2025-12-04T09:13:17.5813189Z Current runner version: '2.330.0' 2025-12-04T09:13:17.5820752Z Runner name: 'i-0092470dcfe31fb38' 2025-12-04T09:13:17.5821616Z Runner group name: 'default' 2025-12-04T09:13:17.5822692Z Machine name: 'ip-10-0-40-33' 2025-12-04T09:13:17.5825704Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T09:13:17.5828404Z Contents: read 2025-12-04T09:13:17.5829104Z Metadata: read 2025-12-04T09:13:17.5829770Z ##[endgroup] 2025-12-04T09:13:17.5832352Z Secret source: Actions 2025-12-04T09:13:17.5833296Z Prepare workflow directory 2025-12-04T09:13:17.6409094Z Prepare all required actions 2025-12-04T09:13:17.6455596Z Getting action download info 2025-12-04T09:13:18.0753557Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T09:13:20.1298230Z Download action repository 'pytorch/pytorch@main' (SHA:7716da9fb23f27a65b41f9f016a2afadf281c18f) 2025-12-04T09:13:34.6969941Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T09:13:35.0222229Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T09:13:35.2676605Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T09:13:35.4458425Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:13:35.6832815Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:13:35.9728964Z Getting action download info 2025-12-04T09:13:36.1314202Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T09:13:36.4421296Z Getting action download info 2025-12-04T09:13:36.5879322Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T09:13:36.9392409Z Getting action download info 2025-12-04T09:13:37.1197232Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T09:13:37.3750300Z Getting action download info 2025-12-04T09:13:37.5517305Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T09:13:37.5521785Z ##[group] Inputs 2025-12-04T09:13:37.5522212Z build-environment: linux-jammy-cuda13.0-py3.10-gcc11 2025-12-04T09:13:37.5528103Z test-matrix: {"include": [{"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:13:37.5534410Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:13:37.5535586Z sync-tag: 2025-12-04T09:13:37.5536693Z timeout-minutes: 240 2025-12-04T09:13:37.5536977Z use-gha: 2025-12-04T09:13:37.5537209Z dashboard-tag: 2025-12-04T09:13:37.5537472Z s3-bucket: gha-artifacts 2025-12-04T09:13:37.5537762Z aws-role-to-assume: 2025-12-04T09:13:37.5538442Z disable-monitor: false 2025-12-04T09:13:37.5538797Z monitor-log-interval: 5 2025-12-04T09:13:37.5539128Z monitor-data-collect-interval: 1 2025-12-04T09:13:37.5539467Z ##[endgroup] 2025-12-04T09:13:37.5540093Z Complete job name: linux-jammy-cuda13.0-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:13:37.6150772Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T09:13:37.6259750Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T09:13:37.6269146Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:37.6269829Z ##[endgroup] 2025-12-04T09:13:39.0137647Z Runner Type: linux.4xlarge 2025-12-04T09:13:39.0138201Z Instance Type: c5.4xlarge 2025-12-04T09:13:39.0138487Z AMI Name: unknown 2025-12-04T09:13:39.0171344Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T09:13:45.2769298Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T09:13:45.2769775Z with: 2025-12-04T09:13:45.2770440Z github-secret: *** 2025-12-04T09:13:45.2771223Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T09:13:45.2772076Z activate-with-label: false 2025-12-04T09:13:45.2772364Z label: with-ssh 2025-12-04T09:13:45.2772651Z remove-existing-keys: true 2025-12-04T09:13:45.2772950Z fail-silently: true 2025-12-04T09:13:45.2773198Z env: 2025-12-04T09:13:45.2773426Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:45.2773711Z ##[endgroup] 2025-12-04T09:13:45.4014722Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T09:13:45.4015723Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T09:13:45.4172965Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T09:13:45.4173443Z with: 2025-12-04T09:13:45.4173678Z no-sudo: true 2025-12-04T09:13:45.4173916Z submodules: recursive 2025-12-04T09:13:45.4174201Z fetch-depth: 0 2025-12-04T09:13:45.4174447Z env: 2025-12-04T09:13:45.4174679Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:45.4174940Z ##[endgroup] 2025-12-04T09:13:45.4257262Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:13:45.4258343Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:13:45.4267745Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:45.4268166Z env: 2025-12-04T09:13:45.4268418Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:45.4268746Z ##[endgroup] 2025-12-04T09:13:45.4389841Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T09:13:45.4390338Z # Use all available CPUs for fetching 2025-12-04T09:13:45.4390711Z cd "${GITHUB_WORKSPACE}" 2025-12-04T09:13:45.4391073Z git config --global fetch.parallel 0 2025-12-04T09:13:45.4391489Z git config --global submodule.fetchJobs 0 2025-12-04T09:13:45.4391838Z  2025-12-04T09:13:45.4392221Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T09:13:45.4392737Z # do it here as well just in case 2025-12-04T09:13:45.4393292Z if [[ -d .git ]]; then 2025-12-04T09:13:45.4393611Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T09:13:45.4393948Z  sudo git clean -ffdx 2025-12-04T09:13:45.4394235Z  else 2025-12-04T09:13:45.4394488Z  git clean -ffdx 2025-12-04T09:13:45.4394774Z  fi 2025-12-04T09:13:45.4395002Z fi 2025-12-04T09:13:45.4401194Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:45.4401610Z env: 2025-12-04T09:13:45.4401937Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:45.4402229Z NO_SUDO: true 2025-12-04T09:13:45.4402474Z ##[endgroup] 2025-12-04T09:13:45.4532470Z ##[group]Run actions/checkout@v4 2025-12-04T09:13:45.4532799Z with: 2025-12-04T09:13:45.4533065Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:13:45.4533426Z fetch-depth: 0 2025-12-04T09:13:45.4533670Z submodules: recursive 2025-12-04T09:13:45.4533942Z show-progress: false 2025-12-04T09:13:45.4534239Z repository: pytorch/pytorch 2025-12-04T09:13:45.4535031Z token: *** 2025-12-04T09:13:45.4535278Z ssh-strict: true 2025-12-04T09:13:45.4535527Z ssh-user: git 2025-12-04T09:13:45.4535787Z persist-credentials: true 2025-12-04T09:13:45.4536072Z clean: true 2025-12-04T09:13:45.4536331Z sparse-checkout-cone-mode: true 2025-12-04T09:13:45.4536648Z fetch-tags: false 2025-12-04T09:13:45.4536894Z lfs: false 2025-12-04T09:13:45.4537124Z set-safe-directory: true 2025-12-04T09:13:45.4537414Z env: 2025-12-04T09:13:45.4537638Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:45.4537894Z ##[endgroup] 2025-12-04T09:13:45.5722982Z Syncing repository: pytorch/pytorch 2025-12-04T09:13:45.5724708Z ##[group]Getting Git version info 2025-12-04T09:13:45.5725252Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T09:13:45.5725989Z [command]/usr/bin/git version 2025-12-04T09:13:45.5726280Z git version 2.50.1 2025-12-04T09:13:45.5735158Z ##[endgroup] 2025-12-04T09:13:45.5745882Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/122290a6-a284-4ee6-aceb-0ff1e5ef04d9/.gitconfig' 2025-12-04T09:13:45.5765258Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/122290a6-a284-4ee6-aceb-0ff1e5ef04d9' before making global git config changes 2025-12-04T09:13:45.5766352Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T09:13:45.5770927Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:13:45.5813089Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T09:13:45.5816514Z ##[group]Initializing the repository 2025-12-04T09:13:45.5820973Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:13:45.5857047Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T09:13:45.5857847Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T09:13:45.5858492Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T09:13:45.5858944Z hint: 2025-12-04T09:13:45.5859274Z hint: git config --global init.defaultBranch 2025-12-04T09:13:45.5859664Z hint: 2025-12-04T09:13:45.5860019Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T09:13:45.5860646Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T09:13:45.5861107Z hint: 2025-12-04T09:13:45.5861337Z hint: git branch -m 2025-12-04T09:13:45.5861616Z hint: 2025-12-04T09:13:45.5861998Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T09:13:45.5862754Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T09:13:45.5867629Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T09:13:45.5896910Z ##[endgroup] 2025-12-04T09:13:45.5897633Z ##[group]Disabling automatic garbage collection 2025-12-04T09:13:45.5900397Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T09:13:45.5928570Z ##[endgroup] 2025-12-04T09:13:45.5928986Z ##[group]Setting up auth 2025-12-04T09:13:45.5935238Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T09:13:45.5964917Z [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' || :" 2025-12-04T09:13:45.6287334Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T09:13:45.6316738Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-12-04T09:13:45.6619877Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T09:13:45.6652313Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T09:13:45.6954747Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T09:13:45.7006984Z ##[endgroup] 2025-12-04T09:13:45.7007438Z ##[group]Fetching the repository 2025-12-04T09:13:45.7015728Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T09:14:40.9261355Z From https://github.com/pytorch/pytorch 2025-12-04T09:14:40.9263160Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T09:14:40.9263827Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T09:14:40.9264454Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T09:14:40.9265177Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T09:14:40.9265830Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T09:14:40.9266440Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T09:14:40.9267025Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T09:14:40.9267949Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T09:14:40.9268648Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T09:14:40.9269905Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T09:14:40.9271846Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T09:14:40.9273007Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T09:14:40.9274272Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T09:14:40.9275525Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T09:14:40.9276688Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T09:14:40.9278394Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T09:14:40.9279840Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T09:14:40.9281539Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T09:14:40.9282592Z * [new branch] adi/test -> origin/adi/test 2025-12-04T09:14:40.9284054Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T09:14:40.9285227Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T09:14:40.9286480Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T09:14:40.9287702Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T09:14:40.9288966Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T09:14:40.9290082Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T09:14:40.9291764Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T09:14:40.9293938Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T09:14:40.9295107Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T09:14:40.9296943Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T09:14:40.9297724Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T09:14:40.9299632Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T09:14:40.9300853Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T09:14:40.9302013Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T09:14:40.9303349Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T09:14:40.9304417Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T09:14:40.9305732Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T09:14:40.9306763Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T09:14:40.9308572Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T09:14:40.9310253Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T09:14:40.9311426Z * [new branch] angelayi/side_eff -> origin/angelayi/side_eff 2025-12-04T09:14:40.9312855Z * [new branch] angelayi/state_dict -> origin/angelayi/state_dict 2025-12-04T09:14:40.9313945Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-12-04T09:14:40.9315444Z * [new branch] angelayi/symm_mem -> origin/angelayi/symm_mem 2025-12-04T09:14:40.9316460Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-12-04T09:14:40.9317851Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-12-04T09:14:40.9319060Z * [new branch] annotate_assert -> origin/annotate_assert 2025-12-04T09:14:40.9320486Z * [new branch] annotate_fallback_kernel -> origin/annotate_fallback_kernel 2025-12-04T09:14:40.9321646Z * [new branch] annotation_deepcopy -> origin/annotation_deepcopy 2025-12-04T09:14:40.9322872Z * [new branch] annotation_dynamo -> origin/annotation_dynamo 2025-12-04T09:14:40.9324349Z * [new branch] aot_eager_stack_trace -> origin/aot_eager_stack_trace 2025-12-04T09:14:40.9325461Z * [new 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zhxchen17/dynamo/unsafe_drop_all_guards -> origin/zhxchen17/dynamo/unsafe_drop_all_guards 2025-12-04T09:14:41.5971921Z * [new branch] zhxchen17/export/call_override -> origin/zhxchen17/export/call_override 2025-12-04T09:14:41.5973070Z * [new branch] zhxchen17/export/codemod1 -> origin/zhxchen17/export/codemod1 2025-12-04T09:14:41.5974347Z * [new branch] zhxchen17/export/ctx_return -> origin/zhxchen17/export/ctx_return 2025-12-04T09:14:41.5975778Z * [new branch] zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn 2025-12-04T09:14:41.5976914Z * [new branch] zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check 2025-12-04T09:14:41.5978592Z * [new branch] zhxchen17/precompile/aoti -> origin/zhxchen17/precompile/aoti 2025-12-04T09:14:41.5979746Z * [new branch] zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals 2025-12-04T09:14:41.5980971Z * [new branch] zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards 2025-12-04T09:14:41.5982488Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-12-04T09:14:41.5983725Z * [new branch] zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update 2025-12-04T09:14:41.5985425Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-12-04T09:14:41.5987092Z * [new branch] zxiiro/build-times -> origin/zxiiro/build-times 2025-12-04T09:14:41.5988261Z * [new branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T09:14:41.5989526Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T09:14:41.5990732Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T09:14:41.5992197Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T09:14:41.5993348Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T09:14:41.5994703Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T09:14:41.5995539Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T09:14:41.5996655Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T09:14:41.5997444Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T09:14:41.5998302Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T09:14:41.5999079Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T09:14:41.6000006Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T09:14:41.6001368Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T09:14:41.6002171Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T09:14:41.6003419Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T09:14:41.6004347Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T09:14:41.6005211Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T09:14:41.6006101Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T09:14:41.6007385Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T09:14:41.6008506Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T09:14:41.6009525Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T09:14:41.6010340Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T09:14:41.6011165Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T09:14:41.6012206Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T09:14:41.6013023Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T09:14:41.6014118Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T09:14:41.6014916Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T09:14:41.6016292Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T09:14:41.6017114Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T09:14:41.6017926Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T09:14:41.6018887Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T09:14:41.6019835Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T09:14:41.6020635Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T09:14:41.6021610Z * [new tag] ciflow/dynamo/169525 -> ciflow/dynamo/169525 2025-12-04T09:14:41.6022677Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T09:14:41.6023488Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T09:14:41.6024505Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T09:14:41.6025484Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T09:14:41.6026230Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T09:14:41.6027058Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T09:14:41.6028108Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T09:14:41.6028886Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T09:14:41.6029695Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T09:14:41.6030483Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T09:14:41.6031397Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T09:14:41.6032207Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T09:14:41.6033134Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T09:14:41.6033906Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T09:14:41.6036734Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T09:14:41.6036953Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T09:14:41.6037136Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T09:14:41.6037886Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T09:14:41.6038482Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T09:14:41.6039249Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T09:14:41.6040314Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T09:14:41.6041169Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T09:14:41.6041745Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T09:14:41.6042834Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T09:14:41.6043966Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T09:14:41.6045112Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T09:14:41.6045783Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T09:14:41.6046607Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T09:14:41.6047622Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T09:14:41.6048203Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T09:14:41.6049237Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T09:14:41.6050304Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T09:14:41.6051768Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T09:14:41.6052505Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T09:14:41.6053443Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T09:14:41.6054391Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T09:14:41.6055948Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T09:14:41.6056545Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T09:14:41.6057533Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T09:14:41.6058480Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T09:14:41.6059361Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T09:14:41.6060227Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T09:14:41.6061001Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T09:14:41.6062096Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T09:14:41.6063357Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T09:14:41.6064028Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T09:14:41.6064873Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T09:14:41.6065789Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T09:14:41.6066581Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T09:14:41.6068217Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T09:14:41.6068794Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T09:14:41.6069607Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T09:14:41.6070430Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T09:14:41.6071639Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T09:14:41.6072235Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T09:14:41.6073419Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T09:14:41.6074211Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T09:14:41.6074983Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T09:14:41.6075790Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T09:14:41.6076821Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T09:14:41.6077395Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T09:14:41.6078409Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T09:14:41.6079075Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T09:14:41.6079864Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T09:14:41.6080620Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T09:14:41.6081401Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T09:14:41.6082205Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T09:14:41.6083427Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T09:14:41.6084635Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T09:14:41.6085443Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T09:14:41.6086467Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T09:14:41.6087273Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T09:14:41.6088082Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T09:14:41.6089137Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T09:14:41.6089784Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T09:14:41.6090968Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T09:14:41.6091576Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T09:14:41.6092586Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T09:14:41.6093271Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T09:14:41.6094433Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T09:14:41.6095137Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T09:14:41.6095969Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T09:14:41.6096761Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T09:14:41.6097594Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T09:14:41.6098437Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T09:14:41.6099357Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T09:14:41.6100522Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T09:14:41.6101099Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T09:14:41.6102122Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T09:14:41.6102771Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T09:14:41.6103786Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T09:14:41.6104818Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T09:14:41.6105511Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T09:14:41.6106358Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T09:14:41.6107463Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T09:14:41.6108085Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T09:14:41.6109078Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T09:14:41.6109944Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T09:14:41.6110730Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T09:14:41.6111769Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T09:14:41.6112398Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T09:14:41.6113255Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T09:14:41.6114053Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T09:14:41.6115166Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T09:14:41.6115795Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T09:14:41.6116977Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T09:14:41.6117616Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T09:14:41.6119141Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T09:14:41.6119777Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T09:14:41.6120787Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T09:14:41.6121470Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T09:14:41.6122476Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T09:14:41.6123081Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T09:14:41.6124247Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T09:14:41.6124914Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T09:14:41.6125745Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T09:14:41.6126571Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T09:14:41.6127390Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T09:14:41.6128217Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T09:14:41.6129021Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T09:14:41.6129864Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T09:14:41.6130665Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T09:14:41.6131541Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T09:14:41.6132337Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T09:14:41.6133127Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T09:14:41.6133985Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T09:14:41.6135085Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T09:14:41.6135925Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T09:14:41.6137018Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T09:14:41.6137711Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T09:14:41.6138536Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T09:14:41.6139369Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T09:14:41.6140207Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T09:14:41.6141020Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T09:14:41.6141869Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T09:14:41.6142961Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T09:14:41.6143617Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T09:14:41.6144483Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T09:14:41.6145315Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T09:14:41.6146343Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T09:14:41.6146934Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T09:14:41.6148149Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T09:14:41.6148857Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T09:14:41.6149887Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T09:14:41.6150540Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T09:14:41.6151376Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T09:14:41.6152199Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T09:14:41.6153043Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T09:14:41.6153908Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T09:14:41.6154735Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T09:14:41.6155555Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T09:14:41.6156387Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T09:14:41.6157192Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T09:14:41.6158035Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T09:14:41.6159048Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T09:14:41.6159885Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T09:14:41.6160705Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T09:14:41.6161864Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T09:14:41.6162822Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T09:14:41.6163593Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T09:14:41.6164462Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T09:14:41.6165295Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T09:14:41.6166364Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T09:14:41.6166970Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T09:14:41.6167797Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T09:14:41.6168878Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T09:14:41.6169579Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T09:14:41.6170707Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T09:14:41.6171522Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T09:14:41.6172387Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T09:14:41.6173229Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T09:14:41.6174625Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T09:14:41.6175654Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T09:14:41.6176902Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T09:14:41.6177542Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T09:14:41.6178546Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T09:14:41.6179236Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T09:14:41.6180254Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T09:14:41.6180853Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T09:14:41.6182104Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T09:14:41.6182837Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T09:14:41.6183864Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T09:14:41.6184533Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T09:14:41.6185555Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T09:14:41.6186345Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T09:14:41.6187444Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T09:14:41.6188166Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T09:14:41.6189000Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T09:14:41.6190413Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T09:14:41.6191100Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T09:14:41.6191936Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T09:14:41.6192778Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T09:14:41.6193591Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T09:14:41.6194761Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T09:14:41.6195460Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T09:14:41.6196383Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T09:14:41.6197161Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T09:14:41.6198364Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T09:14:41.6199558Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T09:14:41.6200035Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T09:14:41.6201137Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T09:14:41.6201842Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T09:14:41.6202712Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T09:14:41.6203558Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T09:14:41.6204725Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T09:14:41.6205392Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T09:14:41.6206555Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T09:14:41.6207247Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T09:14:41.6208376Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T09:14:41.6209232Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T09:14:41.6210055Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T09:14:41.6210888Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T09:14:41.6211734Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T09:14:41.6212755Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T09:14:41.6213453Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T09:14:41.6214453Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T09:14:41.6215581Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T09:14:41.6216843Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T09:14:41.6217582Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T09:14:41.6218455Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T09:14:41.6219304Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T09:14:41.6220337Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T09:14:41.6221021Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T09:14:41.6221867Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T09:14:41.6222684Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T09:14:41.6223681Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T09:14:41.6224387Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T09:14:41.6225206Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T09:14:41.6226232Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T09:14:41.6227071Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T09:14:41.6227904Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T09:14:41.6228952Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T09:14:41.6229747Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T09:14:41.6230547Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T09:14:41.6231370Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T09:14:41.6232803Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T09:14:41.6233495Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T09:14:41.6234330Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T09:14:41.6235625Z * [new tag] ciflow/inductor/169557 -> ciflow/inductor/169557 2025-12-04T09:14:41.6245096Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T09:14:41.6245608Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T09:14:41.6245838Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T09:14:41.6246078Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T09:14:41.6246294Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T09:14:41.6246509Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T09:14:41.6246736Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T09:14:41.6247082Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T09:14:41.6247269Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T09:14:41.6247440Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T09:14:41.6247608Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T09:14:41.6247850Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T09:14:41.6248068Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T09:14:41.6249165Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T09:14:41.6250218Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T09:14:41.6251067Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T09:14:41.6251847Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T09:14:41.6252697Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T09:14:41.6253826Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T09:14:41.6254614Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T09:14:41.6255394Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T09:14:41.6257080Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T09:14:41.6257783Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T09:14:41.6258773Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T09:14:41.6259474Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T09:14:41.6260290Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T09:14:41.6261431Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T09:14:41.6262294Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T09:14:41.6263389Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T09:14:41.6264366Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T09:14:41.6265947Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T09:14:41.6266948Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T09:14:41.6268255Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T09:14:41.6269308Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T09:14:41.6270315Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T09:14:41.6271336Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T09:14:41.6272468Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T09:14:41.6273642Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T09:14:41.6274609Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T09:14:41.6275864Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T09:14:41.6276626Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T09:14:41.6277439Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T09:14:41.6278752Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T09:14:41.6280138Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T09:14:41.6280863Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T09:14:41.6281927Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T09:14:41.6282755Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T09:14:41.6283914Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T09:14:41.6284966Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T09:14:41.6285641Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T09:14:41.6286418Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T09:14:41.6287239Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T09:14:41.6288300Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T09:14:41.6289024Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T09:14:41.6289787Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T09:14:41.6290869Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T09:14:41.6291552Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T09:14:41.6292598Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T09:14:41.6293309Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T09:14:41.6294088Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T09:14:41.6294899Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T09:14:41.6295700Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T09:14:41.6296469Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T09:14:41.6297316Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T09:14:41.6298021Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T09:14:41.6298823Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T09:14:41.6299605Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T09:14:41.6300394Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T09:14:41.6301566Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T09:14:41.6302676Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T09:14:41.6303615Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T09:14:41.6304359Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T09:14:41.6305296Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T09:14:41.6306004Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T09:14:41.6307026Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T09:14:41.6307727Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T09:14:41.6308552Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T09:14:41.6309387Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T09:14:41.6310238Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T09:14:41.6311184Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T09:14:41.6311915Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T09:14:41.6312748Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T09:14:41.6313578Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T09:14:41.6314386Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T09:14:41.6315666Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T09:14:41.6316494Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T09:14:41.6318017Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T09:14:41.6318529Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T09:14:41.6319366Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T09:14:41.6320127Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T09:14:41.6321322Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T09:14:41.6322384Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T09:14:41.6323710Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T09:14:41.6325392Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T09:14:41.6326564Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T09:14:41.6327642Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T09:14:41.6328716Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T09:14:41.6329539Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T09:14:41.6331158Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T09:14:41.6331716Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T09:14:41.6332903Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T09:14:41.6333722Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T09:14:41.6335059Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T09:14:41.6339391Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T09:14:41.6341024Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T09:14:41.6341655Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T09:14:41.6342749Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T09:14:41.6343435Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T09:14:41.6344226Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T09:14:41.6345020Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T09:14:41.6345792Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T09:14:41.6346579Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T09:14:41.6347399Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T09:14:41.6348162Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T09:14:41.6348975Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T09:14:41.6349725Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T09:14:41.6350520Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T09:14:41.6351958Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T09:14:41.6353033Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T09:14:41.6354066Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T09:14:41.6354753Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T09:14:41.6355768Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T09:14:41.6356459Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T09:14:41.6357557Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T09:14:41.6358258Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T09:14:41.6359251Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T09:14:41.6359938Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T09:14:41.6360746Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T09:14:41.6361571Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T09:14:41.6362591Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T09:14:41.6363299Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T09:14:41.6364573Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T09:14:41.6365244Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T09:14:41.6366310Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T09:14:41.6367138Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T09:14:41.6368245Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T09:14:41.6368959Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T09:14:41.6369909Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T09:14:41.6370629Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T09:14:41.6371430Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T09:14:41.6372276Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T09:14:41.6373094Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T09:14:41.6373924Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T09:14:41.6374947Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T09:14:41.6376365Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T09:14:41.6377203Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T09:14:41.6378239Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T09:14:41.6378983Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T09:14:41.6380088Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T09:14:41.6380781Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T09:14:41.6381793Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T09:14:41.6382478Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T09:14:41.6383607Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T09:14:41.6384302Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T09:14:41.6385295Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T09:14:41.6386315Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T09:14:41.6387017Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T09:14:41.6388036Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T09:14:41.6388724Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T09:14:41.6389576Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T09:14:41.6390574Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T09:14:41.6391274Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T09:14:41.6392290Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T09:14:41.6392967Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T09:14:41.6394083Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T09:14:41.6394897Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T09:14:41.6396042Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T09:14:41.6396834Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T09:14:41.6397831Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T09:14:41.6398847Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T09:14:41.6399536Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T09:14:41.6400546Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T09:14:41.6401224Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T09:14:41.6402425Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T09:14:41.6403198Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T09:14:41.6404498Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T09:14:41.6405233Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T09:14:41.6406222Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T09:14:41.6407170Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T09:14:41.6407917Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T09:14:41.6408753Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T09:14:41.6409582Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T09:14:41.6410560Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T09:14:41.6411239Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T09:14:41.6412566Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T09:14:41.6413294Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T09:14:41.6414243Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T09:14:41.6415025Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T09:14:41.6416076Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T09:14:41.6416886Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T09:14:41.6417696Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T09:14:41.6418654Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T09:14:41.6419604Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T09:14:41.6420309Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T09:14:41.6421281Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T09:14:41.6422017Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T09:14:41.6422839Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T09:14:41.6423669Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T09:14:41.6424497Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T09:14:41.6425582Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T09:14:41.6426242Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T09:14:41.6427216Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T09:14:41.6427959Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T09:14:41.6429051Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T09:14:41.6429780Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T09:14:41.6430742Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T09:14:41.6431839Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T09:14:41.6432597Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T09:14:41.6433978Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T09:14:41.6434906Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T09:14:41.6435917Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T09:14:41.6436680Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T09:14:41.6437629Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T09:14:41.6438350Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T09:14:41.6439175Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T09:14:41.6440151Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T09:14:41.6441106Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T09:14:41.6442354Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T09:14:41.6443371Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T09:14:41.6444203Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T09:14:41.6444992Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T09:14:41.6445759Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T09:14:41.6446567Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T09:14:41.6447681Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T09:14:41.6448407Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T09:14:41.6449141Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T09:14:41.6450190Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T09:14:41.6450878Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T09:14:41.6451886Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T09:14:41.6452557Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T09:14:41.6453340Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T09:14:41.6454157Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T09:14:41.6454911Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T09:14:41.6455707Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T09:14:41.6456950Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T09:14:41.6458216Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T09:14:41.6459230Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T09:14:41.6459917Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T09:14:41.6460910Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T09:14:41.6461602Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T09:14:41.6462717Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T09:14:41.6463416Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T09:14:41.6464413Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T09:14:41.6465232Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T09:14:41.6466048Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T09:14:41.6466886Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T09:14:41.6467999Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T09:14:41.6468811Z * [new tag] cslpull75 -> cslpull75 2025-12-04T09:14:41.6469834Z * [new tag] cslpull76 -> cslpull76 2025-12-04T09:14:41.6470577Z * [new tag] cslpull77 -> cslpull77 2025-12-04T09:14:41.6471715Z * [new tag] cslpull78 -> cslpull78 2025-12-04T09:14:41.6472763Z * [new tag] cslpull79 -> cslpull79 2025-12-04T09:14:41.6473964Z * [new tag] cslpull80 -> cslpull80 2025-12-04T09:14:41.6474787Z * [new tag] cslpull81 -> cslpull81 2025-12-04T09:14:41.6475832Z * [new tag] cslpull82 -> cslpull82 2025-12-04T09:14:41.6476659Z * [new tag] cslpull83 -> cslpull83 2025-12-04T09:14:41.6477742Z * [new tag] cslpull84 -> cslpull84 2025-12-04T09:14:41.6478482Z * [new tag] cslpull85 -> cslpull85 2025-12-04T09:14:41.6479684Z * [new tag] cslpull86 -> cslpull86 2025-12-04T09:14:41.6480488Z * [new tag] cslpull87 -> cslpull87 2025-12-04T09:14:41.6481725Z * [new tag] cslpull88 -> cslpull88 2025-12-04T09:14:41.6482482Z * [new tag] cslpull89 -> cslpull89 2025-12-04T09:14:41.6483293Z * [new tag] cslpull90 -> cslpull90 2025-12-04T09:14:41.6484977Z * [new tag] cslpull91 -> cslpull91 2025-12-04T09:14:41.6485725Z * [new tag] cslpull92 -> cslpull92 2025-12-04T09:14:41.6486906Z * [new tag] flight_5 -> flight_5 2025-12-04T09:14:41.6488050Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T09:14:41.6489038Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T09:14:41.6490056Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T09:14:41.6490872Z * [new tag] forpull1 -> forpull1 2025-12-04T09:14:41.6492321Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T09:14:41.6493339Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T09:14:41.6494123Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T09:14:41.6495299Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T09:14:41.6496330Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T09:14:41.6497388Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T09:14:41.6498804Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T09:14:41.6499611Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T09:14:41.6501471Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T09:14:41.6502529Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T09:14:41.6503548Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T09:14:41.6504533Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T09:14:41.6505545Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T09:14:41.6506458Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T09:14:41.6507808Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T09:14:41.6508723Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T09:14:41.6509674Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T09:14:41.6510698Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T09:14:41.6511734Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T09:14:41.6512695Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T09:14:41.6514144Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T09:14:41.6514962Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T09:14:41.6515994Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T09:14:41.6516996Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T09:14:41.6517995Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T09:14:41.6518937Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T09:14:41.6519960Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T09:14:41.6521270Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T09:14:41.6521790Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T09:14:41.6522861Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T09:14:41.6523947Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T09:14:41.6525015Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T09:14:41.6525950Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T09:14:41.6526953Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T09:14:41.6528276Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T09:14:41.6528984Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T09:14:41.6532074Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T09:14:41.6532477Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T09:14:41.6532902Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T09:14:41.6533324Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T09:14:41.6534033Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T09:14:41.6535040Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T09:14:41.6536039Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T09:14:41.6537014Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T09:14:41.6538070Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T09:14:41.6539310Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T09:14:41.6540226Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T09:14:41.6541165Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T09:14:41.6542188Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T09:14:41.6543136Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T09:14:41.6544142Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T09:14:41.6545137Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T09:14:41.6546349Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T09:14:41.6547059Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T09:14:41.6548057Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T09:14:41.6549069Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T09:14:41.6550028Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T09:14:41.6551086Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T09:14:41.6552027Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T09:14:41.6553036Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T09:14:41.6553926Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T09:14:41.6555248Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T09:14:41.6555980Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T09:14:41.6557142Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T09:14:41.6558042Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T09:14:41.6559024Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T09:14:41.6559865Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T09:14:41.6561130Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T09:14:41.6562073Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T09:14:41.6563686Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T09:14:41.6564590Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T09:14:41.6565627Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T09:14:41.6567109Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T09:14:41.6568119Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T09:14:41.6569281Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T09:14:41.6570678Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T09:14:41.6571638Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T09:14:41.6572637Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T09:14:41.6573494Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T09:14:41.6574518Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T09:14:41.6575505Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T09:14:41.6576335Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T09:14:41.6577583Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T09:14:41.6578468Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T09:14:41.6579708Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T09:14:41.6580371Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T09:14:41.6581407Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T09:14:41.6582431Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T09:14:41.6583676Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T09:14:41.6584624Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T09:14:41.6585612Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T09:14:41.6586589Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T09:14:41.6587640Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T09:14:41.6588709Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T09:14:41.6589628Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T09:14:41.6590734Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T09:14:41.6591616Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T09:14:41.6592584Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T09:14:41.6593570Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T09:14:41.6594650Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T09:14:41.6595681Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T09:14:41.6596651Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T09:14:41.6597677Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T09:14:41.6598705Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T09:14:41.6599714Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T09:14:41.6600689Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T09:14:41.6601653Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T09:14:41.6602684Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T09:14:41.6603777Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T09:14:41.6604648Z * [new tag] trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f -> trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f 2025-12-04T09:14:41.6605669Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T09:14:41.6606861Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T09:14:41.6607782Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T09:14:41.6608583Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T09:14:41.6609543Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T09:14:41.6610521Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T09:14:41.6611770Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T09:14:41.6612812Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T09:14:41.6613684Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T09:14:41.6614562Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T09:14:41.6615599Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T09:14:41.6616650Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T09:14:41.6617559Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T09:14:41.6618429Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T09:14:41.6619423Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T09:14:41.6620800Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T09:14:41.6622065Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T09:14:41.6623017Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T09:14:41.6623878Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T09:14:41.6625179Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T09:14:41.6626033Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T09:14:41.6627074Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T09:14:41.6628102Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T09:14:41.6629242Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T09:14:41.6630205Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T09:14:41.6631048Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T09:14:41.6632492Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T09:14:41.6633439Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T09:14:41.6634403Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T09:14:41.6635847Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T09:14:41.6636777Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T09:14:41.6637823Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T09:14:41.6638865Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T09:14:41.6639876Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T09:14:41.6640848Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T09:14:41.6641878Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T09:14:41.6643125Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T09:14:41.6644022Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T09:14:41.6645587Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T09:14:41.6646427Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T09:14:41.6647450Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T09:14:41.6648398Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T09:14:41.6649283Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T09:14:41.6650486Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T09:14:41.6651448Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T09:14:41.6652428Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T09:14:41.6653311Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T09:14:41.6654154Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T09:14:41.6655210Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T09:14:41.6656252Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T09:14:41.6657252Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T09:14:41.6658329Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T09:14:41.6659335Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T09:14:41.6660387Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T09:14:41.6661420Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T09:14:41.6662753Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T09:14:41.6663644Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T09:14:41.6664686Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T09:14:41.6665757Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T09:14:41.6666684Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T09:14:41.6667901Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T09:14:41.6668901Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T09:14:41.6669944Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T09:14:41.6670907Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T09:14:41.6672463Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T09:14:41.6673149Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T09:14:41.6674167Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T09:14:41.6675585Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T09:14:41.6676520Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T09:14:41.6677717Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T09:14:41.6678874Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T09:14:41.6679659Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T09:14:41.6680984Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T09:14:41.6682021Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T09:14:41.6682975Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T09:14:41.6684103Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T09:14:41.6685320Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T09:14:41.6686168Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T09:14:41.6687206Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T09:14:41.6688245Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T09:14:41.6689312Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T09:14:41.6690513Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T09:14:41.6691370Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T09:14:41.6692497Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T09:14:41.6693448Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T09:14:41.6694433Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T09:14:41.6695491Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T09:14:41.6696533Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T09:14:41.6697584Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T09:14:41.6698773Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T09:14:41.6700149Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T09:14:41.6701046Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T09:14:41.6702052Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T09:14:41.6703493Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T09:14:41.6704477Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T09:14:41.6705359Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T09:14:41.6706562Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T09:14:41.6707579Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T09:14:41.6708757Z * [new tag] trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 2025-12-04T09:14:41.6709686Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T09:14:41.6710728Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T09:14:41.6711757Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T09:14:41.6713485Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T09:14:41.6714413Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T09:14:41.6715449Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T09:14:41.6716478Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T09:14:41.6717498Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T09:14:41.6718556Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T09:14:41.6719604Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T09:14:41.6720553Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T09:14:41.6721564Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T09:14:41.6722614Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T09:14:41.6723513Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T09:14:41.6724803Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T09:14:41.6725757Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T09:14:41.6727393Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T09:14:41.6728336Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T09:14:41.6729466Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:14:41.6730196Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T09:14:41.6731264Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T09:14:41.6732229Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T09:14:41.6733228Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T09:14:41.6734147Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T09:14:41.6735279Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T09:14:41.6740055Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T09:14:41.6741023Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T09:14:41.6741966Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T09:14:41.6742765Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T09:14:41.6743774Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T09:14:41.6744759Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T09:14:41.6745799Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T09:14:41.6746756Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T09:14:41.6747802Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T09:14:41.6748703Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T09:14:41.6749812Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T09:14:41.6750758Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T09:14:41.6751739Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T09:14:41.6752685Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T09:14:41.6753657Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T09:14:41.6754273Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T09:14:41.6755415Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T09:14:41.6756367Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T09:14:41.6757559Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T09:14:41.6758589Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T09:14:41.6759562Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T09:14:41.6760381Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T09:14:41.6761374Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T09:14:41.6762591Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T09:14:41.6763199Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T09:14:41.6764022Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T09:14:41.6765294Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T09:14:41.6766343Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T09:14:41.6767440Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T09:14:41.6768503Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T09:14:41.6769504Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T09:14:41.6770514Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T09:14:41.6771202Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T09:14:41.6772025Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T09:14:41.6773361Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T09:14:41.6774021Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T09:14:41.6775160Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T09:14:41.6776142Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T09:14:41.6777217Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T09:14:41.6778020Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T09:14:41.6779274Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T09:14:41.6779928Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T09:14:41.6780900Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T09:14:41.6781575Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T09:14:41.6782815Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T09:14:41.6783849Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T09:14:41.6784904Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T09:14:41.6785941Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T09:14:41.6786520Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T09:14:41.6787735Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T09:14:41.6788553Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T09:14:41.6789660Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T09:14:41.6790681Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T09:14:41.6791745Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T09:14:41.6792352Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T09:14:41.6793331Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T09:14:41.6794373Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T09:14:41.6795012Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T09:14:41.6796106Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T09:14:41.6797085Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T09:14:41.6798034Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T09:14:41.6798982Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T09:14:41.6799686Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T09:14:41.6800807Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T09:14:41.6801551Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T09:14:41.6802356Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T09:14:41.6803514Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T09:14:41.6804708Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T09:14:41.6805707Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T09:14:41.6806795Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T09:14:41.6807603Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T09:14:41.6808369Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T09:14:41.6809526Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T09:14:41.6810186Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T09:14:41.6811226Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T09:14:41.6812245Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T09:14:41.6813404Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T09:14:41.6814208Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T09:14:41.6815263Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T09:14:41.6816362Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T09:14:41.6817117Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T09:14:41.6817921Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T09:14:41.6819080Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T09:14:41.6820085Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T09:14:41.6821148Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T09:14:41.6822185Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T09:14:41.6822877Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T09:14:41.6824433Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T09:14:41.6825518Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T09:14:41.6826618Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T09:14:41.6827271Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T09:14:41.6828422Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T09:14:41.6829019Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T09:14:41.6830189Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T09:14:41.6831202Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T09:14:41.6832161Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T09:14:41.6832867Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T09:14:41.6833666Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T09:14:41.6834998Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T09:14:41.6835753Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T09:14:41.6836497Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T09:14:41.6838157Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T09:14:41.6838708Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T09:14:41.6839968Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T09:14:41.6840791Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T09:14:41.6841975Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T09:14:41.6843184Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T09:14:41.6843944Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T09:14:41.6845043Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T09:14:41.6846278Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T09:14:41.6846816Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T09:14:41.6848085Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T09:14:41.6848868Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T09:14:41.6850065Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T09:14:41.6851113Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T09:14:41.6852086Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T09:14:41.6853112Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T09:14:41.6853898Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T09:14:41.6854893Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T09:14:41.6855969Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T09:14:41.6856559Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T09:14:41.6857662Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T09:14:41.6858354Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T09:14:41.6860075Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T09:14:41.6860881Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T09:14:41.6862078Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T09:14:41.6863131Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T09:14:41.6864209Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T09:14:41.6865196Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T09:14:41.6865857Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T09:14:41.6867167Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T09:14:41.6868262Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T09:14:41.6869242Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T09:14:41.6870378Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T09:14:41.6871351Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T09:14:41.6872384Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T09:14:41.6872948Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T09:14:41.6874113Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T09:14:41.6875305Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T09:14:41.6876274Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T09:14:41.6876957Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T09:14:41.6878097Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T09:14:41.6879360Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T09:14:41.6880374Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T09:14:41.6881293Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T09:14:41.6882287Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T09:14:41.6883244Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T09:14:41.6884377Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T09:14:41.6885079Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T09:14:41.6885839Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T09:14:41.6887029Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T09:14:41.6888549Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T09:14:41.6889096Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T09:14:41.6890104Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T09:14:41.6890783Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T09:14:41.6892148Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T09:14:41.6892756Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T09:14:41.6893560Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T09:14:41.6894778Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T09:14:41.6895785Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T09:14:41.6896826Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T09:14:41.6897910Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T09:14:41.6898631Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T09:14:41.6899790Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T09:14:41.6900788Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T09:14:41.6901801Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T09:14:41.6902826Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T09:14:41.6903511Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T09:14:41.6904654Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T09:14:41.6905628Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T09:14:41.6906421Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T09:14:41.6907221Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T09:14:41.6908365Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T09:14:41.6909429Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T09:14:41.6910335Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T09:14:41.6911516Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T09:14:41.6912506Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T09:14:41.6913526Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T09:14:41.6914508Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T09:14:41.6915487Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T09:14:41.6916540Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T09:14:41.6917511Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T09:14:41.6918582Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T09:14:41.6919557Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T09:14:41.6920623Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T09:14:41.6921214Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T09:14:41.6922503Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T09:14:41.6923651Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T09:14:41.6924743Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T09:14:41.6925744Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T09:14:41.6926725Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T09:14:41.6927421Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T09:14:41.6928518Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T09:14:41.6929541Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T09:14:41.6930544Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T09:14:41.6931567Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T09:14:41.6932634Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T09:14:41.6933646Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T09:14:41.6934884Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T09:14:41.6936122Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T09:14:41.6936550Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T09:14:41.6937658Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T09:14:41.6938405Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T09:14:41.6939623Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T09:14:41.6940716Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T09:14:41.6941734Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T09:14:41.6942541Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T09:14:41.6943996Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T09:14:41.6945078Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T09:14:41.6946151Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T09:14:41.6947312Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T09:14:41.6948379Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T09:14:41.6949578Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T09:14:41.6950577Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T09:14:41.6951281Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T09:14:41.6953000Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T09:14:41.6954098Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T09:14:41.6955121Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T09:14:41.6956152Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T09:14:41.6957142Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T09:14:41.6958183Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T09:14:41.6959270Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T09:14:41.6960318Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T09:14:41.6961023Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T09:14:41.6962227Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T09:14:41.6963260Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T09:14:41.6964538Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T09:14:41.6965618Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T09:14:41.6966600Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T09:14:41.6967315Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T09:14:41.6968621Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T09:14:41.6969651Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T09:14:41.6970719Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T09:14:41.6971853Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T09:14:41.6972968Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T09:14:41.6974107Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T09:14:41.6975080Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T09:14:41.6976099Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T09:14:41.6977182Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T09:14:41.6978274Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T09:14:41.6979340Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T09:14:41.6980406Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T09:14:41.6981699Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T09:14:41.6982842Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T09:14:41.6983863Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T09:14:41.6984916Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T09:14:41.6986216Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T09:14:41.6987289Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T09:14:41.6988521Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T09:14:41.6989194Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T09:14:41.6990213Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T09:14:41.6991319Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T09:14:41.6992413Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T09:14:41.6993920Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T09:14:41.6994757Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T09:14:41.6995878Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T09:14:41.6996690Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T09:14:41.6997783Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T09:14:41.6998589Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T09:14:41.6999698Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T09:14:41.7000452Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T09:14:41.7001595Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T09:14:41.7002851Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T09:14:41.7004030Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T09:14:41.7005248Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T09:14:41.7006248Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T09:14:41.7007295Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T09:14:41.7008154Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T09:14:41.7009293Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T09:14:41.7010317Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T09:14:41.7011362Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T09:14:41.7012369Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T09:14:41.7013205Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T09:14:41.7014338Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T09:14:41.7015180Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T09:14:41.7016298Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T09:14:41.7017167Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T09:14:41.7018300Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T09:14:41.7019389Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T09:14:41.7020186Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T09:14:41.7021295Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T09:14:41.7022132Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T09:14:41.7023355Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T09:14:41.7024213Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T09:14:41.7025322Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T09:14:41.7026338Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T09:14:41.7027401Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T09:14:41.7028270Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T09:14:41.7029383Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T09:14:41.7030385Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T09:14:41.7031250Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T09:14:41.7032357Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T09:14:41.7033309Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T09:14:41.7034437Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T09:14:41.7035513Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T09:14:41.7036670Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T09:14:41.7037726Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T09:14:41.7038559Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T09:14:41.7040458Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T09:14:41.7041313Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T09:14:41.7042458Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T09:14:41.7043634Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T09:14:41.7044692Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T09:14:41.7045538Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T09:14:41.7046672Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T09:14:41.7047844Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T09:14:41.7048702Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T09:14:41.7049772Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T09:14:41.7050622Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T09:14:41.7051843Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T09:14:41.7052867Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T09:14:41.7053905Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T09:14:41.7054917Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T09:14:41.7055618Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T09:14:41.7056938Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T09:14:41.7057637Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T09:14:41.7058825Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T09:14:41.7059671Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T09:14:41.7060828Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T09:14:41.7061653Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T09:14:41.7062760Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T09:14:41.7063839Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T09:14:41.7064565Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T09:14:41.7065704Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T09:14:41.7066723Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T09:14:41.7067814Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T09:14:41.7068827Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T09:14:41.7069653Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T09:14:41.7070788Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T09:14:41.7071601Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T09:14:41.7072788Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T09:14:41.7073623Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T09:14:41.7074819Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T09:14:41.7075674Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T09:14:41.7076787Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T09:14:41.7077650Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T09:14:41.7078766Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T09:14:41.7079630Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T09:14:41.7080825Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T09:14:41.7081664Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T09:14:41.7082811Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T09:14:41.7083885Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T09:14:41.7085025Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T09:14:41.7085823Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T09:14:41.7087291Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T09:14:41.7088112Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T09:14:41.7089311Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T09:14:41.7090125Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T09:14:41.7091136Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T09:14:41.7092169Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T09:14:41.7093072Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T09:14:41.7094121Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T09:14:41.7094914Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T09:14:41.7096073Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T09:14:41.7097273Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T09:14:41.7098141Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T09:14:41.7099273Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T09:14:41.7099984Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T09:14:41.7101176Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T09:14:41.7102201Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T09:14:41.7103369Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T09:14:41.7104232Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T09:14:41.7105756Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T09:14:41.7106794Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T09:14:41.7107617Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T09:14:41.7108766Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T09:14:41.7109642Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T09:14:41.7110795Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T09:14:41.7111656Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T09:14:41.7112948Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T09:14:41.7113779Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T09:14:41.7114943Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T09:14:41.7115999Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T09:14:41.7116870Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T09:14:41.7118012Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T09:14:41.7118876Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T09:14:41.7120010Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T09:14:41.7121126Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T09:14:41.7122147Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T09:14:41.7123217Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T09:14:41.7124149Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T09:14:41.7125315Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T09:14:41.7126181Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T09:14:41.7127307Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T09:14:41.7128034Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T09:14:41.7128875Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T09:14:41.7130059Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T09:14:41.7130872Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T09:14:41.7131992Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T09:14:41.7132858Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T09:14:41.7134074Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T09:14:41.7135397Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T09:14:41.7140331Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T09:14:41.7141404Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T09:14:41.7142509Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T09:14:41.7143910Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T09:14:41.7144784Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T09:14:41.7145899Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T09:14:41.7146914Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T09:14:41.7148037Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T09:14:41.7149498Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T09:14:41.7150530Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T09:14:41.7151274Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T09:14:41.7152452Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T09:14:41.7153465Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T09:14:41.7154478Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T09:14:41.7155214Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T09:14:41.7156334Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T09:14:41.7157168Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T09:14:41.7158285Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T09:14:41.7159117Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T09:14:41.7160233Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T09:14:41.7161284Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T09:14:41.7162143Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T09:14:41.7163284Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T09:14:41.7164418Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T09:14:41.7165248Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T09:14:41.7166403Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T09:14:41.7168916Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T09:14:41.7169744Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T09:14:41.7170942Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T09:14:41.7171782Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T09:14:41.7173141Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T09:14:41.7173894Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T09:14:41.7175210Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T09:14:41.7176058Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T09:14:41.7177650Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T09:14:41.7178736Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T09:14:41.7179567Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T09:14:41.7180724Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T09:14:41.7181740Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T09:14:41.7182598Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T09:14:41.7183778Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T09:14:41.7184586Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T09:14:41.7185708Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T09:14:41.7186786Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T09:14:41.7187715Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T09:14:41.7188835Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T09:14:41.7189851Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T09:14:41.7190705Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T09:14:41.7191835Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T09:14:41.7192673Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T09:14:41.7193923Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T09:14:41.7194793Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T09:14:41.7196139Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T09:14:41.7196948Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T09:14:41.7198069Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T09:14:41.7199206Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T09:14:41.7200288Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T09:14:41.7201148Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T09:14:41.7202306Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T09:14:41.7203381Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T09:14:41.7204481Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T09:14:41.7205503Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T09:14:41.7206347Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T09:14:41.7207539Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T09:14:41.7208634Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T09:14:41.7209673Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T09:14:41.7210619Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T09:14:41.7211685Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T09:14:41.7213167Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T09:14:41.7214030Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T09:14:41.7215217Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T09:14:41.7216050Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T09:14:41.7217218Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T09:14:41.7218040Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T09:14:41.7219125Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T09:14:41.7220002Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T09:14:41.7221172Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T09:14:41.7222241Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T09:14:41.7223064Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T09:14:41.7224239Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T09:14:41.7225111Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T09:14:41.7226377Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T09:14:41.7227422Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T09:14:41.7228270Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T09:14:41.7229468Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T09:14:41.7230304Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T09:14:41.7231459Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T09:14:41.7232509Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T09:14:41.7233734Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T09:14:41.7234819Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T09:14:41.7235991Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T09:14:41.7236826Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T09:14:41.7238111Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T09:14:41.7238949Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T09:14:41.7240090Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T09:14:41.7241143Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T09:14:41.7242316Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T09:14:41.7243438Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T09:14:41.7244970Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T09:14:41.7246003Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T09:14:41.7247011Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T09:14:41.7248149Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T09:14:41.7248948Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T09:14:41.7250186Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T09:14:41.7251287Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T09:14:41.7252305Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T09:14:41.7253167Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T09:14:41.7254362Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T09:14:41.7255393Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T09:14:41.7256407Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T09:14:41.7257429Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T09:14:41.7258455Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T09:14:41.7259634Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T09:14:41.7260505Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T09:14:41.7261718Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T09:14:41.7262794Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T09:14:41.7263715Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T09:14:41.7264901Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T09:14:41.7266006Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T09:14:41.7267392Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T09:14:41.7268419Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T09:14:41.7269495Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T09:14:41.7270719Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T09:14:41.7272135Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T09:14:41.7273145Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T09:14:41.7274182Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T09:14:41.7275192Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T09:14:41.7276346Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T09:14:41.7277154Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T09:14:41.7278435Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T09:14:41.7279694Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T09:14:41.7280776Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T09:14:41.7281866Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T09:14:41.7282721Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T09:14:41.7284035Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T09:14:41.7285053Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T09:14:41.7286129Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T09:14:41.7286886Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T09:14:41.7288013Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T09:14:41.7289100Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T09:14:41.7289936Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T09:14:41.7291186Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T09:14:41.7292266Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T09:14:41.7293288Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T09:14:41.7294158Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T09:14:41.7295328Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T09:14:41.7296508Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T09:14:41.7297521Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T09:14:41.7298611Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T09:14:41.7299624Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T09:14:41.7300316Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T09:14:41.7301377Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T09:14:41.7302268Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T09:14:41.7303425Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T09:14:41.7304268Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T09:14:41.7305605Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T09:14:41.7306460Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T09:14:41.7307638Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T09:14:41.7308706Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T09:14:41.7309557Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T09:14:41.7310894Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T09:14:41.7311974Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T09:14:41.7313447Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T09:14:41.7314515Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T09:14:41.7315689Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T09:14:41.7316767Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T09:14:41.7317892Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T09:14:41.7318970Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T09:14:41.7320059Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T09:14:41.7321172Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T09:14:41.7322342Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T09:14:41.7323116Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T09:14:41.7324437Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T09:14:41.7325575Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T09:14:41.7326421Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T09:14:41.7327626Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T09:14:41.7329143Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T09:14:41.7330194Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T09:14:41.7331191Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T09:14:41.7332341Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T09:14:41.7333434Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T09:14:41.7334506Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T09:14:41.7341984Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T09:14:41.7342483Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T09:14:41.7342692Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T09:14:41.7342902Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T09:14:41.7343099Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T09:14:41.7343296Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T09:14:41.7343682Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T09:14:41.7343890Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T09:14:41.7344304Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T09:14:41.7345685Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T09:14:41.7346906Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T09:14:41.7347934Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T09:14:41.7349016Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T09:14:41.7350094Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T09:14:41.7351157Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T09:14:41.7352181Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T09:14:41.7353242Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T09:14:41.7354359Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T09:14:41.7355386Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T09:14:41.7356481Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T09:14:41.7357549Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T09:14:41.7358634Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T09:14:41.7359715Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T09:14:41.7360790Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T09:14:41.7361797Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T09:14:41.7362905Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T09:14:41.7363976Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T09:14:41.7365228Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T09:14:41.7365977Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T09:14:41.7367244Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T09:14:41.7368428Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T09:14:41.7369469Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T09:14:41.7372754Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T09:14:41.7372969Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T09:14:41.7373191Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T09:14:41.7374030Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T09:14:41.7374662Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T09:14:41.7375754Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T09:14:41.7376778Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T09:14:41.7377891Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T09:14:41.7379057Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T09:14:41.7379962Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T09:14:41.7381257Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T09:14:41.7382312Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T09:14:41.7383731Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T09:14:41.7384511Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T09:14:41.7386112Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T09:14:41.7386948Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T09:14:41.7388159Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T09:14:41.7389228Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T09:14:41.7390318Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T09:14:41.7391358Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T09:14:41.7392413Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T09:14:41.7393479Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T09:14:41.7394558Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T09:14:41.7395574Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T09:14:41.7396656Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T09:14:41.7397739Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T09:14:41.7398920Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T09:14:41.7400206Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T09:14:41.7401335Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T09:14:41.7402166Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T09:14:41.7403397Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T09:14:41.7404710Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T09:14:41.7405441Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T09:14:41.7406753Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T09:14:41.7407904Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T09:14:41.7409023Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T09:14:41.7410204Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T09:14:41.7410973Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T09:14:41.7412312Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T09:14:41.7413389Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T09:14:41.7414473Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T09:14:41.7415550Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T09:14:41.7416702Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T09:14:41.7417497Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T09:14:41.7418555Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T09:14:41.7419322Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T09:14:41.7420553Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T09:14:41.7421598Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T09:14:41.7422444Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T09:14:41.7424012Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T09:14:41.7425096Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T09:14:41.7426166Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T09:14:41.7427288Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T09:14:41.7428380Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T09:14:41.7429420Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T09:14:41.7430509Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T09:14:41.7431612Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T09:14:41.7433070Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T09:14:41.7434195Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T09:14:41.7435537Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T09:14:41.7436611Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T09:14:41.7437705Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T09:14:41.7438785Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T09:14:41.7439926Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T09:14:41.7441035Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T09:14:41.7442193Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T09:14:41.7443249Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T09:14:41.7444631Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T09:14:41.7445378Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T09:14:41.7446574Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T09:14:41.7447707Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T09:14:41.7448898Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T09:14:41.7450009Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T09:14:41.7451166Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T09:14:41.7452773Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T09:14:41.7454224Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T09:14:41.7455726Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T09:14:41.7456752Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T09:14:41.7457837Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T09:14:41.7458658Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T09:14:41.7459859Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T09:14:41.7460783Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T09:14:41.7461868Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T09:14:41.7462982Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T09:14:41.7464057Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T09:14:41.7464857Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T09:14:41.7466145Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T09:14:41.7466951Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T09:14:41.7468162Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T09:14:41.7469316Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T09:14:41.7470328Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T09:14:41.7471453Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T09:14:41.7472536Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T09:14:41.7473646Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T09:14:41.7474777Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T09:14:41.7475794Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T09:14:41.7476878Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T09:14:41.7478016Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T09:14:41.7479103Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T09:14:41.7480155Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T09:14:41.7481268Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T09:14:41.7482310Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T09:14:41.7483353Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T09:14:41.7484693Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T09:14:41.7485798Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T09:14:41.7486888Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T09:14:41.7488206Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T09:14:41.7489281Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T09:14:41.7490363Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T09:14:41.7491436Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T09:14:41.7492708Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T09:14:41.7493850Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T09:14:41.7494946Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T09:14:41.7495991Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T09:14:41.7497071Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T09:14:41.7498238Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T09:14:41.7499376Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T09:14:41.7500874Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T09:14:41.7501924Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T09:14:41.7503054Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T09:14:41.7503760Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T09:14:41.7505122Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T09:14:41.7506224Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T09:14:41.7507227Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T09:14:41.7508364Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T09:14:41.7509532Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T09:14:41.7511328Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T09:14:41.7512351Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T09:14:41.7513434Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T09:14:41.7514237Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T09:14:41.7515472Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T09:14:41.7516595Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T09:14:41.7517662Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T09:14:41.7518736Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T09:14:41.7519515Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T09:14:41.7520753Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T09:14:41.7521912Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T09:14:41.7522693Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T09:14:41.7524097Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T09:14:41.7525284Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T09:14:41.7527383Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T09:14:41.7528498Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T09:14:41.7529660Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T09:14:41.7530906Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T09:14:41.7532028Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T09:14:41.7533127Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T09:14:41.7534210Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T09:14:41.7535413Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T09:14:41.7540512Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T09:14:41.7541575Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T09:14:41.7542698Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T09:14:41.7543914Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T09:14:41.7545035Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T09:14:41.7545980Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T09:14:41.7547252Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T09:14:41.7548379Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T09:14:41.7549499Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T09:14:41.7550638Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T09:14:41.7551777Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T09:14:41.7552588Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T09:14:41.7554117Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T09:14:41.7555386Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T09:14:41.7556568Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T09:14:41.7557667Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T09:14:41.7558730Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T09:14:41.7559733Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T09:14:41.7560872Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T09:14:41.7562060Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T09:14:41.7563192Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T09:14:41.7564415Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T09:14:41.7565636Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T09:14:41.7566786Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T09:14:41.7567886Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T09:14:41.7569030Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T09:14:41.7570190Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T09:14:41.7571084Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T09:14:41.7571950Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T09:14:41.7573222Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T09:14:41.7574286Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T09:14:41.7575329Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T09:14:41.7576461Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T09:14:41.7577520Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T09:14:41.7578646Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T09:14:41.7579764Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T09:14:41.7580772Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T09:14:41.7582522Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T09:14:41.7583528Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T09:14:41.7584773Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T09:14:41.7585535Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T09:14:41.7586831Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T09:14:41.7587977Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T09:14:41.7588987Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T09:14:41.7589796Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T09:14:41.7591080Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T09:14:41.7592136Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T09:14:41.7593965Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T09:14:41.7595025Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T09:14:41.7596146Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T09:14:41.7597154Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T09:14:41.7598275Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T09:14:41.7599462Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T09:14:41.7600741Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T09:14:41.7602000Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T09:14:41.7603091Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T09:14:41.7604629Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T09:14:41.7605757Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T09:14:41.7606853Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T09:14:41.7607997Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T09:14:41.7609168Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T09:14:41.7610015Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T09:14:41.7611214Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T09:14:41.7612390Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T09:14:41.7613417Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T09:14:41.7614543Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T09:14:41.7615679Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T09:14:41.7616755Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T09:14:41.7617938Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T09:14:41.7618987Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T09:14:41.7619823Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T09:14:41.7621048Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T09:14:41.7622176Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T09:14:41.7623005Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T09:14:41.7624123Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T09:14:41.7624945Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T09:14:41.7626137Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T09:14:41.7627289Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T09:14:41.7628371Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T09:14:41.7629503Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T09:14:41.7630685Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T09:14:41.7631799Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T09:14:41.7632985Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T09:14:41.7634053Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T09:14:41.7635382Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T09:14:41.7636560Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T09:14:41.7637572Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T09:14:41.7638801Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T09:14:41.7639892Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T09:14:41.7641021Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T09:14:41.7642095Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T09:14:41.7643214Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T09:14:41.7644389Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T09:14:41.7645478Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T09:14:41.7646582Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T09:14:41.7647637Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T09:14:41.7648767Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T09:14:41.7649818Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T09:14:41.7651034Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T09:14:41.7652320Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T09:14:41.7653175Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T09:14:41.7654376Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T09:14:41.7655749Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T09:14:41.7656823Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T09:14:41.7658070Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T09:14:41.7659142Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T09:14:41.7660213Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T09:14:41.7661216Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T09:14:41.7662440Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T09:14:41.7663169Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T09:14:41.7664405Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T09:14:41.7665464Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T09:14:41.7666675Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T09:14:41.7667808Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T09:14:41.7668857Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T09:14:41.7669869Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T09:14:41.7670968Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T09:14:41.7672057Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T09:14:41.7673124Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T09:14:41.7674151Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T09:14:41.7675718Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T09:14:41.7676780Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T09:14:41.7677865Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T09:14:41.7679042Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T09:14:41.7680125Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T09:14:41.7681253Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T09:14:41.7682372Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T09:14:41.7683445Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T09:14:41.7684580Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T09:14:41.7685321Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T09:14:41.7686599Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T09:14:41.7687810Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T09:14:41.7688865Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T09:14:41.7689870Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T09:14:41.7691214Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T09:14:41.7691998Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T09:14:41.7693264Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T09:14:41.7694387Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T09:14:41.7695524Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T09:14:41.7696605Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T09:14:41.7697613Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T09:14:41.7699007Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T09:14:41.7700057Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T09:14:41.7701118Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T09:14:41.7702141Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T09:14:41.7703215Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T09:14:41.7704315Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T09:14:41.7705425Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T09:14:41.7706533Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T09:14:41.7707316Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T09:14:41.7708660Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T09:14:41.7709816Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T09:14:41.7710528Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T09:14:41.7711774Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T09:14:41.7712846Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T09:14:41.7713935Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T09:14:41.7714939Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T09:14:41.7715989Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T09:14:41.7717106Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T09:14:41.7718254Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T09:14:41.7719124Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T09:14:41.7720240Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T09:14:41.7721601Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T09:14:41.7722674Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T09:14:41.7723428Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T09:14:41.7724631Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T09:14:41.7725288Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T09:14:41.7726417Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T09:14:41.7727118Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T09:14:41.7728237Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T09:14:41.7728964Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T09:14:41.7730151Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T09:14:41.7730774Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T09:14:41.7731894Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T09:14:41.7732570Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T09:14:41.7733712Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T09:14:41.7734491Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T09:14:41.7735772Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T09:14:41.7736604Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T09:14:41.7737619Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T09:14:41.7738456Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T09:14:41.7739464Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T09:14:41.7740481Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T09:14:41.7741284Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T09:14:41.7742724Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T09:14:41.7743515Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T09:14:41.7744508Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T09:14:41.7745321Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T09:14:41.7746611Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T09:14:41.7747700Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T09:14:41.7749005Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T09:14:41.8551959Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T09:14:41.8581292Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:14:41.8585305Z ##[endgroup] 2025-12-04T09:14:41.8585633Z ##[group]Determining the checkout info 2025-12-04T09:14:41.8586568Z ##[endgroup] 2025-12-04T09:14:41.8590889Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T09:14:41.8627965Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T09:14:41.8666761Z ##[group]Checking out the ref 2025-12-04T09:14:41.8670640Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:14:42.8971662Z Updating files: 78% (15860/20121) 2025-12-04T09:14:42.9239988Z Updating files: 79% (15896/20121) 2025-12-04T09:14:42.9567538Z Updating files: 80% (16097/20121) 2025-12-04T09:14:42.9861585Z 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You can look around, make experimental 2025-12-04T09:14:43.3485976Z changes and commit them, and you can discard any commits you make in this 2025-12-04T09:14:43.3486569Z state without impacting any branches by switching back to a branch. 2025-12-04T09:14:43.3486914Z 2025-12-04T09:14:43.3487147Z If you want to create a new branch to retain commits you create, you may 2025-12-04T09:14:43.3487691Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T09:14:43.3488013Z 2025-12-04T09:14:43.3488129Z git switch -c 2025-12-04T09:14:43.3488348Z 2025-12-04T09:14:43.3488460Z Or undo this operation with: 2025-12-04T09:14:43.3488649Z 2025-12-04T09:14:43.3488753Z git switch - 2025-12-04T09:14:43.3488888Z 2025-12-04T09:14:43.3489136Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T09:14:43.3489522Z 2025-12-04T09:14:43.3489808Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T09:14:43.3565793Z ##[endgroup] 2025-12-04T09:14:43.3566243Z ##[group]Setting up auth for fetching submodules 2025-12-04T09:14:43.3573302Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T09:14:43.3627282Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T09:14:43.3661961Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T09:14:43.3694257Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T09:14:43.3721754Z ##[endgroup] 2025-12-04T09:14:43.3722375Z ##[group]Fetching submodules 2025-12-04T09:14:43.3727026Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T09:14:43.4128303Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T09:14:43.4507574Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T09:14:43.4508751Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T09:14:43.4516041Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T09:14:43.4517132Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T09:14:43.4518108Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T09:14:43.4520766Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T09:14:43.4523721Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T09:14:43.4526948Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T09:14:43.4530375Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T09:14:43.4534046Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T09:14:43.4538221Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T09:14:43.4541615Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T09:14:43.4545461Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T09:14:43.4549237Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T09:14:43.4554304Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T09:14:43.4558639Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T09:14:43.4564364Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T09:14:43.4568720Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T09:14:43.4573276Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:14:43.4577568Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T09:14:43.4582270Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T09:14:43.4586833Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T09:14:43.4591766Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T09:14:43.4596893Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T09:14:43.4601851Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T09:14:43.4607331Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T09:14:43.4612294Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T09:14:43.4618268Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T09:14:43.4627911Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T09:14:43.4637482Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T09:14:43.4646997Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T09:14:43.4656550Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T09:14:43.4666419Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T09:14:43.4679267Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T09:14:43.4689467Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T09:14:43.4695487Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T09:14:43.4701689Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T09:14:43.4739489Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T09:14:43.6913242Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T09:14:43.6914093Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T09:14:43.6914843Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T09:14:43.6946371Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T09:14:47.5508338Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T09:14:47.5510198Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T09:14:47.5511934Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T09:14:47.5513701Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T09:14:47.5515571Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T09:14:47.5517380Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T09:14:47.5518980Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T09:14:47.5521212Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T09:14:47.5522854Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T09:14:47.5524741Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T09:14:47.5526426Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T09:14:47.5528067Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T09:14:47.5529786Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T09:14:47.5531511Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T09:14:47.5533143Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T09:14:47.5535042Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T09:14:47.5537667Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T09:14:47.5539285Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T09:14:47.5541182Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T09:14:47.6510099Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T09:14:47.9947423Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T09:14:48.2739813Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T09:14:51.0105112Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T09:14:51.0106640Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T09:14:51.0108132Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T09:14:51.0109588Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T09:14:51.1106245Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T09:15:11.1539037Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T09:15:11.1540827Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T09:15:11.1542736Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T09:15:11.1543879Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T09:15:11.1544634Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T09:15:11.1717749Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T09:15:11.1863055Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T09:15:11.1976404Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T09:15:11.2256377Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T09:15:11.3187110Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T09:15:11.3812470Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T09:15:12.1953694Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T09:15:12.4001122Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T09:15:12.4024916Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:15:12.4058414Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T09:15:17.6722198Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T09:15:17.6995496Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T09:15:18.0925371Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T09:15:18.1520049Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T09:15:18.2589146Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T09:15:18.3117734Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T09:15:19.0074986Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T09:15:19.1773796Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T09:15:19.1799518Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T09:15:19.1802365Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:15:19.1805975Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:15:19.1809014Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T09:15:19.1812097Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T09:15:19.1815370Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:15:19.1818551Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T09:15:19.1853202Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T09:15:20.5026577Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T09:15:20.5027984Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T09:15:20.5028943Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T09:15:20.6025645Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T09:15:24.3134838Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T09:15:24.4136618Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T09:15:27.1175122Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T09:15:27.5101699Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T09:15:27.6209526Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T09:15:28.3132821Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T09:15:28.3652196Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T09:15:28.3791610Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T09:15:28.4959644Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T09:15:28.5736563Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T09:15:28.5760313Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:15:28.5762631Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:15:28.5795784Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T09:15:33.4541586Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T09:15:33.7218937Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T09:15:34.3330332Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T09:15:34.4871710Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T09:15:34.5230755Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T09:15:34.5718118Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T09:15:34.6026019Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T09:15:34.6529992Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T09:15:34.6687437Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T09:15:34.6706839Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T09:15:34.6738468Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T09:15:50.8505250Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T09:15:50.8733799Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T09:15:50.9655838Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T09:15:50.9678203Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:15:50.9680504Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:15:50.9683542Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:15:50.9717010Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T09:15:51.7433715Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T09:15:52.4139099Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T09:15:52.5170093Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T09:15:52.5191457Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:15:52.5194106Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:15:52.5197114Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:15:52.5200321Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:15:52.5203405Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:15:52.5207586Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:15:52.5210936Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:15:52.5214452Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:15:52.5218136Z 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' 2025-12-04T09:15:52.5253745Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T09:15:54.5988436Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T09:15:54.5989868Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T09:15:54.5991170Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T09:15:54.5992404Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T09:15:54.5993621Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T09:15:54.5994885Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T09:15:54.5996139Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T09:15:54.6987894Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T09:16:02.0777042Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T09:16:02.0987464Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T09:16:02.1400621Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T09:16:02.1564977Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T09:16:02.1584186Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:16:02.1616596Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-12-04T09:16:02.4261758Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-12-04T09:16:02.4477372Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-12-04T09:16:02.4979108Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T09:16:02.6085954Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-12-04T09:16:02.6277752Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:16:24.1968351Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-12-04T09:16:24.2324697Z Entering 'android/libs/fbjni' 2025-12-04T09:16:24.2389527Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-12-04T09:16:24.2408824Z Entering 'third_party/FP16' 2025-12-04T09:16:24.2474486Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-12-04T09:16:24.2494871Z Entering 'third_party/FXdiv' 2025-12-04T09:16:24.2557314Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-12-04T09:16:24.2576899Z Entering 'third_party/NNPACK' 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2025-12-04T09:16:25.3124363Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:16:25.3171521Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:16:25.3220210Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:16:25.3268647Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:16:25.3315219Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:16:25.3361817Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:16:25.3411328Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:16:25.3463208Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:16:25.3541384Z Entering 'third_party/pocketfft' 2025-12-04T09:16:25.3596793Z Entering 'third_party/protobuf' 2025-12-04T09:16:25.3655981Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:16:25.3707333Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:16:25.3771605Z Entering 'third_party/psimd' 2025-12-04T09:16:25.3827606Z Entering 'third_party/pthreadpool' 2025-12-04T09:16:25.3884524Z Entering 'third_party/pybind11' 2025-12-04T09:16:25.3939873Z Entering 'third_party/python-peachpy' 2025-12-04T09:16:25.3997329Z Entering 'third_party/sleef' 2025-12-04T09:16:25.4054171Z Entering 'third_party/tensorpipe' 2025-12-04T09:16:25.4107651Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:16:25.4160782Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:16:25.4216653Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:16:25.4269160Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:16:25.4318673Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:16:25.4392348Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T09:16:25.4758100Z Entering 'android/libs/fbjni' 2025-12-04T09:16:25.4809674Z Entering 'third_party/FP16' 2025-12-04T09:16:25.4863423Z Entering 'third_party/FXdiv' 2025-12-04T09:16:25.4915772Z Entering 'third_party/NNPACK' 2025-12-04T09:16:25.4968227Z Entering 'third_party/NVTX' 2025-12-04T09:16:25.5022362Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:16:25.5073894Z Entering 'third_party/XNNPACK' 2025-12-04T09:16:25.5144516Z Entering 'third_party/aiter' 2025-12-04T09:16:25.5195953Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:16:25.5259568Z Entering 'third_party/benchmark' 2025-12-04T09:16:25.5311266Z Entering 'third_party/composable_kernel' 2025-12-04T09:16:25.5373795Z Entering 'third_party/cpp-httplib' 2025-12-04T09:16:25.5429816Z Entering 'third_party/cpuinfo' 2025-12-04T09:16:25.5504181Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:16:25.5580700Z Entering 'third_party/cutlass' 2025-12-04T09:16:25.5670464Z Entering 'third_party/fbgemm' 2025-12-04T09:16:25.5748409Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:16:25.5818481Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:16:25.5903573Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:16:25.5973231Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:16:25.6061826Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:16:25.6130560Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:16:25.6203402Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:16:25.6281457Z Entering 'third_party/flash-attention' 2025-12-04T09:16:25.6355647Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:16:25.6435365Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:16:25.6522074Z Entering 'third_party/flatbuffers' 2025-12-04T09:16:25.6598900Z Entering 'third_party/fmt' 2025-12-04T09:16:25.6653183Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:16:25.6704406Z Entering 'third_party/gloo' 2025-12-04T09:16:25.6756876Z Entering 'third_party/googletest' 2025-12-04T09:16:25.6809234Z Entering 'third_party/ideep' 2025-12-04T09:16:25.6862026Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:16:25.6919199Z Entering 'third_party/ittapi' 2025-12-04T09:16:25.6972113Z Entering 'third_party/kineto' 2025-12-04T09:16:25.7023897Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:16:25.7074184Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:16:25.7124468Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:16:25.7174630Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:16:25.7223217Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:16:25.7276087Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:16:25.7328829Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:16:25.7379060Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:16:25.7428648Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:16:25.7479833Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:16:25.7529758Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:16:25.7580390Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:16:25.7631485Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:16:25.7685928Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:16:25.7735287Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:16:25.7787037Z Entering 'third_party/kleidiai' 2025-12-04T09:16:25.7839001Z Entering 'third_party/mimalloc' 2025-12-04T09:16:25.7890749Z Entering 'third_party/nlohmann' 2025-12-04T09:16:25.7943256Z Entering 'third_party/onnx' 2025-12-04T09:16:25.8013282Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:16:25.8067426Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:16:25.8120495Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:16:25.8170300Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:16:25.8220088Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:16:25.8268611Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:16:25.8320258Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:16:25.8368724Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:16:25.8416856Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:16:25.8465087Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:16:25.8516043Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:16:25.8568532Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:16:25.8640273Z Entering 'third_party/pocketfft' 2025-12-04T09:16:25.8691866Z Entering 'third_party/protobuf' 2025-12-04T09:16:25.8747426Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:16:25.8796010Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:16:25.8848641Z Entering 'third_party/psimd' 2025-12-04T09:16:25.8897954Z Entering 'third_party/pthreadpool' 2025-12-04T09:16:25.8950006Z Entering 'third_party/pybind11' 2025-12-04T09:16:25.9001297Z Entering 'third_party/python-peachpy' 2025-12-04T09:16:25.9054084Z Entering 'third_party/sleef' 2025-12-04T09:16:25.9104739Z Entering 'third_party/tensorpipe' 2025-12-04T09:16:25.9155238Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:16:25.9204267Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:16:25.9254018Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:16:25.9304607Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:16:25.9353268Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:16:25.9420217Z ##[endgroup] 2025-12-04T09:16:25.9461696Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T09:16:25.9487920Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:16:25.9596769Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T09:16:25.9597165Z cd "${GITHUB_WORKSPACE}" 2025-12-04T09:16:25.9597485Z # Clean stale submodule dirs 2025-12-04T09:16:25.9597832Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T09:16:25.9598255Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T09:16:25.9598826Z else 2025-12-04T09:16:25.9599154Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T09:16:25.9599543Z fi 2025-12-04T09:16:25.9610363Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:25.9610777Z env: 2025-12-04T09:16:25.9611019Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:25.9611288Z NO_SUDO: true 2025-12-04T09:16:25.9611529Z ##[endgroup] 2025-12-04T09:16:25.9996501Z Entering 'android/libs/fbjni' 2025-12-04T09:16:26.0038183Z Entering 'third_party/FP16' 2025-12-04T09:16:26.0075742Z Entering 'third_party/FXdiv' 2025-12-04T09:16:26.0112244Z Entering 'third_party/NNPACK' 2025-12-04T09:16:26.0157513Z Entering 'third_party/NVTX' 2025-12-04T09:16:26.0202831Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:16:26.0243960Z Entering 'third_party/XNNPACK' 2025-12-04T09:16:26.0382028Z Entering 'third_party/aiter' 2025-12-04T09:16:26.0432099Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:16:26.0552459Z Entering 'third_party/benchmark' 2025-12-04T09:16:26.0592952Z Entering 'third_party/composable_kernel' 2025-12-04T09:16:26.0726627Z Entering 'third_party/cpp-httplib' 2025-12-04T09:16:26.0766609Z Entering 'third_party/cpuinfo' 2025-12-04T09:16:26.0809787Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:16:26.0853275Z Entering 'third_party/cutlass' 2025-12-04T09:16:26.0968111Z Entering 'third_party/fbgemm' 2025-12-04T09:16:26.1037936Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:16:26.1074547Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:16:26.1207786Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:16:26.1252974Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:16:26.1376799Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:16:26.1418838Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:16:26.1459649Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:16:26.1515835Z Entering 'third_party/flash-attention' 2025-12-04T09:16:26.1569472Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:16:26.1697805Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:16:26.1801283Z Entering 'third_party/flatbuffers' 2025-12-04T09:16:26.1882758Z Entering 'third_party/fmt' 2025-12-04T09:16:26.1922122Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:16:26.1963697Z Entering 'third_party/gloo' 2025-12-04T09:16:26.2004248Z Entering 'third_party/googletest' 2025-12-04T09:16:26.2046660Z Entering 'third_party/ideep' 2025-12-04T09:16:26.2081850Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:16:26.2177296Z Entering 'third_party/ittapi' 2025-12-04T09:16:26.2218365Z Entering 'third_party/kineto' 2025-12-04T09:16:26.2260433Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:16:26.2304533Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:16:26.2356266Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:16:26.2394753Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:16:26.2432778Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:16:26.2469259Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:16:26.2506382Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:16:26.2544441Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:16:26.2582570Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:16:26.2629595Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:16:26.2666834Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:16:26.2704581Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:16:26.2760576Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:16:26.2806581Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:16:26.2846205Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:16:26.2888934Z Entering 'third_party/kleidiai' 2025-12-04T09:16:26.2944172Z Entering 'third_party/mimalloc' 2025-12-04T09:16:26.2986766Z Entering 'third_party/nlohmann' 2025-12-04T09:16:26.3043773Z Entering 'third_party/onnx' 2025-12-04T09:16:26.3402115Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:16:26.3446935Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:16:26.3511936Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:16:26.3550087Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:16:26.3588658Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:16:26.3624715Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:16:26.3674664Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:16:26.3711661Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:16:26.3749175Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:16:26.3786592Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:16:26.3839589Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:16:26.3879710Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:16:26.4162228Z Entering 'third_party/pocketfft' 2025-12-04T09:16:26.4199979Z Entering 'third_party/protobuf' 2025-12-04T09:16:26.4287858Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:16:26.4325497Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:16:26.4368689Z Entering 'third_party/psimd' 2025-12-04T09:16:26.4406071Z Entering 'third_party/pthreadpool' 2025-12-04T09:16:26.4443774Z Entering 'third_party/pybind11' 2025-12-04T09:16:26.4484816Z Entering 'third_party/python-peachpy' 2025-12-04T09:16:26.4523182Z Entering 'third_party/sleef' 2025-12-04T09:16:26.4563834Z Entering 'third_party/tensorpipe' 2025-12-04T09:16:26.4604740Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:16:26.4643460Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:16:26.4679640Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:16:26.4720277Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:16:26.4758367Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:16:26.4975592Z Prepare all required actions 2025-12-04T09:16:26.4976329Z Getting action download info 2025-12-04T09:16:26.6903599Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T09:16:26.6903943Z env: 2025-12-04T09:16:26.6904189Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:26.6904466Z ##[endgroup] 2025-12-04T09:16:26.6947481Z ##[group]Run set -euo pipefail 2025-12-04T09:16:26.6947863Z set -euo pipefail 2025-12-04T09:16:26.6948176Z function get_ec2_metadata() { 2025-12-04T09:16:26.6948577Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T09:16:26.6949244Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T09:16:26.6949850Z  category=$1 2025-12-04T09:16:26.6950235Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T09:16:26.6950711Z  runner_name_str=i-0092470dcfe31fb38 2025-12-04T09:16:26.6951132Z  if [[ -f /.inarc ]]; then 2025-12-04T09:16:26.6951488Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T09:16:26.6951900Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T09:16:26.6952407Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T09:16:26.6952867Z  else 2025-12-04T09:16:26.6953780Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-12-04T09:16:26.6954771Z  fi 2025-12-04T09:16:26.6954998Z } 2025-12-04T09:16:26.6955276Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T09:16:26.6955716Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T09:16:26.6956233Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T09:16:26.6956684Z echo "system info $(uname -a)" 2025-12-04T09:16:26.6963980Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:26.6964384Z env: 2025-12-04T09:16:26.6964612Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:26.6964873Z ##[endgroup] 2025-12-04T09:16:26.7135191Z ami-id: ami-08982f1c5bf93d976 2025-12-04T09:16:26.7254806Z instance-id: i-0092470dcfe31fb38 2025-12-04T09:16:26.7387501Z instance-type: c5.4xlarge 2025-12-04T09:16:26.7401934Z system info Linux ip-10-0-40-33.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T09:16:26.7426618Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:16:26.7441117Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:16:26.7448143Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:26.7448726Z env: 2025-12-04T09:16:26.7448957Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:26.7449240Z ##[endgroup] 2025-12-04T09:16:26.7500968Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:16:26.7501988Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:16:26.7508343Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:26.7508756Z env: 2025-12-04T09:16:26.7508998Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:26.7509267Z ##[endgroup] 2025-12-04T09:16:26.7563855Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T09:16:26.7564337Z if systemctl is-active --quiet docker; then 2025-12-04T09:16:26.7564751Z  echo "Docker daemon is running..."; 2025-12-04T09:16:26.7565101Z else 2025-12-04T09:16:26.7565492Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T09:16:26.7565946Z fi 2025-12-04T09:16:26.7571833Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:26.7572244Z env: 2025-12-04T09:16:26.7572465Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:26.7572748Z ##[endgroup] 2025-12-04T09:16:26.7665988Z Docker daemon is running... 2025-12-04T09:16:26.7716796Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:16:26.7717113Z with: 2025-12-04T09:16:26.7717329Z shell: bash 2025-12-04T09:16:26.7717566Z timeout_minutes: 5 2025-12-04T09:16:26.7717824Z max_attempts: 3 2025-12-04T09:16:26.7718057Z retry_wait_seconds: 30 2025-12-04T09:16:26.7720573Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-12-04T09:16:26.7723118Z polling_interval_seconds: 1 2025-12-04T09:16:26.7723416Z warning_on_retry: true 2025-12-04T09:16:26.7723810Z continue_on_error: false 2025-12-04T09:16:26.7724065Z env: 2025-12-04T09:16:26.7724278Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:26.7724563Z AWS_RETRY_MODE: standard 2025-12-04T09:16:26.7724821Z AWS_MAX_ATTEMPTS: 5 2025-12-04T09:16:26.7725089Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T09:16:26.7725380Z ##[endgroup] 2025-12-04T09:16:28.1606157Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:16:28.1607372Z Configure a credential helper to remove this warning. See 2025-12-04T09:16:28.1608321Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:16:28.1609097Z 2025-12-04T09:16:28.1609292Z Login Succeeded 2025-12-04T09:16:28.9581369Z Command completed after 1 attempt(s). 2025-12-04T09:16:28.9637632Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:16:28.9638207Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:16:28.9638707Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:16:28.9647910Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:28.9648304Z env: 2025-12-04T09:16:28.9648541Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:28.9648823Z ##[endgroup] 2025-12-04T09:16:28.9739420Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:16:28.9740061Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:16:28.9740543Z # shellcheck disable=SC2046 2025-12-04T09:16:28.9741052Z docker stop $(docker ps -q) || true 2025-12-04T09:16:28.9741438Z # Prune all of the docker images 2025-12-04T09:16:28.9741806Z docker system prune -af 2025-12-04T09:16:28.9748992Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:28.9749416Z env: 2025-12-04T09:16:28.9749643Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:28.9749933Z ##[endgroup] 2025-12-04T09:16:29.0194377Z "docker stop" requires at least 1 argument. 2025-12-04T09:16:29.0194995Z See 'docker stop --help'. 2025-12-04T09:16:29.0195178Z 2025-12-04T09:16:29.0195361Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T09:16:29.0195668Z 2025-12-04T09:16:29.0195787Z Stop one or more running containers 2025-12-04T09:16:29.0417516Z Total reclaimed space: 0B 2025-12-04T09:16:29.0631543Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T09:16:29.0632134Z with: 2025-12-04T09:16:29.0632984Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:29.0633973Z use-custom-docker-registry: true 2025-12-04T09:16:29.0634305Z docker-build-dir: .ci/docker 2025-12-04T09:16:29.0635042Z docker-build-script: ./build.sh 2025-12-04T09:16:29.0635358Z working-directory: . 