02.9604492Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1209 <- wrt source file 2025-12-04T09:03:02.9605910Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-12-04T09:03:02.9607950Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1276 <- wrt source file 2025-12-04T09:03:02.9610580Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-12-04T09:03:02.9613111Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1329 <- wrt source file 2025-12-04T09:03:02.9615797Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-12-04T09:03:02.9618293Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2025-12-04T09:03:02.9620793Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-12-04T09:03:02.9623195Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 376 <- wrt source file 2025-12-04T09:03:02.9625573Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2025-12-04T09:03:02.9628155Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 506 <- wrt source file 2025-12-04T09:03:02.9630941Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-12-04T09:03:02.9633669Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 636 <- wrt source file 2025-12-04T09:03:02.9636169Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-12-04T09:03:02.9638817Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 893 <- wrt source file 2025-12-04T09:03:02.9642054Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:03:02.9645260Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1015 <- wrt source file 2025-12-04T09:03:02.9648326Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:03:02.9650876Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1141 <- wrt source file 2025-12-04T09:03:02.9653490Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:03:02.9656073Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file 2025-12-04T09:03:02.9658893Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-12-04T09:03:02.9661525Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file 2025-12-04T09:03:02.9664234Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-12-04T09:03:02.9667022Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file 2025-12-04T09:03:02.9669946Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-12-04T09:03:02.9672775Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file 2025-12-04T09:03:02.9675599Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-12-04T09:03:02.9678211Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 135 <- wrt source file 2025-12-04T09:03:02.9680673Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-12-04T09:03:02.9682992Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 24 <- wrt source file 2025-12-04T09:03:02.9685312Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2025-12-04T09:03:02.9688249Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file 2025-12-04T09:03:02.9694235Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0 2025-12-04T09:03:02.9697623Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2025-12-04T09:03:02.9700912Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-12-04T09:03:02.9703793Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file 2025-12-04T09:03:02.9706457Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-12-04T09:03:02.9709230Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2025-12-04T09:03:02.9712014Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-12-04T09:03:02.9714841Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 251 <- wrt source file 2025-12-04T09:03:02.9717885Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2025-12-04T09:03:02.9720679Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 175 <- wrt source file 2025-12-04T09:03:02.9723186Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-12-04T09:03:02.9725748Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 32 <- wrt source file 2025-12-04T09:03:02.9728429Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-12-04T09:03:02.9731082Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 83 <- wrt source file 2025-12-04T09:03:02.9733849Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-12-04T09:03:02.9736556Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 143 <- wrt source file 2025-12-04T09:03:02.9739296Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-12-04T09:03:02.9742220Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 182 <- wrt source file 2025-12-04T09:03:02.9745092Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-12-04T09:03:02.9747679Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file 2025-12-04T09:03:02.9750068Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-12-04T09:03:02.9752484Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file 2025-12-04T09:03:02.9755054Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-12-04T09:03:02.9757498Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2025-12-04T09:03:02.9759887Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-12-04T09:03:02.9762240Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file 2025-12-04T09:03:02.9764661Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-12-04T09:03:02.9767216Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file 2025-12-04T09:03:02.9769731Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-12-04T09:03:02.9772163Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file 2025-12-04T09:03:02.9774591Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-12-04T09:03:02.9777096Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file 2025-12-04T09:03:02.9779876Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-12-04T09:03:02.9782618Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file 2025-12-04T09:03:02.9785511Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-12-04T09:03:02.9788188Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file 2025-12-04T09:03:02.9790706Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-12-04T09:03:02.9793234Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file 2025-12-04T09:03:02.9795856Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-12-04T09:03:02.9798407Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file 2025-12-04T09:03:02.9800931Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-12-04T09:03:02.9803380Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 171 <- wrt source file 2025-12-04T09:03:02.9805875Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-12-04T09:03:02.9808285Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 553 <- wrt source file 2025-12-04T09:03:02.9810765Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-12-04T09:03:02.9813223Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 575 <- wrt source file 2025-12-04T09:03:02.9815762Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-12-04T09:03:02.9818236Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 589 <- wrt source file 2025-12-04T09:03:02.9820739Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-12-04T09:03:02.9823172Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 611 <- wrt source file 2025-12-04T09:03:02.9825697Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-12-04T09:03:02.9828084Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 738 <- wrt source file 2025-12-04T09:03:02.9830529Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2025-12-04T09:03:02.9833163Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0, line 216 <- wrt source file 2025-12-04T09:03:02.9836091Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0 2025-12-04T09:03:02.9839026Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file 2025-12-04T09:03:02.9842428Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2025-12-04T09:03:02.9845291Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 85 <- wrt source file 2025-12-04T09:03:02.9848095Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2025-12-04T09:03:02.9851321Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 341 <- wrt source file 2025-12-04T09:03:02.9855182Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0 2025-12-04T09:03:02.9858899Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0, line 429 <- wrt source file 2025-12-04T09:03:02.9862711Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0 2025-12-04T09:03:02.9866437Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0, line 591 <- wrt source file 2025-12-04T09:03:02.9870230Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0 2025-12-04T09:03:02.9874021Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0, line 664 <- wrt source file 2025-12-04T09:03:02.9877960Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0 2025-12-04T09:03:02.9881295Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 104 <- wrt source file 2025-12-04T09:03:02.9884235Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-12-04T09:03:02.9887254Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 155 <- wrt source file 2025-12-04T09:03:02.9890160Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-12-04T09:03:02.9892949Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 189 <- wrt source file 2025-12-04T09:03:02.9895777Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2025-12-04T09:03:02.9898743Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 442 <- wrt source file 2025-12-04T09:03:02.9901709Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-12-04T09:03:02.9904319Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file 2025-12-04T09:03:02.9906669Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0 2025-12-04T09:03:02.9908939Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file 2025-12-04T09:03:02.9911176Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::make_dual:0 2025-12-04T09:03:02.9913388Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file 2025-12-04T09:03:02.9915662Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::unpack_dual:0 2025-12-04T09:03:02.9917947Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file 2025-12-04T09:03:02.9920207Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/forward_ad.py::dual_level:0 2025-12-04T09:03:02.9922596Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 72 <- wrt source file 2025-12-04T09:03:02.9925210Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0 2025-12-04T09:03:02.9927783Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 116 <- wrt source file 2025-12-04T09:03:02.9930377Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0 2025-12-04T09:03:02.9932876Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 169 <- wrt source file 2025-12-04T09:03:02.9935385Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2025-12-04T09:03:02.9937967Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 216 <- wrt source file 2025-12-04T09:03:02.9940849Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2025-12-04T09:03:02.9943667Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 245 <- wrt source file 2025-12-04T09:03:02.9946379Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2025-12-04T09:03:02.9948804Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file 2025-12-04T09:03:02.9951010Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::Function:0 2025-12-04T09:03:02.9953149Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::vjp:0, line 300 <- wrt source file 2025-12-04T09:03:02.9955397Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::vjp:0 2025-12-04T09:03:02.9957589Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::jvp:0, line 402 <- wrt source file 2025-12-04T09:03:02.9959750Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::jvp:0 2025-12-04T09:03:02.9961905Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::jacobian:0, line 642 <- wrt source file 2025-12-04T09:03:02.9964199Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::jacobian:0 2025-12-04T09:03:02.9966358Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file 2025-12-04T09:03:02.9968600Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hessian:0 2025-12-04T09:03:02.9970729Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file 2025-12-04T09:03:02.9972901Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::vhp:0 2025-12-04T09:03:02.9975021Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file 2025-12-04T09:03:02.9977155Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hvp:0 2025-12-04T09:03:02.9979250Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2025-12-04T09:03:02.9981433Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-12-04T09:03:02.9983589Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2025-12-04T09:03:02.9985815Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-12-04T09:03:02.9988052Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2025-12-04T09:03:02.9990387Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-12-04T09:03:02.9992683Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 252 <- wrt source file 2025-12-04T09:03:02.9995004Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2025-12-04T09:03:02.9997173Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file 2025-12-04T09:03:02.9999428Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.name:0 2025-12-04T09:03:03.0001604Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 117 <- wrt source file 2025-12-04T09:03:03.0003907Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_hook:0 2025-12-04T09:03:03.0006207Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 154 <- wrt source file 2025-12-04T09:03:03.0008586Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-12-04T09:03:03.0010968Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 292 <- wrt source file 2025-12-04T09:03:03.0013299Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-12-04T09:03:03.0015485Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 362 <- wrt source file 2025-12-04T09:03:03.0017645Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-12-04T09:03:03.0019938Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 419 <- wrt source file 2025-12-04T09:03:03.0022463Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2025-12-04T09:03:03.0024878Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 503 <- wrt source file 2025-12-04T09:03:03.0027313Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2025-12-04T09:03:03.0029768Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 777 <- wrt source file 2025-12-04T09:03:03.0032337Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2025-12-04T09:03:03.0034671Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file 2025-12-04T09:03:03.0036874Z * SKIPPED: 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2025-12-04T09:03:03.0052640Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file 2025-12-04T09:03:03.0055060Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler_util.py::EventList:0 2025-12-04T09:03:03.0057250Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 43 <- wrt source file 2025-12-04T09:03:03.0059429Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-12-04T09:03:03.0061600Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 59 <- wrt source file 2025-12-04T09:03:03.0063796Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-12-04T09:03:03.0065929Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file 2025-12-04T09:03:03.0067929Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::GdsFile:0 2025-12-04T09:03:03.0070027Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2025-12-04T09:03:03.0072246Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-12-04T09:03:03.0074423Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 2025-12-04T09:03:03.0076642Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-12-04T09:03:03.0078889Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file 2025-12-04T09:03:03.0081095Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-12-04T09:03:03.0083395Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file 2025-12-04T09:03:03.0085857Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-12-04T09:03:03.0088103Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-12-04T09:03:03.0090184Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/profiler.py::profile:0 2025-12-04T09:03:03.0092491Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0, line 125 <- wrt source file 2025-12-04T09:03:03.0095129Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-12-04T09:03:03.0112976Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 1027 <- wrt source file 2025-12-04T09:03:03.0115624Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-12-04T09:03:03.0118171Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1317 <- wrt source file 2025-12-04T09:03:03.0120640Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-12-04T09:03:03.0123261Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2652 <- wrt source file 2025-12-04T09:03:03.0125914Z * SKIPPED: 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/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0 2025-12-04T09:03:03.0159304Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0, line 3574 <- wrt source file 2025-12-04T09:03:03.0161898Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0 2025-12-04T09:03:03.0164518Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0, line 3719 <- wrt source file 2025-12-04T09:03:03.0167233Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0 2025-12-04T09:03:03.0169979Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0, line 3844 <- wrt source file 2025-12-04T09:03:03.0172616Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0 2025-12-04T09:03:03.0175132Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::all_gather:0, line 3947 <- wrt source file 2025-12-04T09:03:03.0177597Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::all_gather:0 2025-12-04T09:03:03.0180229Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 4054 <- wrt source file 2025-12-04T09:03:03.0182923Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2025-12-04T09:03:03.0185560Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 4192 <- wrt source file 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DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0, line 173 <- wrt source file 2025-12-04T09:03:03.0524363Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0 2025-12-04T09:03:03.0527296Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0, line 228 <- wrt source file 2025-12-04T09:03:03.0530339Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0 2025-12-04T09:03:03.0533141Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1276 <- wrt source file 2025-12-04T09:03:03.0535790Z * SKIPPED: 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wrt source file 2025-12-04T09:03:03.0552912Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict_loader.py::load:0 2025-12-04T09:03:03.0555473Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict_saver.py::save:0, line 160 <- wrt source file 2025-12-04T09:03:03.0558128Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict_saver.py::save:0 2025-12-04T09:03:03.0560729Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict_saver.py::async_save:0, line 275 <- wrt source file 2025-12-04T09:03:03.0563442Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict_saver.py::async_save:0 2025-12-04T09:03:03.0566189Z * DOCTEST : 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/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/categorical.py::Categorical:0 2025-12-04T09:03:03.0998096Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-12-04T09:03:03.1000307Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-12-04T09:03:03.1002424Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-12-04T09:03:03.1004525Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/chi2.py::Chi2:0 2025-12-04T09:03:03.1006777Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file 2025-12-04T09:03:03.1009235Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-12-04T09:03:03.1011735Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file 2025-12-04T09:03:03.1014322Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-12-04T09:03:03.1016978Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-12-04T09:03:03.1019788Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-12-04T09:03:03.1022298Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file 2025-12-04T09:03:03.1024651Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-12-04T09:03:03.1027001Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-12-04T09:03:03.1029552Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/exponential.py::Exponential:0 2025-12-04T09:03:03.1032038Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-12-04T09:03:03.1034635Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-12-04T09:03:03.1036922Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-12-04T09:03:03.1039158Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gamma.py::Gamma:0 2025-12-04T09:03:03.1041795Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-12-04T09:03:03.1044574Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-12-04T09:03:03.1047087Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-12-04T09:03:03.1049430Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/geometric.py::Geometric:0 2025-12-04T09:03:03.1051647Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-12-04T09:03:03.1053854Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-12-04T09:03:03.1056126Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-12-04T09:03:03.1058612Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-12-04T09:03:03.1060955Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-12-04T09:03:03.1063332Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-12-04T09:03:03.1065707Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-12-04T09:03:03.1068158Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/independent.py::Independent:0 2025-12-04T09:03:03.1070583Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-12-04T09:03:03.1073080Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-12-04T09:03:03.1075518Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-12-04T09:03:03.1078037Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-12-04T09:03:03.1080343Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-12-04T09:03:03.1082610Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/laplace.py::Laplace:0 2025-12-04T09:03:03.1084894Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-12-04T09:03:03.1087443Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-12-04T09:03:03.1089781Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-12-04T09:03:03.1092123Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-12-04T09:03:03.1094525Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-12-04T09:03:03.1097108Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-12-04T09:03:03.1099979Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 63 <- wrt source file 2025-12-04T09:03:03.1103046Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2025-12-04T09:03:03.1105860Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 24 <- wrt source file 2025-12-04T09:03:03.1108581Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0 2025-12-04T09:03:03.1111103Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-12-04T09:03:03.1113555Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-12-04T09:03:03.1116138Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-12-04T09:03:03.1118965Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-12-04T09:03:03.1121378Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-12-04T09:03:03.1123590Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/normal.py::Normal:0 2025-12-04T09:03:03.1126015Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file 2025-12-04T09:03:03.1128733Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-12-04T09:03:03.1131138Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-12-04T09:03:03.1133336Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/pareto.py::Pareto:0 2025-12-04T09:03:03.1135517Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-12-04T09:03:03.1137774Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/poisson.py::Poisson:0 2025-12-04T09:03:03.1140319Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file 2025-12-04T09:03:03.1142999Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0 2025-12-04T09:03:03.1145846Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file 2025-12-04T09:03:03.1148765Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0 2025-12-04T09:03:03.1151311Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-12-04T09:03:03.1153605Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/studentT.py::StudentT:0 2025-12-04T09:03:03.1156035Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file 2025-12-04T09:03:03.1158568Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::CatTransform:0 2025-12-04T09:03:03.1160993Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file 2025-12-04T09:03:03.1163503Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::StackTransform:0 2025-12-04T09:03:03.1166166Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file 2025-12-04T09:03:03.1169066Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2025-12-04T09:03:03.1171575Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2025-12-04T09:03:03.1173829Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/uniform.py::Uniform:0 2025-12-04T09:03:03.1176040Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-12-04T09:03:03.1178329Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-12-04T09:03:03.1180590Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file 2025-12-04T09:03:03.1182883Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-12-04T09:03:03.1185103Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-12-04T09:03:03.1187355Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/weibull.py::Weibull:0 2025-12-04T09:03:03.1189550Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file 2025-12-04T09:03:03.1191801Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/wishart.py::Wishart:0 2025-12-04T09:03:03.1194064Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0, line 158 <- wrt source file 2025-12-04T09:03:03.1196474Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0 2025-12-04T09:03:03.1198804Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 123 <- wrt source file 2025-12-04T09:03:03.1201049Z * SKIPPED: 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/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-12-04T09:03:03.1987941Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file 2025-12-04T09:03:03.1997510Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-12-04T09:03:03.2000058Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file 2025-12-04T09:03:03.2008455Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding:0 2025-12-04T09:03:03.2010954Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file 2025-12-04T09:03:03.2049603Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding_bag:0 2025-12-04T09:03:03.2051728Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file 2025-12-04T09:03:03.2090465Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::ctc_loss:0 2025-12-04T09:03:03.2092757Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file 2025-12-04T09:03:03.2140372Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::nll_loss:0 2025-12-04T09:03:03.2142687Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file 2025-12-04T09:03:03.2161058Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::cross_entropy:0 2025-12-04T09:03:03.2163695Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3542 <- wrt source file 2025-12-04T09:03:03.2177420Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-12-04T09:03:03.2179853Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3613 <- wrt source file 2025-12-04T09:03:03.2193738Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-12-04T09:03:03.2195994Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file 2025-12-04T09:03:03.2206949Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::pad:0 2025-12-04T09:03:03.2209062Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-12-04T09:03:03.2262817Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_input:0 2025-12-04T09:03:03.2264961Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-12-04T09:03:03.2269708Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-12-04T09:03:03.2271906Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-12-04T09:03:03.2288867Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_input:0 2025-12-04T09:03:03.2291021Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-12-04T09:03:03.2295254Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-12-04T09:03:03.2297405Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-12-04T09:03:03.2345732Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_input:0 2025-12-04T09:03:03.2348817Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-12-04T09:03:03.2367447Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-12-04T09:03:03.2369957Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file 2025-12-04T09:03:03.2372309Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::calculate_gain:0 2025-12-04T09:03:03.2374385Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file 2025-12-04T09:03:03.2376566Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::uniform_:0 2025-12-04T09:03:03.2378785Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file 2025-12-04T09:03:03.2380875Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::normal_:0 2025-12-04T09:03:03.2382975Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file 2025-12-04T09:03:03.2395829Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::trunc_normal_:0 2025-12-04T09:03:03.2398005Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file 2025-12-04T09:03:03.2400327Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::constant_:0 2025-12-04T09:03:03.2402352Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file 2025-12-04T09:03:03.2404397Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::ones_:0 2025-12-04T09:03:03.2406407Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file 2025-12-04T09:03:03.2408430Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::zeros_:0 2025-12-04T09:03:03.2410410Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file 2025-12-04T09:03:03.2412512Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::eye_:0 2025-12-04T09:03:03.2414491Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file 2025-12-04T09:03:03.2418367Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::dirac_:0 2025-12-04T09:03:03.2420478Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file 2025-12-04T09:03:03.2422717Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-12-04T09:03:03.2424863Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file 2025-12-04T09:03:03.2427061Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_normal_:0 2025-12-04T09:03:03.2429259Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file 2025-12-04T09:03:03.2431508Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-12-04T09:03:03.2433699Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file 2025-12-04T09:03:03.2436006Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-12-04T09:03:03.2438198Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file 2025-12-04T09:03:03.2440521Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::orthogonal_:0 2025-12-04T09:03:03.2442594Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file 2025-12-04T09:03:03.2459500Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::sparse_:0 2025-12-04T09:03:03.2461856Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 124 <- wrt source file 2025-12-04T09:03:03.2464385Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-12-04T09:03:03.2467019Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0, line 47 <- wrt source file 2025-12-04T09:03:03.2469879Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0 2025-12-04T09:03:03.2472659Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0, line 78 <- wrt source file 2025-12-04T09:03:03.2475491Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0 2025-12-04T09:03:03.2478143Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2025-12-04T09:03:03.2480513Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-12-04T09:03:03.2482849Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/varlen.py::varlen_attn:0, line 166 <- wrt source file 2025-12-04T09:03:03.2485273Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/varlen.py::varlen_attn:0 2025-12-04T09:03:03.2487639Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-12-04T09:03:03.2490074Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-12-04T09:03:03.2492394Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-12-04T09:03:03.2494741Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-12-04T09:03:03.2497033Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-12-04T09:03:03.2499383Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-12-04T09:03:03.2501724Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-12-04T09:03:03.2504110Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-12-04T09:03:03.2506459Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-12-04T09:03:03.2508933Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-12-04T09:03:03.2511248Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-12-04T09:03:03.2513621Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-12-04T09:03:03.2516015Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-12-04T09:03:03.2518599Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-12-04T09:03:03.2521025Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-12-04T09:03:03.2523345Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-12-04T09:03:03.2525609Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-12-04T09:03:03.2533125Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-12-04T09:03:03.2535409Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-12-04T09:03:03.2542522Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Mish:0 2025-12-04T09:03:03.2544867Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-12-04T09:03:03.2553801Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-12-04T09:03:03.2556137Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-12-04T09:03:03.2559049Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ELU:0 2025-12-04T09:03:03.2561300Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-12-04T09:03:03.2564229Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::CELU:0 2025-12-04T09:03:03.2566518Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-12-04T09:03:03.2569252Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SELU:0 2025-12-04T09:03:03.2571533Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-12-04T09:03:03.2585930Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GLU:0 2025-12-04T09:03:03.2588189Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-12-04T09:03:03.2593743Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GELU:0 2025-12-04T09:03:03.2596109Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-12-04T09:03:03.2609296Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-12-04T09:03:03.2611891Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-12-04T09:03:03.2614355Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-12-04T09:03:03.2616761Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-12-04T09:03:03.2619397Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-12-04T09:03:03.2621772Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-12-04T09:03:03.2624277Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-12-04T09:03:03.2626679Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-12-04T09:03:03.2629175Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-12-04T09:03:03.2631710Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file 2025-12-04T09:03:03.2634363Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-12-04T09:03:03.2636825Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file 2025-12-04T09:03:03.2639273Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-12-04T09:03:03.2641795Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file 2025-12-04T09:03:03.2644214Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-12-04T09:03:03.2646584Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file 2025-12-04T09:03:03.2649057Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-12-04T09:03:03.2651427Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file 2025-12-04T09:03:03.2653829Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-12-04T09:03:03.2656390Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file 2025-12-04T09:03:03.2659180Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-12-04T09:03:03.2661938Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file 2025-12-04T09:03:03.2664538Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-12-04T09:03:03.2666947Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file 2025-12-04T09:03:03.2669433Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-12-04T09:03:03.2671930Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file 2025-12-04T09:03:03.2696990Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-12-04T09:03:03.2699388Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file 2025-12-04T09:03:03.2912516Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-12-04T09:03:03.2915404Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file 2025-12-04T09:03:03.5326161Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-12-04T09:03:03.5461360Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file 2025-12-04T09:03:03.5463939Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2025-12-04T09:03:03.5466683Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 857 <- wrt source file 2025-12-04T09:03:03.5469709Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2025-12-04T09:03:03.5472492Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-12-04T09:03:03.5494045Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-12-04T09:03:03.5496557Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-12-04T09:03:03.5499002Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential:0 2025-12-04T09:03:03.5501479Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 263 <- wrt source file 2025-12-04T09:03:03.5505099Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-12-04T09:03:03.5507646Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 286 <- wrt source file 2025-12-04T09:03:03.5513688Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-12-04T09:03:03.5516243Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 317 <- wrt source file 2025-12-04T09:03:03.5524130Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-12-04T09:03:03.5526600Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file 2025-12-04T09:03:03.5529089Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-12-04T09:03:03.5531401Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file 2025-12-04T09:03:03.5533803Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-12-04T09:03:03.5536510Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file 2025-12-04T09:03:03.5539537Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-12-04T09:03:03.5542551Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file 2025-12-04T09:03:03.5545168Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-12-04T09:03:03.5547557Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-12-04T09:03:03.5550787Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-12-04T09:03:03.5553582Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-12-04T09:03:03.5555999Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-12-04T09:03:03.5558461Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-12-04T09:03:03.5560689Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-12-04T09:03:03.5562941Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-12-04T09:03:03.5565660Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-12-04T09:03:03.5567923Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-12-04T09:03:03.5588914Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-12-04T09:03:03.5591466Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-12-04T09:03:03.5659897Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-12-04T09:03:03.5662497Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-12-04T09:03:03.5665142Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-12-04T09:03:03.5667517Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-12-04T09:03:03.5734188Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-12-04T09:03:03.5736839Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file 2025-12-04T09:03:03.5741873Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-12-04T09:03:03.5744047Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file 2025-12-04T09:03:03.5760273Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2025-12-04T09:03:03.5762511Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-12-04T09:03:03.5767443Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Fold:0 2025-12-04T09:03:03.5769619Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-12-04T09:03:03.5803680Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-12-04T09:03:03.5806098Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file 2025-12-04T09:03:03.5818244Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-12-04T09:03:03.5820939Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file 2025-12-04T09:03:03.5996608Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-12-04T09:03:03.5999732Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file 2025-12-04T09:03:03.8401894Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-12-04T09:03:03.8537279Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-12-04T09:03:03.8541517Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-12-04T09:03:03.8543852Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-12-04T09:03:03.8550754Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Identity:0 2025-12-04T09:03:03.8553236Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-12-04T09:03:03.8578416Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Linear:0 2025-12-04T09:03:03.8580976Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-12-04T09:03:03.8600443Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-12-04T09:03:03.8602783Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file 2025-12-04T09:03:03.8609388Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-12-04T09:03:03.8611580Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file 2025-12-04T09:03:03.8647649Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-12-04T09:03:03.8650236Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file 2025-12-04T09:03:03.8665978Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-12-04T09:03:03.8668357Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file 2025-12-04T09:03:03.8692373Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-12-04T09:03:03.8694609Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file 2025-12-04T09:03:03.8701755Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-12-04T09:03:03.8704242Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file 2025-12-04T09:03:03.8708977Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-12-04T09:03:03.8711235Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file 2025-12-04T09:03:03.8716492Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-12-04T09:03:03.8718807Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file 2025-12-04T09:03:03.8729896Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-12-04T09:03:03.8732220Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file 2025-12-04T09:03:03.8737149Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-12-04T09:03:03.8739850Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file 2025-12-04T09:03:03.8746912Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-12-04T09:03:03.8749289Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file 2025-12-04T09:03:03.8757263Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-12-04T09:03:03.8760011Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file 2025-12-04T09:03:03.8762543Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-12-04T09:03:03.8764874Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file 2025-12-04T09:03:03.8771631Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-12-04T09:03:03.8774157Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file 2025-12-04T09:03:03.8780951Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-12-04T09:03:03.8783259Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file 2025-12-04T09:03:03.8790389Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-12-04T09:03:03.8792692Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file 2025-12-04T09:03:03.8803306Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-12-04T09:03:03.8806029Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file 2025-12-04T09:03:03.8833817Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2025-12-04T09:03:03.8836525Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file 2025-12-04T09:03:03.8866956Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2025-12-04T09:03:03.8869244Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 554 <- wrt source file 2025-12-04T09:03:03.8871951Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-12-04T09:03:03.8874309Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1048 <- wrt source file 2025-12-04T09:03:03.8882466Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-12-04T09:03:03.8884661Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.to:0, line 1299 <- wrt source file 2025-12-04T09:03:03.8890947Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.to:0 2025-12-04T09:03:03.8893225Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2232 <- wrt source file 2025-12-04T09:03:03.8895625Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-12-04T09:03:03.8897994Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2678 <- wrt source file 2025-12-04T09:03:03.8900368Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-12-04T09:03:03.8902805Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2706 <- wrt source file 2025-12-04T09:03:03.8905319Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-12-04T09:03:03.8907697Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2733 <- wrt source file 2025-12-04T09:03:03.8910001Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-12-04T09:03:03.8912384Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2760 <- wrt source file 2025-12-04T09:03:03.8914811Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-12-04T09:03:03.8917244Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2791 <- wrt source file 2025-12-04T09:03:03.8919766Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-12-04T09:03:03.8922113Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2815 <- wrt source file 2025-12-04T09:03:03.8924432Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-12-04T09:03:03.8926855Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2853 <- wrt source file 2025-12-04T09:03:03.8929397Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-12-04T09:03:03.8931479Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-12-04T09:03:03.8953263Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-12-04T09:03:03.8956483Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-12-04T09:03:03.8985278Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-12-04T09:03:03.8987964Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-12-04T09:03:03.9010887Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-12-04T09:03:03.9013207Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file 2025-12-04T09:03:03.9016866Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-12-04T09:03:03.9019169Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-12-04T09:03:03.9024201Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-12-04T09:03:03.9026491Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file 2025-12-04T09:03:03.9046738Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-12-04T09:03:03.9049046Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file 2025-12-04T09:03:04.5156819Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-12-04T09:03:04.5407484Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file 2025-12-04T09:03:04.5418803Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-12-04T09:03:04.5421111Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file 2025-12-04T09:03:04.5426751Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-12-04T09:03:04.5429215Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file 2025-12-04T09:03:04.5451963Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-12-04T09:03:04.5454325Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file 2025-12-04T09:03:04.5470228Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-12-04T09:03:04.5473065Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file 2025-12-04T09:03:04.5486219Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-12-04T09:03:04.5488557Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file 2025-12-04T09:03:04.5498530Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-12-04T09:03:04.5501167Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file 2025-12-04T09:03:04.5505594Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-12-04T09:03:04.5507991Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file 2025-12-04T09:03:04.5525705Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-12-04T09:03:04.5528073Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file 2025-12-04T09:03:05.0516305Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-12-04T09:03:05.0761917Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file 2025-12-04T09:03:05.0773774Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-12-04T09:03:05.0775920Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file 2025-12-04T09:03:05.0782574Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-12-04T09:03:05.0784801Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file 2025-12-04T09:03:05.0807931Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-12-04T09:03:05.0810247Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-12-04T09:03:05.0816793Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-12-04T09:03:05.0819417Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-12-04T09:03:05.0825463Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-12-04T09:03:05.0828041Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-12-04T09:03:05.0843479Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-12-04T09:03:05.0845772Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-12-04T09:03:05.0910709Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-12-04T09:03:05.0913281Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-12-04T09:03:05.3150532Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-12-04T09:03:05.3203455Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-12-04T09:03:05.3218164Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-12-04T09:03:05.3220460Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file 2025-12-04T09:03:05.3241061Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2025-12-04T09:03:05.3243528Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-12-04T09:03:05.4020937Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-12-04T09:03:05.4023336Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-12-04T09:03:05.4038270Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-12-04T09:03:05.4040855Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-12-04T09:03:05.4078312Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-12-04T09:03:05.4080590Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-12-04T09:03:05.5636367Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-12-04T09:03:05.5683640Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-12-04T09:03:05.5732371Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-12-04T09:03:05.5734861Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-12-04T09:03:05.6418524Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-12-04T09:03:05.6421032Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file 2025-12-04T09:03:05.6427843Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-12-04T09:03:05.6430549Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file 2025-12-04T09:03:05.6481134Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-12-04T09:03:05.6484402Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file 2025-12-04T09:03:05.8546710Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-12-04T09:03:05.8598585Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file 2025-12-04T09:03:05.8614264Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-12-04T09:03:05.8616815Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file 2025-12-04T09:03:05.8625227Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-12-04T09:03:05.8627785Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file 2025-12-04T09:03:05.8653985Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-12-04T09:03:05.8656562Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file 2025-12-04T09:03:05.8667730Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-12-04T09:03:05.8670270Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file 2025-12-04T09:03:05.8677023Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-12-04T09:03:05.8679695Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file 2025-12-04T09:03:05.8702884Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-12-04T09:03:05.8705198Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file 2025-12-04T09:03:05.8717202Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-12-04T09:03:05.8722411Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file 2025-12-04T09:03:05.9127853Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-12-04T09:03:05.9130009Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file 2025-12-04T09:03:05.9144904Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-12-04T09:03:05.9147018Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file 2025-12-04T09:03:05.9170295Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-12-04T09:03:05.9172532Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file 2025-12-04T09:03:05.9189391Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-12-04T09:03:05.9191896Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file 2025-12-04T09:03:05.9204236Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-12-04T09:03:05.9206395Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-12-04T09:03:05.9220649Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-12-04T09:03:05.9223093Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file 2025-12-04T09:03:05.9227037Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-12-04T09:03:05.9229394Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file 2025-12-04T09:03:05.9243912Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2025-12-04T09:03:05.9246573Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 523 <- wrt source file 2025-12-04T09:03:05.9251441Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-12-04T09:03:05.9253934Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file 2025-12-04T09:03:06.7624316Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-12-04T09:03:06.7692834Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 267 <- wrt source file 2025-12-04T09:03:06.7695488Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2025-12-04T09:03:06.7698049Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file 2025-12-04T09:03:06.8823900Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-12-04T09:03:06.8829090Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file 2025-12-04T09:03:07.1312599Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-12-04T09:03:07.1322528Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file 2025-12-04T09:03:07.1613992Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-12-04T09:03:07.1617187Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file 2025-12-04T09:03:07.2166365Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-12-04T09:03:07.2169039Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-12-04T09:03:07.2220016Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-12-04T09:03:07.2222318Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-12-04T09:03:07.2234429Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-12-04T09:03:07.2237218Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-12-04T09:03:07.2245423Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-12-04T09:03:07.2247938Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 128 <- wrt source file 2025-12-04T09:03:07.2250473Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-12-04T09:03:07.2253051Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file 2025-12-04T09:03:07.2257027Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-12-04T09:03:07.2259627Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1451 <- wrt source file 2025-12-04T09:03:07.2262502Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-12-04T09:03:07.2265095Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1838 <- wrt source file 2025-12-04T09:03:07.2267829Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2025-12-04T09:03:07.2270779Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 2004 <- wrt source file 2025-12-04T09:03:07.2274041Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-12-04T09:03:07.2276935Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2014 <- wrt source file 2025-12-04T09:03:07.2279871Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-12-04T09:03:07.2282974Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2049 <- wrt source file 2025-12-04T09:03:07.2286199Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-12-04T09:03:07.2289454Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2107 <- wrt source file 2025-12-04T09:03:07.2292753Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2025-12-04T09:03:07.2295323Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2025-12-04T09:03:07.2297610Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2025-12-04T09:03:07.2299772Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2025-12-04T09:03:07.2301838Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/init.py::skip_init:0 2025-12-04T09:03:07.2304392Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 64 <- wrt source file 2025-12-04T09:03:07.2306910Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2025-12-04T09:03:07.2308435Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 143 <- wrt source file 2025-12-04T09:03:07.2309967Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2025-12-04T09:03:07.2311500Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file 2025-12-04T09:03:07.2312850Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-12-04T09:03:07.2314164Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 362 <- wrt source file 2025-12-04T09:03:07.2315702Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-12-04T09:03:07.2317041Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 593 <- wrt source file 2025-12-04T09:03:07.2318502Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-12-04T09:03:07.2319747Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file 2025-12-04T09:03:07.2320914Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::identity:0 2025-12-04T09:03:07.2322126Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 888 <- wrt source file 2025-12-04T09:03:07.2323661Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-12-04T09:03:07.2325741Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 931 <- wrt source file 2025-12-04T09:03:07.2328206Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-12-04T09:03:07.2330592Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_structured:0, line 971 <- wrt source file 2025-12-04T09:03:07.2332876Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-12-04T09:03:07.2335000Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1017 <- wrt source file 2025-12-04T09:03:07.2337111Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::ln_structured:0 2025-12-04T09:03:07.2339080Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1072 <- wrt source file 2025-12-04T09:03:07.2349724Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2025-12-04T09:03:07.2352067Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1175 <- wrt source file 2025-12-04T09:03:07.2361475Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2025-12-04T09:03:07.2368896Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file 2025-12-04T09:03:07.2371032Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::remove:0 2025-12-04T09:03:07.2373066Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1231 <- wrt source file 2025-12-04T09:03:07.2379907Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-12-04T09:03:07.2382679Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 359 <- wrt source file 2025-12-04T09:03:07.2396470Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2025-12-04T09:03:07.2398817Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file 2025-12-04T09:03:07.2404382Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-12-04T09:03:07.2406661Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file 2025-12-04T09:03:07.2420926Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-12-04T09:03:07.2423495Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file 2025-12-04T09:03:07.2431243Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-12-04T09:03:07.2433498Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file 2025-12-04T09:03:07.2451013Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-12-04T09:03:07.2453227Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file 2025-12-04T09:03:07.2460783Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-12-04T09:03:07.2463315Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 347 <- wrt source file 2025-12-04T09:03:07.2474687Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-12-04T09:03:07.2477558Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 193 <- wrt source file 2025-12-04T09:03:07.2480137Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-12-04T09:03:07.2482428Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file 2025-12-04T09:03:07.2497468Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-12-04T09:03:07.2499702Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file 2025-12-04T09:03:07.2504661Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-12-04T09:03:07.2507465Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2025-12-04T09:03:07.2510201Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-12-04T09:03:07.2513192Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file 2025-12-04T09:03:07.2516605Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2025-12-04T09:03:07.2519595Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file 2025-12-04T09:03:07.2521927Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-12-04T09:03:07.2524312Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file 2025-12-04T09:03:07.2526858Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-12-04T09:03:07.2529184Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file 2025-12-04T09:03:07.2531470Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-12-04T09:03:07.2533783Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file 2025-12-04T09:03:07.2536182Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-12-04T09:03:07.2538504Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file 2025-12-04T09:03:07.2541148Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-12-04T09:03:07.2543452Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file 2025-12-04T09:03:07.2545767Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-12-04T09:03:07.2548126Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file 2025-12-04T09:03:07.2550610Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-12-04T09:03:07.2552996Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file 2025-12-04T09:03:07.2555438Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2025-12-04T09:03:07.2557824Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file 2025-12-04T09:03:07.2560249Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-12-04T09:03:07.2562692Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file 2025-12-04T09:03:07.2565393Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-12-04T09:03:07.2567881Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file 2025-12-04T09:03:07.2570395Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-12-04T09:03:07.2572787Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file 2025-12-04T09:03:07.2575130Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2025-12-04T09:03:07.2577792Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file 2025-12-04T09:03:07.2580593Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0 2025-12-04T09:03:07.2583417Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 2211 <- wrt source file 2025-12-04T09:03:07.2586326Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-12-04T09:03:07.2589186Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 2227 <- wrt source file 2025-12-04T09:03:07.2592093Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-12-04T09:03:07.2594658Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file 2025-12-04T09:03:07.2597035Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2025-12-04T09:03:07.2599555Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0, line 900 <- wrt source file 2025-12-04T09:03:07.2602177Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0 2025-12-04T09:03:07.2604628Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file 2025-12-04T09:03:07.2606999Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:0 2025-12-04T09:03:07.2609325Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file 2025-12-04T09:03:07.2611690Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:1 2025-12-04T09:03:07.2613945Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::update_bn:0, line 350 <- wrt source file 2025-12-04T09:03:07.2616212Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::update_bn:0 2025-12-04T09:03:07.2618407Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file 2025-12-04T09:03:07.2620602Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::SWALR:0 2025-12-04T09:03:07.2622819Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file 2025-12-04T09:03:07.2625232Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/package/glob_group.py::GlobGroup:0 2025-12-04T09:03:07.2627927Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 317 <- wrt source file 2025-12-04T09:03:07.2630942Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0 2025-12-04T09:03:07.2633530Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/profiler/profiler.py::profile:0, line 659 <- wrt source file 2025-12-04T09:03:07.2635824Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/profiler/profiler.py::profile:0 2025-12-04T09:03:07.2638452Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 342 <- wrt source file 2025-12-04T09:03:07.2641364Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-12-04T09:03:07.2643916Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file 2025-12-04T09:03:07.2646348Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_comparison.py::assert_close:0 2025-12-04T09:03:07.2648685Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-12-04T09:03:07.2651030Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_creation.py::make_tensor:0 2025-12-04T09:03:07.2653495Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 648 <- wrt source file 2025-12-04T09:03:07.2656177Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::parametrize:0 2025-12-04T09:03:07.2658795Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0, line 769 <- wrt source file 2025-12-04T09:03:07.2661491Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0 2025-12-04T09:03:07.2664084Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 858 <- wrt source file 2025-12-04T09:03:07.2666721Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0 2025-12-04T09:03:07.2669467Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4839 <- wrt source file 2025-12-04T09:03:07.2672422Z * SKIPPED: 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194 <- wrt source file 2025-12-04T09:03:07.2689675Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0 2025-12-04T09:03:07.2692404Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file 2025-12-04T09:03:07.2695251Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0 2025-12-04T09:03:07.2698389Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 341 <- wrt source file 2025-12-04T09:03:07.2701693Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0 2025-12-04T09:03:07.2704937Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file 2025-12-04T09:03:07.2708295Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0 2025-12-04T09:03:07.2711135Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0, line 159 <- wrt source file 2025-12-04T09:03:07.2713642Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0 2025-12-04T09:03:07.2716017Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 316 <- wrt source file 2025-12-04T09:03:07.2718420Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0 2025-12-04T09:03:07.2720716Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 359 <- wrt source file 2025-12-04T09:03:07.2723039Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-12-04T09:03:07.2725354Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 396 <- wrt source file 2025-12-04T09:03:07.2727740Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-12-04T09:03:07.2730015Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 429 <- wrt source file 2025-12-04T09:03:07.2732286Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-12-04T09:03:07.2734534Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 464 <- wrt source file 2025-12-04T09:03:07.2736863Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-12-04T09:03:07.2739190Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 499 <- wrt source file 2025-12-04T09:03:07.2741706Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-12-04T09:03:07.2743990Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 536 <- wrt source file 2025-12-04T09:03:07.2746359Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-12-04T09:03:07.2748689Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 929 <- wrt source file 2025-12-04T09:03:07.2751144Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-12-04T09:03:07.2753527Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file 2025-12-04T09:03:07.2756533Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-12-04T09:03:07.2758937Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file 2025-12-04T09:03:07.2761338Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_constant:0 2025-12-04T09:03:07.2763642Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1058 <- wrt source file 2025-12-04T09:03:07.2765918Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-12-04T09:03:07.2768118Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file 2025-12-04T09:03:07.2770306Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_map:0 2025-12-04T09:03:07.2772829Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 71 <- wrt source file 2025-12-04T09:03:07.2775717Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-12-04T09:03:07.2778698Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 382 <- wrt source file 2025-12-04T09:03:07.2781868Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2025-12-04T09:03:07.2800615Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file 2025-12-04T09:03:07.2803356Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2025-12-04T09:03:07.2806179Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1421 <- wrt source file 2025-12-04T09:03:07.2809088Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2025-12-04T09:03:07.2811708Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file 2025-12-04T09:03:07.2814163Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2025-12-04T09:03:07.2816580Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file 2025-12-04T09:03:07.2819134Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2025-12-04T09:03:07.2821566Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file 2025-12-04T09:03:07.2824015Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2025-12-04T09:03:07.2826435Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file 2025-12-04T09:03:07.2828891Z * SKIPPED: 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2025-12-04T09:03:07.2845359Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file 2025-12-04T09:03:07.2848163Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2025-12-04T09:03:07.2850957Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 742 <- wrt source file 2025-12-04T09:03:07.3169411Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-12-04T09:03:07.3172049Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-12-04T09:03:07.3177009Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-12-04T09:03:07.3180153Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file 2025-12-04T09:03:07.3182582Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-12-04T09:03:07.3185126Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::random_split:0, line 438 <- wrt source file 2025-12-04T09:03:07.3187553Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::random_split:0 2025-12-04T09:03:07.3190084Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file 2025-12-04T09:03:07.3192782Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2025-12-04T09:03:07.3195315Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file 2025-12-04T09:03:07.3197672Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-12-04T09:03:07.3200145Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file 2025-12-04T09:03:07.3202825Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-12-04T09:03:07.3205325Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file 2025-12-04T09:03:07.3207746Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-12-04T09:03:07.3210213Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2025-12-04T09:03:07.3212819Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-12-04T09:03:07.3215307Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2025-12-04T09:03:07.3217728Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-12-04T09:03:07.3220199Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 367 <- wrt source file 2025-12-04T09:03:07.3222831Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-12-04T09:03:07.3225462Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file 2025-12-04T09:03:07.3228188Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-12-04T09:03:07.3230816Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 269 <- wrt source file 2025-12-04T09:03:07.3233524Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-12-04T09:03:07.3236325Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file 2025-12-04T09:03:07.3239411Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-12-04T09:03:07.3242614Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 202 <- wrt source file 2025-12-04T09:03:07.3245776Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-12-04T09:03:07.3248836Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file 2025-12-04T09:03:07.3252005Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:03:07.3255044Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file 2025-12-04T09:03:07.3258216Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0 2025-12-04T09:03:07.3261199Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 89 <- wrt source file 2025-12-04T09:03:07.3264156Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0 2025-12-04T09:03:07.3267046Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 308 <- wrt source file 2025-12-04T09:03:07.3269940Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0 2025-12-04T09:03:07.3272948Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 397 <- wrt source file 2025-12-04T09:03:07.3276172Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2025-12-04T09:03:07.3279340Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 615 <- wrt source file 2025-12-04T09:03:07.3282461Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2025-12-04T09:03:07.3285468Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 685 <- wrt source file 2025-12-04T09:03:07.3288450Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2025-12-04T09:03:07.3291488Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 29 <- wrt source file 2025-12-04T09:03:07.3294630Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-12-04T09:03:07.3297657Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 33 <- wrt source file 2025-12-04T09:03:07.3300796Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-12-04T09:03:07.3303783Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 41 <- wrt source file 2025-12-04T09:03:07.3306786Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0 2025-12-04T09:03:07.3309840Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 102 <- wrt source file 2025-12-04T09:03:07.3312886Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0 2025-12-04T09:03:07.3315855Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0, line 169 <- wrt source file 2025-12-04T09:03:07.3318892Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0 2025-12-04T09:03:07.3321837Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file 2025-12-04T09:03:07.3324958Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-12-04T09:03:07.3328029Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 24 <- wrt source file 2025-12-04T09:03:07.3331232Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-12-04T09:03:07.3334335Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file 2025-12-04T09:03:07.3337451Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-12-04T09:03:07.3340543Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 36 <- wrt source file 2025-12-04T09:03:07.3343498Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-12-04T09:03:07.3346488Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file 2025-12-04T09:03:07.3349623Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:03:07.3352633Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file 2025-12-04T09:03:07.3355633Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0 2025-12-04T09:03:07.3358563Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 76 <- wrt source file 2025-12-04T09:03:07.3361539Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0 2025-12-04T09:03:07.3364437Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file 2025-12-04T09:03:07.3367379Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0 2025-12-04T09:03:07.3370354Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 29 <- wrt source file 2025-12-04T09:03:07.3373523Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-12-04T09:03:07.3376451Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file 2025-12-04T09:03:07.3379357Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-12-04T09:03:07.3382190Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2025-12-04T09:03:07.3385016Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-12-04T09:03:07.3387824Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2025-12-04T09:03:07.5629914Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-12-04T09:03:07.5632017Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2025-12-04T09:03:07.5634065Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-12-04T09:03:07.5635794Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 217 <- wrt source file 2025-12-04T09:03:07.5638132Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-12-04T09:03:07.5641031Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 322 <- wrt source file 2025-12-04T09:03:07.5643788Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-12-04T09:03:07.5646228Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 370 <- wrt source file 2025-12-04T09:03:07.5647699Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-12-04T09:03:07.5649922Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 402 <- wrt source file 2025-12-04T09:03:07.5651478Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-12-04T09:03:07.5652921Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 450 <- wrt source file 2025-12-04T09:03:07.5654375Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-12-04T09:03:07.5655921Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 489 <- wrt source file 2025-12-04T09:03:07.5657429Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-12-04T09:03:07.5659718Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 542 <- wrt source file 2025-12-04T09:03:07.5662518Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2025-12-04T09:03:07.5665001Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 608 <- wrt source file 2025-12-04T09:03:07.5667355Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2025-12-04T09:03:07.5669844Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 657 <- wrt source file 2025-12-04T09:03:07.5672376Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2025-12-04T09:03:07.5675087Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 820 <- wrt source file 2025-12-04T09:03:07.5676648Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-12-04T09:03:07.5678446Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 887 <- wrt source file 2025-12-04T09:03:07.5680132Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-12-04T09:03:07.5681903Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 998 <- wrt source file 2025-12-04T09:03:07.5683554Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-12-04T09:03:07.5685459Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1072 <- wrt source file 2025-12-04T09:03:07.5687530Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-12-04T09:03:07.5689191Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1093 <- wrt source file 2025-12-04T09:03:07.5690867Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-12-04T09:03:07.5692450Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1118 <- wrt source file 2025-12-04T09:03:07.5694011Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-12-04T09:03:07.5695488Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1164 <- wrt source file 2025-12-04T09:03:07.5697003Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-12-04T09:03:07.5697767Z ============ 2025-12-04T09:03:07.5698024Z Finished doctests 2025-12-04T09:03:07.5698255Z 378 / 894 passed 2025-12-04T09:03:07.5698493Z  2025-12-04T09:03:07.5698774Z === Found 17 parse-time warnings === 2025-12-04T09:03:07.5699196Z --- Parse Warning: 1 / 17 --- 2025-12-04T09:03:07.5700566Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=368. 2025-12-04T09:03:07.5701900Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.5702502Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:03:07.5702948Z 2025-12-04T09:03:07.5703282Z This function only works for a library with global namespace ("_"). 2025-12-04T09:03:07.5703691Z 2025-12-04T09:03:07.5703887Z Args: 2025-12-04T09:03:07.5704305Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:03:07.5704813Z to register a fallthrough. 2025-12-04T09:03:07.5705362Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:03:07.5706030Z the dispatch key that the library was created with. 2025-12-04T09:03:07.5706685Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:03:07.5707492Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:03:07.5708016Z 2025-12-04T09:03:07.5708220Z Example:: 2025-12-04T09:03:07.5708442Z 2025-12-04T09:03:07.5708663Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:03:07.5709022Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:03:07.5709401Z >>> # Handle all autocast ops generically 2025-12-04T09:03:07.5709726Z >>> # ... 2025-12-04T09:03:07.5710060Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:03:07.5710398Z 2025-12-04T09:03:07.5711167Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:03:07.5712002Z 2025-12-04T09:03:07.5712254Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:03:07.5712570Z ^ 2025-12-04T09:03:07.5712786Z warnings.warn(msg) 2025-12-04T09:03:07.5713036Z 2025-12-04T09:03:07.5713323Z --- Parse Warning: 2 / 17 --- 2025-12-04T09:03:07.5714408Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=958. 2025-12-04T09:03:07.5715620Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.5716223Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:03:07.5716648Z 2025-12-04T09:03:07.5716941Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:03:07.5717322Z 2025-12-04T09:03:07.5717741Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:03:07.5718339Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:03:07.5718923Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:03:07.5719434Z what the properties of the output Tensors are. 2025-12-04T09:03:07.5719759Z 2025-12-04T09:03:07.5720105Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:03:07.5720662Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:03:07.5721196Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:03:07.5721738Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:03:07.5722270Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:03:07.5722815Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:03:07.5723436Z (and may not directly access the storage or data of any input or 2025-12-04T09:03:07.5723938Z intermediate Tensors). 2025-12-04T09:03:07.5724208Z 2025-12-04T09:03:07.5724457Z This API may be used as a decorator (see examples). 2025-12-04T09:03:07.5724806Z 2025-12-04T09:03:07.5725056Z For a detailed guide on custom ops, please see 2025-12-04T09:03:07.5725542Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:03:07.5725980Z 2025-12-04T09:03:07.5726173Z Args: 2025-12-04T09:03:07.5726514Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:03:07.5726978Z func: Fake tensor implementation. 2025-12-04T09:03:07.5727500Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:03:07.5728002Z allow_override: Flag controlling if we want to override an 2025-12-04T09:03:07.5728506Z existing registered fake impl. This is by default off, 2025-12-04T09:03:07.5729183Z and will error you're trying to register a fake impl to 2025-12-04T09:03:07.5729714Z an operator that already has a fake impl. This also only 2025-12-04T09:03:07.5730165Z applies if the custom operator was not created via 2025-12-04T09:03:07.5730637Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:03:07.5731070Z impl is already allowed. 2025-12-04T09:03:07.5731383Z 2025-12-04T09:03:07.5731566Z Examples: 2025-12-04T09:03:07.5731803Z >>> import torch 2025-12-04T09:03:07.5732081Z >>> import numpy as np 2025-12-04T09:03:07.5732377Z >>> from torch import Tensor 2025-12-04T09:03:07.5732674Z >>> 2025-12-04T09:03:07.5732998Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:03:07.5733514Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:03:07.5734070Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:03:07.5734591Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:03:07.5734973Z >>> 2025-12-04T09:03:07.5735268Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:03:07.5735652Z >>> def _(x, weight, bias): 2025-12-04T09:03:07.5735961Z >>> assert x.dim() == 2 2025-12-04T09:03:07.5736265Z >>> assert weight.dim() == 2 2025-12-04T09:03:07.5736585Z >>> assert bias.dim() == 1 2025-12-04T09:03:07.5736923Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:03:07.5737287Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:03:07.5737656Z >>> assert x.device == weight.device 2025-12-04T09:03:07.5737973Z >>> 2025-12-04T09:03:07.5738206Z >>> return (x @ weight.t()) + bias 2025-12-04T09:03:07.5738520Z >>> 2025-12-04T09:03:07.5738824Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:03:07.5739216Z >>> x = torch.randn(2, 3) 2025-12-04T09:03:07.5739518Z >>> w = torch.randn(3, 3) 2025-12-04T09:03:07.5739828Z >>> b = torch.randn(3) 2025-12-04T09:03:07.5740359Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:03:07.5740685Z >>> 2025-12-04T09:03:07.5740920Z >>> assert y.shape == (2, 3) 2025-12-04T09:03:07.5741213Z >>> 2025-12-04T09:03:07.5741505Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:03:07.5742024Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:03:07.5742495Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:03:07.5742848Z >>> x_np = x.numpy(force=True) 2025-12-04T09:03:07.5743337Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:03:07.5743727Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:03:07.5744060Z >>> 2025-12-04T09:03:07.5744355Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:03:07.5744753Z >>> def _(x): 2025-12-04T09:03:07.5745140Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:03:07.5745624Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:03:07.5746057Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:03:07.5746460Z >>> # represents the data-dependent size. 2025-12-04T09:03:07.5746906Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:03:07.5747240Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:03:07.5747576Z >>> shape = [nnz, x.dim()] 2025-12-04T09:03:07.5747982Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:03:07.5748380Z >>> return result 2025-12-04T09:03:07.5748715Z >>> 2025-12-04T09:03:07.5749030Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:03:07.5749398Z >>> 2025-12-04T09:03:07.5749649Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:03:07.5750127Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:03:07.5750606Z >>> trace.print_readable() 2025-12-04T09:03:07.5750889Z >>> 2025-12-04T09:03:07.5751249Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:03:07.5751686Z 2025-12-04T09:03:07.5751873Z 2025-12-04T09:03:07.5752530Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:03:07.5753266Z 2025-12-04T09:03:07.5753449Z _._ = None 2025-12-04T09:03:07.5753669Z ^ 2025-12-04T09:03:07.5753886Z warnings.warn(msg) 2025-12-04T09:03:07.5754126Z 2025-12-04T09:03:07.5754479Z --- Parse Warning: 3 / 17 --- 2025-12-04T09:03:07.5755565Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=1530. 