2025-12-04T09:16:29.0635730Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:16:29.0636156Z force-push: false 2025-12-04T09:16:29.0636386Z env: 2025-12-04T09:16:29.0636604Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:29.0636872Z ##[endgroup] 2025-12-04T09:16:29.0657188Z ##[group]Run set -ex 2025-12-04T09:16:29.0657507Z set -ex 2025-12-04T09:16:29.0657744Z  2025-12-04T09:16:29.0658229Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T09:16:29.0658932Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T09:16:29.0659558Z # job could then download the pre-built image as usual 2025-12-04T09:16:29.0660305Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T09:16:29.0661005Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T09:16:29.0661343Z else 2025-12-04T09:16:29.0661621Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:16:29.0662098Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:16:29.0662521Z  2025-12-04T09:16:29.0663110Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T09:16:29.0663802Z  exit 0 2025-12-04T09:16:29.0664036Z fi 2025-12-04T09:16:29.0664239Z  2025-12-04T09:16:29.0664596Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T09:16:29.0665247Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T09:16:29.0665805Z  # use it as it is, but first let's extract the tag 2025-12-04T09:16:29.0666321Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T09:16:29.0666867Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:16:29.0667391Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:16:29.0667813Z else 2025-12-04T09:16:29.0668086Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T09:16:29.0668495Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T09:16:29.0668904Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T09:16:29.0669260Z  fi 2025-12-04T09:16:29.0669740Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T09:16:29.0670539Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:16:29.0671214Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:16:29.0671968Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:16:29.0672424Z fi 2025-12-04T09:16:29.0678775Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:29.0679177Z env: 2025-12-04T09:16:29.0679407Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:29.0679675Z REPO_NAME: pytorch 2025-12-04T09:16:29.0680706Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:29.0681658Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:16:29.0681968Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T09:16:29.0682370Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:16:29.0682806Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T09:16:29.0683117Z CUSTOM_TAG_PREFIX: 2025-12-04T09:16:29.0683356Z ##[endgroup] 2025-12-04T09:16:29.0711934Z + [[ -d .ci/docker ]] 2025-12-04T09:16:29.0712202Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T09:16:29.0712527Z + [[ true == \t\r\u\e ]] 2025-12-04T09:16:29.0712788Z + echo skip=false 2025-12-04T09:16:29.0714260Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-12-04T09:16:29.0719922Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:29.0720874Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T09:16:29.0745892Z + DOCKER_TAG=pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:29.0747267Z + echo docker-tag=pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:29.0748577Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:29.0772777Z ##[group]Run set +e 2025-12-04T09:16:29.0773113Z set +e 2025-12-04T09:16:29.0773358Z set -x 2025-12-04T09:16:29.0773594Z  2025-12-04T09:16:29.0773800Z login() { 2025-12-04T09:16:29.0774311Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:16:29.0774868Z } 2025-12-04T09:16:29.0775082Z  2025-12-04T09:16:29.0775304Z retry () { 2025-12-04T09:16:29.0775589Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:16:29.0775920Z } 2025-12-04T09:16:29.0776135Z  2025-12-04T09:16:29.0776383Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:16:29.0776694Z  2025-12-04T09:16:29.0776923Z START_TIME=$(date +%s) 2025-12-04T09:16:29.0777235Z # Wait up to 120 minutes 2025-12-04T09:16:29.0777616Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T09:16:29.0778126Z  # Check if image already exists, if it does then skip building it 2025-12-04T09:16:29.0778646Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T09:16:29.0779026Z  exit 0 2025-12-04T09:16:29.0779258Z  fi 2025-12-04T09:16:29.0779481Z  2025-12-04T09:16:29.0779892Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T09:16:29.0780601Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T09:16:29.0781458Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T09:16:29.0782017Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T09:16:29.0782449Z  # It's a Docker build job, let's build the image 2025-12-04T09:16:29.0782808Z  break 2025-12-04T09:16:29.0783058Z  else 2025-12-04T09:16:29.0783423Z  # It's a regular build job, wait for the image to become available 2025-12-04T09:16:29.0783868Z  sleep 300 2025-12-04T09:16:29.0784111Z  fi 2025-12-04T09:16:29.0784337Z done 2025-12-04T09:16:29.0784554Z  2025-12-04T09:16:29.0784910Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T09:16:29.0785628Z # be empty. The default action would be to continue rebuild the image 2025-12-04T09:16:29.0786184Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T09:16:29.0786669Z  # if we're on the base branch then use the parent commit 2025-12-04T09:16:29.0787084Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T09:16:29.0787421Z else 2025-12-04T09:16:29.0787767Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T09:16:29.0788263Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T09:16:29.0788650Z fi 2025-12-04T09:16:29.0788870Z  2025-12-04T09:16:29.0789097Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T09:16:29.0789472Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:16:29.0789819Z  2025-12-04T09:16:29.0790310Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T09:16:29.0790891Z  exit 0 2025-12-04T09:16:29.0791123Z fi 2025-12-04T09:16:29.0791337Z  2025-12-04T09:16:29.0791643Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T09:16:29.0792379Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T09:16:29.0793011Z  exit 1 2025-12-04T09:16:29.0793243Z fi 2025-12-04T09:16:29.0793443Z  2025-12-04T09:16:29.0793825Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T09:16:29.0794524Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T09:16:29.0795142Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T09:16:29.0795876Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T09:16:29.0796709Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T09:16:29.0797198Z fi 2025-12-04T09:16:29.0797401Z  2025-12-04T09:16:29.0797677Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:16:29.0804077Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:29.0804477Z env: 2025-12-04T09:16:29.0804707Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:29.0804985Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:16:29.0805355Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:16:29.0806357Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:29.0807566Z DOCKER_TAG: pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:29.0808272Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:16:29.0808693Z DOCKER_PUSH: 2025-12-04T09:16:29.0808927Z ##[endgroup] 2025-12-04T09:16:29.0837211Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:16:29.0838430Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:16:29.0839696Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:16:29.0841257Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:16:29.7072004Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:16:29.7072712Z Configure a credential helper to remove this warning. See 2025-12-04T09:16:29.7073458Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:16:29.7073874Z 2025-12-04T09:16:29.7073985Z Login Succeeded 2025-12-04T09:16:29.7089826Z ++ date +%s 2025-12-04T09:16:29.7101797Z + START_TIME=1764839789 2025-12-04T09:16:29.7105461Z ++ date +%s 2025-12-04T09:16:29.7117193Z + [[ 1764832589 -lt 1764839789 ]] 2025-12-04T09:16:29.7118152Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:29.9390360Z { 2025-12-04T09:16:29.9390729Z "schemaVersion": 2, 2025-12-04T09:16:29.9391260Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T09:16:29.9391719Z "config": { 2025-12-04T09:16:29.9392082Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T09:16:29.9392512Z "size": 34863, 2025-12-04T09:16:29.9392938Z "digest": "sha256:4c2670599273a4ccf01817c9877ac311e1c84c6633d386cde9e253e0b3fe4d36" 2025-12-04T09:16:29.9393438Z }, 2025-12-04T09:16:29.9393646Z "layers": [ 2025-12-04T09:16:29.9393851Z { 2025-12-04T09:16:29.9394196Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9394647Z "size": 30447951, 2025-12-04T09:16:29.9395127Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T09:16:29.9395635Z }, 2025-12-04T09:16:29.9395839Z { 2025-12-04T09:16:29.9396185Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9396643Z "size": 1554, 2025-12-04T09:16:29.9397091Z "digest": "sha256:3a5718b5258e28918133dd74ea64bd506b2c15530a2fa8a72c45c5b0d8f7c7b0" 2025-12-04T09:16:29.9397596Z }, 2025-12-04T09:16:29.9397780Z { 2025-12-04T09:16:29.9398125Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9398572Z "size": 313276069, 2025-12-04T09:16:29.9399012Z "digest": "sha256:68ad27e1ba4bcd150faeb9708d0a711910f472edfef933b4445ce0247f39903d" 2025-12-04T09:16:29.9399523Z }, 2025-12-04T09:16:29.9399728Z { 2025-12-04T09:16:29.9400052Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9400485Z "size": 787, 2025-12-04T09:16:29.9400925Z "digest": "sha256:80061bf5dcbb9a4e38ac865a9cdc0a615bb294e3e6bfa357a6d515dcf3f54abc" 2025-12-04T09:16:29.9401443Z }, 2025-12-04T09:16:29.9401642Z { 2025-12-04T09:16:29.9402105Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9402565Z "size": 106, 2025-12-04T09:16:29.9402982Z "digest": "sha256:d76398f0d4a200bef308e3996c3ed9839c1b37237715b3ebb5ae749dedd9a0cf" 2025-12-04T09:16:29.9403488Z }, 2025-12-04T09:16:29.9403893Z { 2025-12-04T09:16:29.9404235Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9404678Z "size": 704, 2025-12-04T09:16:29.9405102Z "digest": "sha256:9d58e5257cefd43e8226153d71d28a865253662146aa9fce9a9f95af67b497fa" 2025-12-04T09:16:29.9405584Z }, 2025-12-04T09:16:29.9405783Z { 2025-12-04T09:16:29.9406128Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9406566Z "size": 1217, 2025-12-04T09:16:29.9406982Z "digest": "sha256:339c3135e2d933e793710040f02f034f4546962ce027e2b03baa1387f0a7f9c6" 2025-12-04T09:16:29.9407468Z }, 2025-12-04T09:16:29.9407678Z { 2025-12-04T09:16:29.9408004Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9408441Z "size": 485, 2025-12-04T09:16:29.9409332Z "digest": "sha256:6931c5f20e80e481e4f484471ff3a02878b4f8c54a9a5a4717213fdaa35c0bff" 2025-12-04T09:16:29.9409845Z }, 2025-12-04T09:16:29.9410037Z { 2025-12-04T09:16:29.9410383Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9410832Z "size": 110362482, 2025-12-04T09:16:29.9411270Z "digest": "sha256:4ecf2b717b9e98a9074b539d758d4611f72ebe0b33cda95a52c92205b1bacf20" 2025-12-04T09:16:29.9411787Z }, 2025-12-04T09:16:29.9411994Z { 2025-12-04T09:16:29.9412345Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9412780Z "size": 4961, 2025-12-04T09:16:29.9413220Z "digest": "sha256:b88143493ed8b13e327ce6a0651c2864a1876bcdd41de79a109d8ec2b91734bb" 2025-12-04T09:16:29.9413723Z }, 2025-12-04T09:16:29.9413908Z { 2025-12-04T09:16:29.9414467Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9414926Z "size": 1755, 2025-12-04T09:16:29.9415346Z "digest": "sha256:9748c5348f39a11c960c49fd9219fdea1c23e612ed11a02d71501424defc80f5" 2025-12-04T09:16:29.9415860Z }, 2025-12-04T09:16:29.9416066Z { 2025-12-04T09:16:29.9416393Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9416833Z "size": 724, 2025-12-04T09:16:29.9417262Z "digest": "sha256:8539cc3f8d8a138501ed0255c0cd7ec491bc0add9e4a62095f1c0f9533daa1cc" 2025-12-04T09:16:29.9417817Z }, 2025-12-04T09:16:29.9418060Z { 2025-12-04T09:16:29.9418406Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9418851Z "size": 543, 2025-12-04T09:16:29.9419278Z "digest": "sha256:970a599ded35999d5897b6e67868534ad5bc11f5f72ddbb83a51457f89b79f18" 2025-12-04T09:16:29.9419760Z }, 2025-12-04T09:16:29.9419957Z { 2025-12-04T09:16:29.9420302Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9420734Z "size": 3185204925, 2025-12-04T09:16:29.9421187Z "digest": "sha256:5e09dea1b4985542902bff0573a1f3cc577bb2bcb05f25687252583f0bab73dd" 2025-12-04T09:16:29.9421694Z }, 2025-12-04T09:16:29.9421880Z { 2025-12-04T09:16:29.9422213Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9422654Z "size": 32, 2025-12-04T09:16:29.9423077Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:16:29.9542582Z }, 2025-12-04T09:16:29.9542780Z { 2025-12-04T09:16:29.9543114Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9543548Z "size": 187, 2025-12-04T09:16:29.9543975Z "digest": "sha256:0883ea0533f459bb5acb99cd44b73df22ab2750e764a3f066700d0e4840fa407" 2025-12-04T09:16:29.9544478Z }, 2025-12-04T09:16:29.9544671Z { 2025-12-04T09:16:29.9545005Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9545447Z "size": 1370, 2025-12-04T09:16:29.9545875Z "digest": "sha256:63fdd143f389d88477b3e1246d5f7c008743547fe625fcd4d20d39ce0b486ce1" 2025-12-04T09:16:29.9546361Z }, 2025-12-04T09:16:29.9546566Z { 2025-12-04T09:16:29.9546901Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9547321Z "size": 32, 2025-12-04T09:16:29.9547758Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:16:29.9548262Z }, 2025-12-04T09:16:29.9548443Z { 2025-12-04T09:16:29.9548779Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9549222Z "size": 136, 2025-12-04T09:16:29.9549644Z "digest": "sha256:7617fa66daf836584fe0d439da821e7eac7271494e14d6781b51c300a6fe79bc" 2025-12-04T09:16:29.9550143Z }, 2025-12-04T09:16:29.9550342Z { 2025-12-04T09:16:29.9550687Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9551113Z "size": 528, 2025-12-04T09:16:29.9551542Z "digest": "sha256:8339a8e956d0d4e749ffeaded94746ae84a3547272336209675fdff7b06172b5" 2025-12-04T09:16:29.9552048Z }, 2025-12-04T09:16:29.9552242Z { 2025-12-04T09:16:29.9552594Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9553037Z "size": 32, 2025-12-04T09:16:29.9553454Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:16:29.9553964Z }, 2025-12-04T09:16:29.9554171Z { 2025-12-04T09:16:29.9554502Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9554952Z "size": 104, 2025-12-04T09:16:29.9555397Z "digest": "sha256:42a3794810c826b548faccc07dd5efc39749a04182bed16b2ee60a2b13608cfb" 2025-12-04T09:16:29.9555883Z }, 2025-12-04T09:16:29.9556080Z { 2025-12-04T09:16:29.9556420Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9557062Z "size": 436, 2025-12-04T09:16:29.9557490Z "digest": "sha256:07a663ff8df7feb8a4ef87dc8a3493f16cacb3e74120be593b1da8538c8e8244" 2025-12-04T09:16:29.9558007Z }, 2025-12-04T09:16:29.9558208Z { 2025-12-04T09:16:29.9558536Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9558975Z "size": 32, 2025-12-04T09:16:29.9559506Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:16:29.9560045Z }, 2025-12-04T09:16:29.9560257Z { 2025-12-04T09:16:29.9560598Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9561024Z "size": 109, 2025-12-04T09:16:29.9561573Z "digest": "sha256:5b9d4fd10da29fc645961c09e9901fbd8a9e414100404eb20d997dab789b8e9d" 2025-12-04T09:16:29.9562076Z }, 2025-12-04T09:16:29.9562264Z { 2025-12-04T09:16:29.9562607Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9563052Z "size": 1896, 2025-12-04T09:16:29.9563491Z "digest": "sha256:e87038dce9bc8e13bd64006847d30ddcaf77455256c4985fccfec83f82d4b925" 2025-12-04T09:16:29.9564057Z }, 2025-12-04T09:16:29.9564256Z { 2025-12-04T09:16:29.9564602Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9565033Z "size": 245591901, 2025-12-04T09:16:29.9565488Z "digest": "sha256:51bd8214b9e0ddaaf7d2f66ddcf9a00327383c196d690a8a5438d084870c3254" 2025-12-04T09:16:29.9565999Z }, 2025-12-04T09:16:29.9566192Z { 2025-12-04T09:16:29.9566528Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9566969Z "size": 106, 2025-12-04T09:16:29.9567376Z "digest": "sha256:5cf788429720c12c8df2475927563dcb04369f98fd586ba0f51e9f9de813b4f0" 2025-12-04T09:16:29.9567874Z }, 2025-12-04T09:16:29.9568066Z { 2025-12-04T09:16:29.9568406Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9568828Z "size": 165, 2025-12-04T09:16:29.9569260Z "digest": "sha256:0d8f60a2a38249b0b2f0345f8e81434755ee710b8f3f080ce708cb7dc9038eb3" 2025-12-04T09:16:29.9569756Z }, 2025-12-04T09:16:29.9569940Z { 2025-12-04T09:16:29.9570280Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9570723Z "size": 7943, 2025-12-04T09:16:29.9571157Z "digest": "sha256:56773452d568b3fda8d3e898b300a67fb5eb1beecbd430ec2428ade1c6e5ba40" 2025-12-04T09:16:29.9571656Z }, 2025-12-04T09:16:29.9571858Z { 2025-12-04T09:16:29.9572183Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9572622Z "size": 8072, 2025-12-04T09:16:29.9573062Z "digest": "sha256:ce7e07b9ef1f3b607e0b491c0a7cca98eb4089d271beddda09b062682e1cb5e7" 2025-12-04T09:16:29.9573559Z }, 2025-12-04T09:16:29.9573757Z { 2025-12-04T09:16:29.9574102Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9574541Z "size": 302, 2025-12-04T09:16:29.9574950Z "digest": "sha256:6f2a5d33b946e561219b9968769773e36ce1d28bee8c62eff652098b7825fc79" 2025-12-04T09:16:29.9575458Z }, 2025-12-04T09:16:29.9575654Z { 2025-12-04T09:16:29.9575977Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9576422Z "size": 13360696, 2025-12-04T09:16:29.9576865Z "digest": "sha256:e0614b64361bbae329d78a51b5841eb411816609909a936a288b115bff2c176e" 2025-12-04T09:16:29.9577350Z }, 2025-12-04T09:16:29.9577554Z { 2025-12-04T09:16:29.9577889Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9578312Z "size": 108, 2025-12-04T09:16:29.9578734Z "digest": "sha256:b751b498b470db1d613227f32d4536d12012e07fe003e7a0133da2906fcf4d90" 2025-12-04T09:16:29.9579228Z }, 2025-12-04T09:16:29.9579411Z { 2025-12-04T09:16:29.9579766Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9580204Z "size": 54145699, 2025-12-04T09:16:29.9580647Z "digest": "sha256:665341d00b246408753c5658fdf0fc11b3ba1d3ec923c98865bc39cb8f8d78e3" 2025-12-04T09:16:29.9581262Z }, 2025-12-04T09:16:29.9581459Z { 2025-12-04T09:16:29.9581795Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:16:29.9582224Z "size": 32, 2025-12-04T09:16:29.9582657Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:16:29.9583166Z } 2025-12-04T09:16:29.9583351Z ] 2025-12-04T09:16:29.9583555Z } 2025-12-04T09:16:29.9583810Z + exit 0 2025-12-04T09:16:29.9618139Z ##[group]Run set -eux 2025-12-04T09:16:29.9618460Z set -eux 2025-12-04T09:16:29.9618902Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T09:16:29.9620348Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-12-04T09:16:29.9629925Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:29.9630361Z env: 2025-12-04T09:16:29.9630575Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:29.9630864Z ##[endgroup] 2025-12-04T09:16:29.9669961Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T09:16:29.9670976Z + jq --raw-output .SecretString 2025-12-04T09:16:29.9672713Z + jq -r .docker_hub_readonly_token 2025-12-04T09:16:29.9674032Z + docker login --username pytorchbot --password-stdin 2025-12-04T09:16:30.6182330Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:16:30.6183013Z Configure a credential helper to remove this warning. See 2025-12-04T09:16:30.6183696Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:16:30.6184162Z 2025-12-04T09:16:30.6184306Z Login Succeeded 2025-12-04T09:16:30.6270103Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:16:30.6270502Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:16:30.6270947Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T09:16:30.6277183Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:30.6277586Z env: 2025-12-04T09:16:30.6277814Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:30.6278711Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:30.6279620Z ##[endgroup] 2025-12-04T09:16:30.6309261Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:30.6359185Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T09:16:30.6359635Z with: 2025-12-04T09:16:30.6360467Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:30.6361493Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:16:30.6361918Z env: 2025-12-04T09:16:30.6362129Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:30.6362405Z ##[endgroup] 2025-12-04T09:16:30.6377392Z ##[group]Run set -x 2025-12-04T09:16:30.6377676Z set -x 2025-12-04T09:16:30.6377899Z set +e 2025-12-04T09:16:30.6378128Z  2025-12-04T09:16:30.6378348Z login() { 2025-12-04T09:16:30.6378839Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:16:30.6379395Z } 2025-12-04T09:16:30.6379606Z  2025-12-04T09:16:30.6379861Z retry () { 2025-12-04T09:16:30.6380132Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:16:30.6380460Z } 2025-12-04T09:16:30.6380668Z  2025-12-04T09:16:30.6380911Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:16:30.6381221Z  2025-12-04T09:16:30.6381742Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T09:16:30.6382592Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T09:16:30.6382972Z  2025-12-04T09:16:30.6383186Z set -e 2025-12-04T09:16:30.6383546Z # ignore output since only exit code is used for conditional 2025-12-04T09:16:30.6384073Z # only pull docker image if it's not available locally 2025-12-04T09:16:30.6384640Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T09:16:30.6385183Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T09:16:30.6385525Z fi 2025-12-04T09:16:30.6391245Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:30.6391643Z env: 2025-12-04T09:16:30.6391868Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:30.6392735Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:30.6393767Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:16:30.6394176Z ##[endgroup] 2025-12-04T09:16:30.6419122Z + set +e 2025-12-04T09:16:30.6419784Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:16:30.6420263Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:16:30.6423125Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:16:30.6424345Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:16:31.2309308Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:16:31.2310259Z Configure a credential helper to remove this warning. See 2025-12-04T09:16:31.2311197Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:16:31.2311654Z 2025-12-04T09:16:31.2311858Z Login Succeeded 2025-12-04T09:16:31.2330236Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:31.2331411Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T09:16:31.4264958Z + IMAGE_SIZE=12735.252056121826 2025-12-04T09:16:31.4266008Z + echo 'Compressed size of image in MB: 12735.252056121826' 2025-12-04T09:16:31.4266548Z + set -e 2025-12-04T09:16:31.4266936Z Compressed size of image in MB: 12735.252056121826 2025-12-04T09:16:31.4268914Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:31.4443057Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:31.4444752Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:31.6884637Z pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T09:16:31.6886630Z 63e5bc7682b8: Pulling fs layer 2025-12-04T09:16:31.6887193Z 3a5718b5258e: Pulling fs layer 2025-12-04T09:16:31.6887656Z 68ad27e1ba4b: Pulling fs layer 2025-12-04T09:16:31.6888108Z 80061bf5dcbb: Pulling fs layer 2025-12-04T09:16:31.6888534Z d76398f0d4a2: Pulling fs layer 2025-12-04T09:16:31.6889014Z 9d58e5257cef: Pulling fs layer 2025-12-04T09:16:31.6889624Z 339c3135e2d9: Pulling fs layer 2025-12-04T09:16:31.6889924Z 6931c5f20e80: Pulling fs layer 2025-12-04T09:16:31.6890222Z 4ecf2b717b9e: Pulling fs layer 2025-12-04T09:16:31.6890583Z b88143493ed8: Pulling fs layer 2025-12-04T09:16:31.6891029Z 9748c5348f39: Pulling fs layer 2025-12-04T09:16:31.6891470Z 8539cc3f8d8a: Pulling fs layer 2025-12-04T09:16:31.6891797Z d76398f0d4a2: Waiting 2025-12-04T09:16:31.6892492Z 970a599ded35: Pulling fs layer 2025-12-04T09:16:31.6892791Z 5e09dea1b498: Pulling fs layer 2025-12-04T09:16:31.6893075Z 4f4fb700ef54: Pulling fs layer 2025-12-04T09:16:31.6893456Z 32fbb88555c4: Pulling fs layer 2025-12-04T09:16:31.6893811Z 6931c5f20e80: Waiting 2025-12-04T09:16:31.6894144Z 39625b7d1b93: Pulling fs layer 2025-12-04T09:16:31.6894607Z 80061bf5dcbb: Waiting 2025-12-04T09:16:31.6894857Z 9d58e5257cef: Waiting 2025-12-04T09:16:31.6895091Z 339c3135e2d9: Waiting 2025-12-04T09:16:31.6895345Z 760004b6b0ba: Pulling fs layer 2025-12-04T09:16:31.6895633Z 4ecf2b717b9e: Waiting 2025-12-04T09:16:31.6895998Z b88143493ed8: Waiting 2025-12-04T09:16:31.6896343Z 2401a405ca6a: Pulling fs layer 2025-12-04T09:16:31.6896688Z 9748c5348f39: Waiting 2025-12-04T09:16:31.6896970Z 0f4872219ee6: Pulling fs layer 2025-12-04T09:16:31.6897252Z ae06ff2d542a: Pulling fs layer 2025-12-04T09:16:31.6897550Z 7cbd98b45db7: Pulling fs layer 2025-12-04T09:16:31.6897832Z 39625b7d1b93: Waiting 2025-12-04T09:16:31.6898072Z a26ff2361220: Pulling fs layer 2025-12-04T09:16:31.6898362Z 970a599ded35: Waiting 2025-12-04T09:16:31.6898620Z daf94b7dcf5a: Pulling fs layer 2025-12-04T09:16:31.6898901Z ae06ff2d542a: Waiting 2025-12-04T09:16:31.6899134Z 2401a405ca6a: Waiting 2025-12-04T09:16:31.6899379Z 7cbd98b45db7: Waiting 2025-12-04T09:16:31.6899635Z 3c4fd2d54638: Pulling fs layer 2025-12-04T09:16:31.6899904Z a26ff2361220: Waiting 2025-12-04T09:16:31.6900202Z eb1deb0b4825: Pulling fs layer 2025-12-04T09:16:31.6900487Z 760004b6b0ba: Waiting 2025-12-04T09:16:31.6900725Z daf94b7dcf5a: Waiting 2025-12-04T09:16:31.6901052Z 3c4fd2d54638: Waiting 2025-12-04T09:16:31.6901324Z 8d8fda9987ff: Pulling fs layer 2025-12-04T09:16:31.6901674Z 8539cc3f8d8a: Waiting 2025-12-04T09:16:31.6901936Z ce919d4bf5ee: Pulling fs layer 2025-12-04T09:16:31.6902220Z 0f4872219ee6: Waiting 2025-12-04T09:16:31.6902452Z eb1deb0b4825: Waiting 2025-12-04T09:16:31.6902711Z ad0c5c675f84: Pulling fs layer 2025-12-04T09:16:31.6902997Z 8d8fda9987ff: Waiting 2025-12-04T09:16:31.6903231Z ce919d4bf5ee: Waiting 2025-12-04T09:16:31.6903495Z 1d2876cb221a: Pulling fs layer 2025-12-04T09:16:31.6903786Z d6630aa6f375: Pulling fs layer 2025-12-04T09:16:31.6904055Z ad0c5c675f84: Waiting 2025-12-04T09:16:31.6904297Z 1d2876cb221a: Waiting 2025-12-04T09:16:31.6904540Z d6630aa6f375: Waiting 2025-12-04T09:16:31.6904797Z 3b7e925cd02b: Pulling fs layer 2025-12-04T09:16:31.6905080Z fa273daa0037: Pulling fs layer 2025-12-04T09:16:31.6905375Z 5b8f1bada8cb: Pulling fs layer 2025-12-04T09:16:31.6905673Z 3f721a25bd20: Pulling fs layer 2025-12-04T09:16:31.6905940Z 3b7e925cd02b: Waiting 2025-12-04T09:16:31.6906191Z fa273daa0037: Waiting 2025-12-04T09:16:31.6906685Z d3573d61c28e: Pulling fs layer 2025-12-04T09:16:31.6906969Z 5b8f1bada8cb: Waiting 2025-12-04T09:16:31.6907217Z d3573d61c28e: Waiting 2025-12-04T09:16:31.6907474Z f9b32f08c490: Pulling fs layer 2025-12-04T09:16:31.6907740Z 3f721a25bd20: Waiting 2025-12-04T09:16:31.6907993Z 3a0206399d60: Pulling fs layer 2025-12-04T09:16:31.6908275Z f9b32f08c490: Waiting 2025-12-04T09:16:31.6908527Z 386f322edd1c: Pulling fs layer 2025-12-04T09:16:31.6908809Z 386f322edd1c: Waiting 2025-12-04T09:16:31.6909080Z 3a0206399d60: Waiting 2025-12-04T09:16:31.6909337Z 7e9fd57c1c30: Pulling fs layer 2025-12-04T09:16:31.6909619Z 72a05bd502a9: Pulling fs layer 2025-12-04T09:16:31.6909901Z 7e9fd57c1c30: Waiting 2025-12-04T09:16:31.6910148Z 5e09dea1b498: Waiting 2025-12-04T09:16:31.6910396Z b76cce50d862: Pulling fs layer 2025-12-04T09:16:31.6910677Z 72a05bd502a9: Waiting 2025-12-04T09:16:31.6910933Z 9d54d5403b2f: Pulling fs layer 2025-12-04T09:16:31.6911202Z b76cce50d862: Waiting 2025-12-04T09:16:31.6911465Z c94cfaf301ba: Pulling fs layer 2025-12-04T09:16:31.6911760Z 78269d211f75: Pulling fs layer 2025-12-04T09:16:31.6912037Z 46d7ca27c4a3: Pulling fs layer 2025-12-04T09:16:31.6912333Z 9a5fbb21a05b: Pulling fs layer 2025-12-04T09:16:31.6912613Z 9d54d5403b2f: Waiting 2025-12-04T09:16:31.6912845Z 78269d211f75: Waiting 2025-12-04T09:16:31.6913105Z a9e30ff5f552: Pulling fs layer 2025-12-04T09:16:31.6913470Z 46d7ca27c4a3: Waiting 2025-12-04T09:16:31.6913717Z 9a5fbb21a05b: Waiting 2025-12-04T09:16:31.6913954Z c94cfaf301ba: Waiting 2025-12-04T09:16:31.6914218Z 6d55d16d0cdf: Pulling fs layer 2025-12-04T09:16:31.6914522Z 9b5aac9c786e: Pulling fs layer 2025-12-04T09:16:31.6914794Z a9e30ff5f552: Waiting 2025-12-04T09:16:31.6915041Z 9b5aac9c786e: Waiting 2025-12-04T09:16:31.6915297Z 4660758215d2: Pulling fs layer 2025-12-04T09:16:31.6915565Z 6d55d16d0cdf: Waiting 2025-12-04T09:16:31.6915819Z 7c5834cbf748: Pulling fs layer 2025-12-04T09:16:31.6916094Z 4660758215d2: Waiting 2025-12-04T09:16:31.6916336Z a33cee02f40c: Pulling fs layer 2025-12-04T09:16:31.6916632Z 0883ea0533f4: Pulling fs layer 2025-12-04T09:16:31.6916926Z 63fdd143f389: Pulling fs layer 2025-12-04T09:16:31.6917194Z 7c5834cbf748: Waiting 2025-12-04T09:16:31.6917498Z a33cee02f40c: Waiting 2025-12-04T09:16:31.6917744Z 63fdd143f389: Waiting 2025-12-04T09:16:31.6917975Z 0883ea0533f4: Waiting 2025-12-04T09:16:31.6918228Z 7617fa66daf8: Pulling fs layer 2025-12-04T09:16:31.6918522Z 8339a8e956d0: Pulling fs layer 2025-12-04T09:16:31.6918797Z 42a3794810c8: Pulling fs layer 2025-12-04T09:16:31.6919071Z 8339a8e956d0: Waiting 2025-12-04T09:16:31.6919327Z 07a663ff8df7: Pulling fs layer 2025-12-04T09:16:31.6919601Z 42a3794810c8: Waiting 2025-12-04T09:16:31.6919830Z 7617fa66daf8: Waiting 2025-12-04T09:16:31.6920085Z 5b9d4fd10da2: Pulling fs layer 2025-12-04T09:16:31.6920366Z 07a663ff8df7: Waiting 2025-12-04T09:16:31.6920609Z e87038dce9bc: Pulling fs layer 2025-12-04T09:16:31.6920899Z 51bd8214b9e0: Pulling fs layer 2025-12-04T09:16:31.6921178Z 5b9d4fd10da2: Waiting 2025-12-04T09:16:31.6921427Z 5cf788429720: Pulling fs layer 2025-12-04T09:16:31.6921705Z e87038dce9bc: Waiting 2025-12-04T09:16:31.6921952Z 51bd8214b9e0: Waiting 2025-12-04T09:16:31.6922305Z 0d8f60a2a382: Pulling fs layer 2025-12-04T09:16:31.6922766Z 56773452d568: Pulling fs layer 2025-12-04T09:16:31.6923242Z ce7e07b9ef1f: Pulling fs layer 2025-12-04T09:16:31.6923795Z 6f2a5d33b946: Pulling fs layer 2025-12-04T09:16:31.6924290Z e0614b64361b: Pulling fs layer 2025-12-04T09:16:31.6924754Z 5cf788429720: Waiting 2025-12-04T09:16:31.6925149Z 0d8f60a2a382: Waiting 2025-12-04T09:16:31.6925535Z 56773452d568: Waiting 2025-12-04T09:16:31.6925944Z b751b498b470: Pulling fs layer 2025-12-04T09:16:31.6926326Z e0614b64361b: Waiting 2025-12-04T09:16:31.6926693Z 665341d00b24: Pulling fs layer 2025-12-04T09:16:31.6926971Z b751b498b470: Waiting 2025-12-04T09:16:31.6927222Z ce7e07b9ef1f: Waiting 2025-12-04T09:16:31.6927454Z 665341d00b24: Waiting 2025-12-04T09:16:31.6927700Z 6f2a5d33b946: Waiting 2025-12-04T09:16:31.7649287Z 3a5718b5258e: Download complete 2025-12-04T09:16:31.8420325Z 80061bf5dcbb: Verifying Checksum 2025-12-04T09:16:31.8421019Z 80061bf5dcbb: Download complete 2025-12-04T09:16:31.9306790Z d76398f0d4a2: Download complete 2025-12-04T09:16:31.9971368Z 9d58e5257cef: Verifying Checksum 2025-12-04T09:16:31.9972032Z 9d58e5257cef: Download complete 2025-12-04T09:16:32.0403802Z 63e5bc7682b8: Download complete 2025-12-04T09:16:32.0828234Z 339c3135e2d9: Verifying Checksum 2025-12-04T09:16:32.0828639Z 339c3135e2d9: Download complete 2025-12-04T09:16:32.1321324Z 6931c5f20e80: Verifying Checksum 2025-12-04T09:16:32.1321760Z 6931c5f20e80: Download complete 2025-12-04T09:16:32.2246153Z b88143493ed8: Verifying Checksum 2025-12-04T09:16:32.2246537Z b88143493ed8: Download complete 2025-12-04T09:16:32.3745415Z 9748c5348f39: Verifying Checksum 2025-12-04T09:16:32.3745966Z 9748c5348f39: Download complete 2025-12-04T09:16:32.4716533Z 8539cc3f8d8a: Verifying Checksum 2025-12-04T09:16:32.4717202Z 8539cc3f8d8a: Download complete 2025-12-04T09:16:32.5369955Z 970a599ded35: Verifying Checksum 2025-12-04T09:16:32.5370578Z 970a599ded35: Download complete 2025-12-04T09:16:33.0180688Z 63e5bc7682b8: Pull complete 2025-12-04T09:16:33.0279909Z 3a5718b5258e: Pull complete 2025-12-04T09:16:33.3193940Z 4ecf2b717b9e: Download complete 2025-12-04T09:16:33.3253226Z 4f4fb700ef54: Verifying Checksum 2025-12-04T09:16:33.3253681Z 4f4fb700ef54: Download complete 2025-12-04T09:16:33.4250872Z 32fbb88555c4: Download complete 2025-12-04T09:16:33.5105223Z 39625b7d1b93: Verifying Checksum 2025-12-04T09:16:33.5105578Z 39625b7d1b93: Download complete 2025-12-04T09:16:33.5855561Z 760004b6b0ba: Download complete 2025-12-04T09:16:33.6919181Z 2401a405ca6a: Verifying Checksum 2025-12-04T09:16:33.6919674Z 2401a405ca6a: Download complete 2025-12-04T09:16:33.7686112Z 0f4872219ee6: Verifying Checksum 2025-12-04T09:16:33.7686510Z 0f4872219ee6: Download complete 2025-12-04T09:16:33.8598342Z ae06ff2d542a: Verifying Checksum 2025-12-04T09:16:33.8598753Z ae06ff2d542a: Download complete 2025-12-04T09:16:33.9479539Z 7cbd98b45db7: Verifying Checksum 2025-12-04T09:16:33.9479921Z 7cbd98b45db7: Download complete 2025-12-04T09:16:34.0215835Z a26ff2361220: Verifying Checksum 2025-12-04T09:16:34.0216337Z a26ff2361220: Download complete 2025-12-04T09:16:35.1567563Z 68ad27e1ba4b: Verifying Checksum 2025-12-04T09:16:35.1567985Z 68ad27e1ba4b: Download complete 2025-12-04T09:16:35.2430025Z 3c4fd2d54638: Download complete 2025-12-04T09:16:35.6033259Z eb1deb0b4825: Verifying Checksum 2025-12-04T09:16:35.6033659Z eb1deb0b4825: Download complete 2025-12-04T09:16:35.6834453Z 8d8fda9987ff: Verifying Checksum 2025-12-04T09:16:35.6835183Z 8d8fda9987ff: Download complete 2025-12-04T09:16:35.7610998Z ce919d4bf5ee: Verifying Checksum 2025-12-04T09:16:35.7611505Z ce919d4bf5ee: Download complete 2025-12-04T09:16:40.4495380Z ad0c5c675f84: Verifying Checksum 2025-12-04T09:16:40.4495806Z ad0c5c675f84: Download complete 2025-12-04T09:16:40.5108033Z 1d2876cb221a: Download complete 2025-12-04T09:16:40.5961989Z d6630aa6f375: Verifying Checksum 2025-12-04T09:16:40.5962416Z d6630aa6f375: Download complete 2025-12-04T09:16:40.6734221Z 3b7e925cd02b: Download complete 2025-12-04T09:16:40.7613263Z fa273daa0037: Verifying Checksum 2025-12-04T09:16:40.7613722Z fa273daa0037: Download complete 2025-12-04T09:16:41.0904101Z 5b8f1bada8cb: Verifying Checksum 2025-12-04T09:16:41.0904636Z 5b8f1bada8cb: Download complete 2025-12-04T09:16:41.1922074Z 3f721a25bd20: Verifying Checksum 2025-12-04T09:16:41.1923323Z 3f721a25bd20: Download complete 2025-12-04T09:16:41.2811334Z d3573d61c28e: Verifying Checksum 2025-12-04T09:16:41.2812066Z d3573d61c28e: Download complete 2025-12-04T09:16:41.3638648Z f9b32f08c490: Verifying Checksum 2025-12-04T09:16:41.3639107Z f9b32f08c490: Download complete 2025-12-04T09:16:41.4420079Z 3a0206399d60: Verifying Checksum 2025-12-04T09:16:41.4420811Z 3a0206399d60: Download complete 2025-12-04T09:16:41.5234905Z 386f322edd1c: Verifying Checksum 2025-12-04T09:16:41.5235554Z 386f322edd1c: Download complete 2025-12-04T09:16:41.5889302Z 7e9fd57c1c30: Download complete 2025-12-04T09:16:41.6756732Z 72a05bd502a9: Verifying Checksum 2025-12-04T09:16:41.6757448Z 72a05bd502a9: Download complete 2025-12-04T09:16:41.7468156Z b76cce50d862: Verifying Checksum 2025-12-04T09:16:41.7469386Z b76cce50d862: Download complete 2025-12-04T09:16:44.0083075Z 68ad27e1ba4b: Pull complete 2025-12-04T09:16:44.1237527Z 80061bf5dcbb: Pull complete 2025-12-04T09:16:44.2276332Z d76398f0d4a2: Pull complete 2025-12-04T09:16:44.3472273Z 9d58e5257cef: Pull complete 2025-12-04T09:16:44.4898476Z 339c3135e2d9: Pull complete 2025-12-04T09:16:44.6445350Z 6931c5f20e80: Pull complete 2025-12-04T09:16:44.9258209Z 9d54d5403b2f: Verifying Checksum 2025-12-04T09:16:44.9258675Z 9d54d5403b2f: Download complete 2025-12-04T09:16:47.3369766Z 4ecf2b717b9e: Pull complete 2025-12-04T09:16:47.4610519Z b88143493ed8: Pull complete 2025-12-04T09:16:47.6018581Z 9748c5348f39: Pull complete 2025-12-04T09:16:47.7334100Z 8539cc3f8d8a: Pull complete 2025-12-04T09:16:47.8675549Z 970a599ded35: Pull complete 2025-12-04T09:17:21.2544645Z 5e09dea1b498: Verifying Checksum 2025-12-04T09:17:21.2545432Z 5e09dea1b498: Download complete 2025-12-04T09:17:21.3259488Z 78269d211f75: Verifying Checksum 2025-12-04T09:17:21.3259972Z 78269d211f75: Download complete 2025-12-04T09:17:21.3976153Z 46d7ca27c4a3: Download complete 2025-12-04T09:17:21.4651167Z 9a5fbb21a05b: Verifying Checksum 2025-12-04T09:17:21.4651657Z 9a5fbb21a05b: Download complete 2025-12-04T09:17:21.5635678Z a9e30ff5f552: Verifying Checksum 2025-12-04T09:17:21.5636183Z a9e30ff5f552: Download complete 2025-12-04T09:17:21.6779510Z 6d55d16d0cdf: Download complete 2025-12-04T09:17:21.7408999Z 9b5aac9c786e: Verifying Checksum 2025-12-04T09:17:21.7409528Z 9b5aac9c786e: Download complete 2025-12-04T09:17:21.8244883Z 4660758215d2: Verifying Checksum 2025-12-04T09:17:21.8245690Z 4660758215d2: Download complete 2025-12-04T09:17:21.9076992Z 7c5834cbf748: Verifying Checksum 2025-12-04T09:17:21.9077894Z 7c5834cbf748: Download complete 2025-12-04T09:17:21.9923049Z a33cee02f40c: Verifying Checksum 2025-12-04T09:17:21.9923584Z a33cee02f40c: Download complete 2025-12-04T09:17:22.0769041Z 0883ea0533f4: Download complete 2025-12-04T09:17:22.1634016Z 63fdd143f389: Verifying Checksum 2025-12-04T09:17:22.1635396Z 63fdd143f389: Download complete 2025-12-04T09:17:22.2412774Z 7617fa66daf8: Verifying Checksum 2025-12-04T09:17:22.2413220Z 7617fa66daf8: Download complete 2025-12-04T09:17:22.3384507Z 8339a8e956d0: Verifying Checksum 2025-12-04T09:17:22.3385007Z 8339a8e956d0: Download complete 2025-12-04T09:17:22.4269640Z 42a3794810c8: Verifying Checksum 2025-12-04T09:17:22.4270389Z 42a3794810c8: Download complete 2025-12-04T09:17:22.5072413Z 07a663ff8df7: Verifying Checksum 2025-12-04T09:17:22.5073136Z 07a663ff8df7: Download complete 2025-12-04T09:17:22.5903607Z 5b9d4fd10da2: Verifying Checksum 2025-12-04T09:17:22.5904189Z 5b9d4fd10da2: Download complete 2025-12-04T09:17:22.6577694Z e87038dce9bc: Verifying Checksum 2025-12-04T09:17:22.6579781Z e87038dce9bc: Download complete 2025-12-04T09:17:29.8486368Z 51bd8214b9e0: Verifying Checksum 2025-12-04T09:17:29.8486843Z 51bd8214b9e0: Download complete 2025-12-04T09:17:29.9360773Z 5cf788429720: Download complete 2025-12-04T09:17:30.0602044Z 0d8f60a2a382: Download complete 2025-12-04T09:17:30.1471957Z 56773452d568: Verifying Checksum 2025-12-04T09:17:30.1473074Z 56773452d568: Download complete 2025-12-04T09:17:30.2495359Z ce7e07b9ef1f: Verifying Checksum 2025-12-04T09:17:30.2496374Z ce7e07b9ef1f: Download complete 2025-12-04T09:17:30.3430310Z 6f2a5d33b946: Verifying Checksum 2025-12-04T09:17:30.3430903Z 6f2a5d33b946: Download complete 2025-12-04T09:17:30.7282723Z e0614b64361b: Download complete 2025-12-04T09:17:30.8205934Z b751b498b470: Verifying Checksum 2025-12-04T09:17:32.4570545Z b751b498b470: Download complete 2025-12-04T09:17:32.4571441Z 665341d00b24: Verifying Checksum 2025-12-04T09:17:32.4572054Z 665341d00b24: Download complete 2025-12-04T09:17:44.6858804Z c94cfaf301ba: Verifying Checksum 2025-12-04T09:17:44.6859314Z c94cfaf301ba: Download complete 2025-12-04T09:17:57.6357367Z daf94b7dcf5a: Verifying Checksum 2025-12-04T09:17:57.6358193Z daf94b7dcf5a: Download complete 2025-12-04T09:18:52.2661973Z 5e09dea1b498: Pull complete 2025-12-04T09:18:52.4277467Z 4f4fb700ef54: Pull complete 2025-12-04T09:18:52.5168290Z 32fbb88555c4: Pull complete 2025-12-04T09:18:52.6008975Z 39625b7d1b93: Pull complete 2025-12-04T09:18:52.6306418Z 760004b6b0ba: Pull complete 2025-12-04T09:18:52.7065264Z 2401a405ca6a: Pull complete 2025-12-04T09:18:52.8265120Z 0f4872219ee6: Pull complete 2025-12-04T09:18:52.8787834Z ae06ff2d542a: Pull complete 2025-12-04T09:18:52.9487509Z 7cbd98b45db7: Pull 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8339a8e956d0: Pull complete 2025-12-04T09:21:52.3435800Z 42a3794810c8: Pull complete 2025-12-04T09:21:52.4146969Z 07a663ff8df7: Pull complete 2025-12-04T09:21:52.4787370Z 5b9d4fd10da2: Pull complete 2025-12-04T09:21:52.5081892Z e87038dce9bc: Pull complete 2025-12-04T09:22:00.0297297Z 51bd8214b9e0: Pull complete 2025-12-04T09:22:00.0883965Z 5cf788429720: Pull complete 2025-12-04T09:22:00.1976581Z 0d8f60a2a382: Pull complete 2025-12-04T09:22:00.2853542Z 56773452d568: Pull complete 2025-12-04T09:22:00.3214704Z ce7e07b9ef1f: Pull complete 2025-12-04T09:22:00.3546077Z 6f2a5d33b946: Pull complete 2025-12-04T09:22:01.5291919Z e0614b64361b: Pull complete 2025-12-04T09:22:01.5578250Z b751b498b470: Pull complete 2025-12-04T09:22:03.5214989Z 665341d00b24: Pull complete 2025-12-04T09:22:03.6757245Z Digest: sha256:d69b2cd9ebb8a0bf2d9eb1e4955b13b1e68dc1e57f400c237179d0d16df9c770 2025-12-04T09:22:03.7057993Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:03.7281081Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:03.7367778Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:22:03.7368955Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:22:03.7378675Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:03.7379091Z env: 2025-12-04T09:22:03.7379310Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:03.7379587Z ##[endgroup] 2025-12-04T09:22:03.7584571Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T09:22:03.7585036Z with: 2025-12-04T09:22:03.7585270Z driver-version: 580.82.07 2025-12-04T09:22:03.7585531Z env: 2025-12-04T09:22:03.7585737Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:03.7586012Z ##[endgroup] 2025-12-04T09:22:03.7697445Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:22:03.7698454Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:22:03.7705276Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:03.7705681Z env: 2025-12-04T09:22:03.7705916Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:03.7706180Z ##[endgroup] 2025-12-04T09:22:03.7761950Z ##[group]Run set -euo pipefail 2025-12-04T09:22:03.7762312Z set -euo pipefail 2025-12-04T09:22:03.7762653Z  2025-12-04T09:22:03.7762872Z has_gpu=false 2025-12-04T09:22:03.7763368Z devices="" 2025-12-04T09:22:03.7763623Z  2025-12-04T09:22:03.7764014Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T09:22:03.7764500Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:22:03.7764918Z  has_gpu=true 2025-12-04T09:22:03.7765236Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:22:03.7765565Z  fi 2025-12-04T09:22:03.7765790Z fi 2025-12-04T09:22:03.7766006Z  2025-12-04T09:22:03.7766225Z if [ "$has_gpu" = false ]; then 2025-12-04T09:22:03.7766638Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:22:03.7767047Z  has_gpu=true 2025-12-04T09:22:03.7767342Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:22:03.7767674Z  fi 2025-12-04T09:22:03.7767895Z fi 2025-12-04T09:22:03.7768104Z  2025-12-04T09:22:03.7768430Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T09:22:03.7768980Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:22:03.7769421Z  has_gpu=true 2025-12-04T09:22:03.7769718Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:22:03.7770056Z  fi 2025-12-04T09:22:03.7770274Z fi 2025-12-04T09:22:03.7770473Z  2025-12-04T09:22:03.7770790Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T09:22:03.7771363Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T09:22:03.7777668Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:03.7778067Z env: 2025-12-04T09:22:03.7778292Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:03.7778554Z ##[endgroup] 2025-12-04T09:22:03.9042624Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:22:03.9043068Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:22:03.9043490Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T09:22:03.9044143Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T09:22:03.9044639Z else 2025-12-04T09:22:03.9044923Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T09:22:03.9045291Z fi 2025-12-04T09:22:03.9051708Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:03.9052106Z env: 2025-12-04T09:22:03.9052341Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:03.9052623Z HAS_NVIDIA: false 2025-12-04T09:22:03.9052856Z ##[endgroup] 2025-12-04T09:22:03.9196775Z Prepare all required actions 2025-12-04T09:22:03.9272686Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T09:22:03.9273069Z with: 2025-12-04T09:22:03.9274075Z github-token: *** 2025-12-04T09:22:03.9274313Z env: 2025-12-04T09:22:03.9274541Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:03.9274825Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:03.9275106Z ##[endgroup] 2025-12-04T09:22:03.9314628Z ##[group]Run set -eux 2025-12-04T09:22:03.9314927Z set -eux 2025-12-04T09:22:03.9315421Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:22:03.9323083Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:03.9323499Z env: 2025-12-04T09:22:03.9323853Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:03.9324131Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:03.9324680Z GITHUB_TOKEN: *** 2025-12-04T09:22:03.9324936Z ##[endgroup] 2025-12-04T09:22:03.9359836Z + python3 .github/scripts/get_workflow_job_id.py 19922826259 i-0092470dcfe31fb38 2025-12-04T09:22:06.0191985Z Setting output job-id=57117865638 2025-12-04T09:22:06.0192777Z Setting output job-name=linux-jammy-cuda13.0-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:22:06.0374407Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:22:06.0375388Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:22:06.0376406Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T09:22:06.0377301Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:22:06.0383801Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:06.0384182Z env: 2025-12-04T09:22:06.0384398Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:06.0384672Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:06.0384941Z JOB_ID: 57117865638 2025-12-04T09:22:06.0385483Z JOB_NAME: linux-jammy-cuda13.0-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:22:06.0386077Z WORKFLOW_NAME: periodic 2025-12-04T09:22:06.0386430Z WORKFLOW_RUN_ID: 19922826259 2025-12-04T09:22:06.0386712Z MONITOR_LOG_INTERVAL: 5 2025-12-04T09:22:06.0387010Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T09:22:06.0387318Z ##[endgroup] 2025-12-04T09:22:07.9051891Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:22:08.4790189Z Collecting psutil==5.9.8 2025-12-04T09:22:08.4955827Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-12-04T09:22:08.6099833Z Collecting dataclasses_json==0.6.7 2025-12-04T09:22:08.6134903Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T09:22:08.6806057Z Collecting nvidia-ml-py==11.525.84 2025-12-04T09:22:08.6839679Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T09:22:08.8460188Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T09:22:08.8504340Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T09:22:08.9185152Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T09:22:08.9218935Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T09:22:09.0203545Z Collecting packaging>=17.0 2025-12-04T09:22:09.0238801Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T09:22:09.0792604Z Collecting mypy-extensions>=0.3.0 2025-12-04T09:22:09.0826717Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T09:22:09.1800231Z Collecting typing-extensions>=3.7.4 2025-12-04T09:22:09.1838304Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T09:22:09.4072945Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T09:22:10.0666362Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-12-04T09:22:10.3502807Z Prepare all required actions 2025-12-04T09:22:10.3503268Z Getting action download info 2025-12-04T09:22:10.5368330Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:22:11.2196441Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T09:22:12.5665153Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T09:22:12.5665534Z with: 2025-12-04T09:22:12.5665789Z name: linux-jammy-cuda13.0-py3.10-gcc11 2025-12-04T09:22:12.5666137Z s3-bucket: gha-artifacts 2025-12-04T09:22:12.5666396Z env: 2025-12-04T09:22:12.5666614Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:12.5666894Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:12.5667137Z ##[endgroup] 2025-12-04T09:22:12.5764264Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:22:12.5764634Z with: 2025-12-04T09:22:12.5764886Z name: linux-jammy-cuda13.0-py3.10-gcc11 2025-12-04T09:22:12.5765290Z s3-bucket: gha-artifacts 2025-12-04T09:22:12.5765571Z region: us-east-1 2025-12-04T09:22:12.5765794Z env: 2025-12-04T09:22:12.5766011Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:12.5766480Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:12.5766722Z ##[endgroup] 2025-12-04T09:22:13.3952891Z (node:44205) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:22:13.3953460Z 2025-12-04T09:22:13.3953678Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:22:13.3954257Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:22:13.3954866Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:22:14.6114317Z Found 1 objects with prefix pytorch/pytorch/19922826259/linux-jammy-cuda13.0-py3.10-gcc11/ 2025-12-04T09:22:14.6115152Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:22:20.8198224Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:22:20.8204296Z Artifact download has finished successfully 2025-12-04T09:22:20.8404997Z ##[group]Run unzip -o artifacts.zip 2025-12-04T09:22:20.8405364Z unzip -o artifacts.zip 2025-12-04T09:22:20.8412043Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:20.8412455Z env: 2025-12-04T09:22:20.8412691Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:20.8412963Z 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build/bin/ProcessGroupNCCLErrorsTest 2025-12-04T09:22:30.3307420Z inflating: build/bin/test_api 2025-12-04T09:22:30.3311059Z inflating: build/bin/torch_shm_manager 2025-12-04T09:22:30.3313709Z inflating: build/bin/parallel_benchmark 2025-12-04T09:22:30.3314103Z creating: .additional_ci_files/ 2025-12-04T09:22:30.3380300Z inflating: .additional_ci_files/test-times.json 2025-12-04T09:22:30.3621348Z inflating: .additional_ci_files/test-class-times.json 2025-12-04T09:22:30.3677855Z ##[group]Run rm artifacts.zip 2025-12-04T09:22:30.3678198Z rm artifacts.zip 2025-12-04T09:22:30.3685051Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:30.3685465Z env: 2025-12-04T09:22:30.3685694Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:30.3685966Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:30.3686232Z ##[endgroup] 2025-12-04T09:22:30.4264714Z ##[group]Run df -H 2025-12-04T09:22:30.4264976Z df -H 2025-12-04T09:22:30.4270988Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:30.4271398Z env: 2025-12-04T09:22:30.4271789Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:30.4272085Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:30.4272357Z ##[endgroup] 2025-12-04T09:22:30.4497038Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T09:22:30.4497508Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T09:22:30.4497873Z tmpfs 17G 0 17G 0% /dev/shm 2025-12-04T09:22:30.4498229Z tmpfs 6.6G 521k 6.6G 1% /run 2025-12-04T09:22:30.4498571Z /dev/nvme0n1p1 161G 47G 115G 29% / 2025-12-04T09:22:30.4498907Z tmpfs 17G 13k 17G 1% /tmp 2025-12-04T09:22:30.4499283Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T09:22:30.4584097Z Prepare all required actions 2025-12-04T09:22:30.4585007Z Getting action download info 2025-12-04T09:22:30.6228154Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T09:22:30.6228548Z with: 2025-12-04T09:22:30.6228764Z env: 2025-12-04T09:22:30.6228981Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:30.6229268Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:30.6229525Z ##[endgroup] 2025-12-04T09:22:30.6263962Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:22:30.6264337Z with: 2025-12-04T09:22:30.6264705Z name: td_results 2025-12-04T09:22:30.6264969Z s3-bucket: gha-artifacts 2025-12-04T09:22:30.6265260Z region: us-east-1 2025-12-04T09:22:30.6265483Z env: 2025-12-04T09:22:30.6265709Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:30.6265987Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:30.6266242Z ##[endgroup] 2025-12-04T09:22:31.3280377Z (node:44227) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:22:31.3281160Z 2025-12-04T09:22:31.3281367Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:22:31.3281958Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:22:31.3282564Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:22:31.4167315Z Found 1 objects with prefix pytorch/pytorch/19922826259/td_results/ 2025-12-04T09:22:31.4168022Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:22:31.4838900Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:22:31.4845363Z Artifact download has finished successfully 2025-12-04T09:22:31.8032955Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T09:22:31.8033351Z mkdir -p .additional_ci_files 2025-12-04T09:22:31.8033815Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T09:22:31.8041506Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:31.8041896Z env: 2025-12-04T09:22:31.8042127Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:31.8042406Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:31.8042651Z ##[endgroup] 2025-12-04T09:22:31.8603646Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T09:22:31.8604184Z .github/scripts/parse_ref.py 2025-12-04T09:22:31.8610733Z shell: /usr/bin/bash -e {0} 2025-12-04T09:22:31.8611030Z env: 2025-12-04T09:22:31.8611264Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:31.8611564Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:31.8611810Z ##[endgroup] 2025-12-04T09:22:31.9143735Z Setting output branch=main 2025-12-04T09:22:31.9296047Z Prepare all required actions 2025-12-04T09:22:31.9296504Z Getting action download info 2025-12-04T09:22:32.0606845Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T09:22:32.0607219Z with: 2025-12-04T09:22:32.0607694Z github-token: *** 2025-12-04T09:22:32.0613123Z test-matrix: {"include": [{"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:22:32.0619058Z job-name: linux-jammy-cuda13.0-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:22:32.0620893Z env: 2025-12-04T09:22:32.0621112Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:32.0621400Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:32.0621663Z ##[endgroup] 2025-12-04T09:22:32.0736118Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:22:32.0736459Z with: 2025-12-04T09:22:32.0736669Z shell: bash 2025-12-04T09:22:32.0736909Z timeout_minutes: 10 2025-12-04T09:22:32.0737177Z max_attempts: 5 2025-12-04T09:22:32.0737421Z retry_wait_seconds: 30 2025-12-04T09:22:32.0738283Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:22:32.0739181Z polling_interval_seconds: 1 2025-12-04T09:22:32.0739484Z warning_on_retry: true 2025-12-04T09:22:32.0739751Z continue_on_error: false 2025-12-04T09:22:32.0740026Z env: 2025-12-04T09:22:32.0740264Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:32.0740537Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:32.0741057Z GITHUB_TOKEN: *** 2025-12-04T09:22:32.0741308Z ##[endgroup] 2025-12-04T09:22:32.2520767Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:22:32.5116832Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:22:32.6536087Z Collecting requests==2.27.1 2025-12-04T09:22:32.6705154Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T09:22:32.9312574Z Collecting pyyaml==6.0.2 2025-12-04T09:22:32.9424515Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T09:22:32.9981279Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T09:22:32.9985100Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T09:22:33.0686157Z Collecting certifi>=2017.4.17 2025-12-04T09:22:33.0724010Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T09:22:33.5247000Z Collecting charset-normalizer~=2.0.0 2025-12-04T09:22:33.5284713Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T09:22:33.6458272Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T09:22:33.9918413Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T09:22:34.1598039Z Command completed after 1 attempt(s). 2025-12-04T09:22:34.1652804Z ##[group]Run set -x 2025-12-04T09:22:34.1653093Z set -x 2025-12-04T09:22:34.1653332Z  2025-12-04T09:22:34.1653742Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:22:34.1654252Z # in runner workspace 2025-12-04T09:22:34.1654671Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T09:22:34.1661823Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:34.1662244Z env: 2025-12-04T09:22:34.1662503Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:34.1662798Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:34.1663052Z ##[endgroup] 2025-12-04T09:22:34.1692852Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T09:22:34.1890118Z Setting output branch=main 2025-12-04T09:22:34.1984381Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:22:34.1984842Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:22:34.1985210Z echo "Job name: ${JOB_NAME}" 2025-12-04T09:22:34.1985510Z  2025-12-04T09:22:34.1985912Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:22:34.1986424Z # in runner workspace 2025-12-04T09:22:34.1986881Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T09:22:34.1987573Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T09:22:34.1987957Z  --job-name "${JOB_NAME}" \ 2025-12-04T09:22:34.1993352Z  --test-matrix "{"include": [{"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]}" \ 2025-12-04T09:22:34.1998999Z  --selected-test-configs "" \ 2025-12-04T09:22:34.1999349Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T09:22:34.1999691Z  --tag "${TAG}" \ 2025-12-04T09:22:34.2000008Z  --event-name "${EVENT_NAME}" \ 2025-12-04T09:22:34.2000347Z  --schedule "${SCHEDULE}" \ 2025-12-04T09:22:34.2000683Z  --branch "${HEAD_BRANCH}" 2025-12-04T09:22:34.2007437Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:34.2007849Z env: 2025-12-04T09:22:34.2008074Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:34.2008365Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:34.2009040Z GITHUB_TOKEN: *** 2025-12-04T09:22:34.2009577Z JOB_NAME: linux-jammy-cuda13.0-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:22:34.2010190Z PR_NUMBER: 2025-12-04T09:22:34.2010419Z TAG: 2025-12-04T09:22:34.2010641Z EVENT_NAME: schedule 2025-12-04T09:22:34.2010892Z SCHEDULE: 29 8 * * * 2025-12-04T09:22:34.2011154Z HEAD_BRANCH: main 2025-12-04T09:22:34.2011402Z ##[endgroup] 2025-12-04T09:22:34.2040337Z Workflow: periodic 2025-12-04T09:22:34.2040877Z Job name: linux-jammy-cuda13.0-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:22:34.4385912Z Setting output keep-going=True 2025-12-04T09:22:34.4386361Z Setting output ci-verbose-test-logs=False 2025-12-04T09:22:34.4386773Z Setting output ci-test-showlocals=False 2025-12-04T09:22:34.4387122Z Setting output ci-no-test-timeout=False 2025-12-04T09:22:34.4387465Z Setting output ci-no-td=False 2025-12-04T09:22:34.4387790Z Setting output ci-td-distributed=False 2025-12-04T09:22:34.4388122Z Setting output is-unstable=False 2025-12-04T09:22:34.4388443Z Setting output reenabled-issues= 2025-12-04T09:22:34.4401162Z Setting output test-matrix={"include": [{"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:22:34.4414010Z Setting output is-test-matrix-empty=False 2025-12-04T09:22:34.4560721Z ##[group]Run echo "Filtered matrix:" 2025-12-04T09:22:34.4561151Z echo "Filtered matrix:" 2025-12-04T09:22:34.4573626Z echo "{"include": [{"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 1, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 2, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_AVX512", "shard": 3, "num_shards": 3, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 1, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "nogpu_NO_AVX2", "shard": 2, "num_shards": 2, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "jit_legacy", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]}" 2025-12-04T09:22:34.4586207Z  2025-12-04T09:22:34.4586416Z echo 2025-12-04T09:22:34.4586732Z echo "Is the current job unstable? False" 2025-12-04T09:22:34.4587107Z  2025-12-04T09:22:34.4587317Z echo 2025-12-04T09:22:34.4587594Z echo "Is keep-going label set? True" 2025-12-04T09:22:34.4587940Z  2025-12-04T09:22:34.4588142Z echo 2025-12-04T09:22:34.4588393Z echo "Reenabled issues? " 2025-12-04T09:22:34.4594897Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:34.4595313Z env: 2025-12-04T09:22:34.4595542Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:34.4595836Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:34.4596104Z ##[endgroup] 2025-12-04T09:22:34.4623986Z Filtered matrix: 2025-12-04T09:22:34.4639604Z {include: [{config: nogpu_AVX512, shard: 1, num_shards: 3, runner: linux.4xlarge, mem_leak_check: mem_leak_check}, {config: nogpu_AVX512, shard: 1, num_shards: 3, runner: linux.4xlarge, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_AVX512, shard: 1, num_shards: 3, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: nogpu_AVX512, shard: 1, num_shards: 3, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_AVX512, shard: 2, num_shards: 3, runner: linux.4xlarge, mem_leak_check: mem_leak_check}, {config: nogpu_AVX512, shard: 2, num_shards: 3, runner: linux.4xlarge, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_AVX512, shard: 2, num_shards: 3, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: nogpu_AVX512, shard: 2, num_shards: 3, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_AVX512, shard: 3, num_shards: 3, runner: linux.4xlarge, mem_leak_check: mem_leak_check}, {config: nogpu_AVX512, shard: 3, num_shards: 3, runner: linux.4xlarge, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_AVX512, shard: 3, num_shards: 3, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: nogpu_AVX512, shard: 3, num_shards: 3, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_NO_AVX2, shard: 1, num_shards: 2, runner: linux.4xlarge, mem_leak_check: mem_leak_check}, {config: nogpu_NO_AVX2, shard: 1, num_shards: 2, runner: linux.4xlarge, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_NO_AVX2, shard: 1, num_shards: 2, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: nogpu_NO_AVX2, shard: 1, num_shards: 2, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_NO_AVX2, shard: 2, num_shards: 2, runner: linux.4xlarge, mem_leak_check: mem_leak_check}, {config: nogpu_NO_AVX2, shard: 2, num_shards: 2, runner: linux.4xlarge, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: nogpu_NO_AVX2, shard: 2, num_shards: 2, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: nogpu_NO_AVX2, shard: 2, num_shards: 2, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: jit_legacy, shard: 1, num_shards: 1, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check}, {config: jit_legacy, shard: 1, num_shards: 1, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: jit_legacy, shard: 1, num_shards: 1, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: jit_legacy, shard: 1, num_shards: 1, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}]} 2025-12-04T09:22:34.4651971Z 2025-12-04T09:22:34.4652100Z Is the current job unstable? False 2025-12-04T09:22:34.4652311Z 2025-12-04T09:22:34.4652432Z Is keep-going label set? True 2025-12-04T09:22:34.4652626Z 2025-12-04T09:22:34.4652735Z Reenabled issues? 