2025-12-04T09:03:07.5756770Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.5757421Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:03:07.5757834Z 2025-12-04T09:03:07.5758174Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:03:07.5758744Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:03:07.5759295Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:03:07.5759825Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:03:07.5760375Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:03:07.5760865Z that calls into the original kernel for certain cases. 2025-12-04T09:03:07.5761219Z 2025-12-04T09:03:07.5761413Z Args: 2025-12-04T09:03:07.5761727Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:03:07.5762274Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:03:07.5762881Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:03:07.5763452Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:03:07.5763833Z 2025-12-04T09:03:07.5764033Z Returns: 2025-12-04T09:03:07.5764413Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:03:07.5764996Z call the kernel. 2025-12-04T09:03:07.5765266Z 2025-12-04T09:03:07.5765461Z Raises: 2025-12-04T09:03:07.5765732Z RuntimeError: If the operator does not exist. 2025-12-04T09:03:07.5766074Z 2025-12-04T09:03:07.5766270Z Example: 2025-12-04T09:03:07.5766514Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:03:07.5766944Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:03:07.5767339Z >>> 2025-12-04T09:03:07.5767591Z >>> # You can also use DispatchKey enum 2025-12-04T09:03:07.5768074Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:03:07.5768597Z >>> 2025-12-04T09:03:07.5768845Z >>> # Or use an OpOverload directly 2025-12-04T09:03:07.5769286Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:03:07.5769720Z >>> 2025-12-04T09:03:07.5770076Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:03:07.5770545Z >>> # Get the original kernel for torch.sin 2025-12-04T09:03:07.5770988Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:03:07.5771406Z >>> 2025-12-04T09:03:07.5771763Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:03:07.5772238Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:03:07.5772589Z >>> if (x < 0).any(): 2025-12-04T09:03:07.5772971Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:03:07.5773354Z >>> else: 2025-12-04T09:03:07.5773630Z >>> return torch.zeros_like(x) 2025-12-04T09:03:07.5773940Z >>> 2025-12-04T09:03:07.5774208Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:03:07.5774713Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:03:07.5775364Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:03:07.5775863Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:03:07.5776245Z >>> 2025-12-04T09:03:07.5776496Z >>> # Test the conditional behavior 2025-12-04T09:03:07.5776851Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:03:07.5777204Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:03:07.5777526Z >>> torch.sin(x_positive) 2025-12-04T09:03:07.5777828Z tensor([0., 0.]) 2025-12-04T09:03:07.5778100Z >>> torch.sin(x_mixed) 2025-12-04T09:03:07.5778380Z tensor([-0.8415, 0.9093]) 2025-12-04T09:03:07.5778657Z 2025-12-04T09:03:07.5779262Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:03:07.5779925Z 2025-12-04T09:03:07.5780219Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:03:07.5780599Z ^ 2025-12-04T09:03:07.5780805Z warnings.warn(msg) 2025-12-04T09:03:07.5781050Z 2025-12-04T09:03:07.5781372Z --- Parse Warning: 4 / 17 --- 2025-12-04T09:03:07.5782508Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T09:03:07.5783872Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.5784489Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:03:07.5785091Z required drivers are available and at least one device is visible. 2025-12-04T09:03:07.5785666Z See :ref:`accelerator` for details. 2025-12-04T09:03:07.5785998Z 2025-12-04T09:03:07.5786195Z Returns: 2025-12-04T09:03:07.5786613Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:03:07.5787080Z 2025-12-04T09:03:07.5787434Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:03:07.5788066Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:03:07.5788702Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:03:07.5789203Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:03:07.5789604Z 2025-12-04T09:03:07.5789804Z Example:: 2025-12-04T09:03:07.5790015Z 2025-12-04T09:03:07.5790398Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:03:07.5790874Z 2025-12-04T09:03:07.5791554Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:03:07.5792320Z 2025-12-04T09:03:07.5792698Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:03:07.5793183Z ^ 2025-12-04T09:03:07.5793484Z warnings.warn(msg) 2025-12-04T09:03:07.5793739Z 2025-12-04T09:03:07.5794040Z --- Parse Warning: 5 / 17 --- 2025-12-04T09:03:07.5795174Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:03:07.5796446Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.5797028Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:03:07.5797515Z 2025-12-04T09:03:07.5797699Z Args: 2025-12-04T09:03:07.5798152Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:03:07.5798829Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:03:07.5799369Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:03:07.5799768Z 2025-12-04T09:03:07.5800196Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:03:07.5800707Z 2025-12-04T09:03:07.5800890Z Example:: 2025-12-04T09:03:07.5801110Z 2025-12-04T09:03:07.5801357Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:03:07.5801866Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:03:07.5802405Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:03:07.5802803Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:03:07.5803146Z >>> start_event.record() 2025-12-04T09:03:07.5803589Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:03:07.5804058Z >>> sum = torch.sum(tensor) 2025-12-04T09:03:07.5804372Z >>> end_event.record() 2025-12-04T09:03:07.5804687Z >>> torch.accelerator.synchronize() 2025-12-04T09:03:07.5805094Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:03:07.5805466Z 2025-12-04T09:03:07.5806140Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:03:07.5806904Z 2025-12-04T09:03:07.5807277Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:03:07.5807877Z ^ 2025-12-04T09:03:07.5808174Z warnings.warn(msg) 2025-12-04T09:03:07.5808424Z 2025-12-04T09:03:07.5808722Z --- Parse Warning: 6 / 17 --- 2025-12-04T09:03:07.5809791Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:03:07.5810995Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.5811481Z Retrieves the CUDA runtime API module. 2025-12-04T09:03:07.5811778Z 2025-12-04T09:03:07.5811972Z 2025-12-04T09:03:07.5812389Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:03:07.5812995Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:03:07.5813563Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:03:07.5813992Z 2025-12-04T09:03:07.5814186Z Args: 2025-12-04T09:03:07.5814392Z ``None`` 2025-12-04T09:03:07.5814617Z 2025-12-04T09:03:07.5814810Z Returns: 2025-12-04T09:03:07.5815077Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:03:07.5815413Z 2025-12-04T09:03:07.5815603Z Raises: 2025-12-04T09:03:07.5815955Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:03:07.5816665Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:03:07.5817229Z 2025-12-04T09:03:07.5817473Z Example of CUDA operations with profiling: 2025-12-04T09:03:07.5817805Z >>> import torch 2025-12-04T09:03:07.5818113Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:03:07.5818451Z >>> import os 2025-12-04T09:03:07.5818685Z >>> 2025-12-04T09:03:07.5818935Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:03:07.5819247Z >>> 2025-12-04T09:03:07.5819502Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:03:07.5819868Z >>> stream = torch.cuda.Stream() 2025-12-04T09:03:07.5820215Z >>> with torch.cuda.stream(stream): 2025-12-04T09:03:07.5820562Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:03:07.5820928Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:03:07.5821270Z >>> z = torch.mul(x, y) 2025-12-04T09:03:07.5821572Z >>> return z 2025-12-04T09:03:07.5821812Z >>> 2025-12-04T09:03:07.5822058Z >>> torch.cuda.synchronize() 2025-12-04T09:03:07.5822405Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:03:07.5822778Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:03:07.5823171Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:03:07.5823586Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:03:07.5823972Z >>> print("CUDA operations completed.") 2025-12-04T09:03:07.5824380Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:03:07.5824795Z >>> print("====== End nsys profiling ======") 2025-12-04T09:03:07.5825123Z 2025-12-04T09:03:07.5825421Z To run this example and save the profiling information, execute: 2025-12-04T09:03:07.5826105Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:03:07.5826660Z 2025-12-04T09:03:07.5827006Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:03:07.5827567Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:03:07.5828113Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:03:07.5828682Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:03:07.5829164Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:03:07.5829646Z CSV file and print a summary, respectively. 2025-12-04T09:03:07.5830142Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:03:07.5830653Z overwrite of the output file if it already exists. 2025-12-04T09:03:07.5831008Z 2025-12-04T09:03:07.5831779Z 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)) 2025-12-04T09:03:07.5832693Z 2025-12-04T09:03:07.5833145Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:03:07.5833708Z ^ 2025-12-04T09:03:07.5833922Z warnings.warn(msg) 2025-12-04T09:03:07.5834161Z 2025-12-04T09:03:07.5834472Z --- Parse Warning: 7 / 17 --- 2025-12-04T09:03:07.5835554Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:03:07.5836747Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.5837206Z 2025-12-04T09:03:07.5837622Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:03:07.5838172Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:03:07.5838704Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:03:07.5839153Z vectorizing those operations. 2025-12-04T09:03:07.5839436Z 2025-12-04T09:03:07.5839748Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:03:07.5840490Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:03:07.5841028Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:03:07.5841539Z compute batched gradients when composed with autograd. 2025-12-04T09:03:07.5841890Z 2025-12-04T09:03:07.5842092Z .. note:: 2025-12-04T09:03:07.5842406Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:03:07.5842822Z convenience. Use whichever one you'd like. 2025-12-04T09:03:07.5843144Z 2025-12-04T09:03:07.5843340Z Args: 2025-12-04T09:03:07.5843654Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:03:07.5844105Z Must return one or more Tensors. 2025-12-04T09:03:07.5844526Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:03:07.5845009Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:03:07.5845500Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:03:07.5845997Z input is None, then that indicates there is no map dimension. 2025-12-04T09:03:07.5846398Z Default: 0. 2025-12-04T09:03:07.5846740Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:03:07.5847253Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:03:07.5847721Z it should have one element per output. Default: 0. 2025-12-04T09:03:07.5848171Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:03:07.5848685Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:03:07.5849219Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:03:07.5849750Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:03:07.5850280Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:03:07.5850933Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:03:07.5851398Z Python's random module or numpy randomness. 2025-12-04T09:03:07.5851860Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:03:07.5852435Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:03:07.5853047Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:03:07.5853703Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:03:07.5854165Z 2025-12-04T09:03:07.5854429Z Returns: 2025-12-04T09:03:07.5854758Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:03:07.5855242Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:03:07.5855746Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:03:07.5856245Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:03:07.5856654Z specified by ``out_dims``. 2025-12-04T09:03:07.5856921Z 2025-12-04T09:03:07.5857114Z .. warning: 2025-12-04T09:03:07.5857447Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:03:07.5857938Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:03:07.5858476Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:03:07.5859056Z Python data structures and assigning values to variables not captured 2025-12-04T09:03:07.5859483Z in ``func``. 2025-12-04T09:03:07.5859709Z 2025-12-04T09:03:07.5860051Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:03:07.5860627Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:03:07.5861180Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:03:07.5861601Z 2025-12-04T09:03:07.5861813Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:03:07.5862215Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:03:07.5862660Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:03:07.5862998Z >>> batched_dot(x, y) 2025-12-04T09:03:07.5863244Z 2025-12-04T09:03:07.5863577Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:03:07.5864028Z model authoring experience. 2025-12-04T09:03:07.5864286Z 2025-12-04T09:03:07.5864505Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:03:07.5864904Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:03:07.5865275Z >>> 2025-12-04T09:03:07.5865483Z >>> def model(feature_vec): 2025-12-04T09:03:07.5865811Z >>> # Very simple linear model with activation 2025-12-04T09:03:07.5866188Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:03:07.5866496Z >>> 2025-12-04T09:03:07.5866772Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:03:07.5867160Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:03:07.5867465Z 2025-12-04T09:03:07.5867832Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:03:07.5868444Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:03:07.5869029Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:03:07.5869594Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:03:07.5870194Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:03:07.5870799Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:03:07.5871248Z call to ``autograd.grad``. 2025-12-04T09:03:07.5871579Z 2025-12-04T09:03:07.5871794Z >>> # Setup 2025-12-04T09:03:07.5872014Z >>> N = 5 2025-12-04T09:03:07.5872251Z >>> f = lambda x: x**2 2025-12-04T09:03:07.5872558Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:03:07.5872872Z >>> y = f(x) 2025-12-04T09:03:07.5873120Z >>> I_N = torch.eye(N) 2025-12-04T09:03:07.5873385Z >>> 2025-12-04T09:03:07.5873616Z >>> # Sequential approach 2025-12-04T09:03:07.5874018Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:03:07.5874475Z >>> for v in I_N.unbind()] 2025-12-04T09:03:07.5874882Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:03:07.5875193Z >>> 2025-12-04T09:03:07.5875442Z >>> # vectorized gradient computation 2025-12-04T09:03:07.5875856Z >>> def get_vjp(v): 2025-12-04T09:03:07.5876141Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:03:07.5876566Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:03:07.5876889Z 2025-12-04T09:03:07.5877253Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:03:07.5877797Z 2025-12-04T09:03:07.5878012Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:03:07.5878333Z >>> batched_dot = torch.vmap( 2025-12-04T09:03:07.5878635Z ... torch.vmap(torch.dot) 2025-12-04T09:03:07.5878955Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:03:07.5879322Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:03:07.5879689Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:03:07.5880012Z 2025-12-04T09:03:07.5880362Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:03:07.5880869Z the dimension that each inputs are batched along as 2025-12-04T09:03:07.5881211Z 2025-12-04T09:03:07.5881427Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:03:07.5881844Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:03:07.5882315Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:03:07.5882648Z >>> batched_dot( 2025-12-04T09:03:07.5882896Z ... x, y 2025-12-04T09:03:07.5883221Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:03:07.5883609Z 2025-12-04T09:03:07.5883982Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:03:07.5884554Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:03:07.5884958Z 2025-12-04T09:03:07.5885169Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:03:07.5885600Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:03:07.5886078Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:03:07.5886407Z >>> batched_dot( 2025-12-04T09:03:07.5886652Z ... x, y 2025-12-04T09:03:07.5886976Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:03:07.5887366Z 2025-12-04T09:03:07.5887712Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:03:07.5888170Z matching the shape of the input: 2025-12-04T09:03:07.5888462Z 2025-12-04T09:03:07.5888714Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:03:07.5889079Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:03:07.5889410Z >>> input = {"x": x, "y": y} 2025-12-04T09:03:07.5889782Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:03:07.5890182Z >>> batched_dot(input) 2025-12-04T09:03:07.5890429Z 2025-12-04T09:03:07.5890813Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:03:07.5891437Z along any dimension by using ``out_dims`` 2025-12-04T09:03:07.5891745Z 2025-12-04T09:03:07.5891952Z >>> f = lambda x: x**2 2025-12-04T09:03:07.5892234Z >>> x = torch.randn(2, 5) 2025-12-04T09:03:07.5892542Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:03:07.5892884Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:03:07.5893166Z 2025-12-04T09:03:07.5893557Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:03:07.5894063Z accept kwargs 2025-12-04T09:03:07.5894283Z 2025-12-04T09:03:07.5894483Z >>> x = torch.randn([2, 5]) 2025-12-04T09:03:07.5894779Z >>> def fn(x, scale=4.): 2025-12-04T09:03:07.5895113Z >>> return x * scale 2025-12-04T09:03:07.5895375Z >>> 2025-12-04T09:03:07.5895588Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:03:07.5895945Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:03:07.5896428Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:03:07.5896841Z 2025-12-04T09:03:07.5897038Z .. note:: 2025-12-04T09:03:07.5897385Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:03:07.5897815Z sequences out of the box. 2025-12-04T09:03:07.5898088Z 2025-12-04T09:03:07.5898719Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:03:07.5899426Z 2025-12-04T09:03:07.5899617Z _._ = None 2025-12-04T09:03:07.5899828Z ^ 2025-12-04T09:03:07.5900024Z warnings.warn(msg) 2025-12-04T09:03:07.5900279Z 2025-12-04T09:03:07.5900606Z --- Parse Warning: 8 / 17 --- 2025-12-04T09:03:07.5901697Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:03:07.5902896Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.5903502Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:03:07.5904059Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:03:07.5904488Z compute higher-order gradients. 2025-12-04T09:03:07.5904774Z 2025-12-04T09:03:07.5916452Z Args: 2025-12-04T09:03:07.5916837Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:03:07.5917534Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:03:07.5918208Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:03:07.5918699Z ``(output, aux)``. 2025-12-04T09:03:07.5919164Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:03:07.5919775Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:03:07.5920321Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:03:07.5920836Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:03:07.5921183Z 2025-12-04T09:03:07.5921383Z Returns: 2025-12-04T09:03:07.5921808Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:03:07.5922436Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:03:07.5923069Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:03:07.5923724Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:03:07.5924240Z respect to each ``argnums`` value is returned. 2025-12-04T09:03:07.5924568Z 2025-12-04T09:03:07.5924894Z Example of using ``grad``: 2025-12-04T09:03:07.5925178Z 2025-12-04T09:03:07.5925374Z >>> # xdoctest: +SKIP 2025-12-04T09:03:07.5925682Z >>> from torch.func import grad 2025-12-04T09:03:07.5926001Z >>> x = torch.randn([]) 2025-12-04T09:03:07.5926314Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:03:07.5926682Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:03:07.5927004Z >>> 2025-12-04T09:03:07.5927232Z >>> # Second-order gradients 2025-12-04T09:03:07.5927599Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:03:07.5928062Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:03:07.5928383Z 2025-12-04T09:03:07.5928746Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:03:07.5929200Z 2025-12-04T09:03:07.5929411Z >>> # xdoctest: +SKIP 2025-12-04T09:03:07.5929719Z >>> from torch.func import grad, vmap 2025-12-04T09:03:07.5930071Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:03:07.5930383Z >>> 2025-12-04T09:03:07.5930622Z >>> def model(weights, feature_vec): 2025-12-04T09:03:07.5930989Z >>> # Very simple linear model with activation 2025-12-04T09:03:07.5931353Z >>> assert feature_vec.dim() == 1 2025-12-04T09:03:07.5931696Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:03:07.5932022Z >>> 2025-12-04T09:03:07.5932295Z >>> def compute_loss(weights, example, target): 2025-12-04T09:03:07.5932651Z >>> y = model(weights, example) 2025-12-04T09:03:07.5933003Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:03:07.5933337Z >>> 2025-12-04T09:03:07.5933642Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:03:07.5934077Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:03:07.5934460Z >>> targets = torch.randn(batch_size) 2025-12-04T09:03:07.5934817Z >>> inputs = (weights, examples, targets) 2025-12-04T09:03:07.5935291Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:03:07.5935725Z ... *inputs 2025-12-04T09:03:07.5935974Z ... ) 2025-12-04T09:03:07.5936191Z 2025-12-04T09:03:07.5936470Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:03:07.5936841Z 2025-12-04T09:03:07.5937053Z >>> # xdoctest: +SKIP 2025-12-04T09:03:07.5937343Z >>> from torch.func import grad 2025-12-04T09:03:07.5937676Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:03:07.5938029Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:03:07.5938381Z >>> loss = loss_per_sample.mean() 2025-12-04T09:03:07.5938740Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:03:07.5939060Z >>> 2025-12-04T09:03:07.5939340Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:03:07.5939697Z >>> y_true = torch.rand(4) 2025-12-04T09:03:07.5940226Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:03:07.5940635Z >>> out = fn(y_true, y_preds) 2025-12-04T09:03:07.5941083Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:03:07.5941532Z 2025-12-04T09:03:07.5941738Z .. note:: 2025-12-04T09:03:07.5942037Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:03:07.5942407Z 2025-12-04T09:03:07.5942665Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:03:07.5943005Z 2025-12-04T09:03:07.5943202Z >>> # xdoctest: +SKIP 2025-12-04T09:03:07.5943500Z >>> def f(x): 2025-12-04T09:03:07.5943909Z >>> with torch.no_grad(): 2025-12-04T09:03:07.5944214Z >>> c = x ** 2 2025-12-04T09:03:07.5944513Z >>> return x - c 2025-12-04T09:03:07.5944792Z 2025-12-04T09:03:07.5945085Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:03:07.5945484Z 2025-12-04T09:03:07.5945774Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:03:07.5946147Z 2025-12-04T09:03:07.5946352Z >>> # xdoctest: +SKIP 2025-12-04T09:03:07.5946656Z >>> with torch.no_grad(): 2025-12-04T09:03:07.5946953Z >>> grad(f)(x) 2025-12-04T09:03:07.5947291Z 2025-12-04T09:03:07.5947621Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:03:07.5948188Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:03:07.5948744Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:03:07.5949166Z 2025-12-04T09:03:07.5949358Z 2025-12-04T09:03:07.5949985Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:03:07.5950705Z 2025-12-04T09:03:07.5950894Z _._ = None 2025-12-04T09:03:07.5951092Z ^ 2025-12-04T09:03:07.5951299Z warnings.warn(msg) 2025-12-04T09:03:07.5951544Z 2025-12-04T09:03:07.5951873Z --- Parse Warning: 9 / 17 --- 2025-12-04T09:03:07.5953079Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T09:03:07.5954418Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.5954975Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:03:07.5955335Z 2025-12-04T09:03:07.5955691Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:03:07.5956146Z 2025-12-04T09:03:07.5956476Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:03:07.5957036Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:03:07.5957611Z Given some input Tensors with certain properties 2025-12-04T09:03:07.5958135Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:03:07.5958606Z the output Tensors are. 2025-12-04T09:03:07.5958899Z 2025-12-04T09:03:07.5959214Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:03:07.5959605Z 2025-12-04T09:03:07.5959799Z Args: 2025-12-04T09:03:07.5960113Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:03:07.5960507Z implementation. 2025-12-04T09:03:07.5960776Z 2025-12-04T09:03:07.5960975Z Examples: 2025-12-04T09:03:07.5961222Z >>> import torch 2025-12-04T09:03:07.5961499Z >>> import numpy as np 2025-12-04T09:03:07.5961822Z >>> from torch import Tensor 2025-12-04T09:03:07.5962133Z >>> 2025-12-04T09:03:07.5962453Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:03:07.5962960Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:03:07.5963468Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:03:07.5963895Z >>> return (x @ weight.t()) + bias 2025-12-04T09:03:07.5964216Z >>> 2025-12-04T09:03:07.5964467Z >>> @linear.register_fake 2025-12-04T09:03:07.5964869Z >>> def _(x, weight, bias): 2025-12-04T09:03:07.5965179Z >>> assert x.dim() == 2 2025-12-04T09:03:07.5965510Z >>> assert weight.dim() == 2 2025-12-04T09:03:07.5965848Z >>> assert bias.dim() == 1 2025-12-04T09:03:07.5966185Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:03:07.5966567Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:03:07.5966946Z >>> assert x.device == weight.device 2025-12-04T09:03:07.5967320Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:03:07.5967666Z >>> 2025-12-04T09:03:07.5967905Z >>> x = torch.randn(2, 2) 2025-12-04T09:03:07.5968298Z >>> weight = torch.randn(2, 2) 2025-12-04T09:03:07.5968611Z >>> bias = torch.randn(2) 2025-12-04T09:03:07.5968957Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:03:07.5969402Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:03:07.5969835Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:03:07.5970336Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:03:07.5970788Z >>> 2025-12-04T09:03:07.5971092Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:03:07.5971584Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:03:07.5972023Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:03:07.5972367Z >>> x_np = x.cpu().numpy() 2025-12-04T09:03:07.5972713Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:03:07.5973107Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:03:07.5973447Z >>> 2025-12-04T09:03:07.5973683Z >>> @nonzero.register_fake 2025-12-04T09:03:07.5973997Z >>> def _(x): 2025-12-04T09:03:07.5974322Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:03:07.5974752Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:03:07.5975184Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:03:07.5975593Z >>> # represents the data-dependent size. 2025-12-04T09:03:07.5975958Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:03:07.5976297Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:03:07.5976638Z >>> shape = [nnz, x.dim()] 2025-12-04T09:03:07.5977009Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:03:07.5977364Z >>> return result 2025-12-04T09:03:07.5977647Z >>> 2025-12-04T09:03:07.5977902Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:03:07.5978274Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:03:07.5978666Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:03:07.5979064Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:03:07.5979449Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:03:07.5979766Z 2025-12-04T09:03:07.5979958Z 2025-12-04T09:03:07.5980619Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:03:07.5981343Z 2025-12-04T09:03:07.5981533Z _._ = None 2025-12-04T09:03:07.5981740Z ^ 2025-12-04T09:03:07.5981949Z warnings.warn(msg) 2025-12-04T09:03:07.5982184Z 2025-12-04T09:03:07.5982505Z --- Parse Warning: 10 / 17 --- 2025-12-04T09:03:07.5984593Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T09:03:07.5987260Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:03:07.5988143Z 2025-12-04T09:03:07.5988770Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:03:07.5989899Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:03:07.5990741Z 2025-12-04T09:03:07.5991328Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:03:07.5992395Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:03:07.5993541Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:03:07.5994604Z information we will match a given input to the recorded profile, and return 2025-12-04T09:03:07.5995726Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:03:07.5996630Z doesn't exist then an exception will be thrown. 2025-12-04T09:03:07.5997250Z 2025-12-04T09:03:07.5997943Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:03:07.5999038Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:03:07.6000165Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:03:07.6001358Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:03:07.6002537Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:03:07.6003636Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:03:07.6004706Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:03:07.6005520Z potentially unsafe. 2025-12-04T09:03:07.6005958Z 2025-12-04T09:03:07.6006283Z Args: 2025-12-04T09:03:07.6006894Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:03:07.6007912Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:03:07.6008657Z kernels. 2025-12-04T09:03:07.6009053Z 2025-12-04T09:03:07.6009400Z Examples: 2025-12-04T09:03:07.6009758Z 2025-12-04T09:03:07.6010259Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:03:07.6010954Z >>> import torch 2025-12-04T09:03:07.6011244Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:03:07.6011382Z >>> 2025-12-04T09:03:07.6011716Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:03:07.6011937Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:03:07.6012109Z >>> return x + y 2025-12-04T09:03:07.6012249Z >>> 2025-12-04T09:03:07.6012435Z >>> class M(torch.nn.Module): 2025-12-04T09:03:07.6012634Z >>> def forward(self, a, b): 2025-12-04T09:03:07.6012887Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:03:07.6013047Z >>> return res 2025-12-04T09:03:07.6013197Z >>> 2025-12-04T09:03:07.6013498Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:03:07.6013638Z >>> 2025-12-04T09:03:07.6014208Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:03:07.6014416Z >>> decomp = ep.run_decompositions() 2025-12-04T09:03:07.6014565Z 2025-12-04T09:03:07.6014701Z 2025-12-04T09:03:07.6015634Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:03:07.6015792Z 2025-12-04T09:03:07.6015955Z warnings.warn(msg) 2025-12-04T09:03:07.6016091Z 2025-12-04T09:03:07.6016443Z --- Parse Warning: 11 / 17 --- 2025-12-04T09:03:07.6018919Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T09:03:07.6019393Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.6019531Z 2025-12-04T09:03:07.6020026Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:03:07.6020457Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:03:07.6020923Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:03:07.6021156Z input by the user. 2025-12-04T09:03:07.6021583Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:03:07.6021851Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:03:07.6022011Z 2025-12-04T09:03:07.6022158Z Note:: 2025-12-04T09:03:07.6022766Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:03:07.6022926Z 2025-12-04T09:03:07.6023067Z Args: 2025-12-04T09:03:07.6023228Z model (nn.Module): 2025-12-04T09:03:07.6023653Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:03:07.6024101Z sparsified should be added separately using the register_layer() function 2025-12-04T09:03:07.6024306Z aggregate_fn (Optional, Callable): 2025-12-04T09:03:07.6024796Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:03:07.6025098Z specifies how inputs should be aggregated over time. 2025-12-04T09:03:07.6025648Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:03:07.6025794Z Example 2025-12-04T09:03:07.6026107Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:03:07.6026317Z reduce_fn (Optional, Callable): 2025-12-04T09:03:07.6026770Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:03:07.6027243Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:03:07.6027456Z calling agg_fn() on all inputs. 2025-12-04T09:03:07.6027607Z Example 2025-12-04T09:03:07.6027980Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:03:07.6028180Z mask_fn (Optional, Callable): 2025-12-04T09:03:07.6028765Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:03:07.6029247Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:03:07.6029425Z register_layer(). 2025-12-04T09:03:07.6030088Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:03:07.6030260Z arguments. 2025-12-04T09:03:07.6030449Z features (Optional, list): 2025-12-04T09:03:07.6030690Z default selected features to sparsify. 2025-12-04T09:03:07.6031184Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:03:07.6031346Z For example, 2025-12-04T09:03:07.6031830Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:03:07.6032031Z feature_dim (Optional, int): 2025-12-04T09:03:07.6032547Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:03:07.6032815Z for sparsification. 2025-12-04T09:03:07.6032992Z sparse_config (Dict): 2025-12-04T09:03:07.6033409Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:03:07.6033575Z with the mask_fn() 2025-12-04T09:03:07.6033711Z 2025-12-04T09:03:07.6033874Z Example: 2025-12-04T09:03:07.6034041Z >>> # xdoctest: +SKIP 2025-12-04T09:03:07.6034207Z >>> model = SomeModel() 2025-12-04T09:03:07.6034676Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:03:07.6034864Z >>> # Initialize aggregate_fn 2025-12-04T09:03:07.6035023Z >>> def agg_fn(x, y): 2025-12-04T09:03:07.6035258Z >>> return x + y 2025-12-04T09:03:07.6035397Z >>> 2025-12-04T09:03:07.6035588Z >>> # Initialize reduce_fn 2025-12-04T09:03:07.6035752Z >>> def reduce_fn(x): 2025-12-04T09:03:07.6035942Z >>> return torch.mean(x, dim=0) 2025-12-04T09:03:07.6036101Z >>> 2025-12-04T09:03:07.6036279Z >>> # Initialize mask_fn 2025-12-04T09:03:07.6036445Z >>> def mask_fn(data): 2025-12-04T09:03:07.6036705Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:03:07.6036847Z >>> 2025-12-04T09:03:07.6036983Z >>> 2025-12-04T09:03:07.6037199Z >>> act_sparsifier.register_layer( 2025-12-04T09:03:07.6037431Z ... model.some_layer, 2025-12-04T09:03:07.6037602Z ... aggregate_fn=agg_fn, 2025-12-04T09:03:07.6037785Z ... reduce_fn=reduce_fn, 2025-12-04T09:03:07.6037948Z ... mask_fn=mask_fn, 2025-12-04T09:03:07.6038098Z ... ) 2025-12-04T09:03:07.6038239Z >>> 2025-12-04T09:03:07.6038413Z >>> # start training process 2025-12-04T09:03:07.6038580Z >>> for _ in [...]: 2025-12-04T09:03:07.6038733Z >>> # epoch starts 2025-12-04T09:03:07.6039035Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:03:07.6039206Z >>> # epoch ends 2025-12-04T09:03:07.6039387Z >>> act_sparsifier.step() 2025-12-04T09:03:07.6039559Z >>> # end training process 2025-12-04T09:03:07.6039752Z >>> sparsifier.squash_mask() 2025-12-04T09:03:07.6039886Z 2025-12-04T09:03:07.6041000Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:03:07.6041152Z 2025-12-04T09:03:07.6041290Z _._ = None 2025-12-04T09:03:07.6041439Z ^ 2025-12-04T09:03:07.6041603Z warnings.warn(msg) 2025-12-04T09:03:07.6041742Z 2025-12-04T09:03:07.6042098Z --- Parse Warning: 12 / 17 --- 2025-12-04T09:03:07.6044006Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T09:03:07.6044472Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.6044627Z 2025-12-04T09:03:07.6045136Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:03:07.6045656Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:03:07.6045811Z ``mesh_dim_names`` 2025-12-04T09:03:07.6045947Z 2025-12-04T09:03:07.6046105Z Args: 2025-12-04T09:03:07.6046534Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:03:07.6046870Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:03:07.6047030Z Returns: 2025-12-04T09:03:07.6047210Z A :class:`DeviceMesh` object 2025-12-04T09:03:07.6047344Z 2025-12-04T09:03:07.6047898Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:03:07.6048063Z In the first example: 2025-12-04T09:03:07.6048662Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:03:07.6049124Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:03:07.6049535Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:03:07.6049964Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:03:07.6050377Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:03:07.6050785Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:03:07.6051042Z 2025-12-04T09:03:07.6051211Z In the second example: 2025-12-04T09:03:07.6051721Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:03:07.6052219Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:03:07.6052711Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:03:07.6053216Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:03:07.6053356Z 2025-12-04T09:03:07.6053514Z Example:: 2025-12-04T09:03:07.6053664Z 2025-12-04T09:03:07.6053849Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:03:07.6054165Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:03:07.6054304Z >>> 2025-12-04T09:03:07.6054667Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:03:07.6054929Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:03:07.6055396Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:03:07.6055567Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:03:07.6055753Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:03:07.6055891Z >>> 2025-12-04T09:03:07.6056053Z >>> # Initialize a 3D mesh. 2025-12-04T09:03:07.6056569Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:03:07.6057142Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:03:07.6057338Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:03:07.6057527Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:03:07.6057660Z 2025-12-04T09:03:07.6058988Z 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)) 2025-12-04T09:03:07.6059129Z 2025-12-04T09:03:07.6059586Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:03:07.6059786Z ^ 2025-12-04T09:03:07.6059947Z warnings.warn(msg) 2025-12-04T09:03:07.6060089Z 2025-12-04T09:03:07.6060405Z --- Parse Warning: 13 / 17 --- 2025-12-04T09:03:07.6062317Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T09:03:07.6062779Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.6062915Z 2025-12-04T09:03:07.6063456Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:03:07.6063599Z 2025-12-04T09:03:07.6064157Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:03:07.6064305Z 2025-12-04T09:03:07.6064892Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:03:07.6065096Z will be visible to the whole process. 2025-12-04T09:03:07.6065247Z 2025-12-04T09:03:07.6065768Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:03:07.6065909Z 2025-12-04T09:03:07.6066121Z 1) set_up_planner - called on all ranks. 2025-12-04T09:03:07.6066335Z Signals the start of a checkpoint save. 2025-12-04T09:03:07.6066468Z 2025-12-04T09:03:07.6066691Z 2) create_local_plan - called on all ranks. 2025-12-04T09:03:07.6067227Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:03:07.6067429Z 2025-12-04T09:03:07.6067748Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:03:07.6068101Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:03:07.6068240Z 2025-12-04T09:03:07.6068433Z 4) finish_plan - called on all ranks. 2025-12-04T09:03:07.6068826Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:03:07.6068970Z 2025-12-04T09:03:07.6069231Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:03:07.6069595Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:03:07.6069733Z 2025-12-04T09:03:07.6070307Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:03:07.6070642Z most changes can be expressed by changes in a single method. 2025-12-04T09:03:07.6070774Z 2025-12-04T09:03:07.6070980Z There are 3 usual patterns of extension: 2025-12-04T09:03:07.6071121Z 2025-12-04T09:03:07.6071594Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:03:07.6072006Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:03:07.6072143Z 2025-12-04T09:03:07.6072337Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:03:07.6072558Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:03:07.6072728Z >>> def set_up_planner( 2025-12-04T09:03:07.6072867Z >>> self, 2025-12-04T09:03:07.6073058Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:03:07.6073265Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:03:07.6073438Z >>> is_coordinator: bool, 2025-12-04T09:03:07.6073590Z >>> ) -> None: 2025-12-04T09:03:07.6073774Z >>> # prefix all keys with `foo_`` 2025-12-04T09:03:07.6074303Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:03:07.6074449Z 2025-12-04T09:03:07.6075073Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:03:07.6075207Z 2025-12-04T09:03:07.6075405Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:03:07.6075625Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:03:07.6075815Z >>> def create_local_plan(self): 2025-12-04T09:03:07.6076013Z >>> plan = super().create_local_plan() 2025-12-04T09:03:07.6076175Z >>> for p in plan: 2025-12-04T09:03:07.6076373Z >>> if p.tensor_data is not None: 2025-12-04T09:03:07.6076644Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:03:07.6076795Z >>> return plan 2025-12-04T09:03:07.6076950Z >>> 2025-12-04T09:03:07.6077146Z >>> def resolve_data(self, write_item): 2025-12-04T09:03:07.6077432Z >>> item = super().resolve_data(write_item) 2025-12-04T09:03:07.6077959Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:03:07.6078094Z 2025-12-04T09:03:07.6078749Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:03:07.6078883Z 2025-12-04T09:03:07.6079143Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:03:07.6079347Z >>> from itertools import zip_longest 2025-12-04T09:03:07.6079536Z >>> from dataclasses import replace 2025-12-04T09:03:07.6079827Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:03:07.6080349Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:03:07.6080567Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:03:07.6080785Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:03:07.6081054Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:03:07.6081284Z >>> items_per_rank = [ 2025-12-04T09:03:07.6081529Z >>> [item for item in items if item is not None] 2025-12-04T09:03:07.6081803Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:03:07.6081946Z >>> ] 2025-12-04T09:03:07.6082120Z >>> all_plans = [ 2025-12-04T09:03:07.6082315Z >>> replace(plan, items=items) 2025-12-04T09:03:07.6082653Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:03:07.6082803Z >>> ] 2025-12-04T09:03:07.6083043Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:03:07.6083176Z 2025-12-04T09:03:07.6083688Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:03:07.6084190Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:03:07.6084398Z the global planner aggregate them: 2025-12-04T09:03:07.6084542Z 2025-12-04T09:03:07.6084736Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:03:07.6085020Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:03:07.6085239Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:03:07.6085445Z >>> plan = super().create_local_plan() 2025-12-04T09:03:07.6085738Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:03:07.6085872Z >>> 2025-12-04T09:03:07.6086437Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:03:07.6086789Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:03:07.6087066Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:03:07.6087375Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:03:07.6087562Z >>> return global_plan, metadata 2025-12-04T09:03:07.6087701Z 2025-12-04T09:03:07.6088739Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:03:07.6088872Z 2025-12-04T09:03:07.6089020Z _._ = None 2025-12-04T09:03:07.6089161Z ^ 2025-12-04T09:03:07.6089331Z warnings.warn(msg) 2025-12-04T09:03:07.6089474Z 2025-12-04T09:03:07.6089801Z --- Parse Warning: 14 / 17 --- 2025-12-04T09:03:07.6091714Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T09:03:07.6092192Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.6092334Z 2025-12-04T09:03:07.6092878Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:03:07.6093030Z 2025-12-04T09:03:07.6093576Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:03:07.6093719Z 2025-12-04T09:03:07.6094244Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:03:07.6094509Z will be visible to the whole process. 2025-12-04T09:03:07.6094656Z 2025-12-04T09:03:07.6095176Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:03:07.6095311Z 2025-12-04T09:03:07.6095522Z 1) set_up_planner - called on all ranks. 2025-12-04T09:03:07.6095742Z Signals the start of loading a checkpoint. 2025-12-04T09:03:07.6095874Z 2025-12-04T09:03:07.6096093Z 2) create_local_plan - called on all ranks. 2025-12-04T09:03:07.6096624Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:03:07.6096768Z 2025-12-04T09:03:07.6097087Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:03:07.6097503Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:03:07.6097644Z 2025-12-04T09:03:07.6097897Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:03:07.6098198Z This is called once per non-tensor value in state_dict. 2025-12-04T09:03:07.6098342Z 2025-12-04T09:03:07.6098753Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:03:07.6099077Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:03:07.6099219Z 2025-12-04T09:03:07.6099795Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:03:07.6100132Z most changes can be expressed by changes in a single method. 2025-12-04T09:03:07.6100267Z 2025-12-04T09:03:07.6100487Z There are two usual patterns of extension: 2025-12-04T09:03:07.6100632Z 2025-12-04T09:03:07.6101104Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:03:07.6101588Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:03:07.6102026Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:03:07.6102239Z we need to be able to perform it in place 2025-12-04T09:03:07.6102369Z 2025-12-04T09:03:07.6102569Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:03:07.6102797Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:03:07.6102963Z >>> def set_up_planner( 2025-12-04T09:03:07.6103110Z >>> self, 2025-12-04T09:03:07.6103296Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:03:07.6103463Z >>> metadata: Metadata, 2025-12-04T09:03:07.6103645Z >>> is_coordinator: bool, 2025-12-04T09:03:07.6103789Z >>> ) -> None: 2025-12-04T09:03:07.6104007Z >>> self.original_state_dict = state_dict 2025-12-04T09:03:07.6104311Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:03:07.6104449Z >>> 2025-12-04T09:03:07.6104656Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:03:07.6104918Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:03:07.6105053Z >>> 2025-12-04T09:03:07.6105255Z >>> if self.flatten_state_dict: 2025-12-04T09:03:07.6105580Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:03:07.6105716Z >>> 2025-12-04T09:03:07.6105910Z >>> self.state_dict = state_dict 2025-12-04T09:03:07.6106090Z >>> self.metadata = metadata 2025-12-04T09:03:07.6106305Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:03:07.6106438Z >>> 2025-12-04T09:03:07.6106644Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:03:07.6106828Z >>> # Remove the "foo_" prefix 2025-12-04T09:03:07.6107424Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:03:07.6107562Z 2025-12-04T09:03:07.6107701Z 2025-12-04T09:03:07.6108192Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:03:07.6108324Z 2025-12-04T09:03:07.6108609Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:03:07.6108879Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:03:07.6109085Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:03:07.6109306Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:03:07.6109556Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:03:07.6109704Z >>> 2025-12-04T09:03:07.6109924Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:03:07.6110195Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:03:07.6110335Z 2025-12-04T09:03:07.6111374Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:03:07.6111618Z 2025-12-04T09:03:07.6111769Z _._ = None 2025-12-04T09:03:07.6111905Z ^ 2025-12-04T09:03:07.6112071Z warnings.warn(msg) 2025-12-04T09:03:07.6112214Z 2025-12-04T09:03:07.6112536Z --- Parse Warning: 15 / 17 --- 2025-12-04T09:03:07.6114436Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T09:03:07.6114893Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.6115027Z 2025-12-04T09:03:07.6115407Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:03:07.6115761Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:03:07.6116130Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:03:07.6116547Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:03:07.6116903Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:03:07.6117052Z follows: 2025-12-04T09:03:07.6117191Z 2025-12-04T09:03:07.6117480Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:03:07.6117924Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:03:07.6118142Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:03:07.6118511Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:03:07.6118928Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:03:07.6119108Z >>> state = fsdp.state_dict() 2025-12-04T09:03:07.6119497Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:03:07.6119936Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:03:07.6120355Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:03:07.6120532Z >>> if dist.get_rank() == 0: 2025-12-04T09:03:07.6120859Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:03:07.6121101Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:03:07.6121313Z >>> model.load_state_dict(state_dict) 2025-12-04T09:03:07.6121748Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:03:07.6122207Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:03:07.6122359Z >>> fsdp = FSDP( 2025-12-04T09:03:07.6122498Z ... model, 2025-12-04T09:03:07.6122730Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:03:07.6122913Z ... auto_wrap_policy=..., 2025-12-04T09:03:07.6123090Z ... sync_module_states=True, 2025-12-04T09:03:07.6123234Z ... ) 2025-12-04T09:03:07.6123620Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:03:07.6123753Z 2025-12-04T09:03:07.6123970Z Attributes: 2025-12-04T09:03:07.6124323Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:03:07.6124693Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:03:07.6124966Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:03:07.6125104Z 2025-12-04T09:03:07.6126072Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:03:07.6126202Z 2025-12-04T09:03:07.6126341Z _._ = None 2025-12-04T09:03:07.6126483Z ^ 2025-12-04T09:03:07.6126645Z warnings.warn(msg) 2025-12-04T09:03:07.6126837Z 2025-12-04T09:03:07.6127165Z --- Parse Warning: 16 / 17 --- 2025-12-04T09:03:07.6129083Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T09:03:07.6129551Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.6129818Z Register a parametrization to a tensor in a module. 2025-12-04T09:03:07.6129957Z 2025-12-04T09:03:07.6130484Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:03:07.6131008Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:03:07.6131501Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:03:07.6132055Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:03:07.6132196Z 2025-12-04T09:03:07.6132801Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:03:07.6133252Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:03:07.6133386Z 2025-12-04T09:03:07.6133871Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:03:07.6134087Z ``module.parametrizations.weight``. 2025-12-04T09:03:07.6134220Z 2025-12-04T09:03:07.6134469Z The original tensor will be accessible under 2025-12-04T09:03:07.6134723Z ``module.parametrizations.weight.original``. 2025-12-04T09:03:07.6134872Z 2025-12-04T09:03:07.6135374Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:03:07.6135545Z on the same attribute. 2025-12-04T09:03:07.6135687Z 2025-12-04T09:03:07.6136148Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:03:07.6136377Z to match the training mode of the host module 2025-12-04T09:03:07.6136519Z 2025-12-04T09:03:07.6137103Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:03:07.6137321Z using the context manager :func:`cached`. 2025-12-04T09:03:07.6137466Z 2025-12-04T09:03:07.6137914Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:03:07.6138058Z 2025-12-04T09:03:07.6138231Z .. code-block:: python 2025-12-04T09:03:07.6138363Z 2025-12-04T09:03:07.6138763Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:03:07.6138894Z 2025-12-04T09:03:07.6139382Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:03:07.6139770Z is registered to compute the initial value of the original tensor. 2025-12-04T09:03:07.6140473Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:03:07.6140609Z 2025-12-04T09:03:07.6141325Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:03:07.6141874Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:03:07.6142021Z 2025-12-04T09:03:07.6142436Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:03:07.6142885Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:03:07.6143325Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:03:07.6143459Z 2025-12-04T09:03:07.6144099Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:03:07.6144408Z with names ``original0``, ``original1``,... 2025-12-04T09:03:07.6144539Z 2025-12-04T09:03:07.6144693Z .. note:: 2025-12-04T09:03:07.6144827Z 2025-12-04T09:03:07.6145320Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:03:07.6145583Z once to perform a number of consistency checks. 2025-12-04T09:03:07.6146082Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:03:07.6146284Z and nothing will be called otherwise. 2025-12-04T09:03:07.6146426Z 2025-12-04T09:03:07.6146566Z .. note:: 2025-12-04T09:03:07.6146697Z 2025-12-04T09:03:07.6147078Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:03:07.6147278Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:03:07.6147817Z `right inverse `_). 2025-12-04T09:03:07.6148289Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:03:07.6148446Z to relax this. 2025-12-04T09:03:07.6148586Z 2025-12-04T09:03:07.6148733Z .. warning:: 2025-12-04T09:03:07.6148865Z 2025-12-04T09:03:07.6149387Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:03:07.6149864Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:03:07.6150378Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:03:07.6150725Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:03:07.6150857Z 2025-12-04T09:03:07.6151009Z Args: 2025-12-04T09:03:07.6151387Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:03:07.6151781Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:03:07.6151971Z the parametrization 2025-12-04T09:03:07.6152338Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:03:07.6152489Z Keyword args: 2025-12-04T09:03:07.6152898Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:03:07.6153244Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:03:07.6153750Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:03:07.6153950Z Enable this flag at your own risk. 2025-12-04T09:03:07.6154079Z 2025-12-04T09:03:07.6154236Z Raises: 2025-12-04T09:03:07.6154775Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:03:07.6154908Z 2025-12-04T09:03:07.6155068Z Examples: 2025-12-04T09:03:07.6155318Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:03:07.6155478Z >>> import torch 2025-12-04T09:03:07.6155662Z >>> import torch.nn as nn 2025-12-04T09:03:07.6155898Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:03:07.6156047Z >>> 2025-12-04T09:03:07.6156293Z >>> class Symmetric(nn.Module): 2025-12-04T09:03:07.6156476Z >>> def forward(self, X): 2025-12-04T09:03:07.6156805Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:03:07.6156943Z >>> 2025-12-04T09:03:07.6157134Z >>> def right_inverse(self, A): 2025-12-04T09:03:07.6157321Z >>> return A.triu() 2025-12-04T09:03:07.6157525Z >>> 2025-12-04T09:03:07.6157696Z >>> m = nn.Linear(5, 5) 2025-12-04T09:03:07.6158012Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:03:07.6158454Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:03:07.6158678Z True 2025-12-04T09:03:07.6158849Z >>> A = torch.rand(5, 5) 2025-12-04T09:03:07.6159037Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:03:07.6159416Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:03:07.6159629Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:03:07.6159768Z True 2025-12-04T09:03:07.6159919Z 2025-12-04T09:03:07.6160104Z >>> class RankOne(nn.Module): 2025-12-04T09:03:07.6160290Z >>> def forward(self, x, y): 2025-12-04T09:03:07.6160544Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:03:07.6160775Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:03:07.6160927Z >>> 2025-12-04T09:03:07.6161122Z >>> def right_inverse(self, Z): 2025-12-04T09:03:07.6161329Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:03:07.6161611Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:03:07.6161816Z >>> # Return rescaled singular vectors 2025-12-04T09:03:07.6162021Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:03:07.6162295Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:03:07.6162434Z >>> 2025-12-04T09:03:07.6162686Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:03:07.6162913Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:03:07.6163053Z ... ) 2025-12-04T09:03:07.6163436Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:03:07.6163583Z 1 2025-12-04T09:03:07.6163724Z 2025-12-04T09:03:07.6163878Z 2025-12-04T09:03:07.6164910Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:03:07.6165048Z 2025-12-04T09:03:07.6165198Z _._ = None 2025-12-04T09:03:07.6165337Z ^ 2025-12-04T09:03:07.6165503Z warnings.warn(msg) 2025-12-04T09:03:07.6165654Z 2025-12-04T09:03:07.6166000Z --- Parse Warning: 17 / 17 --- 2025-12-04T09:03:07.6167888Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T09:03:07.6168350Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:03:07.6168676Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:03:07.6168830Z 2025-12-04T09:03:07.6169201Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:03:07.6169538Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:03:07.6169911Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:03:07.6170128Z of epochs, the learning rate is reduced. 2025-12-04T09:03:07.6170285Z 2025-12-04T09:03:07.6170430Z Args: 2025-12-04T09:03:07.6170746Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:03:07.6171031Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:03:07.6171303Z be reduced when the quantity monitored has stopped 2025-12-04T09:03:07.6171596Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:03:07.6171955Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:03:07.6172266Z factor (float): Factor by which the learning rate will be 2025-12-04T09:03:07.6172503Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:03:07.6172915Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:03:07.6173199Z which the learning rate will be reduced. 2025-12-04T09:03:07.6173638Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:03:07.6174339Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:03:07.6174714Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:03:07.6174988Z we have what is considered an intolerable epoch. 2025-12-04T09:03:07.6175481Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:03:07.6175795Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:03:07.6176406Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:03:07.6177003Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:03:07.6177223Z the learning rate is not adjusted. 2025-12-04T09:03:07.6177382Z Default: 10. 2025-12-04T09:03:07.6177727Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:03:07.6178027Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:03:07.6178336Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:03:07.6178634Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:03:07.6178876Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:03:07.6179149Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:03:07.6179479Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:03:07.6179785Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:03:07.6180102Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:03:07.6180399Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:03:07.6180687Z lower bound on the learning rate of all param groups 2025-12-04T09:03:07.6180931Z or each group respectively. Default: 0. 2025-12-04T09:03:07.6181250Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:03:07.6181568Z between new and old lr is smaller than eps, the update is 2025-12-04T09:03:07.6181763Z ignored. Default: 1e-8. 2025-12-04T09:03:07.6181903Z 2025-12-04T09:03:07.6182050Z Example: 2025-12-04T09:03:07.6182230Z >>> # xdoctest: +SKIP 2025-12-04T09:03:07.6182644Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:03:07.6182916Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:03:07.6183105Z >>> for epoch in range(10): 2025-12-04T09:03:07.6183265Z >>> train(...) 2025-12-04T09:03:07.6183464Z >>> val_loss = validate(...) 2025-12-04T09:03:07.6183728Z >>> # Note that step should be called after validate() 2025-12-04T09:03:07.6183920Z >>> scheduler.step(val_loss) 2025-12-04T09:03:07.6184132Z 2025-12-04T09:03:07.6184483Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:03:07.6184624Z 2025-12-04T09:03:07.6185433Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:03:07.6185574Z 2025-12-04T09:03:07.6185773Z scheduler.step(val_loss) 2025-12-04T09:03:07.6185912Z ^ 2025-12-04T09:03:07.6186074Z warnings.warn(msg) 2025-12-04T09:03:07.6186226Z 2025-12-04T09:03:07.6186410Z  2025-12-04T09:03:07.6186718Z === Found 10 run-time warnings === 2025-12-04T09:03:07.6187051Z --- Runtime Warning: 1 / 10 --- 2025-12-04T09:03:07.6187471Z example = 2025-12-04T09:03:07.6190413Z :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() 2025-12-04T09:03:07.6190554Z 2025-12-04T09:03:07.6190868Z --- Runtime Warning: 2 / 10 --- 2025-12-04T09:03:07.6191373Z example = 2025-12-04T09:03:07.6194074Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py:1392: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1976.) 2025-12-04T09:03:07.6194287Z return super().refine_names(names) 2025-12-04T09:03:07.6194423Z 2025-12-04T09:03:07.6194737Z --- Runtime Warning: 3 / 10 --- 2025-12-04T09:03:07.6195342Z example = 2025-12-04T09:03:07.6196752Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py:275: UserWarning: Warning only once for all operators, other operators may also be overridden. 2025-12-04T09:03:07.6197428Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-12-04T09:03:07.6197812Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-12-04T09:03:07.6198371Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-12-04T09:03:07.6198550Z dispatch key: CPU 2025-12-04T09:03:07.6199384Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-12-04T09:03:07.6201388Z new kernel: registered at :1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:215.) 2025-12-04T09:03:07.6201666Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-12-04T09:03:07.6201806Z 2025-12-04T09:03:07.6202136Z --- Runtime Warning: 4 / 10 --- 2025-12-04T09:03:07.6202573Z example = 2025-12-04T09:03:07.6206312Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:182.) 2025-12-04T09:03:07.6206775Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-12-04T09:03:07.6206986Z 2025-12-04T09:03:07.6207315Z --- Runtime Warning: 5 / 10 --- 2025-12-04T09:03:07.6207784Z example = 2025-12-04T09:03:07.6211038Z :1: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:55.) 2025-12-04T09:03:07.6211175Z 2025-12-04T09:03:07.6211558Z --- Runtime Warning: 6 / 10 --- 2025-12-04T09:03:07.6212153Z example = 2025-12-04T09:03:07.6215202Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/experimental/const_fold.py:314: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer 2025-12-04T09:03:07.6215505Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-12-04T09:03:07.6215638Z 2025-12-04T09:03:07.6215951Z --- Runtime Warning: 7 / 10 --- 2025-12-04T09:03:07.6216500Z example = 2025-12-04T09:03:07.6218659Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-12-04T09:03:07.6218878Z self.encoder = TransformerEncoder( 2025-12-04T09:03:07.6219012Z 2025-12-04T09:03:07.6219327Z --- Runtime Warning: 8 / 10 --- 2025-12-04T09:03:07.6219963Z example = 2025-12-04T09:03:07.6222393Z :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) 2025-12-04T09:03:07.6222540Z 2025-12-04T09:03:07.6222850Z --- Runtime Warning: 9 / 10 --- 2025-12-04T09:03:07.6223362Z example = 2025-12-04T09:03:07.6224975Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-12-04T09:03:07.6225186Z WeightNorm.apply(module, name, dim) 2025-12-04T09:03:07.6225335Z 2025-12-04T09:03:07.6225652Z --- Runtime Warning: 10 / 10 --- 2025-12-04T09:03:07.6226221Z example = 2025-12-04T09:03:07.6227813Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-12-04T09:03:07.6228019Z WeightNorm.apply(module, name, dim) 2025-12-04T09:03:07.6228155Z 2025-12-04T09:03:07.6228691Z === 378 passed, 516 skipped, 27 warnings in 13.29 seconds === 2025-12-04T09:03:07.6229132Z Finished doctests 1/1 ... [2025-12-04 09:03:07.572787][878.228774109], took 0.22min 2025-12-04T09:03:07.6229699Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:03:07.574443][878.230438296] 2025-12-04T09:03:07.6229891Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:07.6232079Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_privateuseone_python_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:07.574746] 2025-12-04T09:03:10.2370632Z 2025-12-04T09:03:10.2371836Z 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_39d4741c5bb5b46e_.log 2025-12-04T09:03:10.2372748Z Running 0 items in this shard: 2025-12-04T09:03:10.2372954Z 2025-12-04T09:03:10.2373551Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:03:10.236928][880.892921153], took 0.04min 2025-12-04T09:03:10.2385806Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-572d738e320055c8.xml 2025-12-04T09:03:10.3066396Z Running test_cpp_api_parity 1/1 ... [2025-12-04 09:03:10.306400][880.962393165] 2025-12-04T09:03:10.3066866Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:10.3069558Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:10.306707] 2025-12-04T09:03:16.6882277Z 2025-12-04T09:03:16.6883166Z 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_952deb461b303d95_.log 2025-12-04T09:03:16.6883977Z Running 0 items in this shard: 2025-12-04T09:03:16.6884181Z 2025-12-04T09:03:16.6884449Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:03:16.688046][887.344038161], took 0.11min 2025-12-04T09:03:16.6900200Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-c4c55a28e7d5cf20.xml 2025-12-04T09:03:16.7561897Z Running test_autograd_fallback 1/1 ... [2025-12-04 09:03:16.755889][887.411880987] 2025-12-04T09:03:16.7562566Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:16.7564322Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:16.756190] 2025-12-04T09:03:19.3740467Z 2025-12-04T09:03:19.3741464Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_276a14a35ca46464_.log 2025-12-04T09:03:19.3742336Z Running 0 items in this shard: 2025-12-04T09:03:19.3742577Z 2025-12-04T09:03:19.3742879Z Finished test_autograd_fallback 1/1 ... [2025-12-04 09:03:19.373830][890.029823177], took 0.04min 2025-12-04T09:03:19.3757321Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-dd46599627735552.xml 2025-12-04T09:03:19.3966910Z Running test_autocast 1/1 ... [2025-12-04 09:03:19.396454][890.052448435] 2025-12-04T09:03:19.3967387Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:19.3970295Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:19.396777] 2025-12-04T09:03:22.0339240Z 2025-12-04T09:03:22.0340721Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_e2eab33c1c556dd5_.log 2025-12-04T09:03:22.0342105Z Running 0 items in this shard: 2025-12-04T09:03:22.0342473Z 2025-12-04T09:03:22.0343258Z Finished test_autocast 1/1 ... [2025-12-04 09:03:22.033721][892.689712775], took 0.04min 2025-12-04T09:03:22.0359992Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-99f95bb24b078da3.xml 2025-12-04T09:03:22.0678727Z Running test_jit_disabled 1/1 ... [2025-12-04 09:03:22.067661][892.723654993] 2025-12-04T09:03:22.0679480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:22.0683419Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:22.067996] 2025-12-04T09:03:24.5888802Z 2025-12-04T09:03:24.5890167Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_1542a4fd7448eac4_.log 2025-12-04T09:03:24.5891453Z 2025-12-04T09:03:24.5891949Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:03:24.588657][895.244650328], took 0.04min 2025-12-04T09:03:24.5910479Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:03:24.590785][895.246778209] 2025-12-04T09:03:24.5911310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:24.5914761Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:24.591132] 2025-12-04T09:03:27.1818599Z 2025-12-04T09:03:27.1819639Z 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_137a00f45084e75f_.log 2025-12-04T09:03:27.1820517Z Running 0 items in this shard: 2025-12-04T09:03:27.1820707Z 2025-12-04T09:03:27.1821068Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:03:27.181681][897.837673869], took 0.04min 2025-12-04T09:03:27.1837741Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-67fcefba8cd3dc44.xml 2025-12-04T09:03:27.2107342Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:03:27.210534][897.866528429] 2025-12-04T09:03:27.2107889Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:27.2110890Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:27.210835] 2025-12-04T09:03:29.8327472Z 2025-12-04T09:03:29.8329186Z 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_e477ea632bee9550_.log 2025-12-04T09:03:29.8330951Z Running 0 items in this shard: 2025-12-04T09:03:29.8331290Z 2025-12-04T09:03:29.8331940Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:03:29.832539][900.488532702], took 0.04min 2025-12-04T09:03:29.8350801Z 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-a1e8b3ec259eb821.xml 2025-12-04T09:03:29.8646794Z Running test_dispatch 1/1 ... [2025-12-04 09:03:29.864437][900.520429951] 2025-12-04T09:03:29.8647562Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:29.8650824Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:29.864755] 2025-12-04T09:03:32.5591439Z 2025-12-04T09:03:32.5592730Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_5419460ae12c1442_.log 2025-12-04T09:03:32.5594104Z Running 0 items in this shard: 2025-12-04T09:03:32.5594456Z 2025-12-04T09:03:32.5594928Z Finished test_dispatch 1/1 ... [2025-12-04 09:03:32.558950][903.21494272], took 0.04min 2025-12-04T09:03:32.5614925Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-714ed7ab7c718730.xml 2025-12-04T09:03:32.5883513Z Running nn/test_convolution 1/2 ... [2025-12-04 09:03:32.588124][903.244117487] 2025-12-04T09:03:32.5884635Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:32.5887694Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:32.588446] 2025-12-04T09:03:36.5931799Z 2025-12-04T09:03:36.5933356Z nn/test_convolution 1/2 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.2_623f6dfe48abe7d0_.log 2025-12-04T09:03:36.5934849Z Running 0 items in this shard: 2025-12-04T09:03:36.5935214Z 2025-12-04T09:03:36.5935748Z Finished nn/test_convolution 1/2 ... [2025-12-04 09:03:36.592997][907.248990895], took 0.07min 2025-12-04T09:03:36.5956731Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-4ef90978a01caa60.xml 2025-12-04T09:03:36.6208101Z Running nn/test_convolution 2/2 ... [2025-12-04 09:03:36.620594][907.276589215] 2025-12-04T09:03:36.6208849Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:36.6212244Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'nn/test_convolution.py', '--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 09:03:36.620909] 2025-12-04T09:03:40.5929320Z 2025-12-04T09:03:40.5930609Z nn/test_convolution 2/2 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_2.2_a8187e4f14ef8169_.log 2025-12-04T09:03:40.5932089Z Running 0 items in this shard: 2025-12-04T09:03:40.5932442Z 2025-12-04T09:03:40.5954310Z Finished nn/test_convolution 2/2 ... [2025-12-04 09:03:40.592726][911.248719827], took 0.07min 2025-12-04T09:03:40.5956045Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-5cc844923d44ed84.xml 2025-12-04T09:03:40.6200811Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 09:03:40.619862][911.275856962] 2025-12-04T09:03:40.6201593Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:40.6205239Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:40.620193] 2025-12-04T09:03:43.2932271Z 2025-12-04T09:03:43.2933720Z 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_976a42d0dd8260d0_.log 2025-12-04T09:03:43.2935264Z Running 0 items in this shard: 2025-12-04T09:03:43.2935632Z 2025-12-04T09:03:43.2936177Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 09:03:43.293036][913.949029403], took 0.04min 2025-12-04T09:03:43.2959533Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-8391e8fc5329adc0.xml 2025-12-04T09:03:43.3263373Z Running test_cuda_trace 1/1 ... [2025-12-04 09:03:43.326085][913.982079774] 2025-12-04T09:03:43.3264123Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:43.3267126Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:43.326404] 2025-12-04T09:03:45.8998634Z 2025-12-04T09:03:45.8999850Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_d0ca99b64b256266_.log 2025-12-04T09:03:45.9000597Z Running 0 items in this shard: 2025-12-04T09:03:45.9001535Z 2025-12-04T09:03:45.9001812Z Finished test_cuda_trace 1/1 ... [2025-12-04 09:03:45.899681][916.555674266], took 0.04min 2025-12-04T09:03:45.9024748Z Running test_native_mha 1/1 ... [2025-12-04 09:03:45.902293][916.558287413] 2025-12-04T09:03:45.9025414Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:45.9028445Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:45.902592] 2025-12-04T09:03:48.5743547Z 2025-12-04T09:03:48.5744404Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_ad65c0a1c644aa54_.log 2025-12-04T09:03:48.5745141Z Running 0 items in this shard: 2025-12-04T09:03:48.5745335Z 2025-12-04T09:03:48.5745603Z Finished test_native_mha 1/1 ... [2025-12-04 09:03:48.574181][919.230174168], took 0.04min 2025-12-04T09:03:48.5769091Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-78c5765f2394a39c.xml 2025-12-04T09:03:48.5999489Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:03:48.599763][919.255757778] 2025-12-04T09:03:48.6000005Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:48.6002824Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:48.600044] 2025-12-04T09:03:51.2111194Z 2025-12-04T09:03:51.2112157Z 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_107943286e237e7f_.log 2025-12-04T09:03:51.2112994Z Running 0 items in this shard: 2025-12-04T09:03:51.2113200Z 2025-12-04T09:03:51.2113496Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:03:51.210926][921.866919038], took 0.04min 2025-12-04T09:03:51.2137528Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:03:51.213600][921.869594517] 2025-12-04T09:03:51.2138023Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:51.2141279Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:51.213891] 2025-12-04T09:03:58.5664306Z 2025-12-04T09:03:58.5665621Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_b89ffc3814fd8cbf_.log 2025-12-04T09:03:58.5700158Z 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 2025-12-04T09:03:58.5733578Z 2025-12-04T09:03:58.5733868Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:03:58.566262][929.222253968], took 0.12min 2025-12-04T09:03:58.5734944Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-3dea46aa1adf5dbd.xml 2025-12-04T09:03:58.6441072Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 09:03:58.643837][929.299830463] 2025-12-04T09:03:58.6441779Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:58.6444223Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:58.644158] 2025-12-04T09:04:01.2695494Z 2025-12-04T09:04:01.2696388Z 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_9aa0726e268a36a4_.log 2025-12-04T09:04:01.2697161Z Running 0 items in this shard: 2025-12-04T09:04:01.2697629Z 2025-12-04T09:04:01.2697901Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 09:04:01.269359][931.92535255], took 0.04min 2025-12-04T09:04:01.2723388Z Running distributions/test_distributions 1/3 ... [2025-12-04 09:04:01.272164][931.928158705] 2025-12-04T09:04:01.2723933Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:04:01.2727120Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--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 09:04:01.272470] 2025-12-04T09:04:04.8596921Z 2025-12-04T09:04:04.8598040Z distributions/test_distributions 1/3 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.3_d6cdc137ab36ef40_.log 2025-12-04T09:04:04.8617838Z 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 2025-12-04T09:04:04.8637261Z 2025-12-04T09:04:04.8637663Z Finished distributions/test_distributions 1/3 ... [2025-12-04 09:04:04.859563][935.515552457], took 0.06min 2025-12-04T09:04:04.8638927Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-59bc9ac25f55386c.xml 2025-12-04T09:04:04.9358499Z Running distributions/test_distributions 2/3 ... [2025-12-04 09:04:04.935575][935.591568864] 2025-12-04T09:04:04.9359051Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:04:04.9361665Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:04:04.935893] 2025-12-04T09:04:08.3922746Z 2025-12-04T09:04:08.3923901Z distributions/test_distributions 2/3 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_2.3_b94c007b3df708a7_.log 2025-12-04T09:04:08.3924855Z Running 0 items in this shard: 2025-12-04T09:04:08.3925046Z 2025-12-04T09:04:08.3925426Z Finished distributions/test_distributions 2/3 ... [2025-12-04 09:04:08.392086][939.048079516], took 0.06min 2025-12-04T09:04:08.3955644Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-9564d5c47270d793.xml 2025-12-04T09:04:08.4175972Z Running distributions/test_distributions 3/3 ... [2025-12-04 09:04:08.417385][939.073379708] 2025-12-04T09:04:08.4176552Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:04:08.4179529Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'distributions/test_distributions.py', '--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 09:04:08.417687] 2025-12-04T09:04:11.8375916Z 2025-12-04T09:04:11.8377184Z distributions/test_distributions 3/3 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_3.3_3bb4cc43e89c67e9_.log 2025-12-04T09:04:11.8378133Z Running 0 items in this shard: 2025-12-04T09:04:11.8378325Z 2025-12-04T09:04:11.8378675Z Finished distributions/test_distributions 3/3 ... [2025-12-04 09:04:11.837421][942.493413722], took 0.06min 2025-12-04T09:04:11.8406168Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-311ab21d7db8158b.xml 2025-12-04T09:04:11.8621483Z Running test_autoload_disable 1/1 ... [2025-12-04 09:04:11.861947][942.517940185] 2025-12-04T09:04:12.1627567Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:04:14.7555864Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:04:14.7580844Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:04:23.8046589Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:04:23.8300071Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=10130069 sha256=caf5f6155b37a9617f67e187c74f9e230832edea72184da4f2a934287d52efa9 2025-12-04T09:04:23.8301540Z Stored in directory: /tmp/pip-ephem-wheel-cache-h5p_xbv1/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782 2025-12-04T09:04:23.8319305Z Successfully built torch_test_cpp_extension 2025-12-04T09:04:23.9815053Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:04:24.1441945Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:04:26.1961678Z 2025-12-04T09:04:26.1962235Z Running tests... 2025-12-04T09:04:26.1962696Z ---------------------------------------------------------------------- 2025-12-04T09:04:26.5524826Z . 2025-12-04T09:04:26.5525192Z ---------------------------------------------------------------------- 2025-12-04T09:04:26.5525578Z Ran 1 test in 0.356s 2025-12-04T09:04:26.5525748Z 2025-12-04T09:04:26.5525826Z OK 2025-12-04T09:04:26.5525954Z 2025-12-04T09:04:26.5526082Z Generating XML reports... 2025-12-04T09:04:27.1787131Z Finished test_autoload_disable 1/1 ... [2025-12-04 09:04:27.178362][957.83434858], took 0.26min 2025-12-04T09:04:27.1817727Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204090426.xml 2025-12-04T09:04:27.2487311Z Running test_autoload_enable 1/1 ... [2025-12-04 09:04:27.248475][957.904467672] 2025-12-04T09:04:27.5511422Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:04:30.1713531Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:04:30.1739889Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:04:38.9692234Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:04:38.9946547Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=10130069 sha256=4ffee9c2ebc5ef61a85219a391facbfd5d2db4f9fe0084f20b313883b5650af4 2025-12-04T09:04:38.9948808Z Stored in directory: /tmp/pip-ephem-wheel-cache-4i3hmxlu/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782 2025-12-04T09:04:38.9967512Z Successfully built torch_test_cpp_extension 2025-12-04T09:04:39.1424815Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:04:39.3068868Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:04:41.3627028Z 2025-12-04T09:04:41.3627608Z Running tests... 2025-12-04T09:04:41.3627976Z ---------------------------------------------------------------------- 2025-12-04T09:04:41.7182693Z . 2025-12-04T09:04:41.7183240Z ---------------------------------------------------------------------- 2025-12-04T09:04:41.7183877Z Ran 1 test in 0.356s 2025-12-04T09:04:41.7184174Z 2025-12-04T09:04:41.7184307Z OK 2025-12-04T09:04:41.7184508Z 2025-12-04T09:04:41.7184689Z Generating XML reports... 2025-12-04T09:04:42.3519316Z Finished test_autoload_enable 1/1 ... [2025-12-04 09:04:42.351545][973.007531899], took 0.25min 2025-12-04T09:04:42.3550967Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204090441.xml 2025-12-04T09:04:42.4116788Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:04:42.411471][973.067465463] 2025-12-04T09:04:42.7501563Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:04:45.3702721Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:04:45.3726399Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:04:52.0246271Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:04:52.0339152Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=3224930 sha256=a2193ddbc186a8a916dba94e16e6869d8465915131bf445eb535d68025326086 2025-12-04T09:04:52.0341630Z Stored in directory: /tmp/pip-ephem-wheel-cache-wh1rrf2s/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782 2025-12-04T09:04:52.0360855Z Successfully built torch_test_cpp_extension 2025-12-04T09:04:52.1847733Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:04:52.2572167Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:04:52.6123174Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:04:54.1326847Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:04:54.1351416Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:04:55.9006460Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:04:55.9012758Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp314-cp314-linux_x86_64.whl size=2967 sha256=d57822ddbe7c7e4d84eee600d5968f96e04441b16021056dba62b599759e65cc 2025-12-04T09:04:55.9014303Z Stored in directory: /tmp/pip-ephem-wheel-cache-i1fue268/wheels/82/6c/52/5a0d6507470d8e3a015c6b1af4cf42c6953d0bd7727d8a52d6 2025-12-04T09:04:55.9033240Z Successfully built no_python_abi_suffix_test 2025-12-04T09:04:56.0511713Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:04:56.0614940Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:04:56.1227802Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:04:56.1231422Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:04:56.122817] 2025-12-04T09:04:58.7410633Z 2025-12-04T09:04:58.7411838Z 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_15da8f1669ee3843_.log 2025-12-04T09:04:58.7412710Z Running 0 items in this shard: 2025-12-04T09:04:58.7412903Z 2025-12-04T09:04:58.7446537Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:04:58.740944][989.396935319], took 0.27min 2025-12-04T09:04:58.7447679Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-d2393949749b913f.xml 2025-12-04T09:04:58.8150675Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:04:58.814849][989.470842927] 2025-12-04T09:04:59.1154809Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:05:01.8556065Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:05:01.8607742Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:05:10.8327279Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:05:10.8582304Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=10130069 sha256=51283e5d3c99c68abc56d5864686c490ddb7c25ec377af7008b5b5b39bb57d76 2025-12-04T09:05:10.8583717Z Stored in directory: /tmp/pip-ephem-wheel-cache-pbqr9oo9/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782 2025-12-04T09:05:10.8601726Z Successfully built torch_test_cpp_extension 2025-12-04T09:05:11.0081750Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:05:11.1732340Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:05:11.5318091Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:05:13.0527182Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:05:13.0551099Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:05:14.7536169Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ done 2025-12-04T09:05:14.7542648Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp314-cp314-linux_x86_64.whl size=2967 sha256=acfe4bfea07b2eb260cbf059ff06e5e3fd2f36adce271a6a29304535479415aa 2025-12-04T09:05:14.7544144Z Stored in directory: /tmp/pip-ephem-wheel-cache-f6bfb4_l/wheels/82/6c/52/5a0d6507470d8e3a015c6b1af4cf42c6953d0bd7727d8a52d6 2025-12-04T09:05:14.7564058Z Successfully built no_python_abi_suffix_test 2025-12-04T09:05:14.9033687Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:05:14.9135967Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:05:14.9744137Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:05:14.9747824Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:05:14.974507] 2025-12-04T09:05:17.5958396Z 2025-12-04T09:05:17.5959965Z 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_0d664c0620151a74_.log 2025-12-04T09:05:17.5960843Z Running 0 items in this shard: 2025-12-04T09:05:17.5961037Z 2025-12-04T09:05:17.5961362Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:05:17.595742][1008.251733429], took 0.31min 2025-12-04T09:05:17.5992314Z 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-1618adcce472914e.xml 2025-12-04T09:05:17.6698998Z Running dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 09:05:17.669661][1008.325655643] 2025-12-04T09:05:17.6699639Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:05:17.6702534Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_dynamic_shapes.