2025-12-04T09:22:34.4738733Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:22:34.4739316Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:22:34.4745513Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:34.4745905Z env: 2025-12-04T09:22:34.4746142Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:34.4746429Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:34.4746681Z JOB_TIMEOUT: 240 2025-12-04T09:22:34.4746922Z ##[endgroup] 2025-12-04T09:22:34.4804151Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:22:34.4804743Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:22:34.4805242Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:22:34.4811105Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:22:34.4811507Z env: 2025-12-04T09:22:34.4811745Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:34.4812028Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:34.4812423Z ##[endgroup] 2025-12-04T09:22:34.4967297Z ##[group]Run set -x 2025-12-04T09:22:34.4967673Z set -x 2025-12-04T09:22:34.4967908Z  2025-12-04T09:22:34.4968160Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T09:22:34.4968581Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T09:22:34.4969010Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T09:22:34.4969400Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T09:22:34.4969709Z else 2025-12-04T09:22:34.4969973Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:22:34.4970301Z fi 2025-12-04T09:22:34.4970504Z  2025-12-04T09:22:34.4970782Z # Leaving 1GB for the runner and other things 2025-12-04T09:22:34.4971408Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T09:22:34.4972355Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T09:22:34.4973133Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T09:22:34.4973695Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T09:22:34.4974150Z  2025-12-04T09:22:34.4974434Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:22:34.4974795Z  SHM_OPTS= 2025-12-04T09:22:34.4975061Z  JENKINS_USER= 2025-12-04T09:22:34.4975438Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T09:22:34.4975950Z  # if for some reason cleanup action doesn't stop container 2025-12-04T09:22:34.4976365Z  # when job is cancelled 2025-12-04T09:22:34.4976692Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T09:22:34.4977048Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T09:22:34.4977366Z else 2025-12-04T09:22:34.4977630Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T09:22:34.4977999Z  JENKINS_USER="--user jenkins" 2025-12-04T09:22:34.4978331Z  DOCKER_SHELL_CMD= 2025-12-04T09:22:34.4978623Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T09:22:34.4978934Z fi 2025-12-04T09:22:34.4979150Z  2025-12-04T09:22:34.4979492Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T09:22:34.4980069Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T09:22:34.4980730Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T09:22:34.4981309Z # shellcheck disable=SC2086,SC2090 2025-12-04T09:22:34.4981654Z container_name=$(docker run \ 2025-12-04T09:22:34.4981984Z  ${GPU_FLAG:-} \ 2025-12-04T09:22:34.4982304Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T09:22:34.4982660Z  -e BUILD_ENVIRONMENT \ 2025-12-04T09:22:34.4982979Z  -e PR_NUMBER \ 2025-12-04T09:22:34.4983282Z  -e GITHUB_ACTIONS \ 2025-12-04T09:22:34.4983583Z  -e GITHUB_REPOSITORY \ 2025-12-04T09:22:34.4983904Z  -e GITHUB_WORKFLOW \ 2025-12-04T09:22:34.4984212Z  -e GITHUB_JOB \ 2025-12-04T09:22:34.4984484Z  -e GITHUB_RUN_ID \ 2025-12-04T09:22:34.4984781Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T09:22:34.4985099Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T09:22:34.4985405Z  -e JOB_ID \ 2025-12-04T09:22:34.4985658Z  -e JOB_NAME \ 2025-12-04T09:22:34.4985927Z  -e BASE_SHA \ 2025-12-04T09:22:34.4986194Z  -e BRANCH \ 2025-12-04T09:22:34.4986441Z  -e SHA1 \ 2025-12-04T09:22:34.4986709Z  -e AWS_DEFAULT_REGION \ 2025-12-04T09:22:34.4987021Z  -e IN_WHEEL_TEST \ 2025-12-04T09:22:34.4987302Z  -e SHARD_NUMBER \ 2025-12-04T09:22:34.4987593Z  -e TEST_CONFIG \ 2025-12-04T09:22:34.4987891Z  -e NUM_TEST_SHARDS \ 2025-12-04T09:22:34.4988464Z  -e REENABLED_ISSUES \ 2025-12-04T09:22:34.4988797Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T09:22:34.4989135Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T09:22:34.4989453Z  -e TEST_SHOWLOCALS \ 2025-12-04T09:22:34.4989750Z  -e NO_TEST_TIMEOUT \ 2025-12-04T09:22:34.4990042Z  -e NO_TD \ 2025-12-04T09:22:34.4990308Z  -e TD_DISTRIBUTED \ 2025-12-04T09:22:34.4990593Z  -e PR_LABELS \ 2025-12-04T09:22:34.4990906Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T09:22:34.4991264Z  -e SCCACHE_BUCKET \ 2025-12-04T09:22:34.4991556Z  -e SCCACHE_REGION \ 2025-12-04T09:22:34.4991849Z  -e XLA_CUDA \ 2025-12-04T09:22:34.4992160Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T09:22:34.4992545Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T09:22:34.4992931Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T09:22:34.4993336Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T09:22:34.4993701Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T09:22:34.4994041Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T09:22:34.4994411Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T09:22:34.4994756Z  -e DASHBOARD_TAG \ 2025-12-04T09:22:34.4995051Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T09:22:34.4995437Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T09:22:34.4995883Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T09:22:34.4996323Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T09:22:34.4996732Z  --security-opt seccomp=unconfined \ 2025-12-04T09:22:34.4997096Z  --cap-add=SYS_PTRACE \ 2025-12-04T09:22:34.4997405Z  --ipc=host \ 2025-12-04T09:22:34.4997664Z  ${SHM_OPTS} \ 2025-12-04T09:22:34.4997936Z  --tty \ 2025-12-04T09:22:34.4998182Z  --detach \ 2025-12-04T09:22:34.4998460Z  --name="${container_name}" \ 2025-12-04T09:22:34.4998798Z  ${JENKINS_USER} \ 2025-12-04T09:22:34.4999168Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T09:22:34.4999596Z  -w /var/lib/jenkins/workspace \ 2025-12-04T09:22:34.4999925Z  "${USED_IMAGE}" \ 2025-12-04T09:22:34.5000216Z  ${DOCKER_SHELL_CMD} 2025-12-04T09:22:34.5000501Z ) 2025-12-04T09:22:34.5000841Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T09:22:34.5001284Z  2025-12-04T09:22:34.5001561Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:22:34.5002185Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T09:22:34.5002732Z fi 2025-12-04T09:22:34.5002955Z  2025-12-04T09:22:34.5003486Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T09:22:34.5009809Z shell: /usr/bin/bash -e {0} 2025-12-04T09:22:34.5010102Z env: 2025-12-04T09:22:34.5010335Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:22:34.5010613Z HAS_NVIDIA_GPU: false 2025-12-04T09:22:34.5010953Z BUILD_ENVIRONMENT: linux-jammy-cuda13.0-py3.10-gcc11 2025-12-04T09:22:34.5011333Z PR_NUMBER: 2025-12-04T09:22:34.5011588Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T09:22:34.5011901Z GITHUB_WORKFLOW: periodic 2025-12-04T09:22:34.5012180Z GITHUB_JOB: test 2025-12-04T09:22:34.5012431Z GITHUB_RUN_ID: 19922826259 2025-12-04T09:22:34.5012701Z GITHUB_RUN_NUMBER: 19107 2025-12-04T09:22:34.5012976Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T09:22:34.5013232Z JOB_ID: 57117865638 2025-12-04T09:22:34.5013752Z JOB_NAME: linux-jammy-cuda13.0-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:22:34.5014347Z BRANCH: main 2025-12-04T09:22:34.5014624Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:22:34.5015222Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:22:34.5015585Z TEST_CONFIG: nogpu_NO_AVX2 2025-12-04T09:22:34.5015873Z SHARD_NUMBER: 1 2025-12-04T09:22:34.5016117Z NUM_TEST_SHARDS: 2 2025-12-04T09:22:34.5016352Z EXTRA_FLAGS: 2025-12-04T09:22:34.5016597Z OP_BENCHMARK_TESTS: 2025-12-04T09:22:34.5016862Z REENABLED_ISSUES: 2025-12-04T09:22:34.5017112Z CONTINUE_THROUGH_ERROR: True 2025-12-04T09:22:34.5017410Z VERBOSE_TEST_LOGS: False 2025-12-04T09:22:34.5017688Z TEST_SHOWLOCALS: False 2025-12-04T09:22:34.5017949Z NO_TEST_TIMEOUT: False 2025-12-04T09:22:34.5018209Z NO_TD: False 2025-12-04T09:22:34.5018448Z TD_DISTRIBUTED: False 2025-12-04T09:22:34.5018761Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T09:22:34.5019145Z SCCACHE_REGION: us-east-1 2025-12-04T09:22:34.5019430Z SHM_SIZE: 1g 2025-12-04T09:22:34.5020276Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:34.5021808Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:34.5022741Z XLA_CUDA: 2025-12-04T09:22:34.5023117Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:22:34.5023608Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T09:22:34.5023939Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 1 2025-12-04T09:22:34.5024259Z DASHBOARD_TAG: 2025-12-04T09:22:34.5024738Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T09:22:34.5025188Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T09:22:34.5025614Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T09:22:34.5026066Z ARTIFACTS_FILE_SUFFIX: test-nogpu_NO_AVX2-1-2-linux.4xlarge_57117865638 2025-12-04T09:22:34.5026526Z ##[endgroup] 2025-12-04T09:22:34.5053245Z + [[ nogpu_NO_AVX2 == \m\u\l\t\i\g\p\u ]] 2025-12-04T09:22:34.5053669Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *onnx* ]] 2025-12-04T09:22:34.5054051Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:22:34.5056810Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T09:22:34.5638486Z + TOTAL_AVAILABLE_MEMORY_IN_GB='29.422 ' 2025-12-04T09:22:34.5638882Z + TOTAL_MEMORY_WITH_SWAP=32 2025-12-04T09:22:34.5639235Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *\s\3\9\0\x* ]] 2025-12-04T09:22:34.5639635Z + SHM_OPTS=--shm-size=1g 2025-12-04T09:22:34.5639922Z + JENKINS_USER='--user jenkins' 2025-12-04T09:22:34.5640217Z + DOCKER_SHELL_CMD= 2025-12-04T09:22:34.5641048Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:34.5648870Z +++ nproc --ignore=2 2025-12-04T09:22:34.5829247Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=14 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=29g --memory-swap=32g --env-file=/tmp/github_env_19922826259 --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-cuda13.0-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:22:46.0629423Z + container_name=05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T09:22:46.0630353Z + echo DOCKER_CONTAINER_ID=05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T09:22:46.0631012Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *\s\3\9\0\x* ]] 2025-12-04T09:22:46.0635259Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T09:22:46.0637987Z + docker exec -t 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T09:22:46.6466127Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T09:22:47.4209403Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0) 2025-12-04T09:22:47.4214088Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.12.2) 2025-12-04T09:22:47.4219680Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3) 2025-12-04T09:22:47.4225027Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8) 2025-12-04T09:22:47.4229354Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6) 2025-12-04T09:22:47.4235186Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0) 2025-12-04T09:22:47.4250702Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0) 2025-12-04T09:22:47.4648847Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.22.4) 2025-12-04T09:22:47.4671330Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0) 2025-12-04T09:22:47.4734196Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3) 2025-12-04T09:22:47.8732565Z Installing collected packages: torch 2025-12-04T09:22:59.4044877Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T09:22:59.5657099Z + export TERM=vt100 2025-12-04T09:22:59.5657625Z + TERM=vt100 2025-12-04T09:22:59.5659420Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:22:59.5803057Z + source .ci/pytorch/common.sh 2025-12-04T09:22:59.5841431Z +++ dirname .ci/pytorch/common.sh 2025-12-04T09:22:59.5851176Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T09:22:59.5944635Z +++ declare -f -t trap_add 2025-12-04T09:22:59.5950094Z ++ set -ex -o pipefail 2025-12-04T09:22:59.5950429Z ++ [[ linux-jammy-cuda13.0-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:22:59.5950820Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T09:22:59.6028442Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:22:59.6186261Z + source .ci/pytorch/common-build.sh 2025-12-04T09:22:59.6232162Z ++ [[ linux-jammy-cuda13.0-py3.10-gcc11 != *win-* ]] 2025-12-04T09:22:59.6238620Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T09:22:59.6248597Z +++ cd .ci/pytorch 2025-12-04T09:22:59.6248869Z +++ pwd -P 2025-12-04T09:22:59.6251580Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T09:22:59.6254658Z ++ [[ linux-jammy-cuda13.0-py3.10-gcc11 == *-pch* ]] 2025-12-04T09:22:59.6255075Z ++ which sccache 2025-12-04T09:22:59.6373501Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T09:22:59.6373901Z ++ sccache --stop-server 2025-12-04T09:22:59.6781177Z ++ true 2025-12-04T09:22:59.6781688Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T09:22:59.6833929Z ++ trap_add sccache_epilogue EXIT 2025-12-04T09:22:59.6834301Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T09:22:59.6834832Z ++ shift 2025-12-04T09:22:59.6835065Z ++ for trap_add_name in "$@" 2025-12-04T09:22:59.6841476Z ++++ trap -p EXIT 2025-12-04T09:22:59.6844296Z +++ eval 'extract_trap_cmd ' 2025-12-04T09:22:59.6844759Z ++++ extract_trap_cmd 2025-12-04T09:22:59.6845233Z ++++ printf '%s\n' '' 2025-12-04T09:22:59.6845531Z +++ printf '%s\n' sccache_epilogue 2025-12-04T09:22:59.6846912Z ++ trap -- ' 2025-12-04T09:22:59.6847360Z sccache_epilogue' EXIT 2025-12-04T09:22:59.6847839Z ++ [[ -n 1 ]] 2025-12-04T09:22:59.6848664Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T09:22:59.6849396Z Skipping sccache server initialization, setting environment variables 2025-12-04T09:22:59.6849882Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:22:59.6850192Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:22:59.6850564Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:22:59.6851028Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:22:59.6859772Z ++ export RUST_LOG=sccache::server=error 2025-12-04T09:22:59.6860204Z ++ RUST_LOG=sccache::server=error 2025-12-04T09:22:59.6860538Z ++ sccache --zero-stats 2025-12-04T09:23:00.0899719Z Statistics zeroed. 2025-12-04T09:23:00.0903512Z ++ which ccache 2025-12-04T09:23:00.0923125Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 != *rocm* ]] 2025-12-04T09:23:00.0923654Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 != *s390x* ]] 2025-12-04T09:23:00.0924064Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T09:23:00.0927294Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T09:23:00.0990870Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T09:23:00.0991292Z + trap_add cleanup_workspace EXIT 2025-12-04T09:23:00.0991629Z + trap_add_cmd=cleanup_workspace 2025-12-04T09:23:00.0991913Z + shift 2025-12-04T09:23:00.0992143Z + for trap_add_name in "$@" 2025-12-04T09:23:00.0998154Z +++ trap -p EXIT 2025-12-04T09:23:00.1001153Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T09:23:00.1001493Z sccache_epilogue'\'' EXIT' 2025-12-04T09:23:00.1001934Z +++ extract_trap_cmd trap -- ' 2025-12-04T09:23:00.1002236Z sccache_epilogue' EXIT 2025-12-04T09:23:00.1002496Z +++ printf '%s\n' ' 2025-12-04T09:23:00.1002743Z sccache_epilogue' 2025-12-04T09:23:00.1003008Z ++ printf '%s\n' cleanup_workspace 2025-12-04T09:23:00.1004370Z + trap -- ' 2025-12-04T09:23:00.1004720Z sccache_epilogue 2025-12-04T09:23:00.1004990Z cleanup_workspace' EXIT 2025-12-04T09:23:00.1005303Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T09:23:00.8486236Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T09:23:00.8645721Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:23:00.8648704Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))' 2025-12-04T09:23:01.3554566Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:23:01.3555240Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']' 2025-12-04T09:23:01.3560388Z +++ realpath .ci/pytorch/test.sh 2025-12-04T09:23:01.3581117Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh 2025-12-04T09:23:01.3590756Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch 2025-12-04T09:23:01.3591450Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:23:01.3592088Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace 2025-12-04T09:23:01.3592582Z + patch -p4 2025-12-04T09:23:01.3634272Z patching file cudadrv/driver.py 2025-12-04T09:23:01.3635425Z Hunk #1 succeeded at 357 (offset -8 lines). 2025-12-04T09:23:01.3644055Z + popd 2025-12-04T09:23:01.3644275Z ~/workspace 2025-12-04T09:23:01.3644553Z + echo 'Environment variables:' 2025-12-04T09:23:01.3644928Z Environment variables: 2025-12-04T09:23:01.3645181Z + env 2025-12-04T09:23:01.3664185Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:23:01.3664889Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:23:01.3665517Z BUILD_ENVIRONMENT=linux-jammy-cuda13.0-py3.10-gcc11 2025-12-04T09:23:01.3666482Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:23:01.3666917Z HOSTNAME=05efc85def0e 2025-12-04T09:23:01.3667689Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_517ca6da-cdfe-493d-bbeb-3709e21dcd02 2025-12-04T09:23:01.3668503Z GITHUB_ACTION=__run_3 2025-12-04T09:23:01.3668823Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:23:01.3669364Z GITHUB_RUN_NUMBER=19107 2025-12-04T09:23:01.3669867Z TEST_CONFIG=nogpu_NO_AVX2 2025-12-04T09:23:01.3670464Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:23:01.3671083Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:23:01.3671671Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:23:01.3672245Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:23:01.3672552Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:23:01.3672856Z GITHUB_REF_TYPE=branch 2025-12-04T09:23:01.3673175Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:23:01.3673525Z XLA_CUDA= 2025-12-04T09:23:01.3673768Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:23:01.3674195Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:23:01.3674746Z *** 2025-12-04T09:23:01.3674957Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:23:01.3675262Z GITHUB_ACTIONS=true 2025-12-04T09:23:01.3675581Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:23:01.3675992Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:23:01.3676399Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:23:01.3676984Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main 2025-12-04T09:23:01.3677508Z UCC_HOME=/usr 2025-12-04T09:23:01.3677734Z VERBOSE_TEST_LOGS=False 2025-12-04T09:23:01.3678006Z GITHUB_REF=refs/heads/main 2025-12-04T09:23:01.3678285Z SHARD_NUMBER=1 2025-12-04T09:23:01.3678517Z GITHUB_REF_PROTECTED=true 2025-12-04T09:23:01.3678791Z HOME=/var/lib/jenkins 2025-12-04T09:23:01.3679085Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:23:01.3679425Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:23:01.3679793Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:23:01.3680157Z USE_SYSTEM_NCCL=1 2025-12-04T09:23:01.3680388Z NUM_TEST_SHARDS=2 2025-12-04T09:23:01.3680632Z UCX_HOME=/usr 2025-12-04T09:23:01.3681254Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_517ca6da-cdfe-493d-bbeb-3709e21dcd02 2025-12-04T09:23:01.3682236Z JOB_NAME=linux-jammy-cuda13.0-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:23:01.3683202Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_517ca6da-cdfe-493d-bbeb-3709e21dcd02 2025-12-04T09:23:01.3684178Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:23:01.3684724Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:23:01.3684989Z DASHBOARD_TAG= 2025-12-04T09:23:01.3685229Z GITHUB_RUN_ID=19922826259 2025-12-04T09:23:01.3685509Z INSTALLED_OPENBLAS= 2025-12-04T09:23:01.3686170Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_517ca6da-cdfe-493d-bbeb-3709e21dcd02 2025-12-04T09:23:01.3686917Z GITHUB_ACTOR=huydhn 2025-12-04T09:23:01.3687162Z PR_NUMBER= 2025-12-04T09:23:01.3687388Z DESIRED_CUDA=13.0.0 2025-12-04T09:23:01.3687626Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:23:01.3687897Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:23:01.3688257Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:23:01.3688628Z TERM=vt100 2025-12-04T09:23:01.3689099Z INSTALLED_VISION=yes 2025-12-04T09:23:01.3689483Z BRANCH=main 2025-12-04T09:23:01.3689708Z SCCACHE_REGION=us-east-1 2025-12-04T09:23:01.3689996Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:23:01.3690298Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:23:01.3690565Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:23:01.3691125Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:23:01.3691754Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:23:01.3692131Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:23:01.3692480Z REENABLED_ISSUES= 2025-12-04T09:23:01.3692718Z DOCS= 2025-12-04T09:23:01.3692923Z SHLVL=1 2025-12-04T09:23:01.3693121Z MAX_JOBS=14 2025-12-04T09:23:01.3693349Z GITHUB_ACTOR_ID=475357 2025-12-04T09:23:01.3693710Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:23:01.3694112Z GITHUB_REF_NAME=main 2025-12-04T09:23:01.3694513Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:23:01.3694973Z GITHUB_JOB=test 2025-12-04T09:23:01.3695205Z NO_TEST_TIMEOUT=False 2025-12-04T09:23:01.3695466Z TD_DISTRIBUTED=False 2025-12-04T09:23:01.3695742Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:23:01.3696045Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:23:01.3696322Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:23:01.3696603Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:23:01.3697454Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:23:01.3698325Z GITHUB_BASE_REF= 2025-12-04T09:23:01.3698565Z INSTALLED_ACL= 2025-12-04T09:23:01.3698944Z ARTIFACTS_FILE_SUFFIX=test-nogpu_NO_AVX2-1-2-linux.4xlarge_57117865638 2025-12-04T09:23:01.3699378Z CI=true 2025-12-04T09:23:01.3699613Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:23:01.3699965Z RUST_LOG=sccache::server=error 2025-12-04T09:23:01.3700250Z JOB_ID=57117865638 2025-12-04T09:23:01.3700490Z GITHUB_HEAD_REF= 2025-12-04T09:23:01.3700738Z GITHUB_ACTION_REF= 2025-12-04T09:23:01.3701038Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:23:01.3701416Z TEST_SHOWLOCALS=False 2025-12-04T09:23:01.3701683Z GITHUB_WORKFLOW=periodic 2025-12-04T09:23:01.3701960Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:23:01.3702642Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_517ca6da-cdfe-493d-bbeb-3709e21dcd02 2025-12-04T09:23:01.3703338Z NO_TD=False 2025-12-04T09:23:01.3703582Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:23:01.3703896Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:23:01.3704223Z _=/usr/bin/env 2025-12-04T09:23:01.3704605Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:23:01.3705155Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T09:23:01.3808869Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-12-04T09:23:01.3809676Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:23:01.3810470Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-12-04T09:23:01.3811219Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-12-04T09:23:01.3811822Z + BUILD_DIR=build 2025-12-04T09:23:01.3812099Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T09:23:01.3812516Z + BUILD_BIN_DIR=build/bin 2025-12-04T09:23:01.3812791Z + SHARD_NUMBER=1 2025-12-04T09:23:01.3813149Z + NUM_TEST_SHARDS=2 2025-12-04T09:23:01.3813411Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:23:01.3813748Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:23:01.3814047Z + export VALGRIND=ON 2025-12-04T09:23:01.3814289Z + VALGRIND=ON 2025-12-04T09:23:01.3814681Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *clang9* ]] 2025-12-04T09:23:01.3815111Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *xpu* ]] 2025-12-04T09:23:01.3815590Z + detect_cuda_arch 2025-12-04T09:23:01.3816035Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:23:01.3816728Z + command -v nvidia-smi 2025-12-04T09:23:01.3817287Z + [[ nogpu_NO_AVX2 == *nogpu* ]] 2025-12-04T09:23:01.3817588Z + TORCH_CUDA_ARCH_LIST=8.0 2025-12-04T09:23:01.3817963Z + export TORCH_CUDA_ARCH_LIST 2025-12-04T09:23:01.3818317Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *s390x* ]] 2025-12-04T09:23:01.3818660Z + [[ 1 == \1 ]] 2025-12-04T09:23:01.3818890Z + ulimit -c 0 2025-12-04T09:23:01.3819177Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 != *bazel* ]] 2025-12-04T09:23:01.3819570Z ++ realpath build/custom_test_artifacts 2025-12-04T09:23:01.3838380Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T09:23:01.3838956Z + [[ -n '' ]] 2025-12-04T09:23:01.3839206Z + echo 'Environment variables' 2025-12-04T09:23:01.3839502Z Environment variables 2025-12-04T09:23:01.3839755Z + env 2025-12-04T09:23:01.3857097Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:23:01.3857928Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:23:01.3858424Z BUILD_ENVIRONMENT=linux-jammy-cuda13.0-py3.10-gcc11 2025-12-04T09:23:01.3859312Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:23:01.3859688Z HOSTNAME=05efc85def0e 2025-12-04T09:23:01.3860307Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_517ca6da-cdfe-493d-bbeb-3709e21dcd02 2025-12-04T09:23:01.3861001Z GITHUB_ACTION=__run_3 2025-12-04T09:23:01.3861295Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:23:01.3861757Z GITHUB_RUN_NUMBER=19107 2025-12-04T09:23:01.3862038Z TEST_CONFIG=nogpu_NO_AVX2 2025-12-04T09:23:01.3862331Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:23:01.3862721Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:23:01.3863056Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:23:01.3863462Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:23:01.3863780Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:23:01.3864086Z GITHUB_REF_TYPE=branch 2025-12-04T09:23:01.3864343Z TORCH_CUDA_ARCH_LIST=8.0 2025-12-04T09:23:01.3864673Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:23:01.3865039Z XLA_CUDA= 2025-12-04T09:23:01.3865272Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:23:01.3865816Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:23:01.3866148Z *** 2025-12-04T09:23:01.3866376Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:23:01.3866661Z GITHUB_ACTIONS=true 2025-12-04T09:23:01.3866981Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:23:01.3867400Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:23:01.3867793Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:23:01.3868363Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main 2025-12-04T09:23:01.3868880Z UCC_HOME=/usr 2025-12-04T09:23:01.3869124Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:23:01.3869404Z VERBOSE_TEST_LOGS=False 2025-12-04T09:23:01.3869677Z GITHUB_REF=refs/heads/main 2025-12-04T09:23:01.3869953Z SHARD_NUMBER=1 2025-12-04T09:23:01.3870181Z GITHUB_REF_PROTECTED=true 2025-12-04T09:23:01.3870458Z HOME=/var/lib/jenkins 2025-12-04T09:23:01.3870770Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:23:01.3871106Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:23:01.3871470Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:23:01.3871830Z USE_SYSTEM_NCCL=1 2025-12-04T09:23:01.3872059Z NUM_TEST_SHARDS=2 2025-12-04T09:23:01.3872295Z UCX_HOME=/usr 2025-12-04T09:23:01.3872905Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_517ca6da-cdfe-493d-bbeb-3709e21dcd02 2025-12-04T09:23:01.3873867Z JOB_NAME=linux-jammy-cuda13.0-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:23:01.3874812Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_517ca6da-cdfe-493d-bbeb-3709e21dcd02 2025-12-04T09:23:01.3875693Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:23:01.3876236Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:23:01.3876503Z DASHBOARD_TAG= 2025-12-04T09:23:01.3876968Z GITHUB_RUN_ID=19922826259 2025-12-04T09:23:01.3877351Z INSTALLED_OPENBLAS= 2025-12-04T09:23:01.3878011Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_517ca6da-cdfe-493d-bbeb-3709e21dcd02 2025-12-04T09:23:01.3878747Z GITHUB_ACTOR=huydhn 2025-12-04T09:23:01.3878995Z PR_NUMBER= 2025-12-04T09:23:01.3879205Z DESIRED_CUDA=13.0.0 2025-12-04T09:23:01.3879451Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:23:01.3879702Z VALGRIND=ON 2025-12-04T09:23:01.3879943Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:23:01.3880286Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:23:01.3880654Z TERM=vt100 2025-12-04T09:23:01.3880880Z INSTALLED_VISION=yes 2025-12-04T09:23:01.3881116Z BRANCH=main 2025-12-04T09:23:01.3881368Z SCCACHE_REGION=us-east-1 2025-12-04T09:23:01.3881660Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:23:01.3881952Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:23:01.3882235Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:23:01.3882805Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:23:01.3883424Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:23:01.3883894Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:23:01.3884266Z REENABLED_ISSUES= 2025-12-04T09:23:01.3884490Z DOCS= 2025-12-04T09:23:01.3884707Z SHLVL=1 2025-12-04T09:23:01.3884920Z MAX_JOBS=14 2025-12-04T09:23:01.3885136Z GITHUB_ACTOR_ID=475357 2025-12-04T09:23:01.3885505Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:23:01.3885924Z GITHUB_REF_NAME=main 2025-12-04T09:23:01.3886328Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:23:01.3886776Z GITHUB_JOB=test 2025-12-04T09:23:01.3887018Z NO_TEST_TIMEOUT=False 2025-12-04T09:23:01.3887279Z TD_DISTRIBUTED=False 2025-12-04T09:23:01.3887543Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:23:01.3887862Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:23:01.3888139Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:23:01.3888406Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:23:01.3889252Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:23:01.3890131Z GITHUB_BASE_REF= 2025-12-04T09:23:01.3890357Z INSTALLED_ACL= 2025-12-04T09:23:01.3890733Z ARTIFACTS_FILE_SUFFIX=test-nogpu_NO_AVX2-1-2-linux.4xlarge_57117865638 2025-12-04T09:23:01.3891179Z CI=true 2025-12-04T09:23:01.3891412Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:23:01.3891746Z RUST_LOG=sccache::server=error 2025-12-04T09:23:01.3892031Z JOB_ID=57117865638 2025-12-04T09:23:01.3892270Z GITHUB_HEAD_REF= 2025-12-04T09:23:01.3892501Z GITHUB_ACTION_REF= 2025-12-04T09:23:01.3892813Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:23:01.3893190Z TEST_SHOWLOCALS=False 2025-12-04T09:23:01.3907497Z GITHUB_WORKFLOW=periodic 2025-12-04T09:23:01.3907899Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:23:01.3908619Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_517ca6da-cdfe-493d-bbeb-3709e21dcd02 2025-12-04T09:23:01.3909340Z NO_TD=False 2025-12-04T09:23:01.3909574Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:23:01.3909899Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:23:01.3910387Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:23:01.3910846Z _=/usr/bin/env 2025-12-04T09:23:01.3911077Z + echo 'Testing pytorch' 2025-12-04T09:23:01.3911352Z Testing pytorch 2025-12-04T09:23:01.3911615Z + export LANG=C.UTF-8 2025-12-04T09:23:01.3911859Z + LANG=C.UTF-8 2025-12-04T09:23:01.3915313Z + PR_NUMBER= 2025-12-04T09:23:01.3915706Z + [[ nogpu_NO_AVX2 == \d\e\f\a\u\l\t ]] 2025-12-04T09:23:01.3916098Z + [[ nogpu_NO_AVX2 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T09:23:01.3916512Z + [[ nogpu_NO_AVX2 == \s\l\o\w ]] 2025-12-04T09:23:01.3917042Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *slow-gradcheck* ]] 2025-12-04T09:23:01.3917719Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:23:01.3918370Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:23:01.3918738Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:23:01.3919078Z + [[ nogpu_NO_AVX2 == *crossref* ]] 2025-12-04T09:23:01.3919435Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:23:01.3919850Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *xpu* ]] 2025-12-04T09:23:01.3920271Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 != *-bazel-* ]] 2025-12-04T09:23:01.3920638Z + pip_install ninja==1.10.2 2025-12-04T09:23:01.3921031Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T09:23:01.3921532Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T09:23:01.8215549Z Collecting ninja==1.10.2 2025-12-04T09:23:01.8462840Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T09:23:01.8584409Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T09:23:02.2533957Z Installing collected packages: ninja 2025-12-04T09:23:02.2534419Z Attempting uninstall: ninja 2025-12-04T09:23:02.2543019Z Found existing installation: ninja 1.11.1.4 2025-12-04T09:23:02.2565768Z Uninstalling ninja-1.11.1.4: 2025-12-04T09:23:02.2631008Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T09:23:02.2991877Z Successfully installed ninja-1.10.2 2025-12-04T09:23:02.3911837Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:23:02.3913624Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:23:02.3915137Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *aarch64* ]] 2025-12-04T09:23:02.3915734Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *asan* ]] 2025-12-04T09:23:02.3916174Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *-debug* ]] 2025-12-04T09:23:02.3916652Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 != *-bazel-* ]] 2025-12-04T09:23:02.3917268Z + echo 'We are not in debug mode: linux-jammy-cuda13.0-py3.10-gcc11. Expect the assertion to pass' 2025-12-04T09:23:02.3918028Z We are not in debug mode: linux-jammy-cuda13.0-py3.10-gcc11. Expect the assertion to pass 2025-12-04T09:23:02.3918530Z + cd test 2025-12-04T09:23:02.3918904Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T09:23:04.3626684Z + [[ nogpu_NO_AVX2 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T09:23:04.3627127Z + export ATEN_CPU_CAPABILITY=default 2025-12-04T09:23:04.3627473Z + ATEN_CPU_CAPABILITY=default 2025-12-04T09:23:04.3627851Z + [[ nogpu_NO_AVX2 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T09:23:04.3632070Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T09:23:04.3632545Z + [[ nogpu_NO_AVX2 == *pr_time_benchmarks* ]] 2025-12-04T09:23:04.3633041Z + [[ nogpu_NO_AVX2 == *dynamo_eager* ]] 2025-12-04T09:23:04.3633437Z + [[ nogpu_NO_AVX2 == *aot_eager* ]] 2025-12-04T09:23:04.3633755Z + [[ nogpu_NO_AVX2 == *aot_inductor* ]] 2025-12-04T09:23:04.3634113Z + [[ nogpu_NO_AVX2 == *max_autotune_inductor* ]] 2025-12-04T09:23:04.3634476Z + [[ nogpu_NO_AVX2 == *inductor* ]] 2025-12-04T09:23:04.3635028Z + [[ nogpu_NO_AVX2 == *dynamic* ]] 2025-12-04T09:23:04.3635347Z + [[ nogpu_NO_AVX2 == *cpu* ]] 2025-12-04T09:23:04.3635650Z + [[ nogpu_NO_AVX2 == *xpu* ]] 2025-12-04T09:23:04.3635989Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T09:23:04.3667086Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *libtorch* ]] 2025-12-04T09:23:04.3671114Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *-bazel-* ]] 2025-12-04T09:23:04.3671500Z + cd test 2025-12-04T09:23:04.3671809Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T09:23:05.7891688Z PyTorch built with: 2025-12-04T09:23:05.7892035Z - GCC 11.4 2025-12-04T09:23:05.7892283Z - C++ Version: 201703 2025-12-04T09:23:05.7893244Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:23:05.7894174Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:23:05.7894657Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:23:05.7895025Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T09:23:05.7895372Z - NNPACK is enabled 2025-12-04T09:23:05.7895655Z - CPU capability usage: DEFAULT 2025-12-04T09:23:05.7900891Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32, CUDA_VERSION=13.0, CUDNN_VERSION=9.13.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-12-04T09:23:05.7906272Z 2025-12-04T09:23:06.2140303Z + cd test 2025-12-04T09:23:06.2140703Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T09:23:07.6311408Z ATen/Parallel: 2025-12-04T09:23:07.6311753Z at::get_num_threads() : 8 2025-12-04T09:23:07.6312069Z at::get_num_interop_threads() : 8 2025-12-04T09:23:07.6312382Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:23:07.6312734Z omp_get_max_threads() : 8 2025-12-04T09:23:07.6313346Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:23:07.6313982Z mkl_get_max_threads() : 8 2025-12-04T09:23:07.6314396Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:23:07.6314877Z std::thread::hardware_concurrency() : 16 2025-12-04T09:23:07.6315223Z Environment variables: 2025-12-04T09:23:07.6315487Z OMP_NUM_THREADS : [not set] 2025-12-04T09:23:07.6315781Z MKL_NUM_THREADS : [not set] 2025-12-04T09:23:07.6316084Z ATen parallel backend: OpenMP 2025-12-04T09:23:07.6316281Z 2025-12-04T09:23:08.0250690Z + [[ nogpu_NO_AVX2 == *numpy_2* ]] 2025-12-04T09:23:08.0251492Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *aarch64* ]] 2025-12-04T09:23:08.0252197Z + [[ nogpu_NO_AVX2 == *backward* ]] 2025-12-04T09:23:08.0252872Z + [[ nogpu_NO_AVX2 == *libtorch_agnostic_targetting* ]] 2025-12-04T09:23:08.0253664Z + [[ nogpu_NO_AVX2 == *xla* ]] 2025-12-04T09:23:08.0254029Z + [[ nogpu_NO_AVX2 == *vllm* ]] 2025-12-04T09:23:08.0254325Z + [[ nogpu_NO_AVX2 == *executorch* ]] 2025-12-04T09:23:08.0254670Z + [[ nogpu_NO_AVX2 == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T09:23:08.0255039Z + [[ nogpu_NO_AVX2 == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T09:23:08.0255437Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *libtorch* ]] 2025-12-04T09:23:08.0255827Z + [[ nogpu_NO_AVX2 == distributed ]] 2025-12-04T09:23:08.0256175Z + [[ nogpu_NO_AVX2 == *operator_benchmark* ]] 2025-12-04T09:23:08.0256563Z + [[ nogpu_NO_AVX2 == *operator_microbenchmark* ]] 2025-12-04T09:23:08.0256955Z + [[ nogpu_NO_AVX2 == *attention_microbenchmark* ]] 2025-12-04T09:23:08.0257480Z + [[ nogpu_NO_AVX2 == *inductor_distributed* ]] 2025-12-04T09:23:08.0257851Z + [[ nogpu_NO_AVX2 == *inductor-halide* ]] 2025-12-04T09:23:08.0258194Z + [[ nogpu_NO_AVX2 == *inductor-pallas* ]] 2025-12-04T09:23:08.0258562Z + [[ nogpu_NO_AVX2 == *inductor-triton-cpu* ]] 2025-12-04T09:23:08.0259370Z + [[ nogpu_NO_AVX2 == *inductor-micro-benchmark* ]] 2025-12-04T09:23:08.0259787Z + [[ nogpu_NO_AVX2 == *aoti_cross_compile_for_windows* ]] 2025-12-04T09:23:08.0260189Z + [[ nogpu_NO_AVX2 == *huggingface* ]] 2025-12-04T09:23:08.0260520Z + [[ nogpu_NO_AVX2 == *timm* ]] 2025-12-04T09:23:08.0260814Z + [[ nogpu_NO_AVX2 == cachebench ]] 2025-12-04T09:23:08.0261150Z + [[ nogpu_NO_AVX2 == verify_cachebench ]] 2025-12-04T09:23:08.0261504Z + [[ nogpu_NO_AVX2 == *torchbench* ]] 2025-12-04T09:23:08.0261857Z + [[ nogpu_NO_AVX2 == *inductor_cpp_wrapper* ]] 2025-12-04T09:23:08.0262217Z + [[ nogpu_NO_AVX2 == *inductor_core* ]] 2025-12-04T09:23:08.0262554Z + [[ nogpu_NO_AVX2 == *inductor* ]] 2025-12-04T09:23:08.0262873Z + [[ nogpu_NO_AVX2 == *einops* ]] 2025-12-04T09:23:08.0263175Z + [[ nogpu_NO_AVX2 == *dynamo_core* ]] 2025-12-04T09:23:08.0263516Z + [[ nogpu_NO_AVX2 == *dynamo_wrapped* ]] 2025-12-04T09:23:08.0263899Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:23:08.0264245Z + [[ 1 == 1 ]] 2025-12-04T09:23:08.0264494Z + [[ 2 -gt 1 ]] 2025-12-04T09:23:08.0264773Z + test_lazy_tensor_meta_reference_disabled 2025-12-04T09:23:08.0265186Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T09:23:08.0265643Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T09:23:08.0266114Z + echo 'Testing lazy tensor operations without meta reference' 2025-12-04T09:23:08.0266602Z Testing lazy tensor operations without meta reference 2025-12-04T09:23:08.0267096Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose 2025-12-04T09:23:09.7644069Z W1204 09:23:09.763000 170 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T09:23:13.5098964Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:23:13.5592104Z Ignoring disabled issues: [''] 2025-12-04T09:23:13.5698448Z Found test times from artifacts 2025-12-04T09:23:13.6108263Z Found test times from artifacts 2025-12-04T09:23:13.6122898Z Running all tests 2025-12-04T09:23:13.6126665Z Running parallel tests on 3 processes 2025-12-04T09:23:13.6127332Z Name: tests to run (est. time: 0.01min) 2025-12-04T09:23:13.6127859Z Serial tests (0): 2025-12-04T09:23:13.6128117Z Parallel tests (1): 2025-12-04T09:23:13.6128398Z lazy/test_ts_opinfo 1/1 2025-12-04T09:23:13.6128690Z Name: excluded (est. time: 0.0min) 2025-12-04T09:23:13.6128999Z Serial tests (0): 2025-12-04T09:23:13.6129253Z Parallel tests (0): 2025-12-04T09:23:13.6129909Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:23:13.612802][755.759339285] 2025-12-04T09:23:13.6130814Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:13.6136132Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:13.613264] 2025-12-04T09:23:18.8828467Z 2025-12-04T09:23:18.8829552Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_16ccc28fc821c005_.log 2025-12-04T09:23:18.8830369Z Running 0 items in this shard: 2025-12-04T09:23:18.8830586Z 2025-12-04T09:23:18.8830870Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:23:18.882799][761.029329754], took 0.09min 2025-12-04T09:23:18.8838132Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-6f6114cf9f6de183.xml 2025-12-04T09:23:19.3507890Z Uploading artifacts took 0.11 seconds 2025-12-04T09:23:21.1856080Z W1204 09:23:21.184000 226 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T09:23:21.1953899Z W1204 09:23:21.194000 228 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T09:23:21.2263057Z W1204 09:23:21.225000 227 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T09:23:22.6929729Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:23:22.692525][764.839058755] 2025-12-04T09:23:22.6930270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:22.6932391Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:22.692980] 2025-12-04T09:23:27.9358409Z 2025-12-04T09:23:27.9359634Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_7099888f64f22856_.log 2025-12-04T09:23:27.9360643Z Running 0 items in this shard: 2025-12-04T09:23:27.9360958Z 2025-12-04T09:23:27.9361372Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:23:27.935766][770.082298199], took 0.09min 2025-12-04T09:23:27.9372667Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-b76dd22cd5cf2f92.xml 2025-12-04T09:23:28.9057776Z Running test batch 'tests to run' cost 15.29 seconds 2025-12-04T09:23:29.8317315Z 2025-12-04T09:23:29.8318159Z real 0m21.806s 2025-12-04T09:23:29.8318488Z user 0m30.752s 2025-12-04T09:23:29.8318736Z sys 0m7.374s 2025-12-04T09:23:29.8319098Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE 2025-12-04T09:23:29.8319519Z + test_without_numpy 2025-12-04T09:23:29.8324074Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:23:29.8342655Z + pushd .ci/pytorch 2025-12-04T09:23:29.8343131Z ~/workspace/.ci/pytorch ~/workspace 2025-12-04T09:23:29.8344686Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');from unittest import TestCase;import torch;x=torch.randn(3,3);TestCase().assertRaises(RuntimeError, lambda: x.numpy())' 2025-12-04T09:23:30.6851782Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-12-04T09:23:30.6853470Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:23:31.6323885Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))' 2025-12-04T09:23:32.4763632Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-12-04T09:23:32.4765343Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:23:32.9680106Z tensor([0., 1.]) 2025-12-04T09:23:33.3697360Z + [[ nogpu_NO_AVX2 == *dynamo_wrapped* ]] 2025-12-04T09:23:33.3697972Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx' 2025-12-04T09:23:34.1972130Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-12-04T09:23:34.1973711Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:23:35.0872013Z + popd 2025-12-04T09:23:35.0872307Z ~/workspace 2025-12-04T09:23:35.0872540Z + install_torchvision 2025-12-04T09:23:35.0872814Z + local orig_preload 2025-12-04T09:23:35.0873069Z + local commit 2025-12-04T09:23:35.0876515Z ++ get_pinned_commit vision 2025-12-04T09:23:35.0876829Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T09:23:35.0906214Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:23:35.0906763Z + orig_preload= 2025-12-04T09:23:35.0907111Z + '[' -n '' ']' 2025-12-04T09:23:35.0907391Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:23:35.0907863Z + export FORCE_CUDA=1 2025-12-04T09:23:35.0908126Z + FORCE_CUDA=1 2025-12-04T09:23:35.0908351Z + export WITH_CUDA=1 2025-12-04T09:23:35.0908602Z + WITH_CUDA=1 2025-12-04T09:23:35.0909214Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T09:23:35.0910163Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:23:35.0910901Z + local wheel_dir=dist/vision 2025-12-04T09:23:35.0911195Z + local found_whl=0 2025-12-04T09:23:35.0911464Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:23:35.0911770Z + [[ -f dist/vision/*.whl ]] 2025-12-04T09:23:35.0912045Z + '[' 0 == 0 ']' 2025-12-04T09:23:35.0912792Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:23:35.4347944Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:23:35.4353063Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-2pg3kc3n 2025-12-04T09:23:35.4524013Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-2pg3kc3n 2025-12-04T09:23:37.2180624Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T09:23:37.2204938Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:23:37.3580935Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:23:39.5151785Z Preparing metadata (pyproject.toml) ... [?25l- \ done 2025-12-04T09:23:39.5190361Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T09:25:13.5252550Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ done 2025-12-04T09:25:13.5313786Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1797736 sha256=bfe1ca14f89bf98717098d67ee4e80bb378ea17c5fe53f6d201180b3952b8c49 2025-12-04T09:25:13.5316338Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac 2025-12-04T09:25:13.5358425Z Successfully built torchvision 2025-12-04T09:25:13.6416282Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:25:13.6416926Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:25:13.6417708Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl') 2025-12-04T09:25:13.6418211Z + local args 2025-12-04T09:25:13.6418628Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T09:25:13.6419155Z + for path in "${args[@]}" 2025-12-04T09:25:13.6419665Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl' 2025-12-04T09:25:13.6420409Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:25:13.6421250Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:25:13.9923042Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:25:14.0057105Z Installing collected packages: torchvision 2025-12-04T09:25:14.5170593Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T09:25:14.5852136Z + '[' -n '' ']' 2025-12-04T09:25:14.5852465Z + test_python_shard 1 2025-12-04T09:25:14.5853303Z + [[ -z 2 ]] 2025-12-04T09:25:14.5854126Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 1 2 --verbose --upload-artifacts-while-running 2025-12-04T09:25:16.4596797Z W1204 09:25:16.458000 1827 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T09:25:20.3480664Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:25:20.3586441Z Found test times from artifacts 2025-12-04T09:25:20.4004374Z Found test times from artifacts 2025-12-04T09:25:20.4018961Z Running all tests 2025-12-04T09:25:20.4471864Z Running parallel tests on 3 processes 2025-12-04T09:25:20.4493513Z Name: tests to run (est. time: 47.05min) 2025-12-04T09:25:20.4494198Z Serial tests (47): 2025-12-04T09:25:20.4494754Z inductor/test_flex_attention 1/1 2025-12-04T09:25:20.4495179Z test_privateuseone_python_backend 1/1 2025-12-04T09:25:20.4495538Z test_ci_sanity_check_fail 1/1 2025-12-04T09:25:20.4495995Z test_overrides 1/1 2025-12-04T09:25:20.4496425Z inductor/test_max_autotune 1/1 2025-12-04T09:25:20.4496867Z doctests 1/1 2025-12-04T09:25:20.4497243Z inductor/test_cutlass_backend 1/1 2025-12-04T09:25:20.4497690Z inductor/test_benchmark_fusion 1/1 2025-12-04T09:25:20.4498114Z inductor/test_distributed_patterns 1/1 2025-12-04T09:25:20.4498780Z dynamo/test_fake_distributed 1/1 2025-12-04T09:25:20.4499321Z test_sort_and_select 1/1 2025-12-04T09:25:20.4499718Z test_cpp_api_parity 1/1 2025-12-04T09:25:20.4500236Z test_extension_utils 1/1 2025-12-04T09:25:20.4500649Z test_show_pickle 1/1 2025-12-04T09:25:20.4500918Z test_torch 1/1 2025-12-04T09:25:20.4501161Z test_tensorexpr 1/1 2025-12-04T09:25:20.4501425Z test_utils 1/1 2025-12-04T09:25:20.4501689Z test_namedtuple_return_api 1/1 2025-12-04T09:25:20.4501991Z test_fake_tensor 1/1 2025-12-04T09:25:20.4502303Z test_multiprocessing 1/1 2025-12-04T09:25:20.4502586Z test_fx 1/1 2025-12-04T09:25:20.4502822Z test_autograd_fallback 1/1 2025-12-04T09:25:20.4503118Z test_autocast 1/1 2025-12-04T09:25:20.4503383Z test_python_dispatch 1/1 2025-12-04T09:25:20.4503673Z test_jit_disabled 1/1 2025-12-04T09:25:20.4503956Z test_cpp_extensions_mtia_backend 1/1 2025-12-04T09:25:20.4504326Z functorch/test_memory_efficient_fusion 1/1 2025-12-04T09:25:20.4504687Z test_tensor_creation_ops 1/1 2025-12-04T09:25:20.4505005Z test_cpp_extensions_stream_and_event 1/1 2025-12-04T09:25:20.4505342Z test_dispatch 1/1 2025-12-04T09:25:20.4505614Z nn/test_convolution 1/1 2025-12-04T09:25:20.4505912Z test_cpp_extensions_jit 1/1 2025-12-04T09:25:20.4506205Z test_nn 1/1 2025-12-04T09:25:20.4506454Z test_multiprocessing_spawn 1/1 2025-12-04T09:25:20.4506774Z nn/test_pooling 1/1 2025-12-04T09:25:20.4507042Z test_cuda_trace 1/1 2025-12-04T09:25:20.4507304Z test_native_mha 1/1 2025-12-04T09:25:20.4507594Z test_cuda_nvml_based_avail 1/1 2025-12-04T09:25:20.4507917Z test_mobile_optimizer 1/1 2025-12-04T09:25:20.4508210Z test_cuda_primary_ctx 1/1 2025-12-04T09:25:20.4508509Z test_reductions 1/1 2025-12-04T09:25:20.4508785Z test_spectral_ops 1/1 2025-12-04T09:25:20.4509093Z distributions/test_distributions 1/1 2025-12-04T09:25:20.4509425Z test_autoload_disable 1/1 2025-12-04T09:25:20.4509726Z test_autoload_enable 1/1 2025-12-04T09:25:20.4510037Z test_cpp_extensions_aot_ninja 1/1 2025-12-04T09:25:20.4510368Z test_cpp_extensions_aot_no_ninja 1/1 2025-12-04T09:25:20.4510704Z Parallel tests (244): 2025-12-04T09:25:20.4510990Z inductor/test_aot_inductor 1/1 2025-12-04T09:25:20.4511306Z inductor/test_kernel_benchmark 1/1 2025-12-04T09:25:20.4511655Z inductor/test_pattern_matcher 1/1 2025-12-04T09:25:20.4511997Z inductor/test_cudagraph_trees 1/1 2025-12-04T09:25:20.4512313Z dynamo/test_logging 1/1 2025-12-04T09:25:20.4513031Z dynamo/test_repros 1/1 2025-12-04T09:25:20.4513338Z inductor/test_cuda_select_algorithm 1/1 2025-12-04T09:25:20.4513678Z inductor/test_flex_decoding 1/1 2025-12-04T09:25:20.4514004Z inductor/test_native_matmul 1/1 2025-12-04T09:25:20.4514340Z inductor/test_aot_inductor_package 1/1 2025-12-04T09:25:20.4514689Z inductor/test_online_softmax 1/1 2025-12-04T09:25:20.4515008Z inductor/test_unbacked_symints 1/1 2025-12-04T09:25:20.4515349Z inductor/test_mix_order_reduction 1/1 2025-12-04T09:25:20.4515767Z inductor/test_cudagraph_trees_expandable_segments 1/1 2025-12-04T09:25:20.4516160Z test_varlen_attention 1/1 2025-12-04T09:25:20.4516461Z test_matmul_cuda 1/1 2025-12-04T09:25:20.4516730Z test_sparse 1/1 2025-12-04T09:25:20.4516983Z higher_order_ops/test_local_map 1/1 2025-12-04T09:25:20.4517314Z test_dataloader 1/1 2025-12-04T09:25:20.4517581Z test_ops_jit 1/1 2025-12-04T09:25:20.4517818Z test_linalg 1/1 2025-12-04T09:25:20.4518081Z functorch/test_ops 1/1 2025-12-04T09:25:20.4518379Z dynamo/test_dynamic_shapes 2/2 2025-12-04T09:25:20.4518684Z inductor/test_cpu_repro 1/4 2025-12-04T09:25:20.4518988Z inductor/test_cpu_repro 3/4 2025-12-04T09:25:20.4519287Z inductor/test_smoke 1/1 2025-12-04T09:25:20.4519588Z inductor/test_custom_lowering 1/1 2025-12-04T09:25:20.4519906Z inductor/test_perf 1/1 2025-12-04T09:25:20.4520203Z inductor/test_fused_attention 1/1 2025-12-04T09:25:20.4520536Z inductor/test_binary_folding 1/1 2025-12-04T09:25:20.4520876Z inductor/test_mkldnn_pattern_matcher 1/2 2025-12-04T09:25:20.4521249Z inductor/test_mkldnn_pattern_matcher 2/2 2025-12-04T09:25:20.4521613Z inductor/test_inductor_freezing 1/1 2025-12-04T09:25:20.4521940Z dynamo/test_unspec 1/1 2025-12-04T09:25:20.4522235Z dynamo/test_higher_order_ops 1/1 2025-12-04T09:25:20.4522566Z inductor/test_mmdecomp 1/1 2025-12-04T09:25:20.4522856Z dynamo/test_ctx_manager 1/1 2025-12-04T09:25:20.4523154Z dynamo/test_exc 1/1 2025-12-04T09:25:20.4523424Z dynamo/test_misc 1/1 2025-12-04T09:25:20.4523814Z inductor/test_aot_inductor_arrayref 1/2 2025-12-04T09:25:20.4524183Z inductor/test_cpu_cpp_wrapper 1/1 2025-12-04T09:25:20.4524562Z inductor/test_torchinductor_strided_blocks 1/1 2025-12-04T09:25:20.4524947Z inductor/test_halide 1/1 2025-12-04T09:25:20.4525235Z inductor/test_pad_mm 1/1 2025-12-04T09:25:20.4525564Z inductor/test_triton_extension_backend 1/1 2025-12-04T09:25:20.4525927Z inductor/test_b2b_gemm 1/1 2025-12-04T09:25:20.4526215Z inductor/test_ck_backend 1/1 2025-12-04T09:25:20.4526542Z inductor/test_gpu_cpp_wrapper 1/1 2025-12-04T09:25:20.4526886Z inductor/test_autoheuristic 1/1 2025-12-04T09:25:20.4527198Z inductor/test_metrics 1/1 2025-12-04T09:25:20.4527512Z inductor/test_selective_lowering 1/1 2025-12-04T09:25:20.4527882Z inductor/test_cooperative_reductions 1/1 2025-12-04T09:25:20.4528248Z inductor/test_move_constructors_to_gpu 1/1 2025-12-04T09:25:20.4528624Z inductor/test_inplace_padding 1/1 2025-12-04T09:25:20.4528960Z inductor/test_triton_wrapper 1/1 2025-12-04T09:25:20.4529286Z inductor/test_quantization 1/1 2025-12-04T09:25:20.4529595Z inductor/test_inplacing_pass 1/1 2025-12-04T09:25:20.4529937Z inductor/test_split_cat_fx_passes 1/1 2025-12-04T09:25:20.4530285Z inductor/test_memory_planning 1/1 2025-12-04T09:25:20.4530610Z inductor/test_aot_inductor_utils 1/1 2025-12-04T09:25:20.4530949Z inductor/test_pallas 1/1 2025-12-04T09:25:20.4531249Z inductor/test_alignment 1/1 2025-12-04T09:25:20.4531562Z inductor/test_custom_partitioner_fn 1/1 2025-12-04T09:25:20.4531924Z dynamo/test_python_dispatcher 1/1 2025-12-04T09:25:20.4532251Z export/test_swap 1/1 2025-12-04T09:25:20.4532520Z export/test_unflatten 1/1 2025-12-04T09:25:20.4532834Z dynamo/test_verify_correctness 1/1 2025-12-04T09:25:20.4533169Z inductor/test_fxir_backend 1/1 2025-12-04T09:25:20.4533471Z inductor/test_caching 1/1 2025-12-04T09:25:20.4534013Z dynamo/test_aot_autograd_cache 1/1 2025-12-04T09:25:20.4534345Z dynamo/test_flat_apply 1/1 2025-12-04T09:25:20.4535020Z dynamo/test_input_attr_tracking 1/1 2025-12-04T09:25:20.4535360Z dynamo/test_graph_deduplication 1/1 2025-12-04T09:25:20.4535704Z dynamo/test_structured_trace 1/1 2025-12-04T09:25:20.4536032Z dynamo/test_error_messages 1/1 2025-12-04T09:25:20.4536342Z dynamo/test_bytecode_utils 1/1 2025-12-04T09:25:20.4536664Z inductor/test_mps_basic 1/1 2025-12-04T09:25:20.4536967Z export/test_nativert 1/1 2025-12-04T09:25:20.4537250Z dynamo/test_tree_map 1/1 2025-12-04T09:25:20.4537545Z dynamo/test_minifier 1/1 2025-12-04T09:25:20.4537852Z dynamo/test_guard_manager 1/1 2025-12-04T09:25:20.4538148Z export/test_schema 1/1 2025-12-04T09:25:20.4538437Z export/test_pass_infra 1/1 2025-12-04T09:25:20.4538750Z dynamo/test_recompile_ux 1/1 2025-12-04T09:25:20.4539054Z export/test_experimental 1/1 2025-12-04T09:25:20.4539377Z export/test_converter 1/1 2025-12-04T09:25:20.4539685Z export/test_export 1/1 2025-12-04T09:25:20.4539984Z test_model_exports_to_core_aten 1/1 2025-12-04T09:25:20.4540321Z dynamo/test_precompile_context 1/1 2025-12-04T09:25:20.4540660Z dynamo/test_trace_rules 1/1 2025-12-04T09:25:20.4540971Z export/test_upgrader 1/1 2025-12-04T09:25:20.4541254Z dynamo/test_hooks 1/1 2025-12-04T09:25:20.4541544Z dynamo/test_reorder_logs 1/1 2025-12-04T09:25:20.4541858Z dynamo/test_subclasses 1/1 2025-12-04T09:25:20.4542146Z dynamo/test_exceptions 1/1 2025-12-04T09:25:20.4542445Z dynamo/test_generator 1/1 2025-12-04T09:25:20.4542749Z export/test_lift_unlift 1/1 2025-12-04T09:25:20.4543037Z export/test_verifier 1/1 2025-12-04T09:25:20.4543328Z export/test_sparse 1/2 2025-12-04T09:25:20.4543624Z dynamo/test_python_autograd 1/1 2025-12-04T09:25:20.4543935Z export/test_draft_export 1/1 2025-12-04T09:25:20.4544307Z dynamo/test_comptime 1/1 2025-12-04T09:25:20.4544604Z functorch/test_rearrange 1/1 2025-12-04T09:25:20.4544916Z functorch/test_parsing 1/1 2025-12-04T09:25:20.4545212Z test_package 1/1 2025-12-04T09:25:20.4545470Z profiler/test_profiler 1/1 2025-12-04T09:25:20.4545767Z test_mkl_verbose 1/1 2025-12-04T09:25:20.4546045Z test_comparison_utils 1/1 2025-12-04T09:25:20.4546337Z functorch/test_ac_logging 1/1 2025-12-04T09:25:20.4546651Z test_mkldnn_verbose 1/1 2025-12-04T09:25:20.4546950Z test_utils_config_module 1/1 2025-12-04T09:25:20.4547250Z test_hop_infra 1/1 2025-12-04T09:25:20.4547518Z test_appending_byte_serializer 1/1 2025-12-04T09:25:20.4547843Z test_license 1/1 2025-12-04T09:25:20.4548109Z test_ao_sparsity 1/1 2025-12-04T09:25:20.4548364Z test_autoload 1/1 2025-12-04T09:25:20.4548645Z nn/attention/test_open_registry 1/1 2025-12-04T09:25:20.4548973Z xpu/test_fusion 1/1 2025-12-04T09:25:20.4549224Z test_as_strided 1/1 2025-12-04T09:25:20.4549490Z test_proxy_tensor 1/1 2025-12-04T09:25:20.4549792Z torch_np/test_binary_ufuncs 1/1 2025-12-04T09:25:20.4550103Z torch_np/test_unary_ufuncs 1/1 2025-12-04T09:25:20.4550419Z test_utils_filelock 1/1 2025-12-04T09:25:20.4550752Z test_rename_privateuse1_to_existing_device 1/1 2025-12-04T09:25:20.4551111Z nn/attention/test_fa4 1/1 2025-12-04T09:25:20.4551427Z typing/test_python_operators 1/1 2025-12-04T09:25:20.4551760Z test_functionalization 1/1 2025-12-04T09:25:20.4552049Z torch_np/test_dtype 1/1 2025-12-04T09:25:20.4552342Z test_file_check 1/1 2025-12-04T09:25:20.4552615Z profiler/test_kineto 1/1 2025-12-04T09:25:20.4552907Z test_flop_counter 1/1 2025-12-04T09:25:20.4553187Z backends/xeon/test_launch 1/1 2025-12-04T09:25:20.4553487Z test_openmp 1/1 2025-12-04T09:25:20.4553741Z test_module_tracker 1/1 2025-12-04T09:25:20.4554067Z torch_np/numpy_tests/core/test_scalarinherit 1/1 2025-12-04T09:25:20.4554451Z test_tensorexpr_pybind 1/1 2025-12-04T09:25:20.4554758Z test_fx_experimental 1/1 2025-12-04T09:25:20.4555430Z functorch/test_ac_knapsack 1/1 2025-12-04T09:25:20.4555762Z torch_np/test_nep50_examples 1/1 2025-12-04T09:25:20.4556082Z xpu/test_gemm 1/1 2025-12-04T09:25:20.4556330Z test_fx_passes 1/1 2025-12-04T09:25:20.4556602Z functorch/test_logging 1/1 2025-12-04T09:25:20.4556901Z test_namedtensor 1/1 2025-12-04T09:25:20.4557172Z functorch/test_minifier 1/1 2025-12-04T09:25:20.4557496Z higher_order_ops/test_invoke_quant 1/1 2025-12-04T09:25:20.4557835Z torch_np/test_basic 1/1 2025-12-04T09:25:20.4558113Z test_native_functions 1/1 2025-12-04T09:25:20.4558397Z test_typing 1/1 2025-12-04T09:25:20.4558667Z higher_order_ops/test_with_effects 1/1 2025-12-04T09:25:20.4558992Z test_weak 1/1 2025-12-04T09:25:20.4559411Z test_complex 1/1 2025-12-04T09:25:20.4559675Z test_optim 1/1 2025-12-04T09:25:20.4559940Z lazy/test_functionalization 1/1 2025-12-04T09:25:20.4560247Z torch_np/test_random 1/1 2025-12-04T09:25:20.4560554Z nn/test_multihead_attention 1/1 2025-12-04T09:25:20.4560872Z test_legacy_vmap 1/1 2025-12-04T09:25:20.4561133Z lazy/test_bindings 1/1 2025-12-04T09:25:20.4561403Z test_pytree 1/1 2025-12-04T09:25:20.4561677Z profiler/test_record_function 1/1 2025-12-04T09:25:20.4562001Z test_compile_benchmark_util 1/1 2025-12-04T09:25:20.4562351Z test_set_default_mobile_cpu_allocator 1/1 2025-12-04T09:25:20.4562699Z test_stateless 1/1 2025-12-04T09:25:20.4562955Z functorch/test_ac 1/1 2025-12-04T09:25:20.4563241Z higher_order_ops/test_print 1/1 2025-12-04T09:25:20.4563568Z test_per_overload_api 1/1 2025-12-04T09:25:20.4563960Z torch_np/numpy_tests/core/test_einsum 1/1 2025-12-04T09:25:20.4564308Z test_out_dtype_op 1/1 2025-12-04T09:25:20.4564600Z torch_np/test_ufuncs_basic 1/1 2025-12-04T09:25:20.4564918Z lazy/test_step_closures 1/1 2025-12-04T09:25:20.4565219Z functorch/dim/test_getsetitem 1/1 2025-12-04T09:25:20.4565551Z test_numpy_interop 1/1 2025-12-04T09:25:20.4565853Z profiler/test_cpp_thread 1/1 2025-12-04T09:25:20.4566154Z test_hub 1/1 2025-12-04T09:25:20.4566405Z test_opaque_obj_v2 1/1 2025-12-04T09:25:20.4566687Z test_type_hints 1/1 2025-12-04T09:25:20.4566989Z functorch/test_aot_joint_with_descriptors 1/1 2025-12-04T09:25:20.4567390Z test_functionalization_of_rng_ops 1/1 2025-12-04T09:25:20.4567742Z test_fx_reinplace_pass 1/1 2025-12-04T09:25:20.4568040Z functorch/test_control_flow 1/1 2025-12-04T09:25:20.4568369Z nn/test_packed_sequence 1/1 2025-12-04T09:25:20.4568671Z test_numa_binding 1/1 2025-12-04T09:25:20.4568939Z test_pruning_op 1/1 2025-12-04T09:25:20.4569213Z test_jit_fuser_te 1/1 2025-12-04T09:25:20.4569492Z test_logging 1/1 2025-12-04T09:25:20.4569759Z nn/test_lazy_modules 1/1 2025-12-04T09:25:20.4570035Z nn/test_pruning 1/1 2025-12-04T09:25:20.4570296Z test_monitor 1/1 2025-12-04T09:25:20.4570559Z test_cuda_sanitizer 1/1 2025-12-04T09:25:20.4570839Z test_bundled_inputs 1/1 2025-12-04T09:25:20.4571172Z torch_np/numpy_tests/core/test_numeric 1/1 2025-12-04T09:25:20.4571568Z torch_np/numpy_tests/core/test_multiarray 1/1 2025-12-04T09:25:20.4571906Z test_itt 1/1 2025-12-04T09:25:20.4572199Z torch_np/numpy_tests/lib/test_function_base 1/1 2025-12-04T09:25:20.4572571Z test_sympy_utils 1/1 2025-12-04T09:25:20.4572826Z test_subclass 1/1 2025-12-04T09:25:20.4573089Z test_import_stats 1/1 2025-12-04T09:25:20.4573392Z functorch/test_vmap_registrations 1/1 2025-12-04T09:25:20.4573724Z nn/test_parametrization 1/1 2025-12-04T09:25:20.4574024Z test_mkldnn_fusion 1/1 2025-12-04T09:25:20.4574308Z lazy/test_ts_opinfo 1/1 2025-12-04T09:25:20.4574578Z test_dynamic_shapes 1/1 2025-12-04T09:25:20.4574885Z complex_tensor/test_complex_tensor 1/1 2025-12-04T09:25:20.4575225Z optim/test_swa_utils 1/1 2025-12-04T09:25:20.4575554Z torch_np/numpy_tests/lib/test_histograms 1/1 2025-12-04T09:25:20.4575905Z torch_np/test_indexing 1/1 2025-12-04T09:25:20.4576430Z test_schema_check 1/1 2025-12-04T09:25:20.4576714Z test_tensorboard 1/1 2025-12-04T09:25:20.4577013Z torch_np/numpy_tests/core/test_indexing 1/1 2025-12-04T09:25:20.4577365Z test_futures 1/1 2025-12-04T09:25:20.4577620Z nn/test_dropout 1/1 2025-12-04T09:25:20.4577886Z functorch/dim/test_split 1/1 2025-12-04T09:25:20.4578229Z torch_np/numpy_tests/lib/test_type_check 1/1 2025-12-04T09:25:20.4591848Z cpp_extensions/test_libtorch_agnostic 1/1 2025-12-04T09:25:20.4592314Z test_jit 1/1 2025-12-04T09:25:20.4592571Z test_datapipe 1/1 2025-12-04T09:25:20.4592864Z test_numba_integration 1/1 2025-12-04T09:25:20.4593165Z test_functional_optim 1/1 2025-12-04T09:25:20.4593474Z test_maskedtensor 1/1 2025-12-04T09:25:20.4593793Z benchmark_utils/test_benchmark_utils 1/1 2025-12-04T09:25:20.4594170Z torch_np/numpy_tests/core/test_scalarmath 1/1 2025-12-04T09:25:20.4594546Z test_scaled_matmul_cuda 1/1 2025-12-04T09:25:20.4594889Z torch_np/numpy_tests/core/test_shape_base 1/1 2025-12-04T09:25:20.4595273Z test_vulkan 1/1 2025-12-04T09:25:20.4595515Z lazy/test_generator 1/1 2025-12-04T09:25:20.4595834Z torch_np/numpy_tests/linalg/test_linalg 1/1 2025-12-04T09:25:20.4596218Z torch_np/numpy_tests/core/test_dtype 1/1 2025-12-04T09:25:20.4596553Z lazy/test_debug_util 1/1 2025-12-04T09:25:20.4596850Z nn/test_load_state_dict 1/1 2025-12-04T09:25:20.4597153Z nn/test_module_hooks 1/1 2025-12-04T09:25:20.4597471Z torch_np/numpy_tests/lib/test_twodim_base 1/1 2025-12-04T09:25:20.4597857Z profiler/test_memory_profiler 1/1 2025-12-04T09:25:20.4598187Z test_jit_llga_fuser 1/1 2025-12-04T09:25:20.4598465Z test_serialization 1/1 2025-12-04T09:25:20.4598752Z optim/test_optim 1/1 2025-12-04T09:25:20.4599065Z torch_np/numpy_tests/fft/test_pocketfft 1/1 2025-12-04T09:25:20.4599444Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 2025-12-04T09:25:20.4599841Z torch_np/numpy_tests/core/test_getlimits 1/1 2025-12-04T09:25:20.4600222Z torch_np/test_ndarray_methods 1/1 2025-12-04T09:25:20.4600541Z test_view_ops 1/1 2025-12-04T09:25:20.4600792Z test_type_info 1/1 2025-12-04T09:25:20.4601069Z functorch/test_aotdispatch 1/1 2025-12-04T09:25:20.4601387Z test_cuda_multigpu 1/1 2025-12-04T09:25:20.4601659Z test_unary_ufuncs 1/1 2025-12-04T09:25:20.4601939Z test_type_promotion 1/1 2025-12-04T09:25:20.4602240Z Name: excluded (est. time: 0.0min) 2025-12-04T09:25:20.4602539Z Serial tests (0): 2025-12-04T09:25:20.4602790Z Parallel tests (0): 2025-12-04T09:25:20.4609902Z Running inductor/test_flex_attention 1/1 ... [2025-12-04 09:25:20.460715][882.607250135] 2025-12-04T09:25:20.4610634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:20.4615220Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.