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 09:05:17.669959] 2025-12-04T09:05:25.2896805Z 2025-12-04T09:05:25.2898342Z dynamo/test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_1.1_7d69f0df4fce6c77_.log 2025-12-04T09:05:25.2899772Z 2025-12-04T09:05:25.2900376Z Finished dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 09:05:25.289462][1015.94545273], took 0.13min 2025-12-04T09:05:25.2935226Z Running dynamo/test_functions 1/1 ... [2025-12-04 09:05:25.293237][1015.949231663] 2025-12-04T09:05:25.2935993Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:05:25.2939454Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_functions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:05:25.293593] 2025-12-04T09:05:31.3844092Z 2025-12-04T09:05:31.3845285Z dynamo/test_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_functions_1.1_31f5959df6baa358_.log 2025-12-04T09:05:31.3845990Z 2025-12-04T09:05:31.3846282Z Finished dynamo/test_functions 1/1 ... [2025-12-04 09:05:31.384217][1022.04020907], took 0.10min 2025-12-04T09:05:31.3884374Z Running dynamo/test_sets 1/1 ... [2025-12-04 09:05:31.388263][1022.044257595] 2025-12-04T09:05:31.3885246Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:05:31.3888409Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:05:31.388566] 2025-12-04T09:05:34.1068685Z 2025-12-04T09:05:34.1069815Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_4fd3de202121fecb_.log 2025-12-04T09:05:34.1070465Z 2025-12-04T09:05:34.1070727Z Finished dynamo/test_sets 1/1 ... [2025-12-04 09:05:34.106681][1024.762671574], took 0.05min 2025-12-04T09:05:34.1108840Z Running test_jit_fuser_te 1/1 ... [2025-12-04 09:05:34.110703][1024.766695759] 2025-12-04T09:05:34.1109518Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:05:34.1112762Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_jit_fuser_te.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:05:34.111007] 2025-12-04T09:05:38.7703160Z 2025-12-04T09:05:38.7704321Z test_jit_fuser_te 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_1.1_f04edee2706227fb_.log 2025-12-04T09:05:38.7704971Z 2025-12-04T09:05:38.7705228Z Finished test_jit_fuser_te 1/1 ... [2025-12-04 09:05:38.770112][1029.426105121], took 0.08min 2025-12-04T09:05:38.7743725Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:05:38.774178][1029.430171995] 2025-12-04T09:05:38.7744380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:05:38.7747357Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:05:38.774468] 2025-12-04T09:05:44.7792099Z 2025-12-04T09:05:44.7793262Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_d9c7fd4a8afd86d1_.log 2025-12-04T09:05:44.7794196Z 2025-12-04T09:05:44.7794599Z Finished dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:05:44.778979][1035.434972608], took 0.10min 2025-12-04T09:05:44.7828087Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:05:44.782631][1035.438623724] 2025-12-04T09:05:44.7828601Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:05:44.7832198Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_higher_order_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 09:05:44.782968] 2025-12-04T09:05:51.5564919Z 2025-12-04T09:05:51.5566938Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_3be48498eec153bf_.log 2025-12-04T09:05:51.5568417Z 2025-12-04T09:05:51.5569041Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:05:51.556220][1042.212211226], took 0.11min 2025-12-04T09:05:51.5602984Z Running dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 09:05:51.560042][1042.216036613] 2025-12-04T09:05:51.5603807Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:05:51.5607268Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_deque_reconstruct.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 09:05:51.560391] 2025-12-04T09:05:54.0513772Z 2025-12-04T09:05:54.0514830Z dynamo/test_deque_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deque_reconstruct_1.1_374df47b0afb8397_.log 2025-12-04T09:05:54.0515607Z 2025-12-04T09:05:54.0515968Z Finished dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 09:05:54.051158][1044.707151949], took 0.04min 2025-12-04T09:05:54.0549343Z Running dynamo/test_model_output 1/1 ... [2025-12-04 09:05:54.054743][1044.71073783] 2025-12-04T09:05:54.0549824Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:05:54.0552721Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_model_output.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:05:54.055040] 2025-12-04T09:05:56.8345332Z 2025-12-04T09:05:56.8346339Z dynamo/test_model_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_model_output_1.1_a82a9c53a89ba372_.log 2025-12-04T09:05:56.8347055Z 2025-12-04T09:05:56.8347400Z Finished dynamo/test_model_output 1/1 ... [2025-12-04 09:05:56.834335][1047.490327564], took 0.05min 2025-12-04T09:05:56.8385653Z Running dynamo/test_modules 1/1 ... [2025-12-04 09:05:56.838390][1047.494384695] 2025-12-04T09:05:56.8386131Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:05:56.8389510Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:05:56.838712] 2025-12-04T09:06:03.0007847Z 2025-12-04T09:06:03.0008745Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_c531d4bc19fcb8d4_.log 2025-12-04T09:06:03.0009434Z 2025-12-04T09:06:03.0009716Z Finished dynamo/test_modules 1/1 ... [2025-12-04 09:06:03.000597][1053.656587279], took 0.10min 2025-12-04T09:06:03.0048813Z Running dynamo/test_recompiles 1/1 ... [2025-12-04 09:06:03.004694][1053.660688572] 2025-12-04T09:06:03.0049310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:03.0052389Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_recompiles.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:03.005004] 2025-12-04T09:06:05.7310892Z 2025-12-04T09:06:05.7311811Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_f4634f7775456ec8_.log 2025-12-04T09:06:05.7312565Z 2025-12-04T09:06:05.7312867Z Finished dynamo/test_recompiles 1/1 ... [2025-12-04 09:06:05.730887][1056.38687878], took 0.05min 2025-12-04T09:06:05.7351598Z Running dynamo/test_utils 1/1 ... [2025-12-04 09:06:05.734987][1056.39098043] 2025-12-04T09:06:05.7352064Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:05.7355670Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:05.735302] 2025-12-04T09:06:08.2165081Z 2025-12-04T09:06:08.2165981Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_0bc0b8f4efd17137_.log 2025-12-04T09:06:08.2166648Z 2025-12-04T09:06:08.2166959Z Finished dynamo/test_utils 1/1 ... [2025-12-04 09:06:08.216286][1058.872278221], took 0.04min 2025-12-04T09:06:08.2201515Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 09:06:08.219948][1058.875941975] 2025-12-04T09:06:08.2202066Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:08.2205206Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_skip_guard_eval_unsafe.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 09:06:08.220264] 2025-12-04T09:06:11.0078467Z 2025-12-04T09:06:11.0079547Z dynamo/test_skip_guard_eval_unsafe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_guard_eval_unsafe_1.1_395fe3ccd8673ac4_.log 2025-12-04T09:06:11.0080418Z 2025-12-04T09:06:11.0080760Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 09:06:11.007625][1061.663616797], took 0.05min 2025-12-04T09:06:11.0118165Z Running dynamo/test_view 1/1 ... [2025-12-04 09:06:11.011631][1061.667624776] 2025-12-04T09:06:11.0118799Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:11.0121950Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_view.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 09:06:11.011958] 2025-12-04T09:06:13.5160160Z 2025-12-04T09:06:13.5161513Z dynamo/test_view 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_view_1.1_253a867822ad454f_.log 2025-12-04T09:06:13.5162737Z 2025-12-04T09:06:13.5163244Z Finished dynamo/test_view 1/1 ... [2025-12-04 09:06:13.515787][1064.171779203], took 0.04min 2025-12-04T09:06:13.5199508Z Running dynamo/test_subgraphs 1/1 ... [2025-12-04 09:06:13.519689][1064.175682463] 2025-12-04T09:06:13.5200264Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:13.5204100Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_subgraphs.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 09:06:13.520059] 2025-12-04T09:06:16.2236080Z 2025-12-04T09:06:16.2237611Z dynamo/test_subgraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subgraphs_1.1_8c7b6f18200e4126_.log 2025-12-04T09:06:16.2238955Z 2025-12-04T09:06:16.2239521Z Finished dynamo/test_subgraphs 1/1 ... [2025-12-04 09:06:16.223413][1066.879407027], took 0.05min 2025-12-04T09:06:16.2274911Z Running dynamo/test_pgo 1/1 ... [2025-12-04 09:06:16.227241][1066.883235064] 2025-12-04T09:06:16.2275639Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:16.2279605Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_pgo.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 09:06:16.227620] 2025-12-04T09:06:18.9377843Z 2025-12-04T09:06:18.9379538Z dynamo/test_pgo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pgo_1.1_8f42330fa09002a3_.log 2025-12-04T09:06:18.9380765Z 2025-12-04T09:06:18.9381251Z Finished dynamo/test_pgo 1/1 ... [2025-12-04 09:06:18.937548][1069.593540555], took 0.05min 2025-12-04T09:06:18.9416028Z Running dynamo/test_nops 1/1 ... [2025-12-04 09:06:18.941355][1069.597349153] 2025-12-04T09:06:18.9416761Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:18.9420570Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_nops.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 09:06:18.941719] 2025-12-04T09:06:21.6452753Z 2025-12-04T09:06:21.6454090Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_024756c2cd728432_.log 2025-12-04T09:06:21.6455329Z 2025-12-04T09:06:21.6455848Z Finished dynamo/test_nops 1/1 ... [2025-12-04 09:06:21.645044][1072.301037655], took 0.05min 2025-12-04T09:06:21.6490763Z Running dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 09:06:21.648829][1072.304823831] 2025-12-04T09:06:21.6491571Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:21.6494610Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_graph_region_tracker.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:21.649186] 2025-12-04T09:06:24.3686856Z 2025-12-04T09:06:24.3687858Z dynamo/test_graph_region_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_region_tracker_1.1_01be09f59979bf6e_.log 2025-12-04T09:06:24.3688632Z 2025-12-04T09:06:24.3688991Z Finished dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 09:06:24.368468][1075.024460962], took 0.05min 2025-12-04T09:06:24.3723155Z Running dynamo/test_install_free_tensors 1/1 ... [2025-12-04 09:06:24.372109][1075.028103158] 2025-12-04T09:06:24.3723692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:24.3726596Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_install_free_tensors.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 09:06:24.372411] 2025-12-04T09:06:27.1439788Z 2025-12-04T09:06:27.1441441Z dynamo/test_install_free_tensors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_install_free_tensors_1.1_7093e1e68628e758_.log 2025-12-04T09:06:27.1442255Z 2025-12-04T09:06:27.1442607Z Finished dynamo/test_install_free_tensors 1/1 ... [2025-12-04 09:06:27.143762][1077.799754572], took 0.05min 2025-12-04T09:06:27.1475320Z Running dynamo/test_profiler 1/1 ... [2025-12-04 09:06:27.147339][1077.803333135] 2025-12-04T09:06:27.1475801Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:27.1478951Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_profiler.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 09:06:27.147644] 2025-12-04T09:06:29.8698120Z 2025-12-04T09:06:29.8699365Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_ab2cd4a0c8496d30_.log 2025-12-04T09:06:29.8700087Z 2025-12-04T09:06:29.8700370Z Finished dynamo/test_profiler 1/1 ... [2025-12-04 09:06:29.869578][1080.525571003], took 0.05min 2025-12-04T09:06:29.8734273Z Running dynamo/test_nested_graph_breaks 1/1 ... [2025-12-04 09:06:29.873212][1080.529205295] 2025-12-04T09:06:29.8735253Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:29.8738305Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_nested_graph_breaks.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 09:06:29.873534] 2025-12-04T09:06:32.6152857Z 2025-12-04T09:06:32.6154049Z dynamo/test_nested_graph_breaks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nested_graph_breaks_1.1_1d63015906cadbfe_.log 2025-12-04T09:06:32.6155062Z 2025-12-04T09:06:32.6155402Z Finished dynamo/test_nested_graph_breaks 1/1 ... [2025-12-04 09:06:32.615078][1083.271069324], took 0.05min 2025-12-04T09:06:32.6189188Z Running dynamo/test_deviceguard 1/1 ... [2025-12-04 09:06:32.618721][1083.27471543] 2025-12-04T09:06:32.6189894Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:32.6193281Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_deviceguard.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 09:06:32.619052] 2025-12-04T09:06:35.3106172Z 2025-12-04T09:06:35.3107448Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_54488ef8ff81e3e2_.log 2025-12-04T09:06:35.3108167Z 2025-12-04T09:06:35.3108473Z Finished dynamo/test_deviceguard 1/1 ... [2025-12-04 09:06:35.310403][1085.966395091], took 0.04min 2025-12-04T09:06:35.3142534Z Running dynamo/test_modes 1/1 ... [2025-12-04 09:06:35.314041][1085.97003488] 2025-12-04T09:06:35.3143183Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:35.3146432Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_modes.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 09:06:35.314371] 2025-12-04T09:06:41.3012570Z 2025-12-04T09:06:41.3013795Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_5e2ffe5f64c48c6f_.log 2025-12-04T09:06:41.3014456Z 2025-12-04T09:06:41.3014739Z Finished dynamo/test_modes 1/1 ... [2025-12-04 09:06:41.301042][1091.957033635], took 0.10min 2025-12-04T09:06:41.3049012Z Running dynamo/test_base_hop 1/1 ... [2025-12-04 09:06:41.304711][1091.960705917] 2025-12-04T09:06:41.3049682Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:41.3052910Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_base_hop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:41.305023] 2025-12-04T09:06:44.0481572Z 2025-12-04T09:06:44.0482844Z dynamo/test_base_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_hop_1.1_07a0bb6b07e55d13_.log 2025-12-04T09:06:44.0483519Z 2025-12-04T09:06:44.0483816Z Finished dynamo/test_base_hop 1/1 ... [2025-12-04 09:06:44.047926][1094.703919122], took 0.05min 2025-12-04T09:06:44.0517662Z Running dynamo/test_python_dispatcher 1/1 ... [2025-12-04 09:06:44.051571][1094.707565141] 2025-12-04T09:06:44.0518340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:44.0521626Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_python_dispatcher.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 09:06:44.051893] 2025-12-04T09:06:46.7549450Z 2025-12-04T09:06:46.7550544Z dynamo/test_python_dispatcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_dispatcher_1.1_81de6c6896e83111_.log 2025-12-04T09:06:46.7551304Z 2025-12-04T09:06:46.7551631Z Finished dynamo/test_python_dispatcher 1/1 ... [2025-12-04 09:06:46.754694][1097.41068762], took 0.05min 2025-12-04T09:06:46.7585513Z Running dynamo/test_callback 1/1 ... [2025-12-04 09:06:46.758334][1097.414327008] 2025-12-04T09:06:46.7586127Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:46.7588855Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_callback.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:46.758648] 2025-12-04T09:06:52.7650884Z 2025-12-04T09:06:52.7652088Z dynamo/test_callback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_callback_1.1_bebd43952f56b779_.log 2025-12-04T09:06:52.7652770Z 2025-12-04T09:06:52.7653068Z Finished dynamo/test_callback 1/1 ... [2025-12-04 09:06:52.764847][1103.420839245], took 0.10min 2025-12-04T09:06:52.7686732Z Running dynamo/test_flat_apply 1/1 ... [2025-12-04 09:06:52.768469][1103.424463181] 2025-12-04T09:06:52.7687380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:52.7690827Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:52.768786] 2025-12-04T09:06:55.5026008Z 2025-12-04T09:06:55.5027233Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_e4767557f12e3216_.log 2025-12-04T09:06:55.5027938Z 2025-12-04T09:06:55.5028229Z Finished dynamo/test_flat_apply 1/1 ... [2025-12-04 09:06:55.502390][1106.15838316], took 0.05min 2025-12-04T09:06:55.5063097Z Running dynamo/test_graph_deduplication 1/1 ... [2025-12-04 09:06:55.506087][1106.162081724] 2025-12-04T09:06:55.5063719Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:55.5066801Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:55.506411] 2025-12-04T09:06:58.2694481Z 2025-12-04T09:06:58.2695802Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_558aea23a7da0c64_.log 2025-12-04T09:06:58.2696602Z 2025-12-04T09:06:58.2696961Z Finished dynamo/test_graph_deduplication 1/1 ... [2025-12-04 09:06:58.269238][1108.925230694], took 0.05min 2025-12-04T09:06:58.2730455Z Running dynamo/test_bytecode_utils 1/1 ... [2025-12-04 09:06:58.272852][1108.928845611] 2025-12-04T09:06:58.2731069Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:58.2734278Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_bytecode_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:58.273163] 2025-12-04T09:07:01.0107555Z 2025-12-04T09:07:01.0108594Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_90936d4c354342cd_.log 2025-12-04T09:07:01.0109373Z 2025-12-04T09:07:01.0109962Z Finished dynamo/test_bytecode_utils 1/1 ... [2025-12-04 09:07:01.010571][1111.666561258], took 0.05min 2025-12-04T09:07:01.0144213Z Running dynamo/test_torchrec 1/1 ... [2025-12-04 09:07:01.014238][1111.670231705] 2025-12-04T09:07:01.0144683Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:01.0148301Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:01.014607] 2025-12-04T09:07:03.7447522Z 2025-12-04T09:07:03.7448471Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_320d3de27b0dfce8_.log 2025-12-04T09:07:03.7449492Z 2025-12-04T09:07:03.7449783Z Finished dynamo/test_torchrec 1/1 ... [2025-12-04 09:07:03.744544][1114.400537481], took 0.05min 2025-12-04T09:07:03.7483610Z Running dynamo/test_trace_rules 1/1 ... [2025-12-04 09:07:03.748139][1114.404133698] 2025-12-04T09:07:03.7484276Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:03.7487398Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_trace_rules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:03.748472] 2025-12-04T09:07:06.2323237Z 2025-12-04T09:07:06.2324218Z dynamo/test_trace_rules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_trace_rules_1.1_2e90424d7b2806b7_.log 2025-12-04T09:07:06.2324949Z 2025-12-04T09:07:06.2325245Z Finished dynamo/test_trace_rules 1/1 ... [2025-12-04 09:07:06.232107][1116.888100046], took 0.04min 2025-12-04T09:07:06.2359806Z Running dynamo/test_subclasses 1/1 ... [2025-12-04 09:07:06.235782][1116.891777018] 2025-12-04T09:07:06.2360307Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:06.2363394Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_subclasses.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:06.236100] 2025-12-04T09:07:12.3165333Z 2025-12-04T09:07:12.3166531Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_8e86b426ae4bb1a4_.log 2025-12-04T09:07:12.3167231Z 2025-12-04T09:07:12.3167528Z Finished dynamo/test_subclasses 1/1 ... [2025-12-04 09:07:12.316340][1122.972330708], took 0.10min 2025-12-04T09:07:12.3201675Z Running dynamo/test_comptime 1/1 ... [2025-12-04 09:07:12.319978][1122.975972781] 2025-12-04T09:07:12.3202330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:12.3205521Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:12.320290] 2025-12-04T09:07:15.0946411Z 2025-12-04T09:07:15.0947595Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_0b4fd759eb5eec26_.log 2025-12-04T09:07:15.0948291Z 2025-12-04T09:07:15.0948577Z Finished dynamo/test_comptime 1/1 ... [2025-12-04 09:07:15.094433][1125.750424963], took 0.05min 2025-12-04T09:07:15.0982697Z Running xpu/test_fusion 1/1 ... [2025-12-04 09:07:15.098081][1125.754075164] 2025-12-04T09:07:15.0983430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:15.0986709Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'xpu/test_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:15.098382] 2025-12-04T09:07:17.7156818Z 2025-12-04T09:07:17.7157862Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_5e3f47f6cab9739d_.log 2025-12-04T09:07:17.7159254Z Running 0 items in this shard: 2025-12-04T09:07:17.7159542Z 2025-12-04T09:07:17.7159819Z Finished xpu/test_fusion 1/1 ... [2025-12-04 09:07:17.715518][1128.371510091], took 0.04min 2025-12-04T09:07:17.7194067Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-a2205fb3eabe5b78.xml 2025-12-04T09:07:17.7761285Z Running xpu/test_gemm 1/1 ... [2025-12-04 09:07:17.775900][1128.4318952] 2025-12-04T09:07:17.7761752Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:17.7764347Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'xpu/test_gemm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:17.776187] 2025-12-04T09:07:20.7499429Z 2025-12-04T09:07:20.7500299Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_e16c4d006651b571_.log 2025-12-04T09:07:20.7501003Z Running 0 items in this shard: 2025-12-04T09:07:20.7501206Z 2025-12-04T09:07:20.7501456Z Finished xpu/test_gemm 1/1 ... [2025-12-04 09:07:20.749769][1131.405762249], took 0.05min 2025-12-04T09:07:20.7535329Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_gemm/xpu.test_gemm-9c2591e1d32b46a0.xml 2025-12-04T09:07:20.7791759Z Running functorch/test_ac 1/1 ... [2025-12-04 09:07:20.778969][1131.434963496] 2025-12-04T09:07:20.7792241Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:20.7794889Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:20.779255] 2025-12-04T09:07:26.7908123Z 2025-12-04T09:07:26.7909418Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_520f1a578a2c3b19_.log 2025-12-04T09:07:26.7910541Z 2025-12-04T09:07:26.7910979Z Finished functorch/test_ac 1/1 ... [2025-12-04 09:07:26.790578][1137.446571651], took 0.10min 2025-12-04T09:07:26.7947633Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 09:07:26.794516][1137.450509711] 2025-12-04T09:07:26.7948150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:26.7950751Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:26.794834] 2025-12-04T09:07:29.3984164Z 2025-12-04T09:07:29.3985563Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_76480db34260b2a4_.log 2025-12-04T09:07:29.3987038Z Running 0 items in this shard: 2025-12-04T09:07:29.3987381Z 2025-12-04T09:07:29.3987904Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 09:07:29.398204][1140.054197431], took 0.04min 2025-12-04T09:07:29.4022868Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-cb2f7a370de3bbdd.xml 2025-12-04T09:07:29.4734720Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 09:07:29.473166][1140.129161399] 2025-12-04T09:07:29.4735903Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:29.4738490Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:29.473460] 2025-12-04T09:07:32.1327271Z 2025-12-04T09:07:32.1328580Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_481a29295d2fa153_.log 2025-12-04T09:07:32.1330045Z Running 0 items in this shard: 2025-12-04T09:07:32.1330249Z 2025-12-04T09:07:32.1330747Z Finished cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 09:07:32.132554][1142.788547882], took 0.04min 2025-12-04T09:07:32.1365897Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.python_agnostic_extension.test.test_python_agnostic/cpp_extensions.python_agnostic_extension.test.test_python_agnostic-0899daa5fa0fca11.xml 2025-12-04T09:07:32.1580179Z Running optim/test_optim 1/1 ... [2025-12-04 09:07:32.157828][1142.813822688] 2025-12-04T09:07:32.1580719Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:32.1583649Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'optim/test_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:32.158133] 2025-12-04T09:07:34.6499120Z 2025-12-04T09:07:34.6500542Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_5650640ac98cb473_.log 2025-12-04T09:07:34.6501761Z 2025-12-04T09:07:34.6502300Z Finished optim/test_optim 1/1 ... [2025-12-04 09:07:34.649696][1145.305687945], took 0.04min 2025-12-04T09:07:34.6541581Z Running functorch/test_vmap 3/5 ... [2025-12-04 09:07:34.653914][1145.309908017] 2025-12-04T09:07:34.6542332Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:34.6545840Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'serial', '--shard-id=3', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:34.654258] 2025-12-04T09:07:41.5381168Z 2025-12-04T09:07:41.5382084Z functorch/test_vmap 3/5 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_3.5_7ac41baa78b73f6b_.log 2025-12-04T09:07:41.5382923Z Running 0 items in this shard: 2025-12-04T09:07:41.5383175Z 2025-12-04T09:07:41.5383511Z Finished functorch/test_vmap 3/5 ... [2025-12-04 09:07:41.537928][1152.193922786], took 0.11min 2025-12-04T09:07:41.5424573Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap/functorch.test_vmap-0b027904d8c8f603.xml 2025-12-04T09:07:41.6191282Z Running test_xnnpack_integration 1/1 ... [2025-12-04 09:07:41.618897][1152.274891707] 2025-12-04T09:07:41.6191914Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:41.6194128Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:41.619172] 2025-12-04T09:07:44.2601146Z 2025-12-04T09:07:44.2602171Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_5c0ab729556c3a1a_.log 2025-12-04T09:07:44.2603010Z Running 0 items in this shard: 2025-12-04T09:07:44.2603202Z 2025-12-04T09:07:44.2603735Z Finished test_xnnpack_integration 1/1 ... [2025-12-04 09:07:44.259887][1154.915879375], took 0.04min 2025-12-04T09:07:44.2640801Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_xnnpack_integration/test_xnnpack_integration-257afc4deca2fe91.xml 2025-12-04T09:07:44.2912160Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:07:44.291018][1154.947012949] 2025-12-04T09:07:44.2912752Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:44.2916445Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:44.291331] 2025-12-04T09:07:46.9756489Z 2025-12-04T09:07:46.9758396Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_9b469def6e137789_.log 2025-12-04T09:07:46.9760289Z Running 0 items in this shard: 2025-12-04T09:07:46.9760638Z 2025-12-04T09:07:46.9761377Z Finished torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:07:46.975470][1157.631462054], took 0.04min 2025-12-04T09:07:46.9800709Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numerictypes/torch_np.numpy_tests.core.test_numerictypes-8d59fa9270d9fc07.xml 2025-12-04T09:07:47.0047592Z Running test_function_schema 1/1 ... [2025-12-04 09:07:47.004514][1157.660508017] 2025-12-04T09:07:47.0048421Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:47.0051610Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_function_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:47.004834] 2025-12-04T09:07:49.6104443Z 2025-12-04T09:07:49.6105875Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_ac28cdb21e9154a3_.log 2025-12-04T09:07:49.6107388Z Running 0 items in this shard: 2025-12-04T09:07:49.6107740Z 2025-12-04T09:07:49.6108269Z Finished test_function_schema 1/1 ... [2025-12-04 09:07:49.610178][1160.266171404], took 0.04min 2025-12-04T09:07:49.6148049Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_function_schema/test_function_schema-8e5c60d4cdd471f0.xml 2025-12-04T09:07:49.6421002Z Running test_accelerator 1/1 ... [2025-12-04 09:07:49.641887][1160.297881596] 2025-12-04T09:07:49.6421786Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:49.6425443Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_accelerator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:49.642215] 2025-12-04T09:07:52.1560909Z 2025-12-04T09:07:52.1562217Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_76b955df55fa9bf6_.log 2025-12-04T09:07:52.1563424Z 2025-12-04T09:07:52.1563929Z Finished test_accelerator 1/1 ... [2025-12-04 09:07:52.155907][1162.811900848], took 0.04min 2025-12-04T09:07:52.1607604Z Running nn/test_init 1/1 ... [2025-12-04 09:07:52.160539][1162.816533276] 2025-12-04T09:07:52.1608328Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:52.1612221Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'nn/test_init.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:52.160873] 2025-12-04T09:07:55.2664372Z 2025-12-04T09:07:55.2665227Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_cee36a606ce05c57_.log 2025-12-04T09:07:55.2665941Z Running 0 items in this shard: 2025-12-04T09:07:55.2666146Z 2025-12-04T09:07:55.2666390Z Finished nn/test_init 1/1 ... [2025-12-04 09:07:55.266249][1165.922242717], took 0.05min 2025-12-04T09:07:55.2706788Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_init/nn.test_init-0d9f180b1109b583.xml 2025-12-04T09:07:55.2983859Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:07:55.298165][1165.954158838] 2025-12-04T09:07:55.2984602Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:55.2987673Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:55.298479] 2025-12-04T09:07:58.0246832Z 2025-12-04T09:07:58.0247958Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_59dfb5cc4f0e3c20_.log 2025-12-04T09:07:58.0248976Z Running 0 items in this shard: 2025-12-04T09:07:58.0249180Z 2025-12-04T09:07:58.0249588Z Finished torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:07:58.024496][1168.680487949], took 0.05min 2025-12-04T09:07:58.0291439Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_methods/torch_np.numpy_tests.core.test_scalar_methods-4cf2d3c38d985611.xml 2025-12-04T09:07:58.0549514Z Running torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:07:58.054755][1168.710749982] 2025-12-04T09:07:58.0550072Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:58.0553041Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_helper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:58.055069] 2025-12-04T09:08:00.6835941Z 2025-12-04T09:08:00.6837852Z torch_np/numpy_tests/fft/test_helper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_a017b3711e8d592f_.log 2025-12-04T09:08:00.6839658Z Running 0 items in this shard: 2025-12-04T09:08:00.6840183Z 2025-12-04T09:08:00.6840856Z Finished torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:08:00.683430][1171.339424434], took 0.04min 2025-12-04T09:08:00.6885166Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_helper/torch_np.numpy_tests.fft.test_helper-8b5d9ebfa9d42d3a.xml 2025-12-04T09:08:00.7158440Z Running torch_np/test_function_base 1/1 ... [2025-12-04 09:08:00.715623][1171.371617582] 2025-12-04T09:08:00.7159267Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:00.7162789Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/test_function_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:00.715950] 2025-12-04T09:08:03.3792319Z 2025-12-04T09:08:03.3793356Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_71f4e8914719496d_.log 2025-12-04T09:08:03.3794263Z Running 0 items in this shard: 2025-12-04T09:08:03.3794710Z 2025-12-04T09:08:03.3795088Z Finished torch_np/test_function_base 1/1 ... [2025-12-04 09:08:03.379032][1174.035026305], took 0.04min 2025-12-04T09:08:03.3838660Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_function_base/torch_np.test_function_base-866a3feb8d53f3e2.xml 2025-12-04T09:08:03.4131807Z Running test_type_promotion 1/1 ... [2025-12-04 09:08:03.412966][1174.068960677] 2025-12-04T09:08:03.4132316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:03.4135295Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_type_promotion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:03.413285] 2025-12-04T09:08:06.6251221Z 2025-12-04T09:08:06.6252632Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_465b0bfb60597493_.log 2025-12-04T09:08:06.6254080Z Running 0 items in this shard: 2025-12-04T09:08:06.6254428Z 2025-12-04T09:08:06.6254956Z Finished test_type_promotion 1/1 ... [2025-12-04 09:08:06.624936][1177.280930321], took 0.05min 2025-12-04T09:08:06.6301221Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_promotion/test_type_promotion-fba81ed4a1ff811b.xml 2025-12-04T09:08:06.6527562Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:08:06.652530][1177.308524768] 2025-12-04T09:08:06.6528404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:06.6531564Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:06.652844] 2025-12-04T09:08:09.3021118Z 2025-12-04T09:08:09.3022699Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_53e358ba32fd6378_.log 2025-12-04T09:08:09.3024330Z Running 0 items in this shard: 2025-12-04T09:08:09.3024695Z 2025-12-04T09:08:09.3025299Z Finished torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:08:09.301898][1179.957891862], took 0.04min 2025-12-04T09:08:09.3072557Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_scalars_0D_arrays/torch_np.test_scalars_0D_arrays-9f9dc41f43e7f2cd.xml 2025-12-04T09:08:09.3337727Z Running profiler/test_profiler_tree 1/1 ... [2025-12-04 09:08:09.333574][1179.989568138] 2025-12-04T09:08:09.3338234Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:09.3341209Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:09.333852] 2025-12-04T09:08:11.9899565Z 2025-12-04T09:08:11.9900830Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_ff9bdc469141c90c_.log 2025-12-04T09:08:11.9901700Z Running 0 items in this shard: 2025-12-04T09:08:11.9901891Z 2025-12-04T09:08:11.9902223Z Finished profiler/test_profiler_tree 1/1 ... [2025-12-04 09:08:11.989777][1182.645769978], took 0.04min 2025-12-04T09:08:11.9949368Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_profiler_tree/profiler.test_profiler_tree-00d8074cd1f83b91.xml 2025-12-04T09:08:12.0218129Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:08:12.021622][1182.677617065] 2025-12-04T09:08:12.0219024Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:12.0221418Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:12.021896] 2025-12-04T09:08:14.7138681Z 2025-12-04T09:08:14.7139769Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_f463dc0d7d04f347_.log 2025-12-04T09:08:14.7141171Z Running 0 items in this shard: 2025-12-04T09:08:14.7141363Z 2025-12-04T09:08:14.7141756Z Finished torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:08:14.713615][1185.369608705], took 0.04min 2025-12-04T09:08:14.7188946Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraysetops/torch_np.numpy_tests.lib.test_arraysetops-c5f96822e85b8317.xml 2025-12-04T09:08:14.7454221Z Running test_dlpack 1/1 ... [2025-12-04 09:08:14.745225][1185.401219484] 2025-12-04T09:08:14.7454667Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:14.7457585Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_dlpack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:14.745506] 2025-12-04T09:08:17.5483779Z 2025-12-04T09:08:17.5484646Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_4548da3314693506_.log 2025-12-04T09:08:17.5485342Z Running 0 items in this shard: 2025-12-04T09:08:17.5485530Z 2025-12-04T09:08:17.5485780Z Finished test_dlpack 1/1 ... [2025-12-04 09:08:17.548195][1188.204188394], took 0.05min 2025-12-04T09:08:17.5535154Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dlpack/test_dlpack-dd4bd4925bf0e409.xml 2025-12-04T09:08:17.5817464Z Running profiler/test_torch_tidy 1/1 ... [2025-12-04 09:08:17.581517][1188.237511274] 2025-12-04T09:08:17.5818166Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:17.5821077Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:17.581817] 2025-12-04T09:08:20.2105975Z 2025-12-04T09:08:20.2107194Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_6cf9a33e1308cfd2_.log 2025-12-04T09:08:20.2108026Z Running 0 items in this shard: 2025-12-04T09:08:20.2108247Z 2025-12-04T09:08:20.2108562Z Finished profiler/test_torch_tidy 1/1 ... [2025-12-04 09:08:20.210318][1190.866311607], took 0.04min 2025-12-04T09:08:20.2158134Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_torch_tidy/profiler.test_torch_tidy-f4ec2a20229bedfa.xml 2025-12-04T09:08:20.2394448Z Running lazy/test_reuse_ir 1/1 ... [2025-12-04 09:08:20.239232][1190.895226561] 2025-12-04T09:08:20.2395030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:20.2398112Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:20.239526] 2025-12-04T09:08:22.8811515Z 2025-12-04T09:08:22.8812641Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_3e373e8650293d34_.log 2025-12-04T09:08:22.8813422Z Running 0 items in this shard: 2025-12-04T09:08:22.8813629Z 2025-12-04T09:08:22.8813900Z Finished lazy/test_reuse_ir 1/1 ... [2025-12-04 09:08:22.880967][1193.536959336], took 0.04min 2025-12-04T09:08:22.8865594Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_reuse_ir/lazy.test_reuse_ir-6be6d76c90cde2ad.xml 2025-12-04T09:08:22.9126502Z Running test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:08:22.912432][1193.568426382] 2025-12-04T09:08:22.9127057Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:22.9129830Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:22.912736] 2025-12-04T09:08:25.5334499Z 2025-12-04T09:08:25.5335863Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_fc3ee809a4403106_.log 2025-12-04T09:08:25.5336795Z Running 0 items in this shard: 2025-12-04T09:08:25.5337000Z 2025-12-04T09:08:25.5337351Z Finished test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:08:25.533269][1196.189262813], took 0.04min 2025-12-04T09:08:25.5389752Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_autograd_benchmark/test_functional_autograd_benchmark-06a9edccfd611f32.xml 2025-12-04T09:08:25.5665748Z Running torch_np/test_reductions 1/1 ... [2025-12-04 09:08:25.566374][1196.222369366] 2025-12-04T09:08:25.5666381Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:25.5669344Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:25.566663] 2025-12-04T09:08:29.6506456Z 2025-12-04T09:08:29.6507476Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_bf102960e3a1eedb_.log 2025-12-04T09:08:29.6508365Z Running 0 items in this shard: 2025-12-04T09:08:29.6508575Z 2025-12-04T09:08:29.6508874Z Finished torch_np/test_reductions 1/1 ... [2025-12-04 09:08:29.650451][1200.306444005], took 0.07min 2025-12-04T09:08:29.6562874Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_reductions/torch_np.test_reductions-4ca3965190e57c72.xml 2025-12-04T09:08:29.6807776Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:08:29.680476][1200.336470965] 2025-12-04T09:08:29.6808479Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:29.6810489Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:29.680786] 2025-12-04T09:08:32.3788744Z 2025-12-04T09:08:32.3789751Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_b4a3ce76818a27cf_.log 2025-12-04T09:08:32.3790716Z Running 0 items in this shard: 2025-12-04T09:08:32.3790940Z 2025-12-04T09:08:32.3791322Z Finished torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:08:32.378688][1203.034681116], took 0.04min 2025-12-04T09:08:32.3846854Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_ctors/torch_np.numpy_tests.core.test_scalar_ctors-4a11e51b2a27d5cd.xml 2025-12-04T09:08:32.4115492Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:08:32.411319][1203.067313695] 2025-12-04T09:08:32.4116043Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:32.4118886Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:32.411631] 2025-12-04T09:08:35.0450338Z 2025-12-04T09:08:35.0451574Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_b91f556fdbbffcc9_.log 2025-12-04T09:08:35.0452540Z Running 0 items in this shard: 2025-12-04T09:08:35.0452733Z 2025-12-04T09:08:35.0453145Z Finished torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:08:35.044845][1205.700837775], took 0.04min 2025-12-04T09:08:35.0509324Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraypad/torch_np.numpy_tests.lib.test_arraypad-0995c023c6a2a36f.xml 2025-12-04T09:08:35.0726721Z Running test_prims 1/1 ... [2025-12-04 09:08:35.072487][1205.728481498] 2025-12-04T09:08:35.0727156Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:35.0730093Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_prims.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:35.072791] 2025-12-04T09:08:38.6167622Z 2025-12-04T09:08:38.6169067Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_2fdaf723fff03e7c_.log 2025-12-04T09:08:38.6170399Z Running 0 items in this shard: 2025-12-04T09:08:38.6170758Z 2025-12-04T09:08:38.6171208Z Finished test_prims 1/1 ... [2025-12-04 09:08:38.616484][1209.272477011], took 0.06min 2025-12-04T09:08:38.6227853Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_prims/test_prims-13269fd6f313d662.xml 2025-12-04T09:08:38.6464550Z Running profiler/test_python_tracer 1/1 ... [2025-12-04 09:08:38.646261][1209.302255421] 2025-12-04T09:08:38.6465150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:38.6467985Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'profiler/test_python_tracer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:38.646536] 2025-12-04T09:08:41.2435748Z 2025-12-04T09:08:41.2436826Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_84f6fba7f8b51c94_.log 2025-12-04T09:08:41.2437830Z Running 0 items in this shard: 2025-12-04T09:08:41.2438024Z 2025-12-04T09:08:41.2438399Z Finished profiler/test_python_tracer 1/1 ... [2025-12-04 09:08:41.243376][1211.899368945], took 0.04min 2025-12-04T09:08:41.2496288Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_python_tracer/profiler.test_python_tracer-901d98d9fb6495c9.xml 2025-12-04T09:08:41.2788089Z Running cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:08:41.278571][1211.934565805] 2025-12-04T09:08:41.2788936Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:41.2791683Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:41.278843] 2025-12-04T09:08:43.8983733Z 2025-12-04T09:08:43.8985143Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_b0050f9560665de3_.log 2025-12-04T09:08:43.8986455Z Running 0 items in this shard: 2025-12-04T09:08:43.8986662Z 2025-12-04T09:08:43.8987191Z Finished cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:08:43.898126][1214.554120137], took 0.04min 2025-12-04T09:08:43.9045928Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility-ba5ff902af257f39.xml 2025-12-04T09:08:43.9312203Z Running test_torchfuzz_repros 1/1 ... [2025-12-04 09:08:43.931025][1214.58701898] 2025-12-04T09:08:43.9312758Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:43.9315342Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_torchfuzz_repros.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:43.931293] 2025-12-04T09:08:46.5253314Z 2025-12-04T09:08:46.5254247Z test_torchfuzz_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torchfuzz_repros_1.1_21397e284fdeb9bb_.log 2025-12-04T09:08:46.5255062Z Running 0 items in this shard: 2025-12-04T09:08:46.5255267Z 2025-12-04T09:08:46.5255555Z Finished test_torchfuzz_repros 1/1 ... [2025-12-04 09:08:46.525145][1217.1811394], took 0.04min 2025-12-04T09:08:46.5315742Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-f673d1d6d623ff61.xml 2025-12-04T09:08:48.7010657Z Running dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 09:08:48.700650][1219.356642807] 2025-12-04T09:08:48.7011384Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:48.7013264Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_dynamic_shapes.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 09:08:48.701018] 2025-12-04T09:08:48.7200549Z Running dynamo/test_functions 1/1 ... [2025-12-04 09:08:48.719752][1219.37574182] 2025-12-04T09:08:48.7201066Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:48.7204317Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_functions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:48.720115] 2025-12-04T09:08:48.7623955Z Running dynamo/test_sets 1/1 ... [2025-12-04 09:08:48.762062][1219.418053569] 2025-12-04T09:08:48.7624483Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:48.7627570Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:48.762441] 2025-12-04T09:08:51.8111105Z 2025-12-04T09:08:51.8112496Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_52be064bbaa7695d_.log 2025-12-04T09:08:51.8114093Z 2025-12-04T09:08:51.8114574Z Finished dynamo/test_sets 1/1 ... [2025-12-04 09:08:51.810834][1222.466824058], took 0.05min 2025-12-04T09:08:54.7416582Z Running test_jit_fuser_te 1/1 ... [2025-12-04 09:08:54.741243][1225.397233413] 2025-12-04T09:08:54.7417110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:54.7420592Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_jit_fuser_te.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:54.741660] 2025-12-04T09:08:55.3224313Z 2025-12-04T09:08:55.3225481Z dynamo/test_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_functions_1.1_c69148ca07828135_.log 2025-12-04T09:08:55.3226236Z 2025-12-04T09:08:55.3226600Z Finished dynamo/test_functions 1/1 ... [2025-12-04 09:08:55.322190][1225.978178604], took 0.11min 2025-12-04T09:08:58.0647595Z 2025-12-04T09:08:58.0649068Z dynamo/test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_1.1_967623bf591ef596_.log 2025-12-04T09:08:58.0650184Z 2025-12-04T09:08:58.0650714Z Finished dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 09:08:58.064539][1228.720528397], took 0.16min 2025-12-04T09:08:58.2736255Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:08:58.273107][1228.929095227] 2025-12-04T09:08:58.2737341Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:58.2739915Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:58.273551] 2025-12-04T09:08:59.4495008Z 2025-12-04T09:08:59.4496571Z test_jit_fuser_te 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_1.1_228e13679f9924ab_.log 2025-12-04T09:08:59.4497538Z 2025-12-04T09:08:59.4497820Z Finished test_jit_fuser_te 1/1 ... [2025-12-04 09:08:59.449318][1230.10530905], took 0.08min 2025-12-04T09:09:01.0781604Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:09:01.077707][1231.733698909] 2025-12-04T09:09:01.0782580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:01.0784905Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_higher_order_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 09:09:01.078095] 2025-12-04T09:09:02.4052444Z Running dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 09:09:02.404786][1233.060776467] 2025-12-04T09:09:02.4053429Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:02.4055808Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_deque_reconstruct.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:02.405199] 2025-12-04T09:09:05.0720424Z 2025-12-04T09:09:05.0722379Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_94b0bc4c74e065ce_.log 2025-12-04T09:09:05.0724039Z 2025-12-04T09:09:05.0724724Z Finished dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 09:09:05.071726][1235.727718687], took 0.11min 2025-12-04T09:09:05.2712088Z 2025-12-04T09:09:05.2713965Z dynamo/test_deque_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deque_reconstruct_1.1_aff9dee353d537a3_.log 2025-12-04T09:09:05.2715278Z 2025-12-04T09:09:05.2715814Z Finished dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 09:09:05.270866][1235.926856599], took 0.05min 2025-12-04T09:09:08.0262921Z Running dynamo/test_model_output 1/1 ... [2025-12-04 09:09:08.025840][1238.681830818] 2025-12-04T09:09:08.0263842Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:08.0266248Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_model_output.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:08.026258] 2025-12-04T09:09:08.2272123Z Running dynamo/test_modules 1/1 ... [2025-12-04 09:09:08.226826][1238.882817195] 2025-12-04T09:09:08.2272640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:08.2275818Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:08.227235] 2025-12-04T09:09:08.6955471Z 2025-12-04T09:09:08.6956942Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_eed5831b30859b55_.log 2025-12-04T09:09:08.6958434Z 2025-12-04T09:09:08.6959043Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:09:08.695301][1239.351290233], took 0.13min 2025-12-04T09:09:11.0533620Z 2025-12-04T09:09:11.0535165Z dynamo/test_model_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_model_output_1.1_e531ea06e2fe01c9_.log 2025-12-04T09:09:11.0536549Z 2025-12-04T09:09:11.0537134Z Finished dynamo/test_model_output 1/1 ... [2025-12-04 09:09:11.052986][1241.7089778], took 0.05min 2025-12-04T09:09:11.5958734Z Running dynamo/test_recompiles 1/1 ... [2025-12-04 09:09:11.595440][1242.251427844] 2025-12-04T09:09:11.5959280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:11.5963275Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_recompiles.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:11.595964] 2025-12-04T09:09:13.9662711Z Running dynamo/test_utils 1/1 ... [2025-12-04 09:09:13.965867][1244.621854731] 2025-12-04T09:09:13.9663249Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:13.9666650Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:13.966354] 2025-12-04T09:09:14.6286752Z 2025-12-04T09:09:14.6287737Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_057e8ecd12fd7f20_.log 2025-12-04T09:09:14.6288523Z 2025-12-04T09:09:14.6288824Z Finished dynamo/test_recompiles 1/1 ... [2025-12-04 09:09:14.628430][1245.28441998], took 0.05min 2025-12-04T09:09:15.1199910Z 2025-12-04T09:09:15.1201190Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_68d7e5133bac82e1_.log 2025-12-04T09:09:15.1201870Z 2025-12-04T09:09:15.1202196Z Finished dynamo/test_modules 1/1 ... [2025-12-04 09:09:15.119783][1245.775771994], took 0.11min 2025-12-04T09:09:16.7134002Z 2025-12-04T09:09:16.7135233Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_9db975e9b9ecd17e_.log 2025-12-04T09:09:16.7136180Z 2025-12-04T09:09:16.7136468Z Finished dynamo/test_utils 1/1 ... [2025-12-04 09:09:16.713161][1247.369150731], took 0.05min 2025-12-04T09:09:17.5654875Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 09:09:17.565073][1248.221064767] 2025-12-04T09:09:17.5655618Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:17.5657745Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_skip_guard_eval_unsafe.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:17.565467] 2025-12-04T09:09:18.1040522Z Running dynamo/test_view 1/1 ... [2025-12-04 09:09:18.103687][1248.759678771] 2025-12-04T09:09:18.1041027Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:18.1044225Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_view.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:18.104094] 2025-12-04T09:09:19.5642874Z Running dynamo/test_subgraphs 1/1 ... [2025-12-04 09:09:19.563794][1250.219782318] 2025-12-04T09:09:19.5643529Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:19.5645234Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_subgraphs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:19.564236] 2025-12-04T09:09:20.6078999Z 2025-12-04T09:09:20.6080636Z dynamo/test_skip_guard_eval_unsafe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_guard_eval_unsafe_1.1_d980105b307e1f12_.log 2025-12-04T09:09:20.6082140Z 2025-12-04T09:09:20.6082780Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 09:09:20.607517][1251.263510512], took 0.05min 2025-12-04T09:09:20.8057253Z 2025-12-04T09:09:20.8058660Z dynamo/test_view 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_view_1.1_3d3052bfd9a3bbe0_.log 2025-12-04T09:09:20.8059933Z 2025-12-04T09:09:20.8060436Z Finished dynamo/test_view 1/1 ... [2025-12-04 09:09:20.805438][1251.461429418], took 0.05min 2025-12-04T09:09:22.5445591Z 2025-12-04T09:09:22.5447206Z dynamo/test_subgraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subgraphs_1.1_cc7118037e2c3704_.log 2025-12-04T09:09:22.5448559Z 2025-12-04T09:09:22.5449058Z Finished dynamo/test_subgraphs 1/1 ... [2025-12-04 09:09:22.544306][1253.200296341], took 0.05min 2025-12-04T09:09:23.6481635Z Running dynamo/test_pgo 1/1 ... [2025-12-04 09:09:23.647749][1254.303739384] 2025-12-04T09:09:23.6482555Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:23.6484919Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_pgo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:23.648134] 2025-12-04T09:09:23.7554976Z Running dynamo/test_nops 1/1 ... [2025-12-04 09:09:23.755072][1254.411063712] 2025-12-04T09:09:23.7555756Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:23.7558618Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_nops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:23.755486] 2025-12-04T09:09:25.4341318Z Running dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 09:09:25.433611][1256.089603148] 2025-12-04T09:09:25.4342427Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:25.4344888Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_graph_region_tracker.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:25.433981] 2025-12-04T09:09:26.6317773Z 2025-12-04T09:09:26.6318897Z dynamo/test_pgo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pgo_1.1_d3179a0e15951ee1_.log 2025-12-04T09:09:26.6320300Z 2025-12-04T09:09:26.6320664Z Finished dynamo/test_pgo 1/1 ... [2025-12-04 09:09:26.631488][1257.287476725], took 0.05min 2025-12-04T09:09:26.7356039Z 2025-12-04T09:09:26.7357409Z dynamo/test_nops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nops_1.1_681a5427629ac2a4_.log 2025-12-04T09:09:26.7358498Z 2025-12-04T09:09:26.7358940Z Finished dynamo/test_nops 1/1 ... [2025-12-04 09:09:26.735260][1257.391252048], took 0.05min 2025-12-04T09:09:28.4310219Z 2025-12-04T09:09:28.4311804Z dynamo/test_graph_region_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_region_tracker_1.1_cf69974f660ba4db_.log 2025-12-04T09:09:28.4313136Z 2025-12-04T09:09:28.4313704Z Finished dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 09:09:28.430756][1259.086745338], took 0.05min 2025-12-04T09:09:29.6207340Z Running dynamo/test_install_free_tensors 1/1 ... [2025-12-04 09:09:29.620290][1260.276281319] 2025-12-04T09:09:29.6208027Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:29.6210140Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_install_free_tensors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:29.620690] 2025-12-04T09:09:29.7227316Z Running dynamo/test_profiler 1/1 ... [2025-12-04 09:09:29.722336][1260.37832791] 2025-12-04T09:09:29.7227890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:29.7230464Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:29.722723] 2025-12-04T09:09:31.2809598Z Running dynamo/test_nested_graph_breaks 1/1 ... [2025-12-04 09:09:31.280451][1261.936438477] 2025-12-04T09:09:31.2810528Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:31.2812966Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_nested_graph_breaks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:31.280914] 2025-12-04T09:09:32.6056641Z 2025-12-04T09:09:32.6058416Z dynamo/test_install_free_tensors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_install_free_tensors_1.1_35cfc83d1f35073d_.log 2025-12-04T09:09:32.6059854Z 2025-12-04T09:09:32.6060462Z Finished dynamo/test_install_free_tensors 1/1 ... [2025-12-04 09:09:32.605377][1263.26136826], took 0.05min 2025-12-04T09:09:32.7562657Z 2025-12-04T09:09:32.7564061Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_79b3850f6785fe1c_.log 2025-12-04T09:09:34.2733788Z 2025-12-04T09:09:34.2734694Z Finished dynamo/test_profiler 1/1 ... [2025-12-04 09:09:32.755968][1263.411959195], took 0.05min 2025-12-04T09:09:34.2735474Z 2025-12-04T09:09:34.2736937Z dynamo/test_nested_graph_breaks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nested_graph_breaks_1.1_6cca27c6dc510c0c_.log 2025-12-04T09:09:34.2738350Z 2025-12-04T09:09:34.2738950Z Finished dynamo/test_nested_graph_breaks 1/1 ... [2025-12-04 09:09:34.273090][1264.929082934], took 0.05min 2025-12-04T09:09:35.5010626Z Running dynamo/test_deviceguard 1/1 ... [2025-12-04 09:09:35.500644][1266.156634868] 2025-12-04T09:09:35.5011208Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:35.5013890Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_deviceguard.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:35.501084] 2025-12-04T09:09:35.7645913Z Running dynamo/test_modes 1/1 ... [2025-12-04 09:09:35.764142][1266.42013397] 2025-12-04T09:09:35.7648300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:35.7649814Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_modes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:35.764554] 2025-12-04T09:09:37.2014134Z Running dynamo/test_base_hop 1/1 ... [2025-12-04 09:09:37.200989][1267.856981002] 2025-12-04T09:09:37.2014879Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:37.2016643Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_base_hop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:37.201374] 2025-12-04T09:09:38.4519230Z 2025-12-04T09:09:38.4520745Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_cef45dc49bd1df5c_.log 2025-12-04T09:09:38.4522101Z 2025-12-04T09:09:38.4522692Z Finished dynamo/test_deviceguard 1/1 ... [2025-12-04 09:09:38.451634][1269.107624253], took 0.05min 2025-12-04T09:09:40.1227835Z 2025-12-04T09:09:40.1228809Z dynamo/test_base_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_hop_1.1_e63d0ceda56af7cb_.log 2025-12-04T09:09:40.1229547Z 2025-12-04T09:09:40.1229836Z Finished dynamo/test_base_hop 1/1 ... [2025-12-04 09:09:40.122516][1270.778507453], took 0.05min 2025-12-04T09:09:41.4105651Z Running dynamo/test_python_dispatcher 1/1 ... [2025-12-04 09:09:41.410106][1272.066096953] 2025-12-04T09:09:41.4106577Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:41.4108941Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_python_dispatcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:41.410523] 2025-12-04T09:09:42.4754396Z 2025-12-04T09:09:42.4755873Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_117651d8178b6a20_.log 2025-12-04T09:09:42.4757087Z 2025-12-04T09:09:42.4757632Z Finished dynamo/test_modes 1/1 ... [2025-12-04 09:09:42.475089][1273.131078859], took 0.11min 2025-12-04T09:09:42.9996436Z Running dynamo/test_callback 1/1 ... [2025-12-04 09:09:42.999237][1273.655227797] 2025-12-04T09:09:42.9997067Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:43.0000377Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_callback.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:42.999637] 2025-12-04T09:09:44.3611988Z 2025-12-04T09:09:44.3613246Z dynamo/test_python_dispatcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_dispatcher_1.1_745decfeaf202329_.log 2025-12-04T09:09:44.3614123Z 2025-12-04T09:09:44.3614470Z Finished dynamo/test_python_dispatcher 1/1 ... [2025-12-04 09:09:44.360913][1275.016905307], took 0.05min 2025-12-04T09:09:45.3852508Z Running dynamo/test_flat_apply 1/1 ... [2025-12-04 09:09:45.384785][1276.040774548] 2025-12-04T09:09:45.3853332Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:45.3859578Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:45.385535] 2025-12-04T09:09:47.2674433Z Running dynamo/test_graph_deduplication 1/1 ... [2025-12-04 09:09:47.267003][1277.922994977] 2025-12-04T09:09:47.2675173Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:47.2677082Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:47.267384] 2025-12-04T09:09:48.4628152Z 2025-12-04T09:09:48.4629582Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_cc664ad02a822796_.log 2025-12-04T09:09:48.4630894Z 2025-12-04T09:09:48.4631420Z Finished dynamo/test_flat_apply 1/1 ... [2025-12-04 09:09:48.462513][1279.118501458], took 0.05min 2025-12-04T09:09:49.6478351Z 2025-12-04T09:09:49.6479873Z dynamo/test_callback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_callback_1.1_550b4b48e3ffc538_.log 2025-12-04T09:09:49.6481245Z 2025-12-04T09:09:49.6481794Z Finished dynamo/test_callback 1/1 ... [2025-12-04 09:09:49.647608][1280.303596326], took 0.11min 2025-12-04T09:09:50.3499124Z 2025-12-04T09:09:50.3500572Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_c809d49ca35d9a29_.log 2025-12-04T09:09:50.3501895Z 2025-12-04T09:09:50.3502442Z Finished dynamo/test_graph_deduplication 1/1 ... [2025-12-04 09:09:50.349649][1281.005638294], took 0.05min 2025-12-04T09:09:51.4054317Z Running dynamo/test_bytecode_utils 1/1 ... [2025-12-04 09:09:51.404921][1282.060910117] 2025-12-04T09:09:51.4055263Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:51.4059482Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_bytecode_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:51.405543] 2025-12-04T09:09:52.6402576Z Running dynamo/test_torchrec 1/1 ... [2025-12-04 09:09:52.639846][1283.295837893] 2025-12-04T09:09:52.6403241Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:52.6405353Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:52.640214] 2025-12-04T09:09:53.3132170Z Running dynamo/test_trace_rules 1/1 ... [2025-12-04 09:09:53.312800][1283.96879069] 2025-12-04T09:09:53.3133002Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:53.3136667Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_trace_rules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:53.313233] 2025-12-04T09:09:54.4389992Z 2025-12-04T09:09:54.4391429Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_6ef2ba679f5d925d_.log 2025-12-04T09:09:54.4392642Z 2025-12-04T09:09:54.4393130Z Finished dynamo/test_bytecode_utils 1/1 ... [2025-12-04 09:09:54.438658][1285.094650129], took 0.05min 2025-12-04T09:09:55.7000234Z 2025-12-04T09:09:55.7002035Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_71c702418fef0646_.log 2025-12-04T09:09:55.7003250Z 2025-12-04T09:09:55.7003756Z Finished dynamo/test_torchrec 1/1 ... [2025-12-04 09:09:55.699832][1286.355821522], took 0.05min 2025-12-04T09:09:56.0514678Z 2025-12-04T09:09:56.0516092Z dynamo/test_trace_rules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_trace_rules_1.1_e439876092226c24_.log 2025-12-04T09:09:56.0517433Z 2025-12-04T09:09:56.0517943Z Finished dynamo/test_trace_rules 1/1 ... [2025-12-04 09:09:56.051164][1286.707156593], took 0.05min 2025-12-04T09:09:57.3417892Z Running dynamo/test_subclasses 1/1 ... [2025-12-04 09:09:57.341362][1287.997354045] 2025-12-04T09:09:57.3418527Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:57.3420673Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_subclasses.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:57.341737] 2025-12-04T09:09:58.6067574Z Running dynamo/test_comptime 1/1 ... [2025-12-04 09:09:58.606324][1289.262315686] 2025-12-04T09:09:58.6068249Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:58.6070459Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:58.606724] 2025-12-04T09:09:59.0248004Z Running xpu/test_fusion 1/1 ... [2025-12-04 09:09:59.024366][1289.680357376] 2025-12-04T09:09:59.0248870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:59.0251175Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'xpu/test_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:59.024739] 2025-12-04T09:10:01.6262777Z 2025-12-04T09:10:01.6264057Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_b2fbe3a92ec9916b_.log 2025-12-04T09:10:01.6265084Z 2025-12-04T09:10:01.6265505Z Finished dynamo/test_comptime 1/1 ... [2025-12-04 09:10:01.626061][1292.282052416], took 0.05min 2025-12-04T09:10:01.6310563Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-2aa52d4aa909f94a.xml 2025-12-04T09:10:02.0000175Z 2025-12-04T09:10:02.0001452Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_5b0691a5134f4970_.log 2025-12-04T09:10:02.0003123Z Running 0 items in this shard: 2025-12-04T09:10:02.0003558Z 2025-12-04T09:10:02.0004292Z Finished xpu/test_fusion 1/1 ... [2025-12-04 09:10:02.000027][1292.656016134], took 0.05min 2025-12-04T09:10:03.9930019Z 2025-12-04T09:10:03.9931708Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_b37fe37a1e3a0140_.log 2025-12-04T09:10:03.9932492Z 2025-12-04T09:10:03.9932816Z Finished dynamo/test_subclasses 1/1 ... [2025-12-04 09:10:03.992549][1294.648538623], took 0.11min 2025-12-04T09:10:04.6660295Z Running xpu/test_gemm 1/1 ... [2025-12-04 09:10:04.665628][1295.321618511] 2025-12-04T09:10:04.6661053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:04.6664422Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'xpu/test_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 09:10:04.666051] 2025-12-04T09:10:04.9948052Z Running functorch/test_ac 1/1 ... [2025-12-04 09:10:04.994379][1295.65036708] 2025-12-04T09:10:04.9948904Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:04.9954014Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:04.994983] 2025-12-04T09:10:06.8312246Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 09:10:06.830798][1297.486789247] 2025-12-04T09:10:06.8313057Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:06.8315705Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:06.831205] 2025-12-04T09:10:07.9548256Z 2025-12-04T09:10:07.9549678Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_a2fc8f5f6b7c121d_.log 2025-12-04T09:10:07.9551013Z Running 0 items in this shard: 2025-12-04T09:10:07.9551385Z 2025-12-04T09:10:07.9551826Z Finished xpu/test_gemm 1/1 ... [2025-12-04 09:10:07.954695][1298.61068641], took 0.05min 2025-12-04T09:10:07.9622247Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_gemm/xpu.test_gemm-2aea9dfcf213188a.xml 2025-12-04T09:10:09.8031518Z 2025-12-04T09:10:09.8032878Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_bfae1ce71f15ee4e_.log 2025-12-04T09:10:09.8033658Z Running 0 items in this shard: 2025-12-04T09:10:09.8033866Z 2025-12-04T09:10:09.8034165Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 09:10:09.802993][1300.458984842], took 0.05min 2025-12-04T09:10:09.8106034Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-0279e031f6919036.xml 2025-12-04T09:10:10.8987711Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 09:10:10.898363][1301.554351646] 2025-12-04T09:10:10.8988437Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:10.8991829Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:10.898834] 2025-12-04T09:10:11.7076243Z 2025-12-04T09:10:11.7077710Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_0ebec11276c072d0_.log 2025-12-04T09:10:11.7078766Z 2025-12-04T09:10:11.7079142Z Finished functorch/test_ac 1/1 ... [2025-12-04 09:10:11.707320][1302.363310354], took 0.11min 2025-12-04T09:10:12.7650208Z Running optim/test_optim 1/1 ... [2025-12-04 09:10:12.764536][1303.420524499] 2025-12-04T09:10:12.7651117Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:12.7656309Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'optim/test_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:12.765221] 2025-12-04T09:10:13.7789680Z 2025-12-04T09:10:13.7791742Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_feb58a1a52af63f0_.log 2025-12-04T09:10:13.7794312Z Running 0 items in this shard: 2025-12-04T09:10:13.7794624Z 2025-12-04T09:10:13.7795451Z Finished cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 09:10:13.778780][1304.434768437], took 0.05min 2025-12-04T09:10:13.7848168Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.python_agnostic_extension.test.test_python_agnostic/cpp_extensions.python_agnostic_extension.test.test_python_agnostic-541ad5ab5db20a97.xml 2025-12-04T09:10:14.6120082Z Running functorch/test_vmap 3/5 ... [2025-12-04 09:10:14.611526][1305.267517323] 2025-12-04T09:10:14.6120973Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:14.6123356Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'not serial', '--shard-id=3', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:14.611906] 2025-12-04T09:10:15.5053873Z 2025-12-04T09:10:15.5055151Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_b341e8ff0cb8ddc1_.log 2025-12-04T09:10:15.5056388Z 2025-12-04T09:10:15.5056876Z Finished optim/test_optim 1/1 ... [2025-12-04 09:10:15.505278][1306.161268019], took 0.05min 2025-12-04T09:10:16.7004348Z Running test_xnnpack_integration 1/1 ... [2025-12-04 09:10:16.700006][1307.355997749] 2025-12-04T09:10:16.7005200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:16.7007756Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:16.700420] 2025-12-04T09:10:18.4202251Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:10:18.419775][1309.075765154] 2025-12-04T09:10:18.4202984Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:18.4204978Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:18.420162] 2025-12-04T09:10:19.5737729Z 2025-12-04T09:10:19.5739130Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_1bfa9d246ec9e8ed_.log 2025-12-04T09:10:19.5740299Z Running 0 items in this shard: 2025-12-04T09:10:19.5740505Z 2025-12-04T09:10:19.5740810Z Finished test_xnnpack_integration 1/1 ... [2025-12-04 09:10:19.573727][1310.229717422], took 0.05min 2025-12-04T09:10:19.5791817Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_xnnpack_integration/test_xnnpack_integration-2f47de5637ba2569.xml 2025-12-04T09:10:21.3518096Z 2025-12-04T09:10:21.3520634Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_857583f5ad4aafa4_.log 2025-12-04T09:10:21.3532642Z Running 0 items in this shard: 2025-12-04T09:10:21.3533115Z 2025-12-04T09:10:21.3533874Z Finished torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:10:21.351759][1312.007747522], took 0.05min 2025-12-04T09:10:21.3578772Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap/functorch.test_vmap-19d1ffb854ee8eb7.xml 2025-12-04T09:10:21.3809225Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numerictypes/torch_np.numpy_tests.core.test_numerictypes-0d05557d867851f3.xml 2025-12-04T09:10:22.0829037Z 2025-12-04T09:10:22.0830471Z functorch/test_vmap 3/5 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_3.5_90786a5c3893bc59_.log 2025-12-04T09:10:22.0831861Z Running 0 items in this shard: 2025-12-04T09:10:22.0832196Z 2025-12-04T09:10:22.0832682Z Finished functorch/test_vmap 3/5 ... [2025-12-04 09:10:22.082759][1312.738750789], took 0.12min 2025-12-04T09:10:22.5112289Z Running test_function_schema 1/1 ... [2025-12-04 09:10:22.510830][1313.166821262] 2025-12-04T09:10:22.5113145Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:22.5116214Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_function_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:22.511261] 2025-12-04T09:10:24.2959614Z Running test_accelerator 1/1 ... [2025-12-04 09:10:24.295503][1314.951494606] 2025-12-04T09:10:24.2960496Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:24.2963447Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_accelerator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:24.295908] 2025-12-04T09:10:25.0208902Z Running nn/test_init 1/1 ... [2025-12-04 09:10:25.020473][1315.676463537] 2025-12-04T09:10:25.0209642Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:25.0212510Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'nn/test_init.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:25.020880] 2025-12-04T09:10:25.4754843Z 2025-12-04T09:10:25.4756078Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_976dec637cf3c9a4_.log 2025-12-04T09:10:25.4757765Z Running 0 items in this shard: 2025-12-04T09:10:25.4758127Z 2025-12-04T09:10:25.4758679Z Finished test_function_schema 1/1 ... [2025-12-04 09:10:25.475364][1316.131350516], took 0.05min 2025-12-04T09:10:25.4818847Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_function_schema/test_function_schema-2f6ad21d576cef9d.xml 2025-12-04T09:10:27.0283626Z 2025-12-04T09:10:27.0285001Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_6ae05ea3a36b2a14_.log 2025-12-04T09:10:27.0286279Z 2025-12-04T09:10:27.0287360Z Finished test_accelerator 1/1 ... [2025-12-04 09:10:27.028217][1317.68420692], took 0.05min 2025-12-04T09:10:28.4664248Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:10:28.465976][1319.121966253] 2025-12-04T09:10:28.4665244Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:28.4667976Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:28.466384] 2025-12-04T09:10:28.5164856Z 2025-12-04T09:10:28.5166023Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_bbe6f844dcd6c586_.log 2025-12-04T09:10:28.5167127Z Running 0 items in this shard: 2025-12-04T09:10:28.5167472Z 2025-12-04T09:10:28.5167921Z Finished nn/test_init 1/1 ... [2025-12-04 09:10:28.516459][1319.172447355], took 0.06min 2025-12-04T09:10:28.5231189Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_init/nn.test_init-071cd948d1f279f5.xml 2025-12-04T09:10:29.9993953Z Running torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:10:29.998986][1320.654977904] 2025-12-04T09:10:29.9994608Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:29.9997438Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_helper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:29.999406] 2025-12-04T09:10:31.3851093Z Running torch_np/test_function_base 1/1 ... [2025-12-04 09:10:31.384682][1322.040672449] 2025-12-04T09:10:31.3852018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:31.3854580Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/test_function_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:31.385087] 2025-12-04T09:10:31.5237676Z 2025-12-04T09:10:31.5239537Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_2110419536046d00_.log 2025-12-04T09:10:31.5241164Z Running 0 items in this shard: 2025-12-04T09:10:31.5241428Z 2025-12-04T09:10:31.5242024Z Finished torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:10:31.523654][1322.179642935], took 0.05min 2025-12-04T09:10:31.5303963Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_methods/torch_np.numpy_tests.core.test_scalar_methods-758a9a8606571668.xml 2025-12-04T09:10:32.9025487Z 2025-12-04T09:10:32.9027241Z torch_np/numpy_tests/fft/test_helper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_480a1f89060836c1_.log 2025-12-04T09:10:32.9028873Z Running 0 items in this shard: 2025-12-04T09:10:32.9029070Z 2025-12-04T09:10:32.9029456Z Finished torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:10:32.902414][1323.558405523], took 0.05min 2025-12-04T09:10:32.9127099Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_helper/torch_np.numpy_tests.fft.test_helper-de334573fe0ebd50.xml 2025-12-04T09:10:34.3127116Z 2025-12-04T09:10:34.3129493Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_274872c5eebb0f47_.log 2025-12-04T09:10:34.3130998Z Running 0 items in this shard: 2025-12-04T09:10:34.3131342Z 2025-12-04T09:10:34.3131921Z Finished torch_np/test_function_base 1/1 ... [2025-12-04 09:10:34.312623][1324.968612207], took 0.05min 2025-12-04T09:10:34.3193932Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_function_base/torch_np.test_function_base-fdff13b061083609.xml 2025-12-04T09:10:34.4785196Z Running test_type_promotion 1/1 ... [2025-12-04 09:10:34.478053][1325.134043709] 2025-12-04T09:10:34.4786083Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:34.4788749Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_type_promotion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:34.478492] 2025-12-04T09:10:35.8168181Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:10:35.816422][1326.472413289] 2025-12-04T09:10:35.8168793Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:35.8171528Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:35.816827] 2025-12-04T09:10:37.2063125Z Running profiler/test_profiler_tree 1/1 ... [2025-12-04 09:10:37.205881][1327.861872908] 2025-12-04T09:10:37.2064100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:37.2066483Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:37.206278] 2025-12-04T09:10:37.9975513Z 2025-12-04T09:10:37.9976916Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_e185952f52361ff1_.log 2025-12-04T09:10:37.9977887Z Running 0 items in this shard: 2025-12-04T09:10:37.9978117Z 2025-12-04T09:10:37.9978579Z Finished test_type_promotion 1/1 ... [2025-12-04 09:10:37.997406][1328.653397874], took 0.06min 2025-12-04T09:10:38.0092369Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_promotion/test_type_promotion-0f961f630d905b90.xml 2025-12-04T09:10:38.7278300Z 2025-12-04T09:10:38.7279736Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_18e4203f60c7e5ce_.log 2025-12-04T09:10:38.7280662Z Running 0 items in this shard: 2025-12-04T09:10:38.7280875Z 2025-12-04T09:10:38.7281254Z Finished torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:10:38.727579][1329.383568313], took 0.05min 2025-12-04T09:10:38.7395558Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_scalars_0D_arrays/torch_np.test_scalars_0D_arrays-5de4ee9a9cdd8b61.xml 2025-12-04T09:10:40.0666628Z 2025-12-04T09:10:40.0668026Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_a07450bb1a33a4e5_.log 2025-12-04T09:10:40.0668994Z Running 0 items in this shard: 2025-12-04T09:10:40.0669262Z 2025-12-04T09:10:40.0669705Z Finished profiler/test_profiler_tree 1/1 ... [2025-12-04 09:10:40.066632][1330.722621616], took 0.05min 2025-12-04T09:10:40.0744386Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_profiler_tree/profiler.test_profiler_tree-85d9954820e024c1.xml 2025-12-04T09:10:40.9910252Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:10:40.990644][1331.646634925] 2025-12-04T09:10:40.9910948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:40.9914144Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:40.991031] 2025-12-04T09:10:41.6349924Z Running test_dlpack 1/1 ... [2025-12-04 09:10:41.634591][1332.290582966] 2025-12-04T09:10:41.6350736Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:41.6353378Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_dlpack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:41.634986] 2025-12-04T09:10:42.9563213Z Running profiler/test_torch_tidy 1/1 ... [2025-12-04 09:10:42.955898][1333.611888652] 2025-12-04T09:10:42.9564425Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:42.9567104Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:42.956322] 2025-12-04T09:10:43.9271607Z 2025-12-04T09:10:43.9273305Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_61aa5ec7cbb91d3b_.log 2025-12-04T09:10:43.9274341Z Running 0 items in this shard: 2025-12-04T09:10:43.9274603Z 2025-12-04T09:10:43.9274990Z Finished torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:10:43.927058][1334.583048717], took 0.05min 2025-12-04T09:10:43.9346832Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraysetops/torch_np.numpy_tests.lib.test_arraysetops-69e2d89f38c5696f.xml 2025-12-04T09:10:44.7404611Z 2025-12-04T09:10:44.7405930Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_22ce7976dd0da7f4_.log 2025-12-04T09:10:44.7407378Z Running 0 items in this shard: 2025-12-04T09:10:44.7407720Z 2025-12-04T09:10:44.7408182Z Finished test_dlpack 1/1 ... [2025-12-04 09:10:44.740318][1335.396307957], took 0.05min 2025-12-04T09:10:44.7516800Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dlpack/test_dlpack-8a13dfc5cfd45bad.xml 2025-12-04T09:10:46.8119183Z Running lazy/test_reuse_ir 1/1 ... [2025-12-04 09:10:46.811486][1337.467477402] 2025-12-04T09:10:46.8120068Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:46.8122547Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:46.811883] 2025-12-04T09:10:47.6794772Z Running test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:10:47.678985][1338.334976408] 2025-12-04T09:10:47.6795844Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:47.6798507Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:47.679395] 2025-12-04T09:10:49.8205126Z 2025-12-04T09:10:49.8206307Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_df3db9d2160c0ebd_.log 2025-12-04T09:10:49.8207187Z Running 0 items in this shard: 2025-12-04T09:10:49.8207380Z 2025-12-04T09:10:49.8207694Z Finished lazy/test_reuse_ir 1/1 ... [2025-12-04 09:10:49.820421][1340.476409537], took 0.05min 2025-12-04T09:10:49.8282733Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_reuse_ir/lazy.test_reuse_ir-e5ae8c4d57cab310.xml 2025-12-04T09:10:50.5507632Z 2025-12-04T09:10:50.5509368Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_e3b5ff9961da2d81_.log 2025-12-04T09:10:50.5510283Z Running 0 items in this shard: 2025-12-04T09:10:50.5510491Z 2025-12-04T09:10:50.5510840Z Finished test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:10:50.550649][1341.206639699], took 0.05min 2025-12-04T09:10:50.5627065Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_autograd_benchmark/test_functional_autograd_benchmark-73878cc958f3691b.xml 2025-12-04T09:10:52.7926494Z Running torch_np/test_reductions 1/1 ... [2025-12-04 09:10:52.792211][1343.448201542] 2025-12-04T09:10:52.7927288Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:52.7930082Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:52.792624] 2025-12-04T09:10:53.5101563Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:10:53.509750][1344.165740976] 2025-12-04T09:10:53.5102229Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:53.5105847Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:53.510180] 2025-12-04T09:10:56.3671024Z 2025-12-04T09:10:56.3672932Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_a1d9c15568fa8cac_.log 2025-12-04T09:10:56.3674522Z Running 0 items in this shard: 2025-12-04T09:10:56.3674827Z 2025-12-04T09:10:56.3675731Z Finished torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:10:56.366957][1347.022946441], took 0.05min 2025-12-04T09:10:56.3789670Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_reductions/torch_np.test_reductions-605129e5526a80e0.xml 2025-12-04T09:10:56.4127435Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_ctors/torch_np.numpy_tests.core.test_scalar_ctors-1ad15ad89ba9c94d.xml 2025-12-04T09:10:57.2004624Z 2025-12-04T09:10:57.2006099Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_f259e097c9e75a07_.log 2025-12-04T09:10:57.2007474Z Running 0 items in this shard: 2025-12-04T09:10:57.2007821Z 2025-12-04T09:10:57.2008291Z Finished torch_np/test_reductions 1/1 ... [2025-12-04 09:10:57.200302][1347.856289801], took 0.07min 2025-12-04T09:10:59.3580318Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:10:59.357615][1350.013607117] 2025-12-04T09:10:59.3581119Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:59.3583858Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:59.358055] 2025-12-04T09:11:00.0897714Z Running test_prims 1/1 ... [2025-12-04 09:11:00.089357][1350.745344059] 2025-12-04T09:11:00.0898422Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:00.0902383Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_prims.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:00.089828] 2025-12-04T09:11:02.2807159Z 2025-12-04T09:11:02.2808890Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_d2d57b79ed1bc001_.log 2025-12-04T09:11:02.2813066Z Running 0 items in this shard: 2025-12-04T09:11:02.2813573Z 2025-12-04T09:11:02.2816719Z Finished torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:11:02.281226][1352.937215399], took 0.05min 2025-12-04T09:11:02.2968948Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraypad/torch_np.numpy_tests.lib.test_arraypad-ee19d714812be432.xml 2025-12-04T09:11:03.9266185Z 2025-12-04T09:11:03.9267548Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_14d3749a4ef45abc_.log 2025-12-04T09:11:03.9268867Z Running 0 items in this shard: 2025-12-04T09:11:03.9269239Z 2025-12-04T09:11:03.9269677Z Finished test_prims 1/1 ... [2025-12-04 09:11:03.926520][1354.582509796], took 0.06min 2025-12-04T09:11:03.9352844Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_prims/test_prims-53e6d0fdf5a7fcbb.xml 2025-12-04T09:11:05.3551418Z Running profiler/test_python_tracer 1/1 ... [2025-12-04 09:11:05.354689][1356.01068069] 2025-12-04T09:11:05.3552404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:05.3555313Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'profiler/test_python_tracer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:05.355090] 2025-12-04T09:11:06.8832420Z Running cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:11:06.882791][1357.538782689] 2025-12-04T09:11:06.8833442Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:06.8835567Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:06.883180] 2025-12-04T09:11:08.2438930Z 2025-12-04T09:11:08.2440730Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_cccdbbc8d6f23b0b_.log 2025-12-04T09:11:08.2442401Z Running 0 items in this shard: 2025-12-04T09:11:08.2442752Z 2025-12-04T09:11:08.2443363Z Finished profiler/test_python_tracer 1/1 ... [2025-12-04 09:11:08.243577][1358.899566348], took 0.05min 2025-12-04T09:11:08.2530165Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_python_tracer/profiler.test_python_tracer-d421486608c9ea76.xml 2025-12-04T09:11:09.7956545Z 2025-12-04T09:11:09.7958444Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_2046684f3d576d63_.log 2025-12-04T09:11:09.7960004Z Running 0 items in this shard: 2025-12-04T09:11:09.7960212Z 2025-12-04T09:11:09.7960772Z Finished cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:11:09.795497][1360.451486915], took 0.05min 2025-12-04T09:11:09.8118651Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility-5988cc065a1f59f7.xml 2025-12-04T09:11:11.1522729Z Running test_torchfuzz_repros 1/1 ... [2025-12-04 09:11:11.151896][1361.80788825] 2025-12-04T09:11:11.1523551Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:11.1526557Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_torchfuzz_repros.