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 09:25:20.461212] 2025-12-04T09:25:33.1614259Z 2025-12-04T09:25:33.1615555Z inductor/test_flex_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.1_be4147f5f08ca711_.log 2025-12-04T09:25:33.1616490Z Running 0 items in this shard: 2025-12-04T09:25:33.1616701Z 2025-12-04T09:25:33.1617039Z Finished inductor/test_flex_attention 1/1 ... [2025-12-04 09:25:33.161381][895.307913218], took 0.21min 2025-12-04T09:25:33.1626721Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-add5c280f72b71e5.xml 2025-12-04T09:25:33.4445257Z Uploading artifacts took 0.11 seconds 2025-12-04T09:25:33.4448999Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:25:33.444666][895.591199044] 2025-12-04T09:25:33.4449568Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:33.4454104Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_privateuseone_python_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:33.445110] 2025-12-04T09:25:37.0845952Z 2025-12-04T09:25:37.0847229Z 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_f5a895cd6e7d4150_.log 2025-12-04T09:25:37.0848199Z Running 0 items in this shard: 2025-12-04T09:25:37.0848417Z 2025-12-04T09:25:37.0848782Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:25:37.084392][899.230925498], took 0.06min 2025-12-04T09:25:37.0856751Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-a1f17bdd4e0a9eb4.xml 2025-12-04T09:25:37.1102029Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:25:37.109963][899.2564979] 2025-12-04T09:25:37.1102539Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:37.1105836Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:37.110321] 2025-12-04T09:25:40.7103123Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:25:40.709828][902.856352611], took 0.06min 2025-12-04T09:25:40.7113899Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-7d7028b53e812719.xml 2025-12-04T09:25:40.8421797Z Uploading logs for 57117865638 to S3 2025-12-04T09:25:40.8664828Z Uploading artifacts took 0.13 seconds 2025-12-04T09:25:40.8665191Z test_ci_sanity_check_fail 1/1 failed! 2025-12-04T09:25:40.8669724Z Running test_overrides 1/1 ... [2025-12-04 09:25:40.866786][903.013319082] 2025-12-04T09:25:40.8670204Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:40.8674739Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:40.867202] 2025-12-04T09:25:44.5217654Z 2025-12-04T09:25:44.5218702Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_e6fd550d1055b0e8_.log 2025-12-04T09:25:44.5219486Z 2025-12-04T09:25:44.5219777Z Finished test_overrides 1/1 ... [2025-12-04 09:25:44.521449][906.667983503], took 0.06min 2025-12-04T09:25:44.5232610Z Running inductor/test_max_autotune 1/1 ... [2025-12-04 09:25:44.523057][906.669592438] 2025-12-04T09:25:44.5233141Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:44.5237518Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_max_autotune.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:44.523449] 2025-12-04T09:25:53.2998144Z 2025-12-04T09:25:53.2999526Z inductor/test_max_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_max_autotune_1.1_3350bc2f39a3434b_.log 2025-12-04T09:25:53.3000332Z 2025-12-04T09:25:53.3000690Z Finished inductor/test_max_autotune 1/1 ... [2025-12-04 09:25:53.299435][915.445966308], took 0.15min 2025-12-04T09:25:53.3017769Z Running doctests 1/1 ... [2025-12-04 09:25:53.301447][915.447976016] 2025-12-04T09:25:53.9010295Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368. 2025-12-04T09:25:53.9012073Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:25:53.9012720Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:25:53.9013134Z 2025-12-04T09:25:53.9013383Z This function only works for a library with global namespace ("_"). 2025-12-04T09:25:53.9013738Z 2025-12-04T09:25:53.9013826Z Args: 2025-12-04T09:25:53.9014295Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:25:53.9014849Z to register a fallthrough. 2025-12-04T09:25:53.9015424Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:25:53.9016075Z the dispatch key that the library was created with. 2025-12-04T09:25:53.9016766Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:25:53.9017651Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:25:53.9018116Z 2025-12-04T09:25:53.9018259Z Example:: 2025-12-04T09:25:53.9018422Z 2025-12-04T09:25:53.9018538Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:25:53.9018916Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:25:53.9019305Z >>> # Handle all autocast ops generically 2025-12-04T09:25:53.9019651Z >>> # ... 2025-12-04T09:25:53.9019972Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:25:53.9020333Z 2025-12-04T09:25:53.9021130Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:25:53.9021933Z 2025-12-04T09:25:53.9022067Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:25:53.9022409Z ^ 2025-12-04T09:25:53.9157468Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958. 2025-12-04T09:25:53.9158419Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:25:53.9159043Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:25:53.9159417Z 2025-12-04T09:25:53.9159607Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:25:53.9159925Z 2025-12-04T09:25:53.9160181Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:25:53.9160805Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:25:53.9161400Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:25:53.9161927Z what the properties of the output Tensors are. 2025-12-04T09:25:53.9162192Z 2025-12-04T09:25:53.9162443Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:25:53.9163056Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:25:53.9163620Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:25:53.9164259Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:25:53.9164813Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:25:53.9165394Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:25:53.9165977Z (and may not directly access the storage or data of any input or 2025-12-04T09:25:53.9166412Z intermediate Tensors). 2025-12-04T09:25:53.9166602Z 2025-12-04T09:25:53.9166769Z This API may be used as a decorator (see examples). 2025-12-04T09:25:53.9167042Z 2025-12-04T09:25:53.9167184Z For a detailed guide on custom ops, please see 2025-12-04T09:25:53.9167728Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:25:53.9168467Z 2025-12-04T09:25:53.9168702Z Args: 2025-12-04T09:25:53.9169057Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:25:53.9169545Z func: Fake tensor implementation. 2025-12-04T09:25:53.9170001Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:25:53.9170548Z allow_override: Flag controlling if we want to override an 2025-12-04T09:25:53.9171034Z existing registered fake impl. This is by default off, 2025-12-04T09:25:53.9171538Z and will error you're trying to register a fake impl to 2025-12-04T09:25:53.9172039Z an operator that already has a fake impl. This also only 2025-12-04T09:25:53.9172505Z applies if the custom operator was not created via 2025-12-04T09:25:53.9173006Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:25:53.9173451Z impl is already allowed. 2025-12-04T09:25:53.9173691Z 2025-12-04T09:25:53.9173809Z Examples: 2025-12-04T09:25:53.9174036Z >>> import torch 2025-12-04T09:25:53.9174315Z >>> import numpy as np 2025-12-04T09:25:53.9174624Z >>> from torch import Tensor 2025-12-04T09:25:53.9174921Z >>> 2025-12-04T09:25:53.9175241Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:25:53.9175829Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:25:53.9176402Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:25:53.9176950Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:25:53.9177357Z >>> 2025-12-04T09:25:53.9177677Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:25:53.9178069Z >>> def _(x, weight, bias): 2025-12-04T09:25:53.9178395Z >>> assert x.dim() == 2 2025-12-04T09:25:53.9178739Z >>> assert weight.dim() == 2 2025-12-04T09:25:53.9179068Z >>> assert bias.dim() == 1 2025-12-04T09:25:53.9179426Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:25:53.9179820Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:25:53.9180192Z >>> assert x.device == weight.device 2025-12-04T09:25:53.9180528Z >>> 2025-12-04T09:25:53.9180782Z >>> return (x @ weight.t()) + bias 2025-12-04T09:25:53.9181092Z >>> 2025-12-04T09:25:53.9181404Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:25:53.9181818Z >>> x = torch.randn(2, 3) 2025-12-04T09:25:53.9182152Z >>> w = torch.randn(3, 3) 2025-12-04T09:25:53.9182495Z >>> b = torch.randn(3) 2025-12-04T09:25:53.9182830Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:25:53.9183187Z >>> 2025-12-04T09:25:53.9183432Z >>> assert y.shape == (2, 3) 2025-12-04T09:25:53.9183746Z >>> 2025-12-04T09:25:53.9184054Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:25:53.9184603Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:25:53.9185103Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:25:53.9185466Z >>> x_np = x.numpy(force=True) 2025-12-04T09:25:53.9185850Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:25:53.9186252Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:25:53.9186595Z >>> 2025-12-04T09:25:53.9186914Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:25:53.9187316Z >>> def _(x): 2025-12-04T09:25:53.9187638Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:25:53.9188074Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:25:53.9188524Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:25:53.9189185Z >>> # represents the data-dependent size. 2025-12-04T09:25:53.9189549Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:25:53.9189911Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:25:53.9190258Z >>> shape = [nnz, x.dim()] 2025-12-04T09:25:53.9190617Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:25:53.9190998Z >>> return result 2025-12-04T09:25:53.9191274Z >>> 2025-12-04T09:25:53.9191591Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:25:53.9191969Z >>> 2025-12-04T09:25:53.9192215Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:25:53.9192700Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:25:53.9193188Z >>> trace.print_readable() 2025-12-04T09:25:53.9193484Z >>> 2025-12-04T09:25:53.9193844Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:25:53.9194200Z 2025-12-04T09:25:53.9194286Z 2025-12-04T09:25:53.9194961Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:25:53.9195648Z 2025-12-04T09:25:53.9195734Z _._ = None 2025-12-04T09:25:53.9195942Z ^ 2025-12-04T09:25:53.9301933Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530. 2025-12-04T09:25:53.9302819Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:25:53.9303420Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:25:53.9303760Z 2025-12-04T09:25:53.9304012Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:25:53.9304595Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:25:53.9305167Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:25:53.9305730Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:25:53.9306290Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:25:53.9306818Z that calls into the original kernel for certain cases. 2025-12-04T09:25:53.9307116Z 2025-12-04T09:25:53.9307199Z Args: 2025-12-04T09:25:53.9307533Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:25:53.9308117Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:25:53.9308750Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:25:53.9309350Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:25:53.9309668Z 2025-12-04T09:25:53.9309777Z Returns: 2025-12-04T09:25:53.9310153Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:25:53.9310640Z call the kernel. 2025-12-04T09:25:53.9310821Z 2025-12-04T09:25:53.9310920Z Raises: 2025-12-04T09:25:53.9311182Z RuntimeError: If the operator does not exist. 2025-12-04T09:25:53.9311453Z 2025-12-04T09:25:53.9311539Z Example: 2025-12-04T09:25:53.9311791Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:25:53.9312227Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:25:53.9312622Z >>> 2025-12-04T09:25:53.9312871Z >>> # You can also use DispatchKey enum 2025-12-04T09:25:53.9313380Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:25:53.9313849Z >>> 2025-12-04T09:25:53.9314087Z >>> # Or use an OpOverload directly 2025-12-04T09:25:53.9314550Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:25:53.9314999Z >>> 2025-12-04T09:25:53.9315334Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:25:53.9316136Z >>> # Get the original kernel for torch.sin 2025-12-04T09:25:53.9316614Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:25:53.9317040Z >>> 2025-12-04T09:25:53.9317401Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:25:53.9317914Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:25:53.9318267Z >>> if (x < 0).any(): 2025-12-04T09:25:53.9318656Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:25:53.9319068Z >>> else: 2025-12-04T09:25:53.9319344Z >>> return torch.zeros_like(x) 2025-12-04T09:25:53.9319654Z >>> 2025-12-04T09:25:53.9319922Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:25:53.9320459Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:25:53.9321055Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:25:53.9321581Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:25:53.9322000Z >>> 2025-12-04T09:25:53.9322231Z >>> # Test the conditional behavior 2025-12-04T09:25:53.9322589Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:25:53.9322951Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:25:53.9323299Z >>> torch.sin(x_positive) 2025-12-04T09:25:53.9323594Z tensor([0., 0.]) 2025-12-04T09:25:53.9323962Z >>> torch.sin(x_mixed) 2025-12-04T09:25:53.9324259Z tensor([-0.8415, 0.9093]) 2025-12-04T09:25:53.9324533Z 2025-12-04T09:25:53.9325163Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:25:53.9325791Z 2025-12-04T09:25:53.9325991Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:25:53.9326387Z ^ 2025-12-04T09:25:54.2888052Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T09:25:54.2889025Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:25:54.2889690Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:25:54.2890310Z required drivers are available and at least one device is visible. 2025-12-04T09:25:54.2890817Z See :ref:`accelerator` for details. 2025-12-04T09:25:54.2891085Z 2025-12-04T09:25:54.2891189Z Returns: 2025-12-04T09:25:54.2891610Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:25:54.2892039Z 2025-12-04T09:25:54.2892336Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:25:54.2893034Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:25:54.2893700Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:25:54.2894242Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:25:54.2894514Z 2025-12-04T09:25:54.2894608Z Example:: 2025-12-04T09:25:54.2894742Z 2025-12-04T09:25:54.2895034Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:25:54.2895519Z 2025-12-04T09:25:54.2896233Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:25:54.2896951Z 2025-12-04T09:25:54.2897220Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:25:54.2897721Z ^ 2025-12-04T09:25:54.2921404Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:25:54.2922467Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:25:54.2923066Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:25:54.2923397Z 2025-12-04T09:25:54.2923497Z Args: 2025-12-04T09:25:54.2924017Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:25:54.2924716Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:25:54.2925287Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:25:54.2925612Z 2025-12-04T09:25:54.2925963Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:25:54.2926410Z 2025-12-04T09:25:54.2926502Z Example:: 2025-12-04T09:25:54.2926646Z 2025-12-04T09:25:54.2926800Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:25:54.2927361Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:25:54.2927919Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:25:54.2928311Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:25:54.2928688Z >>> start_event.record() 2025-12-04T09:25:54.2929142Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:25:54.2929615Z >>> sum = torch.sum(tensor) 2025-12-04T09:25:54.2929939Z >>> end_event.record() 2025-12-04T09:25:54.2930263Z >>> torch.accelerator.synchronize() 2025-12-04T09:25:54.2930669Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:25:54.2931055Z 2025-12-04T09:25:54.2931760Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:25:54.2932471Z 2025-12-04T09:25:54.2932755Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:25:54.2933243Z ^ 2025-12-04T09:25:54.5178122Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:25:54.5179086Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:25:54.5179605Z Retrieves the CUDA runtime API module. 2025-12-04T09:25:54.5179836Z 2025-12-04T09:25:54.5179842Z 2025-12-04T09:25:54.5180120Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:25:54.5180739Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:25:54.5181338Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:25:54.5181696Z 2025-12-04T09:25:54.5181796Z Args: 2025-12-04T09:25:54.5182002Z ``None`` 2025-12-04T09:25:54.5182182Z 2025-12-04T09:25:54.5182282Z Returns: 2025-12-04T09:25:54.5182560Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:25:54.5182821Z 2025-12-04T09:25:54.5182910Z Raises: 2025-12-04T09:25:54.5183278Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:25:54.5184023Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:25:54.5184525Z 2025-12-04T09:25:54.5184675Z Example of CUDA operations with profiling: 2025-12-04T09:25:54.5185014Z >>> import torch 2025-12-04T09:25:54.5185327Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:25:54.5185676Z >>> import os 2025-12-04T09:25:54.5185906Z >>> 2025-12-04T09:25:54.5186147Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:25:54.5186469Z >>> 2025-12-04T09:25:54.5186721Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:25:54.5187544Z >>> stream = torch.cuda.Stream() 2025-12-04T09:25:54.5187906Z >>> with torch.cuda.stream(stream): 2025-12-04T09:25:54.5188281Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:25:54.5188650Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:25:54.5189011Z >>> z = torch.mul(x, y) 2025-12-04T09:25:54.5189330Z >>> return z 2025-12-04T09:25:54.5189568Z >>> 2025-12-04T09:25:54.5189802Z >>> torch.cuda.synchronize() 2025-12-04T09:25:54.5190152Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:25:54.5190537Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:25:54.5190942Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:25:54.5191360Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:25:54.5191770Z >>> print("CUDA operations completed.") 2025-12-04T09:25:54.5192179Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:25:54.5192612Z >>> print("====== End nsys profiling ======") 2025-12-04T09:25:54.5192857Z 2025-12-04T09:25:54.5193077Z To run this example and save the profiling information, execute: 2025-12-04T09:25:54.5193787Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:25:54.5194295Z 2025-12-04T09:25:54.5194547Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:25:54.5195137Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:25:54.5195720Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:25:54.5196230Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:25:54.5196736Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:25:54.5197230Z CSV file and print a summary, respectively. 2025-12-04T09:25:54.5197737Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:25:54.5198288Z overwrite of the output file if it already exists. 2025-12-04T09:25:54.5198649Z 2025-12-04T09:25:54.5199451Z 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)) 2025-12-04T09:25:54.5200251Z 2025-12-04T09:25:54.5200611Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:25:54.5201186Z ^ 2025-12-04T09:25:56.2217592Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:25:56.2218570Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:25:56.2218951Z 2025-12-04T09:25:56.2219177Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:25:56.2219791Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:25:56.2220354Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:25:56.2220824Z vectorizing those operations. 2025-12-04T09:25:56.2221023Z 2025-12-04T09:25:56.2221243Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:25:56.2221803Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:25:56.2222363Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:25:56.2222883Z compute batched gradients when composed with autograd. 2025-12-04T09:25:56.2223167Z 2025-12-04T09:25:56.2223297Z .. note:: 2025-12-04T09:25:56.2223618Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:25:56.2224063Z convenience. Use whichever one you'd like. 2025-12-04T09:25:56.2224308Z 2025-12-04T09:25:56.2224389Z Args: 2025-12-04T09:25:56.2224733Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:25:56.2225603Z Must return one or more Tensors. 2025-12-04T09:25:56.2226029Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:25:56.2226546Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:25:56.2227048Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:25:56.2227564Z input is None, then that indicates there is no map dimension. 2025-12-04T09:25:56.2227967Z Default: 0. 2025-12-04T09:25:56.2228319Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:25:56.2228848Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:25:56.2229316Z it should have one element per output. Default: 0. 2025-12-04T09:25:56.2229782Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:25:56.2230314Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:25:56.2230875Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:25:56.2231421Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:25:56.2231990Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:25:56.2232543Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:25:56.2233008Z Python's random module or numpy randomness. 2025-12-04T09:25:56.2233501Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:25:56.2234095Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:25:56.2235038Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:25:56.2235709Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:25:56.2236130Z 2025-12-04T09:25:56.2236218Z Returns: 2025-12-04T09:25:56.2236564Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:25:56.2237066Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:25:56.2237581Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:25:56.2238092Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:25:56.2238523Z specified by ``out_dims``. 2025-12-04T09:25:56.2238714Z 2025-12-04T09:25:56.2238801Z .. warning: 2025-12-04T09:25:56.2239137Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:25:56.2239664Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:25:56.2240211Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:25:56.2240812Z Python data structures and assigning values to variables not captured 2025-12-04T09:25:56.2241261Z in ``func``. 2025-12-04T09:25:56.2241399Z 2025-12-04T09:25:56.2241656Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:25:56.2242247Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:25:56.2242821Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:25:56.2243166Z 2025-12-04T09:25:56.2243300Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:25:56.2243798Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:25:56.2244271Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:25:56.2244621Z >>> batched_dot(x, y) 2025-12-04T09:25:56.2244794Z 2025-12-04T09:25:56.2245043Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:25:56.2245505Z model authoring experience. 2025-12-04T09:25:56.2245706Z 2025-12-04T09:25:56.2245815Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:25:56.2246221Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:25:56.2246597Z >>> 2025-12-04T09:25:56.2247118Z >>> def model(feature_vec): 2025-12-04T09:25:56.2247444Z >>> # Very simple linear model with activation 2025-12-04T09:25:56.2247820Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:25:56.2248151Z >>> 2025-12-04T09:25:56.2248424Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:25:56.2248820Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:25:56.2249051Z 2025-12-04T09:25:56.2249308Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:25:56.2249938Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:25:56.2250722Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:25:56.2251316Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:25:56.2251941Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:25:56.2252594Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:25:56.2253081Z call to ``autograd.grad``. 2025-12-04T09:25:56.2253262Z 2025-12-04T09:25:56.2253355Z >>> # Setup 2025-12-04T09:25:56.2253585Z >>> N = 5 2025-12-04T09:25:56.2253814Z >>> f = lambda x: x**2 2025-12-04T09:25:56.2254106Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:25:56.2254436Z >>> y = f(x) 2025-12-04T09:25:56.2254677Z >>> I_N = torch.eye(N) 2025-12-04T09:25:56.2254927Z >>> 2025-12-04T09:25:56.2255149Z >>> # Sequential approach 2025-12-04T09:25:56.2255567Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:25:56.2256020Z >>> for v in I_N.unbind()] 2025-12-04T09:25:56.2256376Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:25:56.2256702Z >>> 2025-12-04T09:25:56.2256945Z >>> # vectorized gradient computation 2025-12-04T09:25:56.2257265Z >>> def get_vjp(v): 2025-12-04T09:25:56.2257561Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:25:56.2257939Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:25:56.2258168Z 2025-12-04T09:25:56.2258439Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:25:56.2258853Z 2025-12-04T09:25:56.2258961Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:25:56.2259279Z >>> batched_dot = torch.vmap( 2025-12-04T09:25:56.2259583Z ... torch.vmap(torch.dot) 2025-12-04T09:25:56.2259907Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:25:56.2260284Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:25:56.2260675Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:25:56.2260917Z 2025-12-04T09:25:56.2261163Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:25:56.2261701Z the dimension that each inputs are batched along as 2025-12-04T09:25:56.2261977Z 2025-12-04T09:25:56.2262094Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:25:56.2262532Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:25:56.2263020Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:25:56.2263363Z >>> batched_dot( 2025-12-04T09:25:56.2263608Z ... x, y 2025-12-04T09:25:56.2263940Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:25:56.2264275Z 2025-12-04T09:25:56.2264545Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:25:56.2265151Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:25:56.2265476Z 2025-12-04T09:25:56.2265579Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:25:56.2266026Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:25:56.2266523Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:25:56.2266855Z >>> batched_dot( 2025-12-04T09:25:56.2267087Z ... x, y 2025-12-04T09:25:56.2268252Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:25:56.2268579Z 2025-12-04T09:25:56.2268836Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:25:56.2269307Z matching the shape of the input: 2025-12-04T09:25:56.2269525Z 2025-12-04T09:25:56.2269669Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:25:56.2270057Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:25:56.2270401Z >>> input = {"x": x, "y": y} 2025-12-04T09:25:56.2270769Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:25:56.2271180Z >>> batched_dot(input) 2025-12-04T09:25:56.2271355Z 2025-12-04T09:25:56.2271653Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:25:56.2272189Z along any dimension by using ``out_dims`` 2025-12-04T09:25:56.2272435Z 2025-12-04T09:25:56.2272535Z >>> f = lambda x: x**2 2025-12-04T09:25:56.2272824Z >>> x = torch.randn(2, 5) 2025-12-04T09:25:56.2273147Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:25:56.2273489Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:25:56.2273692Z 2025-12-04T09:25:56.2273990Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:25:56.2274515Z accept kwargs 2025-12-04T09:25:56.2274650Z 2025-12-04T09:25:56.2274749Z >>> x = torch.randn([2, 5]) 2025-12-04T09:25:56.2275042Z >>> def fn(x, scale=4.): 2025-12-04T09:25:56.2275330Z >>> return x * scale 2025-12-04T09:25:56.2275579Z >>> 2025-12-04T09:25:56.2275810Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:25:56.2276177Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:25:56.2276660Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:25:56.2277031Z 2025-12-04T09:25:56.2277137Z .. note:: 2025-12-04T09:25:56.2277493Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:25:56.2277962Z sequences out of the box. 2025-12-04T09:25:56.2278151Z 2025-12-04T09:25:56.2278699Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:25:56.2279378Z 2025-12-04T09:25:56.2279465Z _._ = None 2025-12-04T09:25:56.2279677Z ^ 2025-12-04T09:25:56.2280333Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:25:56.2281214Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:25:56.2281833Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:25:56.2282413Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:25:56.2282865Z compute higher-order gradients. 2025-12-04T09:25:56.2283082Z 2025-12-04T09:25:56.2283167Z Args: 2025-12-04T09:25:56.2283520Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:25:56.2284233Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:25:56.2284915Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:25:56.2285418Z ``(output, aux)``. 2025-12-04T09:25:56.2285896Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:25:56.2286518Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:25:56.2287069Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:25:56.2287593Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:25:56.2287890Z 2025-12-04T09:25:56.2287975Z Returns: 2025-12-04T09:25:56.2288406Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:25:56.2289224Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:25:56.2289878Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:25:56.2290545Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:25:56.2291075Z respect to each ``argnums`` value is returned. 2025-12-04T09:25:56.2291351Z 2025-12-04T09:25:56.2291459Z Example of using ``grad``: 2025-12-04T09:25:56.2291662Z 2025-12-04T09:25:56.2291761Z >>> # xdoctest: +SKIP 2025-12-04T09:25:56.2292063Z >>> from torch.func import grad 2025-12-04T09:25:56.2292379Z >>> x = torch.randn([]) 2025-12-04T09:25:56.2292706Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:25:56.2293084Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:25:56.2293406Z >>> 2025-12-04T09:25:56.2293642Z >>> # Second-order gradients 2025-12-04T09:25:56.2294015Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:25:56.2294425Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:25:56.2294690Z 2025-12-04T09:25:56.2294950Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:25:56.2295345Z 2025-12-04T09:25:56.2295444Z >>> # xdoctest: +SKIP 2025-12-04T09:25:56.2295757Z >>> from torch.func import grad, vmap 2025-12-04T09:25:56.2296101Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:25:56.2296418Z >>> 2025-12-04T09:25:56.2296662Z >>> def model(weights, feature_vec): 2025-12-04T09:25:56.2297019Z >>> # Very simple linear model with activation 2025-12-04T09:25:56.2297389Z >>> assert feature_vec.dim() == 1 2025-12-04T09:25:56.2297752Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:25:56.2298091Z >>> 2025-12-04T09:25:56.2298343Z >>> def compute_loss(weights, example, target): 2025-12-04T09:25:56.2298724Z >>> y = model(weights, example) 2025-12-04T09:25:56.2299094Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:25:56.2299427Z >>> 2025-12-04T09:25:56.2299753Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:25:56.2300201Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:25:56.2300603Z >>> targets = torch.randn(batch_size) 2025-12-04T09:25:56.2300969Z >>> inputs = (weights, examples, targets) 2025-12-04T09:25:56.2301445Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:25:56.2301913Z ... *inputs 2025-12-04T09:25:56.2302165Z ... ) 2025-12-04T09:25:56.2302297Z 2025-12-04T09:25:56.2302491Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:25:56.2302794Z 2025-12-04T09:25:56.2302893Z >>> # xdoctest: +SKIP 2025-12-04T09:25:56.2303200Z >>> from torch.func import grad 2025-12-04T09:25:56.2303553Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:25:56.2303902Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:25:56.2304283Z >>> loss = loss_per_sample.mean() 2025-12-04T09:25:56.2304657Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:25:56.2304981Z >>> 2025-12-04T09:25:56.2305268Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:25:56.2305659Z >>> y_true = torch.rand(4) 2025-12-04T09:25:56.2306003Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:25:56.2306361Z >>> out = fn(y_true, y_preds) 2025-12-04T09:25:56.2306837Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:25:56.2307214Z 2025-12-04T09:25:56.2307332Z .. note:: 2025-12-04T09:25:56.2307639Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:25:56.2307941Z 2025-12-04T09:25:56.2308284Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:25:56.2308566Z 2025-12-04T09:25:56.2308669Z >>> # xdoctest: +SKIP 2025-12-04T09:25:56.2308970Z >>> def f(x): 2025-12-04T09:25:56.2309236Z >>> with torch.no_grad(): 2025-12-04T09:25:56.2309556Z >>> c = x ** 2 2025-12-04T09:25:56.2309859Z >>> return x - c 2025-12-04T09:25:56.2310049Z 2025-12-04T09:25:56.2310248Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:25:56.2310584Z 2025-12-04T09:25:56.2310772Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:25:56.2311099Z 2025-12-04T09:25:56.2311197Z >>> # xdoctest: +SKIP 2025-12-04T09:25:56.2311511Z >>> with torch.no_grad(): 2025-12-04T09:25:56.2311809Z >>> grad(f)(x) 2025-12-04T09:25:56.2312004Z 2025-12-04T09:25:56.2312230Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:25:56.2312825Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:25:56.2313397Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:25:56.2313763Z 2025-12-04T09:25:56.2313849Z 2025-12-04T09:25:56.2314511Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:25:56.2315176Z 2025-12-04T09:25:56.2315269Z _._ = None 2025-12-04T09:25:56.2328214Z ^ 2025-12-04T09:25:59.8880337Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T09:25:59.8881429Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:25:59.8882009Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:25:59.8882311Z 2025-12-04T09:25:59.8882624Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:25:59.8883009Z 2025-12-04T09:25:59.8883238Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:25:59.8883886Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:25:59.8884412Z Given some input Tensors with certain properties 2025-12-04T09:25:59.8884958Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:25:59.8885449Z the output Tensors are. 2025-12-04T09:25:59.8885660Z 2025-12-04T09:25:59.8885869Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:25:59.8886200Z 2025-12-04T09:25:59.8886299Z Args: 2025-12-04T09:25:59.8886603Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:25:59.8887012Z implementation. 2025-12-04T09:25:59.8887201Z 2025-12-04T09:25:59.8887300Z Examples: 2025-12-04T09:25:59.8887561Z >>> import torch 2025-12-04T09:25:59.8887840Z >>> import numpy as np 2025-12-04T09:25:59.8888159Z >>> from torch import Tensor 2025-12-04T09:25:59.8888470Z >>> 2025-12-04T09:25:59.8888793Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:25:59.8889349Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:25:59.8889875Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:25:59.8890312Z >>> return (x @ weight.t()) + bias 2025-12-04T09:25:59.8890645Z >>> 2025-12-04T09:25:59.8890899Z >>> @linear.register_fake 2025-12-04T09:25:59.8891231Z >>> def _(x, weight, bias): 2025-12-04T09:25:59.8891547Z >>> assert x.dim() == 2 2025-12-04T09:25:59.8891883Z >>> assert weight.dim() == 2 2025-12-04T09:25:59.8892227Z >>> assert bias.dim() == 1 2025-12-04T09:25:59.8893041Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:25:59.8893439Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:25:59.8893828Z >>> assert x.device == weight.device 2025-12-04T09:25:59.8894218Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:25:59.8894584Z >>> 2025-12-04T09:25:59.8894831Z >>> x = torch.randn(2, 2) 2025-12-04T09:25:59.8895150Z >>> weight = torch.randn(2, 2) 2025-12-04T09:25:59.8895487Z >>> bias = torch.randn(2) 2025-12-04T09:25:59.8895844Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:25:59.8896305Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:25:59.8896757Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:25:59.8897273Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:25:59.8897757Z >>> 2025-12-04T09:25:59.8898069Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:25:59.8898587Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:25:59.8899042Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:25:59.8899396Z >>> x_np = x.cpu().numpy() 2025-12-04T09:25:59.8899747Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:25:59.8900149Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:25:59.8900504Z >>> 2025-12-04T09:25:59.8900743Z >>> @nonzero.register_fake 2025-12-04T09:25:59.8901062Z >>> def _(x): 2025-12-04T09:25:59.8901391Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:25:59.8901832Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:25:59.8902297Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:25:59.8902732Z >>> # represents the data-dependent size. 2025-12-04T09:25:59.8903113Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:25:59.8903469Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:25:59.8903818Z >>> shape = [nnz, x.dim()] 2025-12-04T09:25:59.8904202Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:25:59.8904567Z >>> return result 2025-12-04T09:25:59.8904849Z >>> 2025-12-04T09:25:59.8905112Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:25:59.8905479Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:25:59.8905894Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:25:59.8906309Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:25:59.8906706Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:25:59.8906951Z 2025-12-04T09:25:59.8907042Z 2025-12-04T09:25:59.8907729Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:25:59.8908406Z 2025-12-04T09:25:59.8908508Z _._ = None 2025-12-04T09:25:59.8908710Z ^ 2025-12-04T09:25:59.9116040Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T09:25:59.9117119Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:25:59.9117517Z 2025-12-04T09:25:59.9117771Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:25:59.9118395Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:25:59.9118773Z 2025-12-04T09:25:59.9118991Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:25:59.9119860Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:25:59.9120557Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:25:59.9121128Z information we will match a given input to the recorded profile, and return 2025-12-04T09:25:59.9121737Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:25:59.9122246Z doesn't exist then an exception will be thrown. 2025-12-04T09:25:59.9122504Z 2025-12-04T09:25:59.9122753Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:25:59.9123344Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:25:59.9124047Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:25:59.9124700Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:25:59.9125334Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:25:59.9125952Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:25:59.9126541Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:25:59.9126992Z potentially unsafe. 2025-12-04T09:25:59.9127145Z 2025-12-04T09:25:59.9127227Z Args: 2025-12-04T09:25:59.9127573Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:25:59.9128137Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:25:59.9128549Z kernels. 2025-12-04T09:25:59.9128701Z 2025-12-04T09:25:59.9128789Z Examples: 2025-12-04T09:25:59.9128925Z 2025-12-04T09:25:59.9129101Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:25:59.9129494Z >>> import torch 2025-12-04T09:25:59.9129808Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:25:59.9130190Z >>> 2025-12-04T09:25:59.9130533Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:25:59.9130956Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:25:59.9131318Z >>> return x + y 2025-12-04T09:25:59.9131579Z >>> 2025-12-04T09:25:59.9131797Z >>> class M(torch.nn.Module): 2025-12-04T09:25:59.9132114Z >>> def forward(self, a, b): 2025-12-04T09:25:59.9132480Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:25:59.9132849Z >>> return res 2025-12-04T09:25:59.9133095Z >>> 2025-12-04T09:25:59.9133392Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:25:59.9133779Z >>> 2025-12-04T09:25:59.9134196Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:25:59.9135074Z >>> decomp = ep.run_decompositions() 2025-12-04T09:25:59.9135308Z 2025-12-04T09:25:59.9135312Z 2025-12-04T09:25:59.9135827Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:25:59.9136445Z 2025-12-04T09:26:00.5895115Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T09:26:00.5896407Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:00.5896789Z 2025-12-04T09:26:00.5897064Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:26:00.5897704Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:26:00.5898332Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:26:00.5898820Z input by the user. 2025-12-04T09:26:00.5899195Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:26:00.5899716Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:26:00.5899995Z 2025-12-04T09:26:00.5900131Z Note:: 2025-12-04T09:26:00.5900863Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:26:00.5901467Z 2025-12-04T09:26:00.5901553Z Args: 2025-12-04T09:26:00.5901815Z model (nn.Module): 2025-12-04T09:26:00.5902217Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:26:00.5902839Z sparsified should be added separately using the register_layer() function 2025-12-04T09:26:00.5903325Z aggregate_fn (Optional, Callable): 2025-12-04T09:26:00.5903819Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:26:00.5904394Z specifies how inputs should be aggregated over time. 2025-12-04T09:26:00.5904971Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:26:00.5905489Z Example 2025-12-04T09:26:00.5905819Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:26:00.5906246Z reduce_fn (Optional, Callable): 2025-12-04T09:26:00.5906731Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:26:00.5907382Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:26:00.5907897Z calling agg_fn() on all inputs. 2025-12-04T09:26:00.5908220Z Example 2025-12-04T09:26:00.5908591Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:26:00.5909043Z mask_fn (Optional, Callable): 2025-12-04T09:26:00.5909601Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:26:00.5910308Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:26:00.5910805Z register_layer(). 2025-12-04T09:26:00.5911375Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:26:00.5911964Z arguments. 2025-12-04T09:26:00.5912251Z features (Optional, list): 2025-12-04T09:26:00.5912607Z default selected features to sparsify. 2025-12-04T09:26:00.5913141Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:26:00.5913632Z For example, 2025-12-04T09:26:00.5914084Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:26:00.5914600Z feature_dim (Optional, int): 2025-12-04T09:26:00.5915103Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:26:00.5915628Z for sparsification. 2025-12-04T09:26:00.5915953Z sparse_config (Dict): 2025-12-04T09:26:00.5916371Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:26:00.5916852Z with the mask_fn() 2025-12-04T09:26:00.5917063Z 2025-12-04T09:26:00.5917164Z Example: 2025-12-04T09:26:00.5917378Z >>> # xdoctest: +SKIP 2025-12-04T09:26:00.5917664Z >>> model = SomeModel() 2025-12-04T09:26:00.5918105Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:26:00.5918600Z >>> # Initialize aggregate_fn 2025-12-04T09:26:00.5918896Z >>> def agg_fn(x, y): 2025-12-04T09:26:00.5919170Z >>> return x + y 2025-12-04T09:26:00.5919430Z >>> 2025-12-04T09:26:00.5919648Z >>> # Initialize reduce_fn 2025-12-04T09:26:00.5919946Z >>> def reduce_fn(x): 2025-12-04T09:26:00.5920236Z >>> return torch.mean(x, dim=0) 2025-12-04T09:26:00.5920537Z >>> 2025-12-04T09:26:00.5920758Z >>> # Initialize mask_fn 2025-12-04T09:26:00.5921049Z >>> def mask_fn(data): 2025-12-04T09:26:00.5921365Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:26:00.5921725Z >>> 2025-12-04T09:26:00.5921935Z >>> 2025-12-04T09:26:00.5922358Z >>> act_sparsifier.register_layer( 2025-12-04T09:26:00.5922692Z ... model.some_layer, 2025-12-04T09:26:00.5922991Z ... aggregate_fn=agg_fn, 2025-12-04T09:26:00.5923276Z ... reduce_fn=reduce_fn, 2025-12-04T09:26:00.5923569Z ... mask_fn=mask_fn, 2025-12-04T09:26:00.5923921Z ... ) 2025-12-04T09:26:00.5924114Z >>> 2025-12-04T09:26:00.5924336Z >>> # start training process 2025-12-04T09:26:00.5924626Z >>> for _ in [...]: 2025-12-04T09:26:00.5924869Z >>> # epoch starts 2025-12-04T09:26:00.5925211Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:26:00.5925611Z >>> # epoch ends 2025-12-04T09:26:00.5925879Z >>> act_sparsifier.step() 2025-12-04T09:26:00.5926178Z >>> # end training process 2025-12-04T09:26:00.5926485Z >>> sparsifier.squash_mask() 2025-12-04T09:26:00.5926685Z 2025-12-04T09:26:00.5927232Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:26:00.5927876Z 2025-12-04T09:26:00.5927962Z _._ = None 2025-12-04T09:26:00.5928177Z ^ 2025-12-04T09:26:01.5756105Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T09:26:01.5757194Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:01.5757591Z 2025-12-04T09:26:01.5757874Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:26:01.5758573Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:26:01.5759066Z ``mesh_dim_names`` 2025-12-04T09:26:01.5759227Z 2025-12-04T09:26:01.5759309Z Args: 2025-12-04T09:26:01.5759679Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:26:01.5760249Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:26:01.5760671Z Returns: 2025-12-04T09:26:01.5760919Z A :class:`DeviceMesh` object 2025-12-04T09:26:01.5761117Z 2025-12-04T09:26:01.5761424Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:26:01.5761935Z In the first example: 2025-12-04T09:26:01.5762360Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:26:01.5763002Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:26:01.5763621Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:26:01.5764259Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:26:01.5764844Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:26:01.5765433Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:26:01.5765792Z 2025-12-04T09:26:01.5765911Z In the second example: 2025-12-04T09:26:01.5766345Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:26:01.5767021Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:26:01.5767690Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:26:01.5768346Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:26:01.5768752Z 2025-12-04T09:26:01.5768874Z Example:: 2025-12-04T09:26:01.5769011Z 2025-12-04T09:26:01.5769117Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:26:01.5769513Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:26:01.5769882Z >>> 2025-12-04T09:26:01.5770212Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:26:01.5770995Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:26:01.5771624Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:26:01.5772120Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:26:01.5772417Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:26:01.5772679Z >>> 2025-12-04T09:26:01.5772899Z >>> # Initialize a 3D mesh. 2025-12-04T09:26:01.5773377Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:26:01.5774107Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:26:01.5774654Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:26:01.5774993Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:26:01.5775211Z 2025-12-04T09:26:01.5775935Z 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)) 2025-12-04T09:26:01.5776766Z 2025-12-04T09:26:01.5777031Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:26:01.5777527Z ^ 2025-12-04T09:26:02.1752179Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T09:26:02.1753271Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:02.1753673Z 2025-12-04T09:26:02.1753976Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:26:02.1754419Z 2025-12-04T09:26:02.1754756Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:26:02.1755204Z 2025-12-04T09:26:02.1755492Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:26:02.1756078Z will be visible to the whole process. 