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:11.152298] 2025-12-04T09:11:13.8804379Z 2025-12-04T09:11:13.8805697Z test_torchfuzz_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torchfuzz_repros_1.1_64fb6c1dc9053c35_.log 2025-12-04T09:11:13.8806765Z Running 0 items in this shard: 2025-12-04T09:11:13.8806958Z 2025-12-04T09:11:13.8807271Z Finished test_torchfuzz_repros 1/1 ... [2025-12-04 09:11:13.880398][1364.536388574], took 0.05min 2025-12-04T09:11:13.8900272Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-465fe8dcf0e897bc.xml 2025-12-04T09:13:27.1029708Z 2025-12-04T09:13:27.1030502Z PRINTING LOG FILE of profiler/test_torch_tidy 1/1 (test/test-reports/profiler.test_torch_tidy_1.1_e733224a424ce2fe_.log) 2025-12-04T09:13:27.1031608Z Test results will be stored in test-reports/python-pytest/profiler.test_torch_tidy/profiler.test_torch_tidy-741e4c7a66299d7a.xml 2025-12-04T09:13:27.1032393Z ============================= test session starts ============================== 2025-12-04T09:13:27.1033053Z platform linux -- Python 3.14.1, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.14/bin/python 2025-12-04T09:13:27.1033596Z cachedir: .pytest_cache 2025-12-04T09:13:27.1034237Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:13:27.1034942Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:13:27.1035267Z configfile: pytest.ini 2025-12-04T09:13:27.1035902Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T09:13:27.1036617Z collecting ... collected 22 items 2025-12-04T09:13:27.1036990Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:13:27.1070613Z Running 50 items in this shard: test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids 2025-12-04T09:13:27.1101742Z 2025-12-04T09:13:27.1102663Z profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids W1204 09:10:45.720000 4483 site-packages/torch/_logging/_internal.py:1204] [4/0] Profiler function will be ignored 2025-12-04T09:13:27.1104261Z W1204 09:10:47.003000 4483 site-packages/torch/_logging/_internal.py:1204] [6/0] Profiler function will be ignored 2025-12-04T09:13:27.1105078Z PASSED [47.3733s] [ 2%] 2025-12-04T09:13:27.1105632Z profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids PASSED [14.3376s] [ 2%] 2025-12-04T09:13:27.1106533Z profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids PASSED [14.2074s] [ 2%] 2025-12-04T09:13:27.1107426Z profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids PASSED [14.1904s] [ 2%] 2025-12-04T09:13:27.1108322Z profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids PASSED [14.3992s] [ 2%] 2025-12-04T09:13:27.1109196Z profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids PASSED [14.7030s] [ 2%] 2025-12-04T09:13:27.1110258Z profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids PASSED [17.9220s] [ 2%] 2025-12-04T09:13:27.1111151Z profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids PASSED [21.4222s] [ 2%] 2025-12-04T09:13:27.1111928Z profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids 2025-12-04T09:13:27.1112808Z FINISHED PRINTING LOG FILE of profiler/test_torch_tidy 1/1 (test/test-reports/profiler.test_torch_tidy_1.1_e733224a424ce2fe_.log) 2025-12-04T09:13:27.1113403Z 2025-12-04T09:13:27.1313840Z Finished profiler/test_torch_tidy 1/1 ... [2025-12-04 09:13:27.125384][1497.77733825], took 2.74min 2025-12-04T09:13:29.7843196Z Uploading logs for 57115580607 to S3 2025-12-04T09:13:29.9157981Z Uploading artifacts took 2.15 seconds 2025-12-04T09:13:29.9185623Z profiler/test_torch_tidy 1/1 failed! Received signal: SIGKILL 2025-12-04T09:13:44.8900809Z Running test batch 'tests to run' cost 861.46 seconds 2025-12-04T09:13:44.9573707Z Emitting td_test_failure_stats_v2 2025-12-04T09:13:45.0300683Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764839625_88da5e0cd0f111f0a3b90242ac110002 2025-12-04T09:13:46.2257675Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764839625_88da5e0cd0f111f0a3b90242ac110002 2025-12-04T09:13:46.2312617Z profiler/test_torch_tidy 1/1 failed! Received signal: SIGKILL 2025-12-04T09:14:08.1250693Z 2025-12-04T09:14:08.1251141Z real 14m48.800s 2025-12-04T09:14:08.1251449Z user 20m53.398s 2025-12-04T09:14:08.1251699Z sys 2m22.310s 2025-12-04T09:14:08.1277769Z + assert_git_not_dirty 2025-12-04T09:14:08.1300825Z + [[ linux-jammy-py3.14-clang12 != *rocm* ]] 2025-12-04T09:14:08.1308043Z + [[ linux-jammy-py3.14-clang12 != *xla* ]] 2025-12-04T09:14:08.1326555Z ++ git status --porcelain 2025-12-04T09:14:08.1327411Z ++ grep -v '?? third_party' 2025-12-04T09:14:53.7013910Z ++ true 2025-12-04T09:14:53.7061319Z + git_status= 2025-12-04T09:14:53.7061592Z + [[ -n '' ]] 2025-12-04T09:14:53.7069521Z + [[ 1 == 1 ]] 2025-12-04T09:14:53.7069817Z + test_aten 2025-12-04T09:14:53.7075547Z + echo 'Running ATen tests with pytorch lib' 2025-12-04T09:14:53.7075951Z Running ATen tests with pytorch lib 2025-12-04T09:14:53.7076332Z + [[ -n '' ]] 2025-12-04T09:14:53.7076591Z + echo 'Running test with the build folder' 2025-12-04T09:14:53.7077038Z Running test with the build folder 2025-12-04T09:14:53.7077435Z + TEST_BASE_DIR=build/bin 2025-12-04T09:14:53.7081998Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libc10.so build/bin 2025-12-04T09:14:53.7132676Z + ln -sf '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libcaffe2*' build/bin 2025-12-04T09:14:53.7143907Z + ln -sf '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libmkldnn*' build/bin 2025-12-04T09:14:53.7154924Z + ln -sf '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libnccl*' build/bin 2025-12-04T09:14:53.7169673Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorchbind_test.so build/bin 2025-12-04T09:14:53.7176215Z + ls build/bin 2025-12-04T09:14:53.7243171Z BackoffTest cpu_generator_test 2025-12-04T09:14:53.7243783Z CMakeFiles cpu_profiling_allocator_test 2025-12-04T09:14:53.7244410Z CTestTestfile.cmake cpu_rng_test 2025-12-04T09:14:53.7245022Z CppSignature_test dlconvertor_test 2025-12-04T09:14:53.7245502Z Dict_test example_allreduce 2025-12-04T09:14:53.7245861Z Dimname_test extension_backend_test 2025-12-04T09:14:53.7246222Z FileStoreTest half_test 2025-12-04T09:14:53.7246791Z HashStoreTest inline_container_test 2025-12-04T09:14:53.7247327Z IListRef_test ivalue_test 2025-12-04T09:14:53.7247776Z KernelFunction_test kernel_function_legacy_test 2025-12-04T09:14:53.7248196Z List_test kernel_function_test 2025-12-04T09:14:53.7248559Z MaybeOwned_test kernel_lambda_legacy_test 2025-12-04T09:14:53.7248960Z NamedTensor_test kernel_lambda_test 2025-12-04T09:14:53.7249375Z ProcessGroupGlooTest kernel_stackbased_test 2025-12-04T09:14:53.7249809Z StorageUtils_test lazy_tensor_test 2025-12-04T09:14:53.7250147Z TCPStoreTest legacy_vmap_test 2025-12-04T09:14:53.7250493Z apply_utils_test libc10.so 2025-12-04T09:14:53.7250955Z atest 'libcaffe2*' 2025-12-04T09:14:53.7251255Z backend_fallback_test 'libmkldnn*' 2025-12-04T09:14:53.7251596Z basic 'libnccl*' 2025-12-04T09:14:53.7251889Z broadcast_test libtorch.so 2025-12-04T09:14:53.7252228Z c10_AllocatorConfig_test libtorch_cpu.so 2025-12-04T09:14:53.7252636Z c10_ArrayRef_test libtorch_global_deps.so 2025-12-04T09:14:53.7253022Z c10_Bitset_test libtorch_python.so 2025-12-04T09:14:53.7253435Z c10_CompileTimeFunctionPointer_test libtorchbind_test.so 2025-12-04T09:14:53.7253960Z c10_ConstexprCrc_test make_boxed_from_unboxed_functor_test 2025-12-04T09:14:53.7254438Z c10_DeadlockDetection_test math_kernel_test 2025-12-04T09:14:53.7254842Z c10_DeviceGuard_test memory_format_test 2025-12-04T09:14:53.7255215Z c10_Device_test memory_overlapping_test 2025-12-04T09:14:53.7255627Z c10_DispatchKeySet_test mobile_memory_cleanup 2025-12-04T09:14:53.7256016Z c10_Enumerate_test native_test 2025-12-04T09:14:53.7256342Z c10_Half_test op_allowlist_test 2025-12-04T09:14:53.7256740Z c10_InlineDeviceGuard_test op_registration_test 2025-12-04T09:14:53.7257187Z c10_InlineStreamGuard_test operator_name_test 2025-12-04T09:14:53.7257582Z c10_IntrusiveList_test operators_test 2025-12-04T09:14:53.7257996Z c10_LeftRight_test packedtensoraccessor_test 2025-12-04T09:14:53.7258413Z c10_NetworkFlow_test parallel_benchmark 2025-12-04T09:14:53.7277179Z c10_Scalar_test pow_test 2025-12-04T09:14:53.7277935Z c10_Semaphore_test protoc 2025-12-04T09:14:53.7278549Z c10_SizesAndStrides_test protoc-3.13.0.0 2025-12-04T09:14:53.7279219Z c10_StreamGuard_test quantized_test 2025-12-04T09:14:53.7279661Z c10_SymInt_test reduce_ops_test 2025-12-04T09:14:53.7280040Z c10_Synchronized_test reportMemoryUsage_test 2025-12-04T09:14:53.7280468Z c10_ThreadLocal_test scalar_tensor_test 2025-12-04T09:14:53.7280843Z c10_TypeIndex_test scalar_test 2025-12-04T09:14:53.7281197Z c10_accumulate_test static_runtime_bench 2025-12-04T09:14:53.7281561Z c10_bfloat16_test static_runtime_test 2025-12-04T09:14:53.7281938Z c10_bit_cast_test stride_properties_test 2025-12-04T09:14:53.7282337Z c10_complex_math_test tensor_iterator_test 2025-12-04T09:14:53.7282705Z c10_complex_test test_aoti_abi_check 2025-12-04T09:14:53.7283042Z c10_cow_test test_api 2025-12-04T09:14:53.7283338Z c10_error_test test_cpp_rpc 2025-12-04T09:14:53.7283662Z c10_exception_test test_dist_autograd 2025-12-04T09:14:53.7284001Z c10_flags_test test_jit 2025-12-04T09:14:53.7284310Z c10_generic_math_test test_lazy 2025-12-04T09:14:53.7284667Z c10_intrusive_ptr_benchmark test_parallel 2025-12-04T09:14:53.7285045Z c10_intrusive_ptr_test test_vec_half_AVX2 2025-12-04T09:14:53.7285422Z c10_irange_test test_vec_half_AVX512 2025-12-04T09:14:53.7285781Z c10_lazy_test test_vec_half_DEFAULT 2025-12-04T09:14:53.7286110Z c10_logging_test thread_init_test 2025-12-04T09:14:53.7286447Z c10_nofatal_test torch_shm_manager 2025-12-04T09:14:53.7286781Z c10_optional_test type_ptr_test 2025-12-04T09:14:53.7287242Z c10_ordered_preserving_dict_test type_test 2025-12-04T09:14:53.7287620Z c10_registry_test undefined_tensor_test 2025-12-04T09:14:53.7288013Z c10_small_vector_test vec_test_all_types_AVX2 2025-12-04T09:14:53.7288394Z c10_ssize_test vec_test_all_types_AVX512 2025-12-04T09:14:53.7288801Z c10_string_util_test vec_test_all_types_DEFAULT 2025-12-04T09:14:53.7289210Z c10_string_view_test verify_api_visibility 2025-12-04T09:14:53.7289574Z c10_tempfile_test weakref_test 2025-12-04T09:14:53.7289884Z c10_typeid_test wrapdim_test 2025-12-04T09:14:53.7290216Z cmake_install.cmake xla_tensor_test 2025-12-04T09:14:53.7290603Z cpu_allocator_test 2025-12-04T09:14:53.7290855Z + aten/tools/run_tests.sh build/bin 2025-12-04T09:14:53.7307064Z + set -e 2025-12-04T09:14:53.7309868Z ++ dirname aten/tools/run_tests.sh 2025-12-04T09:14:53.7330307Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-12-04T09:14:53.7331164Z + export CPP_TESTS_DIR=build/bin 2025-12-04T09:14:53.7331479Z + CPP_TESTS_DIR=build/bin 2025-12-04T09:14:53.7331738Z + VALGRIND=ON 2025-12-04T09:14:53.7333548Z + 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 2025-12-04T09:14:59.6683527Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:14:59.6824269Z Found test times from artifacts 2025-12-04T09:14:59.7683335Z Found test times from artifacts 2025-12-04T09:14:59.7697382Z Running all tests 2025-12-04T09:14:59.7701884Z Running parallel tests on 3 processes 2025-12-04T09:14:59.7703178Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:14:59.7703758Z Serial tests (0): 2025-12-04T09:14:59.7704161Z Parallel tests (19): 2025-12-04T09:14:59.7704435Z cpp/Dict_test 1/1 2025-12-04T09:14:59.7704711Z cpp/Dimname_test 1/1 2025-12-04T09:14:59.7704992Z cpp/NamedTensor_test 1/1 2025-12-04T09:14:59.7705293Z cpp/apply_utils_test 1/1 2025-12-04T09:14:59.7705580Z cpp/atest 1/1 2025-12-04T09:14:59.7705807Z cpp/basic 1/1 2025-12-04T09:14:59.7706060Z cpp/broadcast_test 1/1 2025-12-04T09:14:59.7706351Z cpp/cpu_generator_test 1/1 2025-12-04T09:14:59.7706637Z cpp/dlconvertor_test 1/1 2025-12-04T09:14:59.7706940Z cpp/extension_backend_test 1/1 2025-12-04T09:14:59.7707275Z cpp/lazy_tensor_test 1/1 2025-12-04T09:14:59.7707551Z cpp/legacy_vmap_test 1/1 2025-12-04T09:14:59.7707864Z cpp/native_test 1/1 2025-12-04T09:14:59.7708264Z cpp/operators_test 1/1 2025-12-04T09:14:59.7708602Z cpp/scalar_tensor_test 1/1 2025-12-04T09:14:59.7709125Z cpp/scalar_test 1/1 2025-12-04T09:14:59.7709625Z cpp/tensor_iterator_test 1/1 2025-12-04T09:14:59.7710002Z cpp/undefined_tensor_test 1/1 2025-12-04T09:14:59.7710304Z cpp/wrapdim_test 1/1 2025-12-04T09:14:59.7710598Z Name: excluded (est. time: 0.0min) 2025-12-04T09:14:59.7710909Z Serial tests (0): 2025-12-04T09:14:59.7711155Z Parallel tests (0): 2025-12-04T09:14:59.7711547Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:14:59.770722][1590.426717231] 2025-12-04T09:14:59.7712010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:59.7712413Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:14:59.7712992Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:14:59.770867][1590.426862728], took 0.00min 2025-12-04T09:15:00.1130981Z Uploading artifacts took 0.33 seconds 2025-12-04T09:15:00.1131875Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:15:00.112825][1590.768818042] 2025-12-04T09:15:00.1132346Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.1132769Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.1133653Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:15:00.112969][1590.768964607], took 0.00min 2025-12-04T09:15:00.1219942Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:15:00.121777][1590.777771772] 2025-12-04T09:15:00.1220857Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.1221284Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.1221891Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:15:00.121906][1590.777902987], took 0.00min 2025-12-04T09:15:00.1305837Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:15:00.130399][1590.786394948] 2025-12-04T09:15:00.1306433Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.1307035Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.1307633Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:15:00.130533][1590.786529752], took 0.00min 2025-12-04T09:15:00.1392039Z Running cpp/atest 1/1 ... [2025-12-04 09:15:00.139009][1590.795003951] 2025-12-04T09:15:00.1392654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.1393336Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.1393890Z Finished cpp/atest 1/1 ... [2025-12-04 09:15:00.139146][1590.79514197], took 0.00min 2025-12-04T09:15:00.1477856Z Running cpp/basic 1/1 ... [2025-12-04 09:15:00.147616][1590.803611344] 2025-12-04T09:15:00.1478472Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.1478905Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.1479459Z Finished cpp/basic 1/1 ... [2025-12-04 09:15:00.147754][1590.803750034], took 0.00min 2025-12-04T09:15:00.1563111Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:15:00.156152][1590.812147644] 2025-12-04T09:15:00.1563723Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.1564151Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.1564751Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:15:00.156278][1590.812274716], took 0.00min 2025-12-04T09:15:00.1649247Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:15:00.164763][1590.820758456] 2025-12-04T09:15:00.1649875Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.1650303Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.1650896Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:15:00.164895][1590.820891306], took 0.00min 2025-12-04T09:15:00.1736016Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:15:00.173433][1590.8294286] 2025-12-04T09:15:00.1736677Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.1737190Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.1737801Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:15:00.173563][1590.829559137], took 0.00min 2025-12-04T09:15:00.1822205Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:15:00.182060][1590.838055163] 2025-12-04T09:15:00.1822939Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.1823383Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.1824022Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:15:00.182186][1590.838182569], took 0.00min 2025-12-04T09:15:00.1907920Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:15:00.190621][1590.846616793] 2025-12-04T09:15:00.1908610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.1909105Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.1909712Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:15:00.190759][1590.846755186], took 0.00min 2025-12-04T09:15:00.1995477Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:15:00.199379][1590.855373909] 2025-12-04T09:15:00.1996043Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.1996506Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.1997105Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:15:00.199510][1590.855506075], took 0.00min 2025-12-04T09:15:00.2081258Z Running cpp/native_test 1/1 ... [2025-12-04 09:15:00.207944][1590.863939441] 2025-12-04T09:15:00.2081842Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.2082259Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.2082845Z Finished cpp/native_test 1/1 ... [2025-12-04 09:15:00.208081][1590.864077072], took 0.00min 2025-12-04T09:15:00.2166944Z Running cpp/operators_test 1/1 ... [2025-12-04 09:15:00.216519][1590.872514419] 2025-12-04T09:15:00.2167514Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.2167997Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.2168595Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:15:00.216654][1590.872650487], took 0.00min 2025-12-04T09:15:00.2253581Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:15:00.225157][1590.881152478] 2025-12-04T09:15:00.2254127Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.2254650Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.2255344Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:15:00.225290][1590.881286712], took 0.00min 2025-12-04T09:15:00.2338674Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:15:00.233684][1590.889679698] 2025-12-04T09:15:00.2339165Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.2339656Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.2340369Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:15:00.233830][1590.889825923], took 0.00min 2025-12-04T09:15:00.2424251Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:15:00.242259][1590.898254258] 2025-12-04T09:15:00.2424852Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.2425376Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.2426054Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:15:00.242394][1590.898390653], took 0.00min 2025-12-04T09:15:00.2510145Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:15:00.250823][1590.906818753] 2025-12-04T09:15:00.2510823Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.2511300Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.2511986Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:15:00.250968][1590.906964436], took 0.00min 2025-12-04T09:15:00.2595369Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:15:00.259383][1590.915378274] 2025-12-04T09:15:00.2596046Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:00.2596907Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:00.2597592Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:15:00.259516][1590.915512791], took 0.00min 2025-12-04T09:15:02.5273363Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:15:02.526900][1593.182890762] 2025-12-04T09:15:02.5274311Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:02.5275083Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:02.5276148Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:15:02.527046][1593.183040753], took 0.00min 2025-12-04T09:15:02.5391548Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:15:02.538811][1593.194802976] 2025-12-04T09:15:02.5392444Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:02.5393098Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:02.5394012Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:15:02.538973][1593.194967488], took 0.00min 2025-12-04T09:15:02.5547006Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:15:02.554398][1593.210389096] 2025-12-04T09:15:02.5547846Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:02.5548636Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:02.5549778Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:15:02.554587][1593.2105806], took 0.00min 2025-12-04T09:15:05.4544575Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:15:05.453986][1596.109977181] 2025-12-04T09:15:05.4545160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:05.4546046Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:05.4546694Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:15:05.454191][1596.110184655], took 0.00min 2025-12-04T09:15:05.4580704Z Running cpp/atest 1/1 ... [2025-12-04 09:15:05.457817][1596.113805775] 2025-12-04T09:15:05.4581640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:05.4582082Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:05.4582920Z Finished cpp/atest 1/1 ... [2025-12-04 09:15:05.458039][1596.11403078], took 0.00min 2025-12-04T09:15:05.4763549Z Running cpp/basic 1/1 ... [2025-12-04 09:15:05.475958][1596.131949377] 2025-12-04T09:15:05.4764374Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:05.4765457Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:05.4766328Z Finished cpp/basic 1/1 ... [2025-12-04 09:15:05.476140][1596.132131794], took 0.00min 2025-12-04T09:15:08.3974857Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:15:08.397068][1599.053059503] 2025-12-04T09:15:08.3975712Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:08.3976187Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:08.3976844Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:15:08.397239][1599.053232473], took 0.00min 2025-12-04T09:15:08.4433233Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:15:08.442914][1599.098905225] 2025-12-04T09:15:08.4433956Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:08.4434359Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:08.4434970Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:15:08.443095][1599.099088882], took 0.00min 2025-12-04T09:15:08.4457852Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:15:08.445520][1599.10151019] 2025-12-04T09:15:08.4458703Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:08.4459163Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:08.4459857Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:15:08.445735][1599.101727545], took 0.00min 2025-12-04T09:15:11.3847046Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:15:11.384268][1602.040259116] 2025-12-04T09:15:11.3848039Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:11.3848803Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:11.3849967Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:15:11.384436][1602.04043063], took 0.00min 2025-12-04T09:15:11.4301159Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:15:11.429670][1602.085660448] 2025-12-04T09:15:11.4302009Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:11.4302761Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:11.4303790Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:15:11.429859][1602.085852019], took 0.00min 2025-12-04T09:15:11.4309889Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:15:11.430645][1602.086636822] 2025-12-04T09:15:11.4310741Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:11.4311485Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:11.4312452Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:15:11.430801][1602.086795077], took 0.00min 2025-12-04T09:15:14.3400288Z Running cpp/native_test 1/1 ... [2025-12-04 09:15:14.339586][1604.995578304] 2025-12-04T09:15:14.3400770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:14.3401177Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:14.3401747Z Finished cpp/native_test 1/1 ... [2025-12-04 09:15:14.339762][1604.995755293], took 0.00min 2025-12-04T09:15:14.3742662Z Running cpp/operators_test 1/1 ... [2025-12-04 09:15:14.373861][1605.029853395] 2025-12-04T09:15:14.3743641Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:14.3744255Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:14.3745166Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:15:14.374086][1605.030078534], took 0.00min 2025-12-04T09:15:14.4120344Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:15:14.411551][1605.067541261] 2025-12-04T09:15:14.4121116Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:14.4121702Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:14.4122538Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:15:14.411713][1605.067707592], took 0.00min 2025-12-04T09:15:17.3143701Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:15:17.313965][1607.969957321] 2025-12-04T09:15:17.3144549Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:17.3145309Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:17.3146309Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:15:17.314148][1607.970140951], took 0.00min 2025-12-04T09:15:17.3215924Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:15:17.321255][1607.977246095] 2025-12-04T09:15:17.3216715Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:17.3217365Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:17.3218318Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:15:17.321421][1607.977414356], took 0.00min 2025-12-04T09:15:17.3930691Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:15:17.392620][1608.048609787] 2025-12-04T09:15:17.3931624Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:17.3932323Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:17.3933325Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:15:17.392786][1608.048780396], took 0.00min 2025-12-04T09:15:20.2511726Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:15:20.250646][1610.906638127] 2025-12-04T09:15:20.2512670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:20.2513664Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:15:20.2514782Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:15:20.250814][1610.906807755], took 0.00min 2025-12-04T09:15:21.0024911Z Running test batch 'tests to run' cost 21.23 seconds 2025-12-04T09:15:21.6294367Z + run_if_exists tensor_interop_test 2025-12-04T09:15:21.6295004Z + local test_name=tensor_interop_test 2025-12-04T09:15:21.6295525Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T09:15:21.6296104Z + echo 'Warning: tensor_interop_test does not exist.' 2025-12-04T09:15:21.6296759Z Warning: tensor_interop_test does not exist. 2025-12-04T09:15:21.6297173Z + run_if_exists cudnn_test 2025-12-04T09:15:21.6297576Z + local test_name=cudnn_test 2025-12-04T09:15:21.6298001Z + [[ -x build/bin/cudnn_test ]] 2025-12-04T09:15:21.6298481Z + echo 'Warning: cudnn_test does not exist.' 2025-12-04T09:15:21.6298997Z Warning: cudnn_test does not exist. 2025-12-04T09:15:21.6299465Z + run_if_exists cuda_generator_test 2025-12-04T09:15:21.6299987Z + local test_name=cuda_generator_test 2025-12-04T09:15:21.6300478Z + [[ -x build/bin/cuda_generator_test ]] 2025-12-04T09:15:21.6301013Z + echo 'Warning: cuda_generator_test does not exist.' 2025-12-04T09:15:21.6301613Z Warning: cuda_generator_test does not exist. 2025-12-04T09:15:21.6302036Z + run_if_exists apply_test 2025-12-04T09:15:21.6302317Z + local test_name=apply_test 2025-12-04T09:15:21.6302623Z + [[ -x build/bin/apply_test ]] 2025-12-04T09:15:21.6302952Z + echo 'Warning: apply_test does not exist.' 2025-12-04T09:15:21.6303312Z Warning: apply_test does not exist. 2025-12-04T09:15:21.6303615Z + run_if_exists stream_test 2025-12-04T09:15:21.6303931Z + local test_name=stream_test 2025-12-04T09:15:21.6304231Z + [[ -x build/bin/stream_test ]] 2025-12-04T09:15:21.6304541Z + echo 'Warning: stream_test does not exist.' 2025-12-04T09:15:21.6304900Z Warning: stream_test does not exist. 2025-12-04T09:15:21.6305231Z + run_if_exists cuda_half_test 2025-12-04T09:15:21.6305540Z + local test_name=cuda_half_test 2025-12-04T09:15:21.6305845Z + [[ -x build/bin/cuda_half_test ]] 2025-12-04T09:15:21.6306197Z + echo 'Warning: cuda_half_test does not exist.' 2025-12-04T09:15:21.6306580Z Warning: cuda_half_test does not exist. 2025-12-04T09:15:21.6306909Z + run_if_exists cuda_vectorized_test 2025-12-04T09:15:21.6307559Z + local test_name=cuda_vectorized_test 2025-12-04T09:15:21.6307914Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-12-04T09:15:21.6308290Z + echo 'Warning: cuda_vectorized_test does not exist.' 2025-12-04T09:15:21.6308707Z Warning: cuda_vectorized_test does not exist. 2025-12-04T09:15:21.6309085Z + run_if_exists cuda_distributions_test 2025-12-04T09:15:21.6309424Z + local test_name=cuda_distributions_test 2025-12-04T09:15:21.6309799Z + [[ -x build/bin/cuda_distributions_test ]] 2025-12-04T09:15:21.6310216Z + echo 'Warning: cuda_distributions_test does not exist.' 2025-12-04T09:15:21.6310661Z Warning: cuda_distributions_test does not exist. 2025-12-04T09:15:21.6311021Z + run_if_exists cuda_optional_test 2025-12-04T09:15:21.6311446Z + local test_name=cuda_optional_test 2025-12-04T09:15:21.6311782Z + [[ -x build/bin/cuda_optional_test ]] 2025-12-04T09:15:21.6312139Z + echo 'Warning: cuda_optional_test does not exist.' 2025-12-04T09:15:21.6312538Z Warning: cuda_optional_test does not exist. 2025-12-04T09:15:21.6312908Z + run_if_exists cuda_tensor_interop_test 2025-12-04T09:15:21.6313246Z + local test_name=cuda_tensor_interop_test 2025-12-04T09:15:21.6313613Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-12-04T09:15:21.6314029Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-12-04T09:15:21.6314463Z Warning: cuda_tensor_interop_test does not exist. 2025-12-04T09:15:21.6314824Z + run_if_exists cuda_complex_test 2025-12-04T09:15:21.6315145Z + local test_name=cuda_complex_test 2025-12-04T09:15:21.6315479Z + [[ -x build/bin/cuda_complex_test ]] 2025-12-04T09:15:21.6315829Z + echo 'Warning: cuda_complex_test does not exist.' 2025-12-04T09:15:21.6316223Z Warning: cuda_complex_test does not exist. 2025-12-04T09:15:21.6316588Z + run_if_exists cuda_complex_math_test 2025-12-04T09:15:21.6316916Z + local test_name=cuda_complex_math_test 2025-12-04T09:15:21.6317367Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-12-04T09:15:21.6317819Z + echo 'Warning: cuda_complex_math_test does not exist.' 2025-12-04T09:15:21.6318237Z Warning: cuda_complex_math_test does not exist. 2025-12-04T09:15:21.6318609Z + run_if_exists cuda_cub_test 2025-12-04T09:15:21.6318918Z + local test_name=cuda_cub_test 2025-12-04T09:15:21.6319236Z + [[ -x build/bin/cuda_cub_test ]] 2025-12-04T09:15:21.6319568Z + echo 'Warning: cuda_cub_test does not exist.' 2025-12-04T09:15:21.6319940Z Warning: cuda_cub_test does not exist. 2025-12-04T09:15:21.6320279Z + run_if_exists cuda_atomic_ops_test 2025-12-04T09:15:21.6320597Z + local test_name=cuda_atomic_ops_test 2025-12-04T09:15:21.6320936Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-12-04T09:15:21.6321322Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2025-12-04T09:15:21.6321717Z Warning: cuda_atomic_ops_test does not exist. 2025-12-04T09:15:21.6322081Z + run_if_exists cuda_allocator_test 2025-12-04T09:15:21.6322411Z + local test_name=cuda_allocator_test 2025-12-04T09:15:21.6322724Z + [[ -x build/bin/cuda_allocator_test ]] 2025-12-04T09:15:21.6323109Z + echo 'Warning: cuda_allocator_test does not exist.' 2025-12-04T09:15:21.6323524Z Warning: cuda_allocator_test does not exist. 2025-12-04T09:15:21.6323868Z + '[' ON == ON ']' 2025-12-04T09:15:21.6324566Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2025-12-04T09:15:21.6621639Z ==5053== Memcheck, a memory error detector 2025-12-04T09:15:21.6622187Z ==5053== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2025-12-04T09:15:21.6622822Z ==5053== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2025-12-04T09:15:21.6623344Z ==5053== Command: build/bin/basic --gtest_filter=-*CUDA 2025-12-04T09:15:21.6623784Z ==5053== 2025-12-04T09:15:22.2116498Z ==5053== Warning: set address range perms: large range [0x4a4c000, 0x19cdb000) (defined) 2025-12-04T09:15:22.2117199Z ==5053== Warning: set address range perms: large range [0x5d2d000, 0x16d2d000) (defined) 2025-12-04T09:15:46.1385315Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2025-12-04T09:15:46.1674269Z Note: Google Test filter = -*CUDA 2025-12-04T09:15:46.1724365Z [==========] Running 6 tests from 1 test suite. 2025-12-04T09:15:46.1751081Z [----------] Global test environment set-up. 2025-12-04T09:15:46.1820795Z [----------] 6 tests from BasicTest 2025-12-04T09:15:46.1844946Z [ RUN ] BasicTest.BasicTestCPU 2025-12-04T09:15:47.5253441Z 382 ms 2025-12-04T09:15:47.6072033Z 49 ms 2025-12-04T09:15:47.6712820Z 55 ms 2025-12-04T09:15:48.5200201Z [ OK ] BasicTest.BasicTestCPU (2333 ms) 2025-12-04T09:15:48.5265377Z [ RUN ] BasicTest.BasicTestHalfCPU 2025-12-04T09:15:48.7470649Z 154 ms 2025-12-04T09:15:48.7938509Z 40 ms 2025-12-04T09:15:48.8505515Z 54 ms 2025-12-04T09:15:48.8977483Z [ OK ] BasicTest.BasicTestHalfCPU (351 ms) 2025-12-04T09:15:48.8978261Z [ RUN ] BasicTest.FactoryMethodsTest 2025-12-04T09:15:48.9324441Z [ OK ] BasicTest.FactoryMethodsTest (34 ms) 2025-12-04T09:15:48.9324907Z [ RUN ] BasicTest.BasicStdTestCPU 2025-12-04T09:15:49.0106279Z Simple example: called once 2025-12-04T09:15:49.0955986Z throw: call_once will retry 2025-12-04T09:15:49.1347676Z throw: call_once will retry 2025-12-04T09:15:49.1355171Z Didn't throw, call_once will not attempt again 2025-12-04T09:15:49.1374645Z [ OK ] BasicTest.BasicStdTestCPU (204 ms) 2025-12-04T09:15:49.1375361Z [ RUN ] BasicTest.TestForBlobResizeCPU 2025-12-04T09:15:49.1548231Z [ OK ] BasicTest.TestForBlobResizeCPU (17 ms) 2025-12-04T09:15:49.1548996Z [ RUN ] BasicTest.TestForBlobStridesResizeCPU 2025-12-04T09:15:49.1576547Z [ OK ] BasicTest.TestForBlobStridesResizeCPU (2 ms) 2025-12-04T09:15:49.1598768Z [----------] 6 tests from BasicTest (2974 ms total) 2025-12-04T09:15:49.1599274Z 2025-12-04T09:15:49.1611310Z [----------] Global test environment tear-down 2025-12-04T09:15:49.1640293Z [==========] 6 tests from 1 test suite ran. (3000 ms total) 2025-12-04T09:15:49.1653236Z [ PASSED ] 6 tests. 2025-12-04T09:15:51.1066426Z ==5053== 2025-12-04T09:15:51.1070905Z ==5053== HEAP SUMMARY: 2025-12-04T09:15:51.1071467Z ==5053== in use at exit: 430,867 bytes in 6,419 blocks 2025-12-04T09:15:51.1072298Z ==5053== total heap usage: 652,079 allocs, 645,660 frees, 198,310,853 bytes allocated 2025-12-04T09:15:51.1073031Z ==5053== 2025-12-04T09:15:51.1507220Z ==5053== LEAK SUMMARY: 2025-12-04T09:15:51.1507781Z ==5053== definitely lost: 0 bytes in 0 blocks 2025-12-04T09:15:51.1508460Z ==5053== indirectly lost: 0 bytes in 0 blocks 2025-12-04T09:15:51.1509121Z ==5053== possibly lost: 69,920 bytes in 2 blocks 2025-12-04T09:15:51.1509839Z ==5053== still reachable: 360,947 bytes in 6,417 blocks 2025-12-04T09:15:51.1510580Z ==5053== suppressed: 0 bytes in 0 blocks 2025-12-04T09:15:51.1511372Z ==5053== Rerun with --leak-check=full to see details of leaked memory 2025-12-04T09:15:51.1512129Z ==5053== 2025-12-04T09:15:51.1512703Z ==5053== For lists of detected and suppressed errors, rerun with: -s 2025-12-04T09:15:51.1513702Z ==5053== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2025-12-04T09:15:51.1870986Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T09:15:51.1873880Z + [[ -n '' ]] 2025-12-04T09:15:51.1874180Z + assert_git_not_dirty 2025-12-04T09:15:51.1874508Z + [[ linux-jammy-py3.14-clang12 != *rocm* ]] 2025-12-04T09:15:51.1874883Z + [[ linux-jammy-py3.14-clang12 != *xla* ]] 2025-12-04T09:15:51.1880632Z ++ git status --porcelain 2025-12-04T09:15:51.1881759Z ++ grep -v '?? third_party' 2025-12-04T09:15:51.4780831Z ++ true 2025-12-04T09:15:51.4782162Z + git_status= 2025-12-04T09:15:51.4782419Z + [[ -n '' ]] 2025-12-04T09:15:51.4859452Z + sccache_epilogue 2025-12-04T09:15:51.4859904Z + echo '::group::Sccache Compilation Log' 2025-12-04T09:15:51.4860768Z ##[group]Sccache Compilation Log 2025-12-04T09:15:51.4861159Z + echo '=================== sccache compilation log ===================' 2025-12-04T09:15:51.4861741Z =================== sccache compilation log =================== 2025-12-04T09:15:51.4863041Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T09:15:51.4997720Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T09:15:51.4998453Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T09:15:51.4998947Z + sccache --show-stats 2025-12-04T09:15:51.5869121Z Compile requests 140 2025-12-04T09:15:51.5869762Z Compile requests executed 58 2025-12-04T09:15:51.5870113Z Cache hits 21 2025-12-04T09:15:51.5870421Z Cache hits (C/C++) 21 2025-12-04T09:15:51.5870946Z Cache misses 37 2025-12-04T09:15:51.5871285Z Cache misses (C/C++) 37 2025-12-04T09:15:51.5871601Z Cache hits rate 36.21 % 2025-12-04T09:15:51.5871932Z Cache hits rate (C/C++) 36.21 % 2025-12-04T09:15:51.5872272Z Cache timeouts 0 2025-12-04T09:15:51.5872580Z Cache read errors 0 2025-12-04T09:15:51.5872897Z Forced recaches 0 2025-12-04T09:15:51.5873214Z Cache write errors 0 2025-12-04T09:15:51.5873520Z Cache errors 0 2025-12-04T09:15:51.5873836Z Compilations 37 2025-12-04T09:15:51.5874164Z Compilation failures 0 2025-12-04T09:15:51.5874503Z Non-cacheable compilations 0 2025-12-04T09:15:51.5874820Z Non-cacheable calls 1 2025-12-04T09:15:51.5875152Z Non-compilation calls 81 2025-12-04T09:15:51.5875500Z Unsupported compiler calls 0 2025-12-04T09:15:51.5875831Z Average cache write 0.042 s 2025-12-04T09:15:51.5876178Z Average compiler 12.237 s 2025-12-04T09:15:51.5876521Z Average cache read hit 0.077 s 2025-12-04T09:15:51.5876859Z Failed distributed compilations 0 2025-12-04T09:15:51.5877110Z 2025-12-04T09:15:51.5877225Z Non-cacheable reasons: 2025-12-04T09:15:51.5877600Z -E 1 2025-12-04T09:15:51.5877815Z 2025-12-04T09:15:51.5878073Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:15:51.5878537Z Version (client) 0.10.0 2025-12-04T09:15:51.5881623Z + sccache --stop-server 2025-12-04T09:15:51.5898820Z Stopping sccache server... 2025-12-04T09:15:51.6074678Z Compile requests 140 2025-12-04T09:15:51.6075376Z Compile requests executed 58 2025-12-04T09:15:51.6075992Z Cache hits 21 2025-12-04T09:15:51.6076598Z Cache hits (C/C++) 21 2025-12-04T09:15:51.6077160Z Cache misses 37 2025-12-04T09:15:51.6077816Z Cache misses (C/C++) 37 2025-12-04T09:15:51.6078255Z Cache hits rate 36.21 % 2025-12-04T09:15:51.6078590Z Cache hits rate (C/C++) 36.21 % 2025-12-04T09:15:51.6078934Z Cache timeouts 0 2025-12-04T09:15:51.6079272Z Cache read errors 0 2025-12-04T09:15:51.6079672Z Forced recaches 0 2025-12-04T09:15:51.6080212Z Cache write errors 0 2025-12-04T09:15:51.6080691Z Cache errors 0 2025-12-04T09:15:51.6081027Z Compilations 37 2025-12-04T09:15:51.6081351Z Compilation failures 0 2025-12-04T09:15:51.6081703Z Non-cacheable compilations 0 2025-12-04T09:15:51.6082047Z Non-cacheable calls 1 2025-12-04T09:15:51.6082368Z Non-compilation calls 81 2025-12-04T09:15:51.6082730Z Unsupported compiler calls 0 2025-12-04T09:15:51.6083081Z Average cache write 0.042 s 2025-12-04T09:15:51.6083412Z Average compiler 12.237 s 2025-12-04T09:15:51.6083760Z Average cache read hit 0.077 s 2025-12-04T09:15:51.6084287Z Failed distributed compilations 0 2025-12-04T09:15:51.6248261Z 2025-12-04T09:15:51.6248401Z Non-cacheable reasons: 2025-12-04T09:15:51.6248707Z -E 1 2025-12-04T09:15:51.6248921Z 2025-12-04T09:15:51.6249166Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:15:51.6249653Z Version (client) 0.10.0 2025-12-04T09:15:51.6250004Z + echo ::endgroup:: 2025-12-04T09:15:51.6250501Z ##[endgroup] 2025-12-04T09:15:51.6250747Z + cleanup_workspace 2025-12-04T09:15:51.6251253Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T09:15:51.6252243Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T09:15:51.6252908Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T09:15:51.6253380Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T09:15:51.6253956Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T09:15:51.6254583Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T09:15:51.6255082Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T09:15:54.7526214Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T09:15:54.7526832Z with: 2025-12-04T09:15:54.7527105Z benchmark-results-dir: test/test-reports 2025-12-04T09:15:54.7527430Z dry-run: false 2025-12-04T09:15:54.7527685Z schema-version: v3 2025-12-04T09:15:54.7528233Z github-token: *** 2025-12-04T09:15:54.7528482Z env: 2025-12-04T09:15:54.7528720Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:15:54.7529011Z HAS_NVIDIA_GPU: false 2025-12-04T09:15:54.7529482Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:15:54.7529986Z ##[endgroup] 2025-12-04T09:15:54.7562339Z ##[group]Run set -eux 2025-12-04T09:15:54.7562645Z set -eux 2025-12-04T09:15:54.7562887Z  2025-12-04T09:15:54.7563103Z if [[ -n "" ]]; then 2025-12-04T09:15:54.7563393Z  source "" 2025-12-04T09:15:54.7563648Z fi 2025-12-04T09:15:54.7564068Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:15:54.7564501Z  2025-12-04T09:15:54.7564732Z DEVICE_NAME="" 2025-12-04T09:15:54.7565015Z DEVICE_TYPE="" 2025-12-04T09:15:54.7565281Z  2025-12-04T09:15:54.7565517Z if command -v nvidia-smi; then 2025-12-04T09:15:54.7565995Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T09:15:54.7566632Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T09:15:54.7567191Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T09:15:54.7567651Z  python3 -mpip install torch==2.7.1 2025-12-04T09:15:54.7568025Z elif command -v rocminfo; then 2025-12-04T09:15:54.7568495Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T09:15:54.7569075Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T09:15:54.7569678Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T09:15:54.7570204Z  # GPU device name coming from rocminfo instead 2025-12-04T09:15:54.7570573Z  DEVICE_NAME=rocm 2025-12-04T09:15:54.7571082Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T09:15:54.7571612Z fi 2025-12-04T09:15:54.7571841Z  2025-12-04T09:15:54.7572109Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T09:15:54.7572542Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T09:15:54.7802312Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:15:54.7802709Z env: 2025-12-04T09:15:54.7802956Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:15:54.7803255Z HAS_NVIDIA_GPU: false 2025-12-04T09:15:54.7803714Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:15:54.7804258Z ##[endgroup] 2025-12-04T09:15:54.7864908Z + [[ -n '' ]] 2025-12-04T09:15:54.7865569Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:15:55.5500531Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:15:56.6341784Z Collecting boto3==1.35.33 2025-12-04T09:15:56.6502602Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T09:15:56.9794589Z Collecting psutil==7.0.0 2025-12-04T09:15:56.9831654Z 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) 2025-12-04T09:15:57.0157831Z Collecting pynvml==12.0.0 2025-12-04T09:15:57.0198692Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T09:15:57.0308788Z 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) 2025-12-04T09:15:58.1998539Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T09:15:58.2034337Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T09:15:58.3933410Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T09:15:58.3969323Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T09:15:58.4471474Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T09:15:58.4504325Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T09:15:58.4595656Z 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) 2025-12-04T09:15:58.4605602Z 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) 2025-12-04T09:15:58.6103423Z 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) 2025-12-04T09:15:58.7649873Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T09:15:59.2871112Z Attempting uninstall: nvidia-ml-py 2025-12-04T09:15:59.2872667Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T09:15:59.2893093Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T09:15:59.3251693Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T09:15:59.3859736Z Attempting uninstall: psutil 2025-12-04T09:15:59.3860626Z Found existing installation: psutil 5.9.8 2025-12-04T09:15:59.3938336Z Uninstalling psutil-5.9.8: 2025-12-04T09:15:59.3944857Z Successfully uninstalled psutil-5.9.8 2025-12-04T09:15:59.5601104Z 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 2025-12-04T09:15:59.6603973Z + DEVICE_NAME= 2025-12-04T09:15:59.6604462Z + DEVICE_TYPE= 2025-12-04T09:15:59.6604928Z + command -v nvidia-smi 2025-12-04T09:15:59.6605360Z + command -v rocminfo 2025-12-04T09:15:59.6605820Z + echo DEVICE_NAME= 2025-12-04T09:15:59.6606209Z + echo DEVICE_TYPE= 2025-12-04T09:15:59.6629526Z ##[group]Run set -eux 2025-12-04T09:15:59.6629807Z set -eux 2025-12-04T09:15:59.6630025Z  2025-12-04T09:15:59.6630275Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T09:15:59.6630641Z  echo "Missing github-token input" 2025-12-04T09:15:59.6630972Z  exit 1 2025-12-04T09:15:59.6631185Z fi 2025-12-04T09:15:59.6638565Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:15:59.6638967Z env: 2025-12-04T09:15:59.6639190Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:15:59.6639450Z HAS_NVIDIA_GPU: false 2025-12-04T09:15:59.6639899Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:15:59.6640578Z DEVICE_NAME: 2025-12-04T09:15:59.6640807Z DEVICE_TYPE: 2025-12-04T09:15:59.6641243Z GITHUB_TOKEN: *** 2025-12-04T09:15:59.6641481Z ##[endgroup] 2025-12-04T09:15:59.6666332Z + [[ -z *** ]] 2025-12-04T09:15:59.6714183Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T09:15:59.6714646Z with: 2025-12-04T09:15:59.6715029Z github-token: *** 2025-12-04T09:15:59.6715311Z env: 2025-12-04T09:15:59.6715581Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:15:59.6715872Z HAS_NVIDIA_GPU: false 2025-12-04T09:15:59.6716325Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:15:59.6716849Z DEVICE_NAME: 2025-12-04T09:15:59.6717234Z DEVICE_TYPE: 2025-12-04T09:15:59.6717537Z ##[endgroup] 2025-12-04T09:15:59.6731915Z ##[group]Run set -eux 2025-12-04T09:15:59.6732184Z set -eux 2025-12-04T09:15:59.6732427Z  2025-12-04T09:15:59.6732936Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:15:59.6738795Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:15:59.6739198Z env: 2025-12-04T09:15:59.6739428Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:15:59.6739715Z HAS_NVIDIA_GPU: false 2025-12-04T09:15:59.6740539Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:15:59.6741074Z DEVICE_NAME: 2025-12-04T09:15:59.6741323Z DEVICE_TYPE: 2025-12-04T09:15:59.6741702Z GITHUB_TOKEN: *** 2025-12-04T09:15:59.6741957Z ##[endgroup] 2025-12-04T09:15:59.6766315Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922814090 i-0c77d3bb2d721819e 2025-12-04T09:16:02.2857539Z setting job-id=57115580607 2025-12-04T09:16:02.2858350Z setting job-name=linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge, rerun_disabled_tests) 2025-12-04T09:16:02.2968075Z ##[group]Run set -eux 2025-12-04T09:16:02.2968368Z set -eux 2025-12-04T09:16:02.2968619Z  2025-12-04T09:16:02.2968907Z if [[ -n "" ]]; then 2025-12-04T09:16:02.2969235Z  source "" 2025-12-04T09:16:02.2969473Z fi 2025-12-04T09:16:02.2969671Z  2025-12-04T09:16:02.2970089Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T09:16:02.2970631Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T09:16:02.2970971Z  --repo "${REPO}" \ 2025-12-04T09:16:02.2971280Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T09:16:02.2971618Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T09:16:02.2971975Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T09:16:02.2972325Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T09:16:02.2972655Z  --job-id "${JOB_ID}" \ 2025-12-04T09:16:02.2972957Z  --job-name "${JOB_NAME}" 2025-12-04T09:16:02.2980238Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:02.2980623Z env: 2025-12-04T09:16:02.2980848Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:02.2981108Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:02.2981573Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:02.2982082Z DEVICE_NAME: 2025-12-04T09:16:02.2982297Z DEVICE_TYPE: 2025-12-04T09:16:02.2982522Z SCHEMA_VERSION: v3 2025-12-04T09:16:02.2982770Z REPO: pytorch/pytorch 2025-12-04T09:16:02.2983033Z HEAD_BRANCH: refs/heads/main 2025-12-04T09:16:02.2983357Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:16:02.2983719Z WORKFLOW_RUN_ID: 19922814090 2025-12-04T09:16:02.2984010Z RUN_ATTEMPT: 1 2025-12-04T09:16:02.2984230Z JOB_ID: 57115580607 2025-12-04T09:16:02.2984736Z JOB_NAME: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge, rerun_disabled_tests) 2025-12-04T09:16:02.2985298Z ##[endgroup] 2025-12-04T09:16:02.3010706Z + [[ -n '' ]] 2025-12-04T09:16:02.3013949Z + 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 57115580607 --job-name 'linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge, rerun_disabled_tests)' 2025-12-04T09:16:02.3335491Z ##[group]Run set -eux 2025-12-04T09:16:02.3335780Z set -eux 2025-12-04T09:16:02.3336009Z  2025-12-04T09:16:02.3336216Z if [[ -n "" ]]; then 2025-12-04T09:16:02.3336699Z  source "" 2025-12-04T09:16:02.3337002Z fi 2025-12-04T09:16:02.3337199Z  2025-12-04T09:16:02.3337604Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T09:16:02.3344095Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:02.3344485Z env: 2025-12-04T09:16:02.3344710Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:02.3344973Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:02.3345432Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:02.3346080Z DEVICE_NAME: 2025-12-04T09:16:02.3346314Z DEVICE_TYPE: 2025-12-04T09:16:02.3346553Z ##[endgroup] 2025-12-04T09:16:02.3370107Z + [[ -n '' ]] 2025-12-04T09:16:02.3371022Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T09:16:02.3798983Z INFO:root:Fail to import torch to get the device name 2025-12-04T09:16:02.3912660Z ##[group]Run set -eux 2025-12-04T09:16:02.3912952Z set -eux 2025-12-04T09:16:02.3913169Z  2025-12-04T09:16:02.3913422Z # TODO (huydhn): Implement this part 2025-12-04T09:16:02.3913820Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:16:02.3920105Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:02.3920500Z env: 2025-12-04T09:16:02.3920722Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:02.3920986Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:02.3921457Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:02.3921974Z DEVICE_NAME: 2025-12-04T09:16:02.3922193Z DEVICE_TYPE: 2025-12-04T09:16:02.3922423Z ##[endgroup] 2025-12-04T09:16:02.3945475Z + echo 'dependencies={}' 2025-12-04T09:16:02.3965444Z ##[group]Run set -eux 2025-12-04T09:16:02.3965729Z set -eux 2025-12-04T09:16:02.3965970Z  2025-12-04T09:16:02.3966266Z if [[ -n "" ]]; then 2025-12-04T09:16:02.3966548Z  source "" 2025-12-04T09:16:02.3966790Z fi 2025-12-04T09:16:02.3967004Z  2025-12-04T09:16:02.3967260Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T09:16:02.3967716Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T09:16:02.3968222Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T09:16:02.3968631Z  exit 0 2025-12-04T09:16:02.3968844Z fi 2025-12-04T09:16:02.3969059Z  2025-12-04T09:16:02.3969303Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T09:16:02.3969782Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:16:02.3970355Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:16:02.3970802Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:16:02.3971165Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:16:02.3971514Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T09:16:02.3971853Z  --dry-run 2025-12-04T09:16:02.3972106Z else 2025-12-04T09:16:02.3972486Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:16:02.3973061Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:16:02.3973500Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:16:02.3973859Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:16:02.3988862Z  --dependencies "${DEPENDENCIES}" 2025-12-04T09:16:02.3989206Z fi 2025-12-04T09:16:02.3994570Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:02.3994962Z env: 2025-12-04T09:16:02.3995166Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:02.3995443Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:02.3995899Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:02.3997047Z DEVICE_NAME: 2025-12-04T09:16:02.3997280Z DEVICE_TYPE: 2025-12-04T09:16:02.3997637Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T09:16:02.3997966Z DRY_RUN: false 2025-12-04T09:16:02.3999393Z BENCHMARK_METADATA: {"timestamp": 1764839762, "schema_version": "v3", "name": "linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922814090, "run_attempt": 1, "job_id": 57115580607} 2025-12-04T09:16:02.4001345Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-73-177.ec2.internal"}, "name": "", "type": ""}] 2025-12-04T09:16:02.4002004Z DEPENDENCIES: {} 2025-12-04T09:16:02.4002247Z ##[endgroup] 2025-12-04T09:16:02.4024386Z + [[ -n '' ]] 2025-12-04T09:16:02.4024705Z + [[ ! -d test/test-reports ]] 2025-12-04T09:16:02.4024997Z + [[ false == \t\r\u\e ]] 2025-12-04T09:16:02.4027984Z + 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": 1764839762, "schema_version": "v3", "name": "linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922814090, "run_attempt": 1, "job_id": 57115580607}' --runners '[{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-73-177.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-12-04T09:16:02.6173402Z /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': 'test_custom_ops'}, {'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': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'test_autograd'}, {'test_file': 'test_torch'}, {'test_file': 'higher_order_ops/test_local_map'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'test_utils'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'higher_order_ops/test_print'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'test_fx'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'test_type_hints'}, {'test_file': 'test_linalg'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_public_bindings'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'complex_tensor/test_complex_tensor'}, {'test_file': 'test_tensorboard'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'test_jit'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'test_nn'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'test_overrides'}, {'test_file': 'test_reductions'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'doctests'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'test_content_store'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'test_testing'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'dynamo/test_regional_inductor'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'dynamo/test_fx_annotate'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'dynamo/test_streams'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'dynamo/test_nested_graph_breaks'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'dynamo/test_wrap_inductor_compiled_regions'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'dynamo/test_tree_map'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'test_privateuseone_python_backend'}, {'test_file': 'test_varlen_attention'}, {'test_file': 'test_package'}, {'test_file': 'test_cuda'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'test_hop_infra'}, {'test_file': 'test_transformers'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'test_license'}, {'test_file': 'test_autoload'}, {'test_file': 'nn/attention/test_open_registry'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'test_as_strided'}, {'test_file': 'test_foreach'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'test_extension_utils'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'nn/attention/test_fa4'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'test_functionalization'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'test_file_check'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'test_flop_counter'}, {'test_file': 'backends/xeon/test_launch'}, {'test_file': 'test_show_pickle'}, {'test_file': 'test_openmp'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'test_module_tracker'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'test_sparse'}, {'test_file': 'test_fx_passes'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'test_dataloader'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'test_jiterator'}, {'test_file': 'test_native_functions'}, {'test_file': 'test_typing'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_weak'}, {'test_file': 'test_decomp'}, {'test_file': 'test_complex'}, {'test_file': 'test_optim'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 'xpu/test_conv'}, {'test_file': 'test_pytree'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'test_compile_benchmark_util'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'test_stateless'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'functorch/dim/test_getsetitem'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_meta'}, {'test_file': 'test_ops_jit'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_hub'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_opaque_obj_v2'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'distributions/test_constraints'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_modules'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'test_numa_binding'}, {'test_file': 'test_pruning_op'}, {'test_file': 'test_autocast'}, {'test_file': 'test_logging'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'test_monitor'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'test_itt'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'test_masked'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'test_subclass'}, {'test_file': 'test_import_stats'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'test_schema_check'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'test_futures'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'functorch/dim/test_split'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'cpp_extensions/test_libtorch_agnostic'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_datapipe'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_functional_optim'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'test_ops'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'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': 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'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-5491fbff14dc9d3a630e.json is not a benchmark record, skipping 2025-12-04T09:16:02.6223432Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:16:02.6227490Z /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-32a18ec4eff80fe2fc2f.json is not a benchmark record, skipping 2025-12-04T09:16:02.6231382Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:16:02.6367405Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T09:16:02.6367811Z cat test/**/*_toprint.log || true 2025-12-04T09:16:02.6374434Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:02.6374826Z env: 2025-12-04T09:16:02.6375048Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:02.6375317Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:02.6375770Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:02.6376281Z DEVICE_NAME: 2025-12-04T09:16:02.6376512Z DEVICE_TYPE: 2025-12-04T09:16:02.6376724Z ##[endgroup] 2025-12-04T09:16:02.6466180Z cat: 'test/**/*_toprint.log': No such file or directory 2025-12-04T09:16:02.6492672Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:16:02.6493046Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:16:02.6498831Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:02.6499209Z env: 2025-12-04T09:16:02.6499433Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:02.6499712Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:02.6500175Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:02.6500688Z DEVICE_NAME: 2025-12-04T09:16:02.6500920Z DEVICE_TYPE: 2025-12-04T09:16:02.6501144Z MONITOR_SCRIPT_PID: 42805 2025-12-04T09:16:02.6501412Z ##[endgroup] 2025-12-04T09:16:02.6525538Z /home/ec2-user/actions-runner/_work/_temp/c6f648ed-31ff-4934-8b83-2473e5bef19e.sh: line 1: kill: (42805) - No such process 2025-12-04T09:16:02.6546071Z ##[error]Process completed with exit code 1. 2025-12-04T09:16:02.6717638Z Prepare all required actions 2025-12-04T09:16:02.6718049Z Getting action download info 2025-12-04T09:16:02.8540833Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:16:03.1100408Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T09:16:03.5756193Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T09:16:03.5756560Z with: 2025-12-04T09:16:03.5756867Z file-suffix: test-dynamo_wrapped-1-3-linux.2xlarge_57115580607 2025-12-04T09:16:03.5757282Z s3-bucket: gha-artifacts 2025-12-04T09:16:03.5757618Z env: 2025-12-04T09:16:03.5757822Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:03.5758084Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:03.5758521Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:03.5759028Z DEVICE_NAME: 2025-12-04T09:16:03.5759246Z DEVICE_TYPE: 2025-12-04T09:16:03.5759502Z ##[endgroup] 2025-12-04T09:16:03.5782274Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T09:16:03.5782735Z # Remove any previous test jsons if they exist 2025-12-04T09:16:03.5783123Z rm -f test-jsons-*.zip 2025-12-04T09:16:03.5783733Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T09:16:03.5789551Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:03.5789924Z env: 2025-12-04T09:16:03.5790147Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:03.5790422Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:03.5790865Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:03.5791377Z DEVICE_NAME: 2025-12-04T09:16:03.5791606Z DEVICE_TYPE: 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test/test-reports/dynamo.test_subclasses_1.1_b37fe37a1e3a0140_.log (stored 0%) 2025-12-04T09:16:03.6499344Z adding: test/test-reports/dynamo.test_recompiles_1.1_057e8ecd12fd7f20_.log (stored 0%) 2025-12-04T09:16:03.6500027Z adding: test/test-reports/dynamo.test_modules_1.1_68d7e5133bac82e1_.log (stored 0%) 2025-12-04T09:16:03.6500682Z adding: test/test-reports/dynamo.test_utils_1.1_9db975e9b9ecd17e_.log (stored 0%) 2025-12-04T09:16:03.6501393Z adding: test/test-reports/dynamo.test_python_dispatcher_1.1_745decfeaf202329_.log (stored 0%) 2025-12-04T09:16:03.6502105Z adding: test/test-reports/dynamo.test_comptime_1.1_b2fbe3a92ec9916b_.log (stored 0%) 2025-12-04T09:16:03.6502840Z adding: test/test-reports/dynamo.test_skip_guard_eval_unsafe_1.1_d980105b307e1f12_.log (stored 0%) 2025-12-04T09:16:03.6503561Z adding: test/test-reports/dynamo.test_view_1.1_3d3052bfd9a3bbe0_.log (stored 0%) 2025-12-04T09:16:03.6504296Z adding: test/test-reports/dynamo.test_subgraphs_1.1_cc7118037e2c3704_.log (stored 0%) 2025-12-04T09:16:03.6504968Z adding: test/test-reports/dynamo.test_torchrec_1.1_71c702418fef0646_.log (stored 0%) 2025-12-04T09:16:03.6505762Z adding: test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_2110419536046d00_.log (deflated 52%) 2025-12-04T09:16:03.6506532Z adding: test/test-reports/dynamo.test_pgo_1.1_d3179a0e15951ee1_.log (stored 0%) 2025-12-04T09:16:03.6507154Z adding: test/test-reports/dynamo.test_nops_1.1_681a5427629ac2a4_.log (stored 0%) 2025-12-04T09:16:03.6507858Z adding: test/test-reports/dynamo.test_graph_region_tracker_1.1_cf69974f660ba4db_.log (stored 0%) 2025-12-04T09:16:03.6508628Z adding: test/test-reports/dynamo.test_graph_deduplication_1.1_c809d49ca35d9a29_.log (stored 0%) 2025-12-04T09:16:03.6509380Z adding: test/test-reports/test_cuda_sanitizer_1.1_bfae1ce71f15ee4e_.log (deflated 49%) 2025-12-04T09:16:03.6510113Z adding: test/test-reports/dynamo.test_install_free_tensors_1.1_35cfc83d1f35073d_.log (stored 0%) 2025-12-04T09:16:03.6510841Z adding: test/test-reports/dynamo.test_profiler_1.1_79b3850f6785fe1c_.log (stored 0%) 2025-12-04T09:16:03.6511566Z adding: test/test-reports/dynamo.test_nested_graph_breaks_1.1_6cca27c6dc510c0c_.log (stored 0%) 2025-12-04T09:16:03.6512367Z adding: test/test-reports/dynamo.test_flat_apply_1.1_cc664ad02a822796_.log (stored 0%) 2025-12-04T09:16:03.6513116Z adding: test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_480a1f89060836c1_.log (deflated 51%) 2025-12-04T09:16:03.6513887Z adding: test/test-reports/dynamo.test_deviceguard_1.1_cef45dc49bd1df5c_.log (stored 0%) 2025-12-04T09:16:03.6514585Z adding: test/test-reports/dynamo.test_base_hop_1.1_e63d0ceda56af7cb_.log (stored 0%) 2025-12-04T09:16:03.6515244Z adding: test/test-reports/dynamo.test_modes_1.1_117651d8178b6a20_.log (stored 0%) 2025-12-04T09:16:03.6516124Z adding: test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_feb58a1a52af63f0_.log (deflated 56%) 2025-12-04T09:16:03.6517038Z adding: test/test-reports/optim.test_optim_1.1_b341e8ff0cb8ddc1_.log (deflated 7%) 2025-12-04T09:16:03.6517866Z adding: test/test-reports/torch_np.test_scalars_0D_arrays_1.1_18e4203f60c7e5ce_.log (deflated 51%) 2025-12-04T09:16:03.6518641Z adding: test/test-reports/test_xnnpack_integration_1.1_1bfa9d246ec9e8ed_.log (deflated 50%) 2025-12-04T09:16:03.6519459Z adding: test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_857583f5ad4aafa4_.log (deflated 52%) 2025-12-04T09:16:03.6520267Z adding: test/test-reports/functorch.test_vmap_3.5_90786a5c3893bc59_.log (deflated 49%) 2025-12-04T09:16:03.6520998Z adding: test/test-reports/torch_np.test_function_base_1.1_274872c5eebb0f47_.log (deflated 50%) 2025-12-04T09:16:03.6521673Z adding: test/test-reports/test_dlpack_1.1_22ce7976dd0da7f4_.log (deflated 48%) 2025-12-04T09:16:03.6522328Z adding: test/test-reports/test_function_schema_1.1_976dec637cf3c9a4_.log (deflated 49%) 2025-12-04T09:16:03.6523003Z adding: test/test-reports/test_accelerator_1.1_6ae05ea3a36b2a14_.log (stored 0%) 2025-12-04T09:16:03.6523742Z adding: test/test-reports/test_functional_autograd_benchmark_1.1_e3b5ff9961da2d81_.log (deflated 51%) 2025-12-04T09:16:03.6524465Z adding: test/test-reports/nn.test_init_1.1_bbe6f844dcd6c586_.log (deflated 48%) 2025-12-04T09:16:03.6525172Z adding: test/test-reports/profiler.test_profiler_tree_1.1_a07450bb1a33a4e5_.log (deflated 51%) 2025-12-04T09:16:03.6526005Z adding: test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_a1d9c15568fa8cac_.log (deflated 52%) 2025-12-04T09:16:03.6527044Z adding: test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_2046684f3d576d63_.log (deflated 56%) 2025-12-04T09:16:03.6546287Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T09:16:03.6546816Z # Remove any previous debugging artifacts if they exist 2025-12-04T09:16:03.6547227Z rm -f debug-*.zip 2025-12-04T09:16:03.6547623Z if [ -d 'test/debug' ]; then 2025-12-04T09:16:03.6547988Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T09:16:03.6548324Z fi 2025-12-04T09:16:03.6553351Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:03.6553746Z env: 2025-12-04T09:16:03.6553950Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:03.6554223Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:03.6554677Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:03.6555172Z DEVICE_NAME: 2025-12-04T09:16:03.6555398Z DEVICE_TYPE: 2025-12-04T09:16:03.6555733Z FILE_SUFFIX: test-dynamo_wrapped-1-3-linux.2xlarge_57115580607 2025-12-04T09:16:03.6556141Z ##[endgroup] 2025-12-04T09:16:03.6629035Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:16:03.6629361Z with: 2025-12-04T09:16:03.6629583Z s3-bucket: gha-artifacts 2025-12-04T09:16:03.6629909Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:16:03.6630274Z retention-days: 14 2025-12-04T09:16:03.6630519Z if-no-files-found: warn 2025-12-04T09:16:03.6630789Z path: test-jsons-*.zip 2025-12-04T09:16:03.6631044Z name: artifact 2025-12-04T09:16:03.6631260Z region: us-east-1 2025-12-04T09:16:03.6631485Z env: 2025-12-04T09:16:03.6631804Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:03.6632061Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:03.6632522Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:03.6633029Z DEVICE_NAME: 2025-12-04T09:16:03.6633240Z DEVICE_TYPE: 2025-12-04T09:16:03.6633465Z ##[endgroup] 2025-12-04T09:16:04.3239476Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:16:04.3239947Z With the provided path, there will be 1 file uploaded 2025-12-04T09:16:04.3240551Z Uploading to s3 prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:16:04.5053490Z Starting upload of test-jsons-test-dynamo_wrapped-1-3-linux.2xlarge_57115580607.zip 2025-12-04T09:16:04.6543102Z Finished upload of test-jsons-test-dynamo_wrapped-1-3-linux.2xlarge_57115580607.zip 2025-12-04T09:16:04.6729297Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:16:04.6729636Z with: 2025-12-04T09:16:04.6729862Z s3-bucket: gha-artifacts 2025-12-04T09:16:04.6730206Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:16:04.6730564Z retention-days: 14 2025-12-04T09:16:04.6730810Z if-no-files-found: error 2025-12-04T09:16:04.6731092Z path: test-reports-*.zip 2025-12-04T09:16:04.6731357Z name: artifact 2025-12-04T09:16:04.6731580Z region: us-east-1 2025-12-04T09:16:04.6731810Z env: 2025-12-04T09:16:04.6732025Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:04.6732283Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:04.6732748Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:04.6733259Z DEVICE_NAME: 2025-12-04T09:16:04.6733475Z DEVICE_TYPE: 2025-12-04T09:16:04.6733699Z ##[endgroup] 2025-12-04T09:16:04.9946251Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:16:04.9946736Z With the provided path, there will be 1 file uploaded 2025-12-04T09:16:04.9947190Z Uploading to s3 prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:16:04.9994042Z Starting upload of test-reports-test-dynamo_wrapped-1-3-linux.2xlarge_57115580607.zip 2025-12-04T09:16:05.1249539Z Finished upload of test-reports-test-dynamo_wrapped-1-3-linux.2xlarge_57115580607.zip 2025-12-04T09:16:05.1451479Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:16:05.1451826Z with: 2025-12-04T09:16:05.1452036Z s3-bucket: gha-artifacts 2025-12-04T09:16:05.1452364Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:16:05.1452721Z retention-days: 14 2025-12-04T09:16:05.1452968Z if-no-files-found: ignore 2025-12-04T09:16:05.1453239Z path: logs-*.zip 2025-12-04T09:16:05.1453472Z name: artifact 2025-12-04T09:16:05.1453689Z region: us-east-1 2025-12-04T09:16:05.1453919Z env: 2025-12-04T09:16:05.1454133Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:05.1454543Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:05.1455002Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:05.1455511Z DEVICE_NAME: 2025-12-04T09:16:05.1455733Z DEVICE_TYPE: 2025-12-04T09:16:05.1455951Z ##[endgroup] 2025-12-04T09:16:05.4643990Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:16:05.4644639Z With the provided path, there will be 1 file uploaded 2025-12-04T09:16:05.4645102Z Uploading to s3 prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:16:05.4690380Z Starting upload of logs-test-dynamo_wrapped-1-3-linux.2xlarge_57115580607.zip 2025-12-04T09:16:05.6082242Z Finished upload of logs-test-dynamo_wrapped-1-3-linux.2xlarge_57115580607.zip 2025-12-04T09:16:05.6236596Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:16:05.6236935Z with: 2025-12-04T09:16:05.6237164Z s3-bucket: gha-artifacts 2025-12-04T09:16:05.6237597Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:16:05.6237959Z retention-days: 14 2025-12-04T09:16:05.6238219Z if-no-files-found: ignore 2025-12-04T09:16:05.6238492Z path: debug-*.zip 2025-12-04T09:16:05.6238725Z name: artifact 2025-12-04T09:16:05.6238941Z region: us-east-1 2025-12-04T09:16:05.6239308Z env: 2025-12-04T09:16:05.6239518Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:05.6239774Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:05.6240510Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:05.6241020Z DEVICE_NAME: 2025-12-04T09:16:05.6241234Z DEVICE_TYPE: 2025-12-04T09:16:05.6241457Z ##[endgroup] 2025-12-04T09:16:05.9380464Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T09:16:05.9533907Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T09:16:05.9534501Z # shellcheck disable=SC2156 2025-12-04T09:16:05.9535213Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T09:16:05.9542146Z shell: /usr/bin/bash -e {0} 2025-12-04T09:16:05.9542427Z env: 2025-12-04T09:16:05.9542648Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:05.9542925Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:05.9543369Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:05.9543897Z DEVICE_NAME: 2025-12-04T09:16:05.9544124Z DEVICE_TYPE: 2025-12-04T09:16:05.9544333Z ##[endgroup] 2025-12-04T09:16:06.2774282Z Prepare all required actions 2025-12-04T09:16:06.2774725Z Getting action download info 2025-12-04T09:16:06.4585928Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T09:16:06.8170392Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T09:16:06.8170764Z with: 2025-12-04T09:16:06.8170981Z job_id: 57115580607 2025-12-04T09:16:06.8171485Z job_name: linux-jammy-py3.14-clang12 / test (dynamo_wrapped, 1, 3, linux.2xlarge, rerun_disabled_tests) 2025-12-04T09:16:06.8172050Z workflow_name: pull 2025-12-04T09:16:06.8172295Z workflow_run_id: 19922814090 2025-12-04T09:16:06.8172570Z workflow_attempt: 1 2025-12-04T09:16:06.8172811Z env: 2025-12-04T09:16:06.8173008Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:06.8173289Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:06.8173736Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:06.8174228Z DEVICE_NAME: 2025-12-04T09:16:06.8174504Z DEVICE_TYPE: 2025-12-04T09:16:06.8174718Z ##[endgroup] 2025-12-04T09:16:06.8211822Z ##[group]Run actions/setup-python@v6 2025-12-04T09:16:06.8212132Z with: 2025-12-04T09:16:06.8212350Z python-version: 3.10 2025-12-04T09:16:06.8212592Z check-latest: false 2025-12-04T09:16:06.8212967Z token: *** 2025-12-04T09:16:06.8213203Z update-environment: true 2025-12-04T09:16:06.8213486Z allow-prereleases: false 2025-12-04T09:16:06.8213745Z freethreaded: false 2025-12-04T09:16:06.8213985Z env: 2025-12-04T09:16:06.8214192Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:06.8214446Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:06.8214905Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:06.8215416Z DEVICE_NAME: 2025-12-04T09:16:06.8215647Z DEVICE_TYPE: 2025-12-04T09:16:06.8215873Z ##[endgroup] 2025-12-04T09:16:07.2977700Z ##[group]Installed versions 2025-12-04T09:16:07.2987245Z Version 3.10 was not found in the local cache 2025-12-04T09:16:07.3272777Z (node:49180) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T09:16:07.3273598Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:16:07.6554002Z ##[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 2025-12-04T09:16:07.6715652Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T09:16:07.6716087Z with: 2025-12-04T09:16:07.6716295Z env: 2025-12-04T09:16:07.6716509Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:07.6716774Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:07.6717232Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:07.6717972Z DEVICE_NAME: 2025-12-04T09:16:07.6718206Z DEVICE_TYPE: 2025-12-04T09:16:07.6718421Z ##[endgroup] 2025-12-04T09:16:07.6734399Z ##[group]Run set -eou pipefail 2025-12-04T09:16:07.6734710Z set -eou pipefail 2025-12-04T09:16:07.6734977Z  2025-12-04T09:16:07.6735350Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T09:16:07.6735827Z for _ in $(seq 1440); do 2025-12-04T09:16:07.6736149Z  # Break if no ssh session exists anymore 2025-12-04T09:16:07.6736504Z  if [ "$(who)" = "" ]; then 2025-12-04T09:16:07.6736845Z  break 2025-12-04T09:16:07.6737084Z  fi 2025-12-04T09:16:07.6737318Z  echo "." 2025-12-04T09:16:07.6737561Z  sleep 5 2025-12-04T09:16:07.6737784Z done 2025-12-04T09:16:07.6743711Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:07.6744111Z env: 2025-12-04T09:16:07.6744316Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:07.6744587Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:07.6745035Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:07.6745528Z DEVICE_NAME: 2025-12-04T09:16:07.6745754Z DEVICE_TYPE: 2025-12-04T09:16:07.6745972Z ##[endgroup] 2025-12-04T09:16:07.6769964Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T09:16:07.6839618Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:16:07.6840362Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:16:07.6840816Z # shellcheck disable=SC2046 2025-12-04T09:16:07.6841165Z docker stop $(docker ps -q) || true 2025-12-04T09:16:07.6841516Z # Prune all of the docker images 2025-12-04T09:16:07.6841832Z docker system prune -af 2025-12-04T09:16:07.6847824Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:07.6848213Z env: 2025-12-04T09:16:07.6848418Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:07.6848688Z HAS_NVIDIA_GPU: false 2025-12-04T09:16:07.6849139Z DOCKER_CONTAINER_ID: 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:07.6849630Z DEVICE_NAME: 2025-12-04T09:16:07.6849854Z DEVICE_TYPE: 2025-12-04T09:16:07.6850069Z ##[endgroup] 2025-12-04T09:16:18.6169262Z 2794eb3449ec 2025-12-04T09:16:19.4637483Z Deleted Containers: 2025-12-04T09:16:19.4637930Z 2794eb3449ec7d6a6756e50f317e8592916018c59f6c8ac84ffb8a34fa3fe5ae 2025-12-04T09:16:19.4638287Z 2025-12-04T09:16:26.7628338Z Deleted Images: 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2025-12-04T09:16:26.7901626Z Post job cleanup. 2025-12-04T09:16:26.9178425Z (node:49334) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T09:16:26.9179252Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:16:26.9349025Z Post job cleanup. 2025-12-04T09:16:26.9413402Z Post job cleanup. 2025-12-04T09:16:27.0466956Z [command]/usr/bin/git version 2025-12-04T09:16:27.0729346Z git version 2.50.1 2025-12-04T09:16:27.0764878Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/b175b3c3-e417-4e6f-86b3-d0f26dd5104a/.gitconfig' 2025-12-04T09:16:27.0773537Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/b175b3c3-e417-4e6f-86b3-d0f26dd5104a' before making global git config changes 2025-12-04T09:16:27.0774543Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T09:16:27.0778800Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:16:27.0821175Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T09:16:27.0857734Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-12-04T09:16:27.1247417Z Entering 'android/libs/fbjni' 2025-12-04T09:16:27.1309340Z Entering 'third_party/FP16' 2025-12-04T09:16:27.1370282Z Entering 'third_party/FXdiv' 2025-12-04T09:16:27.1429954Z Entering 'third_party/NNPACK' 2025-12-04T09:16:27.1491436Z Entering 'third_party/NVTX' 2025-12-04T09:16:27.1546788Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:16:27.1602290Z Entering 'third_party/XNNPACK' 2025-12-04T09:16:27.1735764Z Entering 'third_party/aiter' 2025-12-04T09:16:27.1791801Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:16:27.1857480Z Entering 'third_party/benchmark' 2025-12-04T09:16:27.1918920Z Entering 'third_party/composable_kernel' 2025-12-04T09:16:27.1984264Z Entering 'third_party/cpp-httplib' 2025-12-04T09:16:27.2038553Z Entering 'third_party/cpuinfo' 2025-12-04T09:16:27.2106709Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:16:27.2162713Z Entering 'third_party/cutlass' 2025-12-04T09:16:27.2228058Z Entering 'third_party/fbgemm' 2025-12-04T09:16:27.2327095Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:16:27.2405433Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:16:27.2529196Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:16:27.2612194Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:16:27.2735007Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:16:27.2812252Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:16:27.2890920Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:16:27.2965208Z Entering 'third_party/flash-attention' 2025-12-04T09:16:27.3021307Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:16:27.3081567Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:16:27.3146761Z Entering 'third_party/flatbuffers' 2025-12-04T09:16:27.3204146Z Entering 'third_party/fmt' 2025-12-04T09:16:27.3266280Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:16:27.3327800Z Entering 'third_party/gloo' 2025-12-04T09:16:27.3391725Z Entering 'third_party/googletest' 2025-12-04T09:16:27.3453733Z Entering 'third_party/ideep' 2025-12-04T09:16:27.3529802Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:16:27.3634285Z Entering 'third_party/ittapi' 2025-12-04T09:16:27.3690993Z Entering 'third_party/kineto' 2025-12-04T09:16:27.3745840Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:16:27.3801488Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:16:27.3855736Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:16:27.3909030Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:16:27.3964433Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:16:27.4017633Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:16:27.4074536Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:16:27.4129427Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:16:27.4186047Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:16:27.4239935Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:16:27.4294151Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:16:27.4347928Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:16:27.4404031Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:16:27.4463389Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:16:27.4519525Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:16:27.4575460Z Entering 'third_party/kleidiai' 2025-12-04T09:16:27.4630976Z Entering 'third_party/mimalloc' 2025-12-04T09:16:27.4686803Z Entering 'third_party/nlohmann' 2025-12-04T09:16:27.4743621Z Entering 'third_party/onnx' 2025-12-04T09:16:27.4892548Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:16:27.4973173Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:16:27.5028895Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:16:27.5082818Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:16:27.5135623Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:16:27.5189892Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:16:27.5245669Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:16:27.5299391Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:16:27.5352269Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:16:27.5404188Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:16:27.5461821Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:16:27.5515920Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:16:27.5588947Z Entering 'third_party/pocketfft' 2025-12-04T09:16:27.5644913Z Entering 'third_party/protobuf' 2025-12-04T09:16:27.5745990Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:16:27.5823679Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:16:27.5892892Z Entering 'third_party/psimd' 2025-12-04T09:16:27.5954467Z Entering 'third_party/pthreadpool' 2025-12-04T09:16:27.6016230Z Entering 'third_party/pybind11' 2025-12-04T09:16:27.6077632Z Entering 'third_party/python-peachpy' 2025-12-04T09:16:27.6139181Z Entering 'third_party/sleef' 2025-12-04T09:16:27.6200433Z Entering 'third_party/tensorpipe' 2025-12-04T09:16:27.6280008Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:16:27.6356720Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:16:27.6433411Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:16:27.6514840Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:16:27.6601549Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:16:27.6688792Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T09:16:27.6709086Z http.https://github.com/.extraheader 2025-12-04T09:16:27.6718405Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T09:16:27.6749837Z [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' || :" 2025-12-04T09:16:27.7039598Z Entering 'android/libs/fbjni' 2025-12-04T09:16:27.7078701Z http.https://github.com/.extraheader 2025-12-04T09:16:27.7112234Z Entering 'third_party/FP16' 2025-12-04T09:16:27.7149692Z http.https://github.com/.extraheader 2025-12-04T09:16:27.7182481Z Entering 'third_party/FXdiv' 2025-12-04T09:16:27.7220762Z http.https://github.com/.extraheader 2025-12-04T09:16:27.7253545Z Entering 'third_party/NNPACK' 2025-12-04T09:16:27.7291349Z http.https://github.com/.extraheader 2025-12-04T09:16:27.7324547Z Entering 'third_party/NVTX' 2025-12-04T09:16:27.7362298Z http.https://github.com/.extraheader 2025-12-04T09:16:27.7395983Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:16:27.7432703Z http.https://github.com/.extraheader 2025-12-04T09:16:27.7465881Z Entering 'third_party/XNNPACK' 2025-12-04T09:16:27.7502532Z http.https://github.com/.extraheader 2025-12-04T09:16:27.7551561Z Entering 'third_party/aiter' 2025-12-04T09:16:27.7593655Z http.https://github.com/.extraheader 2025-12-04T09:16:27.7626247Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:16:27.7662622Z http.https://github.com/.extraheader 2025-12-04T09:16:27.7704918Z Entering 'third_party/benchmark' 2025-12-04T09:16:27.7743418Z http.https://github.com/.extraheader 2025-12-04T09:16:27.7776313Z Entering 'third_party/composable_kernel' 2025-12-04T09:16:27.7813842Z http.https://github.com/.extraheader 2025-12-04T09:16:27.7859533Z Entering 'third_party/cpp-httplib' 2025-12-04T09:16:27.7896773Z http.https://github.com/.extraheader 2025-12-04T09:16:27.7929227Z Entering 'third_party/cpuinfo' 2025-12-04T09:16:27.7966157Z http.https://github.com/.extraheader 2025-12-04T09:16:27.7999601Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:16:27.8036335Z http.https://github.com/.extraheader 2025-12-04T09:16:27.8072782Z Entering 'third_party/cutlass' 2025-12-04T09:16:27.8109701Z http.https://github.com/.extraheader 2025-12-04T09:16:27.8153488Z Entering 'third_party/fbgemm' 2025-12-04T09:16:27.8190703Z http.https://github.com/.extraheader 2025-12-04T09:16:27.8226020Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:16:27.8262063Z http.https://github.com/.extraheader 2025-12-04T09:16:27.8294137Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:16:27.8331293Z http.https://github.com/.extraheader 2025-12-04T09:16:27.8372121Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:16:27.8408812Z http.https://github.com/.extraheader 2025-12-04T09:16:27.8442450Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:16:27.8478638Z http.https://github.com/.extraheader 2025-12-04T09:16:27.8521161Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:16:27.8559031Z http.https://github.com/.extraheader 2025-12-04T09:16:27.8591549Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:16:27.8627783Z http.https://github.com/.extraheader 2025-12-04T09:16:27.8660244Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:16:27.8696522Z http.https://github.com/.extraheader 2025-12-04T09:16:27.8731868Z Entering 'third_party/flash-attention' 2025-12-04T09:16:27.8769233Z http.https://github.com/.extraheader 2025-12-04T09:16:27.8802965Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:16:27.8839685Z http.https://github.com/.extraheader 2025-12-04T09:16:27.8878953Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:16:27.8914994Z http.https://github.com/.extraheader 2025-12-04T09:16:27.8958510Z Entering 'third_party/flatbuffers' 2025-12-04T09:16:27.8994766Z http.https://github.com/.extraheader 2025-12-04T09:16:27.9030680Z Entering 'third_party/fmt' 2025-12-04T09:16:27.9067879Z http.https://github.com/.extraheader 2025-12-04T09:16:27.9102026Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:16:27.9138676Z http.https://github.com/.extraheader 2025-12-04T09:16:27.9171749Z Entering 'third_party/gloo' 2025-12-04T09:16:27.9208358Z http.https://github.com/.extraheader 2025-12-04T09:16:27.9242474Z Entering 'third_party/googletest' 2025-12-04T09:16:27.9280410Z http.https://github.com/.extraheader 2025-12-04T09:16:27.9314595Z Entering 'third_party/ideep' 2025-12-04T09:16:27.9350736Z http.https://github.com/.extraheader 2025-12-04T09:16:27.9382281Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:16:27.9418067Z http.https://github.com/.extraheader 2025-12-04T09:16:27.9459265Z Entering 'third_party/ittapi' 2025-12-04T09:16:27.9496358Z http.https://github.com/.extraheader 2025-12-04T09:16:27.9529072Z Entering 'third_party/kineto' 2025-12-04T09:16:27.9566790Z http.https://github.com/.extraheader 2025-12-04T09:16:27.9600216Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:16:27.9636075Z http.https://github.com/.extraheader 2025-12-04T09:16:27.9670148Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:16:27.9705967Z http.https://github.com/.extraheader 2025-12-04T09:16:27.9740475Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:16:27.9776888Z http.https://github.com/.extraheader 2025-12-04T09:16:27.9809543Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:16:27.9847909Z http.https://github.com/.extraheader 2025-12-04T09:16:27.9880591Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:16:27.9916739Z http.https://github.com/.extraheader 2025-12-04T09:16:27.9949411Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:16:27.9985897Z http.https://github.com/.extraheader 2025-12-04T09:16:28.0020750Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:16:28.0057437Z http.https://github.com/.extraheader 2025-12-04T09:16:28.0090280Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:16:28.0127597Z http.https://github.com/.extraheader 2025-12-04T09:16:28.0160688Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:16:28.0196336Z http.https://github.com/.extraheader 2025-12-04T09:16:28.0229862Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:16:28.0266140Z http.https://github.com/.extraheader 2025-12-04T09:16:28.0299046Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:16:28.0334794Z http.https://github.com/.extraheader 2025-12-04T09:16:28.0368972Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:16:28.0405026Z http.https://github.com/.extraheader 2025-12-04T09:16:28.0441258Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:16:28.0477090Z http.https://github.com/.extraheader 2025-12-04T09:16:28.0514346Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:16:28.0552014Z http.https://github.com/.extraheader 2025-12-04T09:16:28.0584309Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:16:28.0620279Z http.https://github.com/.extraheader 2025-12-04T09:16:28.0657542Z Entering 'third_party/kleidiai' 2025-12-04T09:16:28.0694801Z http.https://github.com/.extraheader 2025-12-04T09:16:28.0728556Z Entering 'third_party/mimalloc' 2025-12-04T09:16:28.0765390Z http.https://github.com/.extraheader 2025-12-04T09:16:28.0798376Z Entering 'third_party/nlohmann' 2025-12-04T09:16:28.0836090Z http.https://github.com/.extraheader 2025-12-04T09:16:28.0870348Z Entering 'third_party/onnx' 2025-12-04T09:16:28.0906995Z http.https://github.com/.extraheader 2025-12-04T09:16:28.0957651Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:16:28.0994233Z http.https://github.com/.extraheader 2025-12-04T09:16:28.1029356Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:16:28.1067892Z http.https://github.com/.extraheader 2025-12-04T09:16:28.1102348Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:16:28.1139302Z http.https://github.com/.extraheader 2025-12-04T09:16:28.1171714Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:16:28.1207315Z http.https://github.com/.extraheader 2025-12-04T09:16:28.1239727Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:16:28.1275512Z http.https://github.com/.extraheader 2025-12-04T09:16:28.1307015Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:16:28.1344655Z http.https://github.com/.extraheader 2025-12-04T09:16:28.1379677Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:16:28.1415473Z http.https://github.com/.extraheader 2025-12-04T09:16:28.1448045Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:16:28.1484031Z http.https://github.com/.extraheader 2025-12-04T09:16:28.1516350Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:16:28.1552932Z http.https://github.com/.extraheader 2025-12-04T09:16:28.1584487Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:16:28.1620311Z http.https://github.com/.extraheader 2025-12-04T09:16:28.1658720Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:16:28.1694573Z http.https://github.com/.extraheader 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