2025-12-04T09:26:02.1756300Z 2025-12-04T09:26:02.1756587Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:26:02.1757020Z 2025-12-04T09:26:02.1757145Z 1) set_up_planner - called on all ranks. 2025-12-04T09:26:02.1757509Z Signals the start of a checkpoint save. 2025-12-04T09:26:02.1757744Z 2025-12-04T09:26:02.1757880Z 2) create_local_plan - called on all ranks. 2025-12-04T09:26:02.1758404Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:26:02.1758836Z 2025-12-04T09:26:02.1759021Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:26:02.1759540Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:26:02.1759866Z 2025-12-04T09:26:02.1759996Z 4) finish_plan - called on all ranks. 2025-12-04T09:26:02.1760430Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:26:02.1760799Z 2025-12-04T09:26:02.1760961Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:26:02.1761446Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:26:02.1761777Z 2025-12-04T09:26:02.1762088Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:26:02.1762720Z most changes can be expressed by changes in a single method. 2025-12-04T09:26:02.1763038Z 2025-12-04T09:26:02.1763161Z There are 3 usual patterns of extension: 2025-12-04T09:26:02.1763391Z 2025-12-04T09:26:02.1763731Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:26:02.1764350Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:26:02.1764714Z 2025-12-04T09:26:02.1764827Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:26:02.1765190Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:26:02.1765542Z >>> def set_up_planner( 2025-12-04T09:26:02.1766144Z >>> self, 2025-12-04T09:26:02.1766513Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:26:02.1766872Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:26:02.1767215Z >>> is_coordinator: bool, 2025-12-04T09:26:02.1767516Z >>> ) -> None: 2025-12-04T09:26:02.1767777Z >>> # prefix all keys with `foo_`` 2025-12-04T09:26:02.1768285Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:26:02.1768722Z 2025-12-04T09:26:02.1769064Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:26:02.1769545Z 2025-12-04T09:26:02.1769661Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:26:02.1770017Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:26:02.1770356Z >>> def create_local_plan(self): 2025-12-04T09:26:02.1770695Z >>> plan = super().create_local_plan() 2025-12-04T09:26:02.1771036Z >>> for p in plan: 2025-12-04T09:26:02.1771461Z >>> if p.tensor_data is not None: 2025-12-04T09:26:02.1772079Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:26:02.1772470Z >>> return plan 2025-12-04T09:26:02.1772711Z >>> 2025-12-04T09:26:02.1773131Z >>> def resolve_data(self, write_item): 2025-12-04T09:26:02.1773706Z >>> item = super().resolve_data(write_item) 2025-12-04T09:26:02.1774624Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:26:02.1775033Z 2025-12-04T09:26:02.1775392Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:26:02.1775890Z 2025-12-04T09:26:02.1776003Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:26:02.1776351Z >>> from itertools import zip_longest 2025-12-04T09:26:02.1776673Z >>> from dataclasses import replace 2025-12-04T09:26:02.1777064Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:26:02.1777649Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:26:02.1778197Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:26:02.1778563Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:26:02.1778965Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:26:02.1779344Z >>> items_per_rank = [ 2025-12-04T09:26:02.1779663Z >>> [item for item in items if item is not None] 2025-12-04T09:26:02.1780089Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:26:02.1780463Z >>> ] 2025-12-04T09:26:02.1780682Z >>> all_plans = [ 2025-12-04T09:26:02.1780968Z >>> replace(plan, items=items) 2025-12-04T09:26:02.1781393Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:26:02.1781806Z >>> ] 2025-12-04T09:26:02.1782071Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:26:02.1782345Z 2025-12-04T09:26:02.1782623Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:26:02.1783311Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:26:02.1783826Z the global planner aggregate them: 2025-12-04T09:26:02.1784053Z 2025-12-04T09:26:02.1784167Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:26:02.1784552Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:26:02.1784965Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:26:02.1785319Z >>> plan = super().create_local_plan() 2025-12-04T09:26:02.1785725Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:26:02.1786095Z >>> 2025-12-04T09:26:02.1786510Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:26:02.1787152Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:26:02.1787769Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:26:02.1788306Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:26:02.1788719Z >>> return global_plan, metadata 2025-12-04T09:26:02.1788956Z 2025-12-04T09:26:02.1789515Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:26:02.1790188Z 2025-12-04T09:26:02.1790289Z _._ = None 2025-12-04T09:26:02.1790489Z ^ 2025-12-04T09:26:02.1791275Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T09:26:02.1792281Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:02.1792669Z 2025-12-04T09:26:02.1792966Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:26:02.1793388Z 2025-12-04T09:26:02.1793708Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:26:02.1794134Z 2025-12-04T09:26:02.1794425Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:26:02.1794961Z will be visible to the whole process. 2025-12-04T09:26:02.1795192Z 2025-12-04T09:26:02.1795479Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:26:02.1795898Z 2025-12-04T09:26:02.1796033Z 1) set_up_planner - called on all ranks. 2025-12-04T09:26:02.1796389Z Signals the start of loading a checkpoint. 2025-12-04T09:26:02.1796647Z 2025-12-04T09:26:02.1796770Z 2) create_local_plan - called on all ranks. 2025-12-04T09:26:02.1797310Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:26:02.1797731Z 2025-12-04T09:26:02.1797928Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:26:02.1798430Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:26:02.1798773Z 2025-12-04T09:26:02.1798920Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:26:02.1799359Z This is called once per non-tensor value in state_dict. 2025-12-04T09:26:02.1799647Z 2025-12-04T09:26:02.1799875Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:26:02.1800421Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:26:02.1800737Z 2025-12-04T09:26:02.1801050Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:26:02.1801683Z most changes can be expressed by changes in a single method. 2025-12-04T09:26:02.1801985Z 2025-12-04T09:26:02.1802112Z There are two usual patterns of extension: 2025-12-04T09:26:02.1802362Z 2025-12-04T09:26:02.1802623Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:26:02.1803277Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:26:02.1804012Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:26:02.1804489Z we need to be able to perform it in place 2025-12-04T09:26:02.1804738Z 2025-12-04T09:26:02.1804867Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:26:02.1805239Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:26:02.1805598Z >>> def set_up_planner( 2025-12-04T09:26:02.1805864Z >>> self, 2025-12-04T09:26:02.1806121Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:26:02.1806454Z >>> metadata: Metadata, 2025-12-04T09:26:02.1806748Z >>> is_coordinator: bool, 2025-12-04T09:26:02.1807047Z >>> ) -> None: 2025-12-04T09:26:02.1807323Z >>> self.original_state_dict = state_dict 2025-12-04T09:26:02.1807740Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:26:02.1808133Z >>> 2025-12-04T09:26:02.1808373Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:26:02.1808919Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:26:02.1809291Z >>> 2025-12-04T09:26:02.1809524Z >>> if self.flatten_state_dict: 2025-12-04T09:26:02.1809944Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:26:02.1810338Z >>> 2025-12-04T09:26:02.1810566Z >>> self.state_dict = state_dict 2025-12-04T09:26:02.1810903Z >>> self.metadata = metadata 2025-12-04T09:26:02.1811231Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:26:02.1811563Z >>> 2025-12-04T09:26:02.1811811Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:26:02.1812147Z >>> # Remove the "foo_" prefix 2025-12-04T09:26:02.1812675Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:26:02.1813133Z 2025-12-04T09:26:02.1813151Z 2025-12-04T09:26:02.1813418Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:26:02.1813812Z 2025-12-04T09:26:02.1813945Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:26:02.1814316Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:26:02.1814715Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:26:02.1815082Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:26:02.1815472Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:26:02.1815822Z >>> 2025-12-04T09:26:02.1816068Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:26:02.1816490Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:26:02.1816768Z 2025-12-04T09:26:02.1817328Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:26:02.1818021Z 2025-12-04T09:26:02.1818106Z _._ = None 2025-12-04T09:26:02.1818320Z ^ 2025-12-04T09:26:02.4915689Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T09:26:02.4916774Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:02.4917161Z 2025-12-04T09:26:02.4917393Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:26:02.4917924Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:26:02.4918462Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:26:02.4919024Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:26:02.4919572Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:26:02.4919991Z follows: 2025-12-04T09:26:02.4920110Z 2025-12-04T09:26:02.4920251Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:26:02.4920745Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:26:02.4921233Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:26:02.4921706Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:26:02.4922272Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:26:02.4922726Z >>> state = fsdp.state_dict() 2025-12-04T09:26:02.4923162Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:26:02.4923823Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:26:02.4924431Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:26:02.4924912Z >>> if dist.get_rank() == 0: 2025-12-04T09:26:02.4925305Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:26:02.4925761Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:26:02.4926132Z >>> model.load_state_dict(state_dict) 2025-12-04T09:26:02.4926613Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:26:02.4927612Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:26:02.4928078Z >>> fsdp = FSDP( 2025-12-04T09:26:02.4928325Z ... model, 2025-12-04T09:26:02.4928605Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:26:02.4928971Z ... auto_wrap_policy=..., 2025-12-04T09:26:02.4929271Z ... sync_module_states=True, 2025-12-04T09:26:02.4929572Z ... ) 2025-12-04T09:26:02.4929918Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:26:02.4930262Z 2025-12-04T09:26:02.4930351Z Attributes: 2025-12-04T09:26:02.4930693Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:26:02.4931236Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:26:02.4931720Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:26:02.4932010Z 2025-12-04T09:26:02.4932538Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:26:02.4933193Z 2025-12-04T09:26:02.4933278Z _._ = None 2025-12-04T09:26:02.4933488Z ^ 2025-12-04T09:26:05.2139854Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T09:26:05.2140921Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:05.2141473Z Register a parametrization to a tensor in a module. 2025-12-04T09:26:05.2141766Z 2025-12-04T09:26:05.2142050Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:26:05.2142762Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:26:05.2143446Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:26:05.2144189Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:26:05.2144647Z 2025-12-04T09:26:05.2144969Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:26:05.2145676Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:26:05.2146051Z 2025-12-04T09:26:05.2146316Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:26:05.2146839Z ``module.parametrizations.weight``. 2025-12-04T09:26:05.2147090Z 2025-12-04T09:26:05.2147228Z The original tensor will be accessible under 2025-12-04T09:26:05.2147639Z ``module.parametrizations.weight.original``. 2025-12-04T09:26:05.2147904Z 2025-12-04T09:26:05.2148174Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:26:05.2148683Z on the same attribute. 2025-12-04T09:26:05.2148862Z 2025-12-04T09:26:05.2149131Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:26:05.2149657Z to match the training mode of the host module 2025-12-04T09:26:05.2149909Z 2025-12-04T09:26:05.2150228Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:26:05.2150806Z using the context manager :func:`cached`. 2025-12-04T09:26:05.2151045Z 2025-12-04T09:26:05.2151309Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:26:05.2151684Z 2025-12-04T09:26:05.2151825Z .. code-block:: python 2025-12-04T09:26:05.2152015Z 2025-12-04T09:26:05.2152245Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:26:05.2152613Z 2025-12-04T09:26:05.2152882Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:26:05.2153510Z is registered to compute the initial value of the original tensor. 2025-12-04T09:26:05.2154484Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:26:05.2155076Z 2025-12-04T09:26:05.2155399Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:26:05.2156154Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:26:05.2156577Z 2025-12-04T09:26:05.2156828Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:26:05.2157430Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:26:05.2158061Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:26:05.2158440Z 2025-12-04T09:26:05.2158788Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:26:05.2159399Z with names ``original0``, ``original1``,... 2025-12-04T09:26:05.2159682Z 2025-12-04T09:26:05.2159785Z .. note:: 2025-12-04T09:26:05.2159921Z 2025-12-04T09:26:05.2160202Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:26:05.2160765Z once to perform a number of consistency checks. 2025-12-04T09:26:05.2161317Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:26:05.2161855Z and nothing will be called otherwise. 2025-12-04T09:26:05.2162089Z 2025-12-04T09:26:05.2162175Z .. note:: 2025-12-04T09:26:05.2162316Z 2025-12-04T09:26:05.2162525Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:26:05.2162991Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:26:05.2163524Z `right inverse `_). 2025-12-04T09:26:05.2164305Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:26:05.2164796Z to relax this. 2025-12-04T09:26:05.2164954Z 2025-12-04T09:26:05.2165231Z .. warning:: 2025-12-04T09:26:05.2165371Z 2025-12-04T09:26:05.2165659Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:26:05.2166344Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:26:05.2167027Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:26:05.2167653Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:26:05.2167976Z 2025-12-04T09:26:05.2168062Z Args: 2025-12-04T09:26:05.2168408Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:26:05.2168984Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:26:05.2169432Z the parametrization 2025-12-04T09:26:05.2169844Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:26:05.2170273Z Keyword args: 2025-12-04T09:26:05.2170685Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:26:05.2171236Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:26:05.2171843Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:26:05.2172370Z Enable this flag at your own risk. 2025-12-04T09:26:05.2172603Z 2025-12-04T09:26:05.2172687Z Raises: 2025-12-04T09:26:05.2173121Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:26:05.2173546Z 2025-12-04T09:26:05.2173649Z Examples: 2025-12-04T09:26:05.2173926Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:26:05.2174294Z >>> import torch 2025-12-04T09:26:05.2174571Z >>> import torch.nn as nn 2025-12-04T09:26:05.2174916Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:26:05.2175247Z >>> 2025-12-04T09:26:05.2175715Z >>> class Symmetric(nn.Module): 2025-12-04T09:26:05.2176051Z >>> def forward(self, X): 2025-12-04T09:26:05.2176435Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:26:05.2176834Z >>> 2025-12-04T09:26:05.2177079Z >>> def right_inverse(self, A): 2025-12-04T09:26:05.2177400Z >>> return A.triu() 2025-12-04T09:26:05.2177688Z >>> 2025-12-04T09:26:05.2177911Z >>> m = nn.Linear(5, 5) 2025-12-04T09:26:05.2178266Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:26:05.2178814Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:26:05.2179282Z True 2025-12-04T09:26:05.2179515Z >>> A = torch.rand(5, 5) 2025-12-04T09:26:05.2179814Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:26:05.2180247Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:26:05.2180721Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:26:05.2181040Z True 2025-12-04T09:26:05.2181177Z 2025-12-04T09:26:05.2181284Z >>> class RankOne(nn.Module): 2025-12-04T09:26:05.2181610Z >>> def forward(self, x, y): 2025-12-04T09:26:05.2181969Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:26:05.2182376Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:26:05.2182719Z >>> 2025-12-04T09:26:05.2182956Z >>> def right_inverse(self, Z): 2025-12-04T09:26:05.2183296Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:26:05.2183688Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:26:05.2184095Z >>> # Return rescaled singular vectors 2025-12-04T09:26:05.2184442Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:26:05.2184837Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:26:05.2185203Z >>> 2025-12-04T09:26:05.2185472Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:26:05.2185875Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:26:05.2186207Z ... ) 2025-12-04T09:26:05.2186552Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:26:05.2186966Z 1 2025-12-04T09:26:05.2187097Z 2025-12-04T09:26:05.2187182Z 2025-12-04T09:26:05.2187865Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:26:05.2188537Z 2025-12-04T09:26:05.2188621Z _._ = None 2025-12-04T09:26:05.2188833Z ^ 2025-12-04T09:26:05.3267525Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T09:26:05.3268532Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:05.3269125Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:26:05.3269464Z 2025-12-04T09:26:05.3269673Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:26:05.3270227Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:26:05.3270734Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:26:05.3271190Z of epochs, the learning rate is reduced. 2025-12-04T09:26:05.3271429Z 2025-12-04T09:26:05.3271530Z Args: 2025-12-04T09:26:05.3271787Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:26:05.3272206Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:26:05.3272655Z be reduced when the quantity monitored has stopped 2025-12-04T09:26:05.3273098Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:26:05.3273599Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:26:05.3274460Z factor (float): Factor by which the learning rate will be 2025-12-04T09:26:05.3275027Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:26:05.3275507Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:26:05.3276002Z which the learning rate will be reduced. 2025-12-04T09:26:05.3276500Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:26:05.3277240Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:26:05.3277957Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:26:05.3278464Z we have what is considered an intolerable epoch. 2025-12-04T09:26:05.3279028Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:26:05.3279602Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:26:05.3280249Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:26:05.3281049Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:26:05.3281635Z the learning rate is not adjusted. 2025-12-04T09:26:05.3281959Z Default: 10. 2025-12-04T09:26:05.3282325Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:26:05.3282807Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:26:05.3283262Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:26:05.3283794Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:26:05.3284235Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:26:05.3284673Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:26:05.3285127Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:26:05.3285629Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:26:05.3286111Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:26:05.3286573Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:26:05.3287033Z lower bound on the learning rate of all param groups 2025-12-04T09:26:05.3287456Z or each group respectively. Default: 0. 2025-12-04T09:26:05.3287887Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:26:05.3288378Z between new and old lr is smaller than eps, the update is 2025-12-04T09:26:05.3288799Z ignored. Default: 1e-8. 2025-12-04T09:26:05.3289006Z 2025-12-04T09:26:05.3289104Z Example: 2025-12-04T09:26:05.3301678Z >>> # xdoctest: +SKIP 2025-12-04T09:26:05.3302166Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:26:05.3302743Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:26:05.3303127Z >>> for epoch in range(10): 2025-12-04T09:26:05.3303448Z >>> train(...) 2025-12-04T09:26:05.3303742Z >>> val_loss = validate(...) 2025-12-04T09:26:05.3304109Z >>> # Note that step should be called after validate() 2025-12-04T09:26:05.3304504Z >>> scheduler.step(val_loss) 2025-12-04T09:26:05.3304726Z 2025-12-04T09:26:05.3305042Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:26:05.3305434Z 2025-12-04T09:26:05.3305993Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:26:05.3306559Z 2025-12-04T09:26:05.3306665Z scheduler.step(val_loss) 2025-12-04T09:26:05.3306945Z ^ 2025-12-04T09:26:09.4107107Z running 894 test(s) 2025-12-04T09:26:09.4112656Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file 2025-12-04T09:26:09.4178959Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0 2025-12-04T09:26:09.4180146Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file 2025-12-04T09:26:09.4185067Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0 2025-12-04T09:26:09.4186228Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file 2025-12-04T09:26:09.4194160Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0 2025-12-04T09:26:09.4195377Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file 2025-12-04T09:26:09.4197264Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0 2025-12-04T09:26:09.4198827Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1296 <- wrt source file 2025-12-04T09:26:09.4200198Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-12-04T09:26:09.4201460Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file 2025-12-04T09:26:09.4203346Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0 2025-12-04T09:26:09.4204983Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file 2025-12-04T09:26:09.4206746Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-12-04T09:26:09.4207991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file 2025-12-04T09:26:09.4209156Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0 2025-12-04T09:26:09.4210667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2963 <- wrt source file 2025-12-04T09:26:09.4212099Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-12-04T09:26:09.4213707Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2025-12-04T09:26:09.4215513Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0 2025-12-04T09:26:09.4217084Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2025-12-04T09:26:09.4218510Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0 2025-12-04T09:26:09.4219787Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-12-04T09:26:09.4220967Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0 2025-12-04T09:26:09.4222108Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-12-04T09:26:09.4223406Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0 2025-12-04T09:26:09.4224720Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-12-04T09:26:09.4845853Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-12-04T09:26:09.4849747Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-12-04T09:26:09.4851182Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-12-04T09:26:09.4852480Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file 2025-12-04T09:26:09.5083014Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-12-04T09:26:09.5084493Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 738 <- wrt source file 2025-12-04T09:26:09.5609415Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-12-04T09:26:09.5610842Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file 2025-12-04T09:26:09.5918119Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-12-04T09:26:09.5922234Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file 2025-12-04T09:26:09.5930217Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-12-04T09:26:09.5931473Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file 2025-12-04T09:26:09.5940945Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0 2025-12-04T09:26:09.5942177Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1522 <- wrt source file 2025-12-04T09:26:09.6151077Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-12-04T09:26:09.6152626Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file 2025-12-04T09:26:09.6184098Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0 2025-12-04T09:26:09.6185666Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-12-04T09:26:09.6231324Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-12-04T09:26:09.6232912Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-12-04T09:26:09.6265145Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0 2025-12-04T09:26:09.6266415Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-12-04T09:26:09.6270065Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0 2025-12-04T09:26:09.6272348Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-12-04T09:26:09.6300986Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0 2025-12-04T09:26:09.6302171Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-12-04T09:26:09.6376813Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0 2025-12-04T09:26:09.6378001Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file 2025-12-04T09:26:09.6442898Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0 2025-12-04T09:26:09.6444145Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file 2025-12-04T09:26:09.6600315Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0 2025-12-04T09:26:09.6601615Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-12-04T09:26:09.6615022Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-12-04T09:26:09.6616310Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-12-04T09:26:09.6719160Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0 2025-12-04T09:26:09.6720398Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-12-04T09:26:09.6729028Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0 2025-12-04T09:26:09.6730253Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-12-04T09:26:09.6756891Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0 2025-12-04T09:26:09.6758050Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-12-04T09:26:09.6785806Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0 2025-12-04T09:26:09.6786988Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-12-04T09:26:09.6815933Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0 2025-12-04T09:26:09.6817161Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-12-04T09:26:09.6838996Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0 2025-12-04T09:26:09.6840198Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-12-04T09:26:09.6867223Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0 2025-12-04T09:26:09.6868394Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-12-04T09:26:09.6929533Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0 2025-12-04T09:26:09.6931263Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file 2025-12-04T09:26:09.6978975Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0 2025-12-04T09:26:09.6980241Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file 2025-12-04T09:26:09.6981831Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0 2025-12-04T09:26:09.6983318Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file 2025-12-04T09:26:09.6984641Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0 2025-12-04T09:26:09.6986019Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 477 <- wrt source file 2025-12-04T09:26:09.6987274Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0 2025-12-04T09:26:09.6988495Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 537 <- wrt source file 2025-12-04T09:26:09.6989578Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0 2025-12-04T09:26:09.6990636Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 628 <- wrt source file 2025-12-04T09:26:09.6991711Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0 2025-12-04T09:26:09.6992809Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file 2025-12-04T09:26:09.6993943Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0 2025-12-04T09:26:09.6995416Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0, line 711 <- wrt source file 2025-12-04T09:26:09.6996640Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0 2025-12-04T09:26:09.6997870Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0, line 852 <- wrt source file 2025-12-04T09:26:09.6999131Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0 2025-12-04T09:26:09.7000357Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file 2025-12-04T09:26:09.7001567Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0 2025-12-04T09:26:09.7002874Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 239 <- wrt source file 2025-12-04T09:26:09.7011086Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-12-04T09:26:09.7012392Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file 2025-12-04T09:26:09.7017251Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0 2025-12-04T09:26:09.7018405Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 521 <- wrt source file 2025-12-04T09:26:09.7096051Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0 2025-12-04T09:26:09.7097596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 627 <- wrt source file 2025-12-04T09:26:09.7119120Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0 2025-12-04T09:26:09.7120286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file 2025-12-04T09:26:09.7122114Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0 2025-12-04T09:26:09.7123333Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file 2025-12-04T09:26:09.7124658Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0 2025-12-04T09:26:09.7125909Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file 2025-12-04T09:26:09.7591901Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0 2025-12-04T09:26:09.7593233Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file 2025-12-04T09:26:09.7735250Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0 2025-12-04T09:26:09.7736523Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file 2025-12-04T09:26:09.8033415Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0 2025-12-04T09:26:09.8034858Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file 2025-12-04T09:26:09.8036057Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0 2025-12-04T09:26:09.8037298Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file 2025-12-04T09:26:09.8043467Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0 2025-12-04T09:26:09.8044852Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file 2025-12-04T09:26:09.8087801Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0 2025-12-04T09:26:09.8089103Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file 2025-12-04T09:26:09.8092701Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0 2025-12-04T09:26:09.8094011Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file 2025-12-04T09:26:09.8096841Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0 2025-12-04T09:26:09.8098200Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1974 <- wrt source file 2025-12-04T09:26:09.8136282Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-12-04T09:26:09.8137592Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file 2025-12-04T09:26:09.8148091Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0 2025-12-04T09:26:09.8150128Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-12-04T09:26:09.8151825Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0 2025-12-04T09:26:09.8153342Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file 2025-12-04T09:26:09.8155211Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0 2025-12-04T09:26:09.8156456Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file 2025-12-04T09:26:09.8157720Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0 2025-12-04T09:26:09.8158956Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file 2025-12-04T09:26:09.8160854Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0 2025-12-04T09:26:09.8162381Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file 2025-12-04T09:26:09.8163779Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0 2025-12-04T09:26:09.8165007Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file 2025-12-04T09:26:09.8166416Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0 2025-12-04T09:26:09.8168396Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file 2025-12-04T09:26:09.8169606Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0 2025-12-04T09:26:09.8170814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-12-04T09:26:09.8172703Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0 2025-12-04T09:26:09.8173964Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 349 <- wrt source file 2025-12-04T09:26:09.8175317Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-12-04T09:26:09.8176623Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file 2025-12-04T09:26:09.8190420Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0 2025-12-04T09:26:09.8191832Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1911 <- wrt source file 2025-12-04T09:26:09.8197449Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2025-12-04T09:26:09.8198913Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file 2025-12-04T09:26:09.8211165Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-12-04T09:26:09.8214181Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0, line 171 <- wrt source file 2025-12-04T09:26:09.8215624Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0 2025-12-04T09:26:09.8216989Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file 2025-12-04T09:26:09.8218325Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0 2025-12-04T09:26:09.8219616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 130 <- wrt source file 2025-12-04T09:26:09.8220922Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-12-04T09:26:09.8222223Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 186 <- wrt source file 2025-12-04T09:26:10.1219796Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-12-04T09:26:10.1221152Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file 2025-12-04T09:26:10.1222443Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-12-04T09:26:10.1223704Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file 2025-12-04T09:26:10.1225861Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-12-04T09:26:10.1227291Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 469 <- wrt source file 2025-12-04T09:26:10.1230341Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-12-04T09:26:10.1231683Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file 2025-12-04T09:26:10.1235180Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-12-04T09:26:10.1237350Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 502 <- wrt source file 2025-12-04T09:26:10.1239051Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-12-04T09:26:10.1241000Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 522 <- wrt source file 2025-12-04T09:26:10.1242947Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-12-04T09:26:10.1244600Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file 2025-12-04T09:26:10.1246169Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-12-04T09:26:10.1247404Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file 2025-12-04T09:26:10.1248765Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0 2025-12-04T09:26:10.1250476Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file 2025-12-04T09:26:10.1252097Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0 2025-12-04T09:26:10.1253520Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file 2025-12-04T09:26:10.1254878Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0 2025-12-04T09:26:10.1256165Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file 2025-12-04T09:26:10.1257428Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0 2025-12-04T09:26:10.1258748Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 201 <- wrt source file 2025-12-04T09:26:10.1260171Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-12-04T09:26:10.1261518Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0, line 235 <- wrt source file 2025-12-04T09:26:10.1262858Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0 2025-12-04T09:26:10.1264175Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 265 <- wrt source file 2025-12-04T09:26:10.1265562Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-12-04T09:26:10.1266857Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file 2025-12-04T09:26:10.1268127Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0 2025-12-04T09:26:10.1269325Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-12-04T09:26:10.1270522Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0 2025-12-04T09:26:10.1271986Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-12-04T09:26:10.1273576Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-12-04T09:26:10.1274880Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file 2025-12-04T09:26:10.1276158Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0 2025-12-04T09:26:10.1277417Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file 2025-12-04T09:26:10.1369277Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-12-04T09:26:10.1370920Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-12-04T09:26:10.1375437Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-12-04T09:26:10.1377263Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-12-04T09:26:10.1461788Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0 2025-12-04T09:26:10.1463402Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file 2025-12-04T09:26:10.1470551Z W1204 09:26:10.146000 1827 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. 2025-12-04T09:26:10.1499955Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-12-04T09:26:10.1501616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-12-04T09:26:10.1558711Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0 2025-12-04T09:26:10.1559937Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file 2025-12-04T09:26:10.1612745Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0 2025-12-04T09:26:10.1614406Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2025-12-04T09:26:10.1830548Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-12-04T09:26:10.1831959Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file 2025-12-04T09:26:10.1956392Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-12-04T09:26:10.1958135Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 361 <- wrt source file 2025-12-04T09:26:10.1960402Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-12-04T09:26:10.1962241Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 328 <- wrt source file 2025-12-04T09:26:10.1964367Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-12-04T09:26:10.1966585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0, line 1316 <- wrt source file 2025-12-04T09:26:10.1968912Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0 2025-12-04T09:26:10.1970953Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1441 <- wrt source file 2025-12-04T09:26:10.1972897Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-12-04T09:26:10.1974912Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 194 <- wrt source file 2025-12-04T09:26:10.1977380Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-12-04T09:26:10.1979497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0, line 262 <- wrt source file 2025-12-04T09:26:10.1981313Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0 2025-12-04T09:26:10.1983030Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 771 <- wrt source file 2025-12-04T09:26:10.2423765Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-12-04T09:26:10.2425223Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2025-12-04T09:26:10.2426768Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-12-04T09:26:10.2428142Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file 2025-12-04T09:26:10.2557574Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-12-04T09:26:10.2558880Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file 2025-12-04T09:26:10.2671278Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-12-04T09:26:10.2672602Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file 2025-12-04T09:26:10.5796456Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-12-04T09:26:10.5797817Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file 2025-12-04T09:26:10.5879796Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-12-04T09:26:10.5881149Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file 2025-12-04T09:26:10.5904692Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-12-04T09:26:10.5906086Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file 2025-12-04T09:26:10.5910417Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-12-04T09:26:10.5911793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file 2025-12-04T09:26:10.6143084Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-12-04T09:26:10.6144479Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2025-12-04T09:26:10.6149248Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-12-04T09:26:10.6150602Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-12-04T09:26:10.6152809Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-12-04T09:26:10.6154786Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1111 <- wrt source file 2025-12-04T09:26:10.6156729Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-12-04T09:26:10.6158340Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1166 <- wrt source file 2025-12-04T09:26:10.6160109Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-12-04T09:26:10.6161941Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 183 <- wrt source file 2025-12-04T09:26:10.6163861Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-12-04T09:26:10.6166006Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 319 <- wrt source file 2025-12-04T09:26:10.6168218Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-12-04T09:26:10.6170090Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 139 <- wrt source file 2025-12-04T09:26:10.6171618Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-12-04T09:26:10.6173358Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file 2025-12-04T09:26:10.6175282Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-12-04T09:26:10.6177016Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0, line 80 <- wrt source file 2025-12-04T09:26:10.6178678Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0 2025-12-04T09:26:10.6180160Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0, line 133 <- wrt source file 2025-12-04T09:26:10.6181879Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0 2025-12-04T09:26:10.6183339Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 130 <- wrt source file 2025-12-04T09:26:10.6184589Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-12-04T09:26:10.6185895Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file 2025-12-04T09:26:10.6187290Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-12-04T09:26:10.6188741Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1845 <- wrt source file 2025-12-04T09:26:10.6190431Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2025-12-04T09:26:10.6192021Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 4328 <- wrt source file 2025-12-04T09:26:10.6193516Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-12-04T09:26:10.6194951Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0, line 100 <- wrt source file 2025-12-04T09:26:10.6196426Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0 2025-12-04T09:26:10.6197846Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0, line 56 <- wrt source file 2025-12-04T09:26:10.6199260Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0 2025-12-04T09:26:10.6200734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0, line 423 <- wrt source file 2025-12-04T09:26:10.6202302Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0 2025-12-04T09:26:10.6203944Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0, line 69 <- wrt source file 2025-12-04T09:26:10.6205534Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0 2025-12-04T09:26:10.6207154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0, line 105 <- wrt source file 2025-12-04T09:26:10.6208839Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0 2025-12-04T09:26:10.6210456Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0, line 142 <- wrt source file 2025-12-04T09:26:10.6212069Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0 2025-12-04T09:26:10.6213675Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0, line 179 <- wrt source file 2025-12-04T09:26:10.6215357Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0 2025-12-04T09:26:10.6217033Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0, line 54 <- wrt source file 2025-12-04T09:26:10.6218722Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0 2025-12-04T09:26:10.6220162Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0, line 101 <- wrt source file 2025-12-04T09:26:10.6853988Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-12-04T09:26:10.6855729Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 241 <- wrt source file 2025-12-04T09:26:10.7009277Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-12-04T09:26:10.7010781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 310 <- wrt source file 2025-12-04T09:26:10.7012286Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-12-04T09:26:10.7013753Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 549 <- wrt source file 2025-12-04T09:26:10.7301590Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-12-04T09:26:10.7303074Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 724 <- wrt source file 2025-12-04T09:26:10.7586941Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-12-04T09:26:10.7588669Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 810 <- wrt source file 2025-12-04T09:26:10.7590199Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-12-04T09:26:10.7591672Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 273 <- wrt source file 2025-12-04T09:26:10.7593155Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-12-04T09:26:10.7594634Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file 2025-12-04T09:26:10.7712693Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-12-04T09:26:10.7714097Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 53 <- wrt source file 2025-12-04T09:26:10.7724229Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-12-04T09:26:10.7725644Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file 2025-12-04T09:26:10.7727024Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0 2025-12-04T09:26:10.7728289Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file 2025-12-04T09:26:10.7729575Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0 2025-12-04T09:26:10.7730808Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file 2025-12-04T09:26:10.7732071Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0 2025-12-04T09:26:10.7733361Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file 2025-12-04T09:26:10.7774969Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2025-12-04T09:26:10.7776759Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 302 <- wrt source file 2025-12-04T09:26:10.7778175Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2025-12-04T09:26:10.7779552Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0, line 375 <- wrt source file 2025-12-04T09:26:10.7840718Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2025-12-04T09:26:10.7842114Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 496 <- wrt source file 2025-12-04T09:26:10.7845155Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2025-12-04T09:26:10.7846557Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 793 <- wrt source file 2025-12-04T09:26:10.7945252Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2025-12-04T09:26:10.7946659Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 899 <- wrt source file 2025-12-04T09:26:10.8011668Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2025-12-04T09:26:10.8013078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file 2025-12-04T09:26:10.8070911Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-12-04T09:26:10.8072309Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file 2025-12-04T09:26:10.8073695Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-12-04T09:26:10.8075057Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file 2025-12-04T09:26:10.8123864Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-12-04T09:26:10.8125310Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file 2025-12-04T09:26:10.8129369Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-12-04T09:26:10.8130811Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file 2025-12-04T09:26:10.8135191Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-12-04T09:26:10.8136549Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file 2025-12-04T09:26:10.8137852Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-12-04T09:26:10.8139144Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file 2025-12-04T09:26:10.8143155Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-12-04T09:26:10.8144546Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1881 <- wrt source file 2025-12-04T09:26:10.8146248Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2025-12-04T09:26:10.8147700Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-12-04T09:26:10.8149271Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-12-04T09:26:10.8150761Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0, line 47 <- wrt source file 2025-12-04T09:26:10.8152451Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0 2025-12-04T09:26:10.8153940Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-12-04T09:26:10.8155325Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-12-04T09:26:10.8156841Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 34 <- wrt source file 2025-12-04T09:26:10.8158422Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:26:10.8160072Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file 2025-12-04T09:26:10.8161843Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:26:10.8163512Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2025-12-04T09:26:10.8165259Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:26:10.8166931Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file 2025-12-04T09:26:10.8168666Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-12-04T09:26:10.8170335Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file 2025-12-04T09:26:10.8171994Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-12-04T09:26:10.8173485Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 29 <- wrt source file 2025-12-04T09:26:10.8273448Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-12-04T09:26:10.8276671Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file 2025-12-04T09:26:10.8315762Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-12-04T09:26:10.8318725Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file 2025-12-04T09:26:10.8321408Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-12-04T09:26:10.8324016Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file 2025-12-04T09:26:10.8326443Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-12-04T09:26:10.8328772Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file 2025-12-04T09:26:10.8331494Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-12-04T09:26:10.8334090Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2025-12-04T09:26:10.8337025Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-12-04T09:26:10.8339719Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2025-12-04T09:26:10.8342648Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-12-04T09:26:10.8345664Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2025-12-04T09:26:10.8348661Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-12-04T09:26:10.8351568Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 126 <- wrt source file 2025-12-04T09:26:10.8354629Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-12-04T09:26:10.8357451Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 212 <- wrt source file 2025-12-04T09:26:10.8360302Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-12-04T09:26:10.8363041Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 300 <- wrt source file 2025-12-04T09:26:10.8366364Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:26:10.8369422Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 383 <- wrt source file 2025-12-04T09:26:10.8372622Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:26:10.8375711Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 466 <- wrt source file 2025-12-04T09:26:10.8378774Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:26:10.8381453Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2025-12-04T09:26:10.8383152Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-12-04T09:26:10.8384633Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 516 <- wrt source file 2025-12-04T09:26:10.8386103Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-12-04T09:26:10.8387583Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 803 <- wrt source file 2025-12-04T09:26:10.8389061Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-12-04T09:26:10.8390920Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1209 <- wrt source file 2025-12-04T09:26:10.8393294Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-12-04T09:26:10.8395534Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1276 <- wrt source file 2025-12-04T09:26:10.8397937Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-12-04T09:26:10.8400566Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1329 <- wrt source file 2025-12-04T09:26:10.8403823Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-12-04T09:26:10.8406712Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2025-12-04T09:26:10.8409459Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-12-04T09:26:10.8411986Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 376 <- wrt source file 2025-12-04T09:26:10.8414266Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2025-12-04T09:26:10.8416542Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 506 <- wrt source file 2025-12-04T09:26:10.8419000Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-12-04T09:26:10.8421569Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 636 <- wrt source file 2025-12-04T09:26:10.8424233Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-12-04T09:26:10.8426798Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 893 <- wrt source file 2025-12-04T09:26:10.8429585Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:26:10.8432415Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1015 <- wrt source file 2025-12-04T09:26:10.8435813Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:26:10.8438949Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1141 <- wrt source file 2025-12-04T09:26:10.8441892Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:26:10.8444656Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file 2025-12-04T09:26:10.8447207Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-12-04T09:26:10.8449889Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file 2025-12-04T09:26:10.8452909Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-12-04T09:26:10.8455797Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file 2025-12-04T09:26:10.8458937Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-12-04T09:26:10.8461759Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file 2025-12-04T09:26:10.8464648Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-12-04T09:26:10.8467399Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 135 <- wrt source file 2025-12-04T09:26:10.8470039Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-12-04T09:26:10.8472482Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 24 <- wrt source file 2025-12-04T09:26:10.8474821Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2025-12-04T09:26:10.8477920Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file 2025-12-04T09:26:10.8494930Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0 2025-12-04T09:26:10.8497367Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2025-12-04T09:26:10.8499725Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-12-04T09:26:10.8501787Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file 2025-12-04T09:26:10.8503697Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-12-04T09:26:10.8505601Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2025-12-04T09:26:10.8507870Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-12-04T09:26:10.8509928Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 251 <- wrt source file 2025-12-04T09:26:10.8512209Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2025-12-04T09:26:10.8514139Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 175 <- wrt source file 2025-12-04T09:26:10.8515949Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-12-04T09:26:10.8517773Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 32 <- wrt source file 2025-12-04T09:26:10.8519698Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-12-04T09:26:10.8521588Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 83 <- wrt source file 2025-12-04T09:26:10.8528240Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-12-04T09:26:10.8530187Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 143 <- wrt source file 2025-12-04T09:26:10.8535417Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-12-04T09:26:10.8537418Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 182 <- wrt source file 2025-12-04T09:26:10.8542691Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-12-04T09:26:10.8544557Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file 2025-12-04T09:26:10.8546289Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-12-04T09:26:10.8547975Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file 2025-12-04T09:26:10.8549477Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-12-04T09:26:10.8550867Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2025-12-04T09:26:10.8552256Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-12-04T09:26:10.8553634Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file 2025-12-04T09:26:10.8555053Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-12-04T09:26:10.8556456Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file 2025-12-04T09:26:10.8558203Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-12-04T09:26:10.8559605Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file 2025-12-04T09:26:10.8561019Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-12-04T09:26:10.8562474Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file 2025-12-04T09:26:10.8564091Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-12-04T09:26:10.8565719Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file 2025-12-04T09:26:10.8567404Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-12-04T09:26:10.8568941Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file 2025-12-04T09:26:10.8570403Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-12-04T09:26:10.8571844Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file 2025-12-04T09:26:10.8573355Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-12-04T09:26:10.8574817Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file 2025-12-04T09:26:10.8576285Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-12-04T09:26:10.8577685Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 171 <- wrt source file 2025-12-04T09:26:10.8579112Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-12-04T09:26:10.8580498Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 553 <- wrt source file 2025-12-04T09:26:10.8581934Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-12-04T09:26:10.8583366Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 575 <- wrt source file 2025-12-04T09:26:10.8584812Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-12-04T09:26:10.8586230Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 589 <- wrt source file 2025-12-04T09:26:10.8587672Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-12-04T09:26:10.8589071Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 611 <- wrt source file 2025-12-04T09:26:10.8590472Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-12-04T09:26:10.8592000Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 738 <- wrt source file 2025-12-04T09:26:10.8593412Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2025-12-04T09:26:10.8594918Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0, line 216 <- wrt source file 2025-12-04T09:26:10.8596565Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0 2025-12-04T09:26:10.8598186Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file 2025-12-04T09:26:10.8599880Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2025-12-04T09:26:10.8601514Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 85 <- wrt source file 2025-12-04T09:26:10.8603149Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2025-12-04T09:26:10.8605083Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 341 <- wrt source file 2025-12-04T09:26:10.8607231Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0 2025-12-04T09:26:10.8609376Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0, line 429 <- wrt source file 2025-12-04T09:26:10.8611549Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0 2025-12-04T09:26:10.8622117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 104 <- wrt source file 2025-12-04T09:26:10.8623808Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-12-04T09:26:10.8625463Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 155 <- wrt source file 2025-12-04T09:26:10.8627287Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-12-04T09:26:10.8628915Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 189 <- wrt source file 2025-12-04T09:26:10.8630546Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2025-12-04T09:26:10.8632199Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 442 <- wrt source file 2025-12-04T09:26:10.8633930Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-12-04T09:26:10.8635728Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file 2025-12-04T09:26:10.8637113Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0 2025-12-04T09:26:10.8646364Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 72 <- wrt source file 2025-12-04T09:26:10.8647869Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0 2025-12-04T09:26:10.8649347Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 116 <- wrt source file 2025-12-04T09:26:10.8650834Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0 2025-12-04T09:26:10.8652284Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 169 <- wrt source file 2025-12-04T09:26:10.8653707Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2025-12-04T09:26:10.8655204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 216 <- wrt source file 2025-12-04T09:26:10.8656797Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2025-12-04T09:26:10.8658339Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 245 <- wrt source file 2025-12-04T09:26:10.8660202Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2025-12-04T09:26:10.8661667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file 2025-12-04T09:26:10.8662944Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file 2025-12-04T09:26:10.8686666Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0 2025-12-04T09:26:10.8687919Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file 2025-12-04T09:26:10.8689159Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0 2025-12-04T09:26:10.8690407Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file 2025-12-04T09:26:10.8691658Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0 2025-12-04T09:26:10.8692867Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2025-12-04T09:26:10.8694100Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-12-04T09:26:10.8695361Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2025-12-04T09:26:10.8696665Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-12-04T09:26:10.8697972Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2025-12-04T09:26:10.8699325Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-12-04T09:26:10.8700641Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 252 <- wrt source file 2025-12-04T09:26:10.8701983Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2025-12-04T09:26:10.8703240Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file 2025-12-04T09:26:10.8704507Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0 2025-12-04T09:26:10.8705925Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 117 <- wrt source file 2025-12-04T09:26:10.8707342Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0 2025-12-04T09:26:10.8708682Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 154 <- wrt source file 2025-12-04T09:26:10.8710067Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-12-04T09:26:10.8711394Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 292 <- wrt source file 2025-12-04T09:26:10.8712752Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-12-04T09:26:10.8714034Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 362 <- wrt source file 2025-12-04T09:26:10.8715292Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-12-04T09:26:10.8716630Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 419 <- wrt source file 2025-12-04T09:26:10.8718062Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2025-12-04T09:26:10.8719454Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 503 <- wrt source file 2025-12-04T09:26:10.8720861Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2025-12-04T09:26:10.8722284Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 777 <- wrt source file 2025-12-04T09:26:10.8744341Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2025-12-04T09:26:10.8745699Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file 2025-12-04T09:26:10.8746973Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0 2025-12-04T09:26:10.8748258Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0, line 760 <- wrt source file 2025-12-04T09:26:10.8749623Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::record_function:0 2025-12-04T09:26:10.8750902Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0, line 899 <- wrt source file 2025-12-04T09:26:10.8752176Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_itt:0 2025-12-04T09:26:10.8753413Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 972 <- wrt source file 2025-12-04T09:26:10.8754702Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::emit_nvtx:0 2025-12-04T09:26:10.8755981Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file 2025-12-04T09:26:10.8757297Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0 2025-12-04T09:26:10.8758751Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 43 <- wrt source file 2025-12-04T09:26:10.8760111Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-12-04T09:26:10.8761366Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 59 <- wrt source file 2025-12-04T09:26:10.8762639Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-12-04T09:26:10.8763915Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file 2025-12-04T09:26:10.8765098Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0 2025-12-04T09:26:10.8766305Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2025-12-04T09:26:10.8767574Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-12-04T09:26:10.8768833Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 2025-12-04T09:26:10.8770121Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-12-04T09:26:10.8771376Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file 2025-12-04T09:26:10.8772637Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-12-04T09:26:10.8773969Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file 2025-12-04T09:26:10.8775398Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-12-04T09:26:10.8776689Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-12-04T09:26:10.8777898Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0 2025-12-04T09:26:10.8779232Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0, line 125 <- wrt source file 2025-12-04T09:26:10.8780757Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0 2025-12-04T09:26:10.8782251Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0, line 142 <- wrt source file 2025-12-04T09:26:10.8783763Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0 2025-12-04T09:26:10.8785264Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0, line 281 <- wrt source file 2025-12-04T09:26:10.8786790Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0 2025-12-04T09:26:10.8788239Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 167 <- wrt source file 2025-12-04T09:26:10.8789614Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-12-04T09:26:10.8791130Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 1027 <- wrt source file 2025-12-04T09:26:10.8792716Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-12-04T09:26:10.8794177Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1317 <- wrt source file 2025-12-04T09:26:10.8795606Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-12-04T09:26:10.8797072Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2652 <- wrt source file 2025-12-04T09:26:10.8798598Z * SKIPPED: 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* SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0 2025-12-04T09:26:10.8827071Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0, line 3947 <- wrt source file 2025-12-04T09:26:10.8828506Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0 2025-12-04T09:26:10.8829973Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 4054 <- wrt source file 2025-12-04T09:26:10.8831543Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2025-12-04T09:26:10.8833055Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 4192 <- wrt source file 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/replicate_with_fsdp.py::replicate:0 2025-12-04T09:26:10.8880154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0, line 31 <- wrt source file 2025-12-04T09:26:10.8881914Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0 2025-12-04T09:26:10.8883601Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::init_from_local_shards:0, line 384 <- wrt source file 2025-12-04T09:26:10.8885367Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::init_from_local_shards:0 2025-12-04T09:26:10.8887000Z * DOCTEST : 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DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0, line 173 <- wrt source file 2025-12-04T09:26:10.9019129Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0 2025-12-04T09:26:10.9020803Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0, line 228 <- wrt source file 2025-12-04T09:26:10.9022554Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0 2025-12-04T09:26:10.9024170Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1276 <- wrt source file 2025-12-04T09:26:10.9025701Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0, line 88 <- wrt source file 2025-12-04T09:26:10.9254651Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0 2025-12-04T09:26:10.9256574Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0, line 56 <- wrt source file 2025-12-04T09:26:10.9258475Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0 2025-12-04T09:26:10.9260382Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0, line 64 <- wrt source file 2025-12-04T09:26:10.9262348Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0 2025-12-04T09:26:10.9264282Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file 2025-12-04T09:26:10.9266257Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0 2025-12-04T09:26:10.9268185Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file 2025-12-04T09:26:10.9270194Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0 2025-12-04T09:26:10.9272171Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0, line 452 <- wrt source file 2025-12-04T09:26:10.9274184Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0 2025-12-04T09:26:10.9276167Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0, line 614 <- wrt source file 2025-12-04T09:26:10.9278197Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0 2025-12-04T09:26:10.9280321Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0, line 740 <- wrt source file 2025-12-04T09:26:10.9282496Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0 2025-12-04T09:26:10.9284410Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file 2025-12-04T09:26:10.9286156Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2025-12-04T09:26:10.9287728Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file 2025-12-04T09:26:10.9289267Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0 2025-12-04T09:26:10.9290844Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file 2025-12-04T09:26:10.9292501Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0 2025-12-04T09:26:10.9294155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file 2025-12-04T09:26:10.9295917Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0 2025-12-04T09:26:10.9297559Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-12-04T09:26:10.9299174Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-12-04T09:26:10.9300686Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-12-04T09:26:10.9302229Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0 2025-12-04T09:26:10.9303856Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file 2025-12-04T09:26:10.9305635Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-12-04T09:26:10.9307423Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file 2025-12-04T09:26:10.9309306Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-12-04T09:26:10.9311219Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-12-04T09:26:10.9313250Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-12-04T09:26:10.9315049Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file 2025-12-04T09:26:10.9316746Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-12-04T09:26:10.9318439Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-12-04T09:26:10.9320201Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0 2025-12-04T09:26:10.9322069Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-12-04T09:26:10.9324070Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-12-04T09:26:10.9325746Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-12-04T09:26:10.9327326Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0 2025-12-04T09:26:10.9329075Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-12-04T09:26:10.9331022Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-12-04T09:26:10.9332823Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-12-04T09:26:10.9334514Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0 2025-12-04T09:26:10.9336512Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-12-04T09:26:10.9338104Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-12-04T09:26:10.9339732Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-12-04T09:26:10.9341451Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-12-04T09:26:10.9343150Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-12-04T09:26:10.9344879Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-12-04T09:26:10.9346582Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-12-04T09:26:10.9348341Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0 2025-12-04T09:26:10.9350084Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-12-04T09:26:10.9351876Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-12-04T09:26:10.9353603Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-12-04T09:26:10.9355362Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-12-04T09:26:10.9357009Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-12-04T09:26:10.9358624Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0 2025-12-04T09:26:10.9360258Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-12-04T09:26:10.9362011Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-12-04T09:26:10.9364080Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-12-04T09:26:10.9365787Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-12-04T09:26:10.9367534Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-12-04T09:26:10.9369380Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-12-04T09:26:10.9371390Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 63 <- wrt source file 2025-12-04T09:26:10.9373608Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2025-12-04T09:26:10.9375637Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 24 <- wrt source file 2025-12-04T09:26:10.9377588Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0 2025-12-04T09:26:10.9379417Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-12-04T09:26:10.9381180Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-12-04T09:26:10.9382840Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-12-04T09:26:10.9384454Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-12-04T09:26:10.9385840Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-12-04T09:26:10.9387122Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0 2025-12-04T09:26:10.9388525Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file 2025-12-04T09:26:10.9390128Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-12-04T09:26:10.9391516Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-12-04T09:26:10.9392809Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0 2025-12-04T09:26:10.9394089Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-12-04T09:26:10.9395402Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0 2025-12-04T09:26:10.9396808Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file 2025-12-04T09:26:10.9398340Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0 2025-12-04T09:26:10.9399998Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file 2025-12-04T09:26:10.9401725Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0 2025-12-04T09:26:10.9403181Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-12-04T09:26:10.9404580Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0 2025-12-04T09:26:10.9405940Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file 2025-12-04T09:26:10.9407358Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0 2025-12-04T09:26:10.9408777Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file 2025-12-04T09:26:10.9410214Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0 2025-12-04T09:26:10.9411772Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file 2025-12-04T09:26:10.9413458Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2025-12-04T09:26:10.9414913Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2025-12-04T09:26:10.9416220Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0 2025-12-04T09:26:10.9417503Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-12-04T09:26:10.9418828Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-12-04T09:26:10.9420130Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file 2025-12-04T09:26:10.9421473Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-12-04T09:26:10.9422748Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-12-04T09:26:10.9424051Z * SUCCESS: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file 2025-12-04T09:26:10.9683509Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0 2025-12-04T09:26:10.9685299Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file 2025-12-04T09:26:10.9686733Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0 2025-12-04T09:26:10.9688329Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0, line 94 <- wrt source file 2025-12-04T09:26:10.9690109Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0 2025-12-04T09:26:10.9692227Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file 2025-12-04T09:26:10.9694494Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0 2025-12-04T09:26:10.9696348Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file 2025-12-04T09:26:10.9697796Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0 2025-12-04T09:26:10.9699213Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file 2025-12-04T09:26:10.9700663Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0 2025-12-04T09:26:10.9731481Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file 2025-12-04T09:26:10.9732933Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2025-12-04T09:26:10.9734375Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 470 <- wrt source file 2025-12-04T09:26:10.9835389Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2025-12-04T09:26:10.9837288Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 589 <- wrt source file 2025-12-04T09:26:11.1454896Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-12-04T09:26:11.1487139Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file 2025-12-04T09:26:11.1526607Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-12-04T09:26:11.1528171Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file 2025-12-04T09:26:11.1539649Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0 2025-12-04T09:26:11.1541579Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file 2025-12-04T09:26:11.1561705Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0 2025-12-04T09:26:11.1563247Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file 2025-12-04T09:26:11.1601121Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0 2025-12-04T09:26:11.1602642Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file 2025-12-04T09:26:11.1632017Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0 2025-12-04T09:26:11.1633595Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file 2025-12-04T09:26:11.1644074Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0 2025-12-04T09:26:11.1645709Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3542 <- wrt source file 2025-12-04T09:26:11.1663720Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-12-04T09:26:11.1665464Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3613 <- wrt source file 2025-12-04T09:26:11.1688951Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-12-04T09:26:11.1690616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file 2025-12-04T09:26:11.1701700Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0 2025-12-04T09:26:11.1703143Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-12-04T09:26:11.1735845Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0 2025-12-04T09:26:11.1737317Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-12-04T09:26:11.1741907Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-12-04T09:26:11.1743371Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-12-04T09:26:11.1769277Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0 2025-12-04T09:26:11.1770730Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-12-04T09:26:11.1775839Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-12-04T09:26:11.1777292Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-12-04T09:26:11.2393771Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0 2025-12-04T09:26:11.2395452Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-12-04T09:26:11.2446836Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-12-04T09:26:11.2449291Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file 2025-12-04T09:26:11.2452308Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0 2025-12-04T09:26:11.2453870Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file 2025-12-04T09:26:11.2457076Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0 2025-12-04T09:26:11.2458481Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file 2025-12-04T09:26:11.2462030Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0 2025-12-04T09:26:11.2463458Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file 2025-12-04T09:26:11.2488855Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0 2025-12-04T09:26:11.2490286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file 2025-12-04T09:26:11.2493876Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0 2025-12-04T09:26:11.2495277Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file 2025-12-04T09:26:11.2498500Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0 2025-12-04T09:26:11.2499849Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file 2025-12-04T09:26:11.2503066Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0 2025-12-04T09:26:11.2504434Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file 2025-12-04T09:26:11.2508002Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0 2025-12-04T09:26:11.2509367Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file 2025-12-04T09:26:11.2514645Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0 2025-12-04T09:26:11.2516090Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file 2025-12-04T09:26:11.2519964Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-12-04T09:26:11.2521454Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file 2025-12-04T09:26:11.2524785Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0 2025-12-04T09:26:11.2526282Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file 2025-12-04T09:26:11.2530031Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-12-04T09:26:11.2531530Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file 2025-12-04T09:26:11.2535509Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-12-04T09:26:11.2537387Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file 2025-12-04T09:26:11.2538870Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0 2025-12-04T09:26:11.2540291Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file 2025-12-04T09:26:11.2543682Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0 2025-12-04T09:26:11.2545694Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 124 <- wrt source file 2025-12-04T09:26:11.2547431Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-12-04T09:26:11.2549256Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0, line 47 <- wrt source file 2025-12-04T09:26:11.2551237Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0 2025-12-04T09:26:11.2553125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0, line 78 <- wrt source file 2025-12-04T09:26:11.2555045Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0 2025-12-04T09:26:11.2556792Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2025-12-04T09:26:11.2558384Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-12-04T09:26:11.2559998Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0, line 166 <- wrt source file 2025-12-04T09:26:11.2561656Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0 2025-12-04T09:26:11.2563290Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-12-04T09:26:11.2569467Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-12-04T09:26:11.2571111Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-12-04T09:26:11.2578155Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-12-04T09:26:11.2579594Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-12-04T09:26:11.2584305Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-12-04T09:26:11.2585597Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-12-04T09:26:11.2590542Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-12-04T09:26:11.2591833Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-12-04T09:26:11.2596177Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-12-04T09:26:11.2597596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-12-04T09:26:11.2601529Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-12-04T09:26:11.2602859Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-12-04T09:26:11.2607073Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-12-04T09:26:11.2608383Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-12-04T09:26:11.2612882Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-12-04T09:26:11.2614160Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-12-04T09:26:11.2618671Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-12-04T09:26:11.2619937Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-12-04T09:26:11.2624614Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0 2025-12-04T09:26:11.2625900Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-12-04T09:26:11.2630390Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-12-04T09:26:11.2631682Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-12-04T09:26:11.2636826Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0 2025-12-04T09:26:11.2638082Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-12-04T09:26:11.2642754Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0 2025-12-04T09:26:11.2644085Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-12-04T09:26:11.2648344Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0 2025-12-04T09:26:11.2649601Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-12-04T09:26:11.2654278Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0 2025-12-04T09:26:11.2655531Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-12-04T09:26:11.2770150Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0 2025-12-04T09:26:11.2771783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-12-04T09:26:11.2775806Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-12-04T09:26:11.2777458Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-12-04T09:26:11.2788030Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-12-04T09:26:11.2789820Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-12-04T09:26:11.2793614Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-12-04T09:26:11.2795242Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-12-04T09:26:11.2799944Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-12-04T09:26:11.2801608Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-12-04T09:26:11.2805796Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-12-04T09:26:11.2807555Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file 2025-12-04T09:26:11.2809376Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-12-04T09:26:11.2811057Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file 2025-12-04T09:26:11.2821707Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-12-04T09:26:11.2823319Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file 2025-12-04T09:26:11.2827633Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-12-04T09:26:11.2829286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file 2025-12-04T09:26:11.2833043Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-12-04T09:26:11.2834946Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file 2025-12-04T09:26:11.2839032Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-12-04T09:26:11.2840647Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file 2025-12-04T09:26:11.2844324Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-12-04T09:26:11.2845969Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file 2025-12-04T09:26:11.2849974Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-12-04T09:26:11.2851636Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file 2025-12-04T09:26:11.2855170Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-12-04T09:26:11.2856832Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file 2025-12-04T09:26:11.2911829Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-12-04T09:26:11.2913627Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file 2025-12-04T09:26:11.3459073Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-12-04T09:26:11.3460746Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file 2025-12-04T09:26:11.8815713Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-12-04T09:26:11.8980954Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file 2025-12-04T09:26:11.8983514Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2025-12-04T09:26:11.8985062Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 857 <- wrt source file 2025-12-04T09:26:11.8986677Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2025-12-04T09:26:11.8988198Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-12-04T09:26:11.9025383Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-12-04T09:26:11.9027705Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-12-04T09:26:11.9029444Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0 2025-12-04T09:26:11.9031152Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 263 <- wrt source file 2025-12-04T09:26:11.9039866Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-12-04T09:26:11.9041624Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 286 <- wrt source file 2025-12-04T09:26:11.9050402Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-12-04T09:26:11.9052152Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 317 <- wrt source file 2025-12-04T09:26:11.9062517Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-12-04T09:26:11.9064248Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file 2025-12-04T09:26:11.9065933Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-12-04T09:26:11.9067574Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file 2025-12-04T09:26:11.9069263Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-12-04T09:26:11.9070916Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file 2025-12-04T09:26:11.9072970Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-12-04T09:26:11.9074785Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file 2025-12-04T09:26:11.9076506Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-12-04T09:26:11.9078222Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-12-04T09:26:11.9079987Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-12-04T09:26:11.9081700Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-12-04T09:26:11.9091820Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-12-04T09:26:11.9093485Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-12-04T09:26:11.9098080Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-12-04T09:26:11.9099654Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-12-04T09:26:11.9105836Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-12-04T09:26:11.9107415Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-12-04T09:26:11.9161028Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-12-04T09:26:11.9162633Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-12-04T09:26:11.9359476Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-12-04T09:26:11.9361100Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-12-04T09:26:11.9365250Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-12-04T09:26:11.9366960Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-12-04T09:26:11.9573646Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-12-04T09:26:11.9575335Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file 2025-12-04T09:26:11.9581474Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-12-04T09:26:11.9583029Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file 2025-12-04T09:26:11.9606767Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2025-12-04T09:26:11.9608324Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-12-04T09:26:11.9613589Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0 2025-12-04T09:26:11.9615621Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-12-04T09:26:11.9675046Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-12-04T09:26:11.9676705Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file 2025-12-04T09:26:11.9697236Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-12-04T09:26:11.9698996Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file 2025-12-04T09:26:12.0175828Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-12-04T09:26:12.0177656Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file 2025-12-04T09:26:12.5485718Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-12-04T09:26:12.5650732Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-12-04T09:26:12.5656364Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-12-04T09:26:12.5657663Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-12-04T09:26:12.5667692Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0 2025-12-04T09:26:12.5668959Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-12-04T09:26:12.5697257Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0 2025-12-04T09:26:12.5698506Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-12-04T09:26:12.5720519Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-12-04T09:26:12.5721742Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file 2025-12-04T09:26:12.5731273Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-12-04T09:26:12.5732497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file 2025-12-04T09:26:12.5781884Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-12-04T09:26:12.5783537Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file 2025-12-04T09:26:12.5790412Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-12-04T09:26:12.5792077Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file 2025-12-04T09:26:12.5808652Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-12-04T09:26:12.5810569Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file 2025-12-04T09:26:12.5818712Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-12-04T09:26:12.5820231Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file 2025-12-04T09:26:12.5853323Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-12-04T09:26:12.5854839Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file 2025-12-04T09:26:12.5861791Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-12-04T09:26:12.5863383Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file 2025-12-04T09:26:12.5876217Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-12-04T09:26:12.5877879Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file 2025-12-04T09:26:12.5883923Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-12-04T09:26:12.5885620Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file 2025-12-04T09:26:12.5895186Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-12-04T09:26:12.5896863Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file 2025-12-04T09:26:12.5907311Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-12-04T09:26:12.5909032Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file 2025-12-04T09:26:12.5910718Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-12-04T09:26:12.5912381Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file 2025-12-04T09:26:12.5922242Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-12-04T09:26:12.5923995Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file 2025-12-04T09:26:12.5931784Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-12-04T09:26:12.5933439Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file 2025-12-04T09:26:12.5943091Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-12-04T09:26:12.5944759Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file 2025-12-04T09:26:12.5961739Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-12-04T09:26:12.5963540Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file 2025-12-04T09:26:12.5998185Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2025-12-04T09:26:12.5999868Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file 2025-12-04T09:26:12.6031314Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2025-12-04T09:26:12.6032970Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 554 <- wrt source file 2025-12-04T09:26:12.6035064Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-12-04T09:26:12.6036754Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1048 <- wrt source file 2025-12-04T09:26:12.6052335Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-12-04T09:26:12.6053918Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0, line 1299 <- wrt source file 2025-12-04T09:26:12.6062361Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0 2025-12-04T09:26:12.6063986Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2232 <- wrt source file 2025-12-04T09:26:12.6065700Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-12-04T09:26:12.6067394Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2678 <- wrt source file 2025-12-04T09:26:12.6069130Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-12-04T09:26:12.6070861Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2706 <- wrt source file 2025-12-04T09:26:12.6072663Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-12-04T09:26:12.6074365Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2733 <- wrt source file 2025-12-04T09:26:12.6076043Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-12-04T09:26:12.6077729Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2760 <- wrt source file 2025-12-04T09:26:12.6079474Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-12-04T09:26:12.6081187Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2791 <- wrt source file 2025-12-04T09:26:12.6082947Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-12-04T09:26:12.6084706Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2815 <- wrt source file 2025-12-04T09:26:12.6086388Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-12-04T09:26:12.6088327Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2853 <- wrt source file 2025-12-04T09:26:12.6090182Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-12-04T09:26:12.6091951Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-12-04T09:26:12.6156041Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-12-04T09:26:12.6157809Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-12-04T09:26:12.6178457Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-12-04T09:26:12.6180162Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-12-04T09:26:12.6205790Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-12-04T09:26:12.6207455Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file 2025-12-04T09:26:12.6213323Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-12-04T09:26:12.6214944Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-12-04T09:26:12.6231597Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-12-04T09:26:12.6233250Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file 2025-12-04T09:26:12.6259770Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-12-04T09:26:12.6261413Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file 2025-12-04T09:26:13.9202883Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-12-04T09:26:13.9535404Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file 2025-12-04T09:26:13.9548904Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-12-04T09:26:13.9550279Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file 2025-12-04T09:26:13.9558181Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-12-04T09:26:13.9559515Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file 2025-12-04T09:26:13.9611505Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-12-04T09:26:13.9648689Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file 2025-12-04T09:26:13.9650456Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-12-04T09:26:13.9652488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file 2025-12-04T09:26:13.9666529Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-12-04T09:26:13.9668191Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file 2025-12-04T09:26:13.9679111Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-12-04T09:26:13.9680821Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file 2025-12-04T09:26:13.9696097Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-12-04T09:26:13.9697793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file 2025-12-04T09:26:13.9713228Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-12-04T09:26:13.9714923Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file 2025-12-04T09:26:15.0320540Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-12-04T09:26:15.0796374Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file 2025-12-04T09:26:15.0813027Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-12-04T09:26:15.0814381Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file 2025-12-04T09:26:15.0825244Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-12-04T09:26:15.0826514Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file 2025-12-04T09:26:15.0888233Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-12-04T09:26:15.0889950Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-12-04T09:26:15.0901960Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-12-04T09:26:15.0903771Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-12-04T09:26:15.0914426Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-12-04T09:26:15.0916159Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-12-04T09:26:15.0943202Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-12-04T09:26:15.0944873Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-12-04T09:26:15.1065246Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-12-04T09:26:15.1066851Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-12-04T09:26:15.5062304Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-12-04T09:26:15.5130513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-12-04T09:26:15.5146735Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-12-04T09:26:15.5148364Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file 2025-12-04T09:26:15.5174480Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2025-12-04T09:26:15.5176101Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-12-04T09:26:15.6657569Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-12-04T09:26:15.6659223Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-12-04T09:26:15.6681811Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-12-04T09:26:15.6683385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-12-04T09:26:15.6770192Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-12-04T09:26:15.6771827Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-12-04T09:26:16.0478852Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-12-04T09:26:16.0563621Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-12-04T09:26:16.0664339Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-12-04T09:26:16.0666161Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-12-04T09:26:16.2028051Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-12-04T09:26:16.2029779Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file 2025-12-04T09:26:16.2041548Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-12-04T09:26:16.2043182Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file 2025-12-04T09:26:16.2142435Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-12-04T09:26:16.2144056Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file 2025-12-04T09:26:16.6395005Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-12-04T09:26:16.6452136Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file 2025-12-04T09:26:16.6481664Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-12-04T09:26:16.6483570Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file 2025-12-04T09:26:16.6494917Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-12-04T09:26:16.6496661Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file 2025-12-04T09:26:16.6538675Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-12-04T09:26:16.6540421Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file 2025-12-04T09:26:16.6563739Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-12-04T09:26:16.6565488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file 2025-12-04T09:26:16.6575786Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-12-04T09:26:16.6577504Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file 2025-12-04T09:26:16.6608913Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-12-04T09:26:16.6610484Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file 2025-12-04T09:26:16.6629827Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-12-04T09:26:16.6631304Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file 2025-12-04T09:26:16.7251082Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-12-04T09:26:16.7252780Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file 2025-12-04T09:26:16.7274094Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-12-04T09:26:16.7275743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file 2025-12-04T09:26:16.7289707Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-12-04T09:26:16.7291241Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file 2025-12-04T09:26:16.7304256Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-12-04T09:26:16.7305809Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file 2025-12-04T09:26:16.7321454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-12-04T09:26:16.7323027Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-12-04T09:26:16.7341358Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-12-04T09:26:16.7343414Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file 2025-12-04T09:26:16.7349074Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-12-04T09:26:16.7350791Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file 2025-12-04T09:26:16.7376603Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2025-12-04T09:26:16.7378343Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 523 <- wrt source file 2025-12-04T09:26:16.7385472Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-12-04T09:26:16.7387275Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file 2025-12-04T09:26:17.6131832Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-12-04T09:26:17.6282640Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 267 <- wrt source file 2025-12-04T09:26:17.6284265Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2025-12-04T09:26:17.6285714Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file 2025-12-04T09:26:17.7452949Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-12-04T09:26:17.7457140Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file 2025-12-04T09:26:17.9952972Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-12-04T09:26:17.9960915Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file 2025-12-04T09:26:18.0293653Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-12-04T09:26:18.0295607Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file 2025-12-04T09:26:18.0898141Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-12-04T09:26:18.0899947Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-12-04T09:26:18.0966127Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-12-04T09:26:18.0967857Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-12-04T09:26:18.0983639Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-12-04T09:26:18.0985449Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-12-04T09:26:18.0995071Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-12-04T09:26:18.0996980Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 128 <- wrt source file 2025-12-04T09:26:18.0998759Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-12-04T09:26:18.1000584Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file 2025-12-04T09:26:18.1002514Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-12-04T09:26:18.1004506Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1451 <- wrt source file 2025-12-04T09:26:18.1006579Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-12-04T09:26:18.1008572Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1838 <- wrt source file 2025-12-04T09:26:18.1010587Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2025-12-04T09:26:18.1012652Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 2004 <- wrt source file 2025-12-04T09:26:18.1014850Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-12-04T09:26:18.1017014Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2014 <- wrt source file 2025-12-04T09:26:18.1019216Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-12-04T09:26:18.1021436Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2049 <- wrt source file 2025-12-04T09:26:18.1023722Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-12-04T09:26:18.1025591Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2107 <- wrt source file 2025-12-04T09:26:18.1027383Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2025-12-04T09:26:18.1028966Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2025-12-04T09:26:18.1030462Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2025-12-04T09:26:18.1031784Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2025-12-04T09:26:18.1033002Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0 2025-12-04T09:26:18.1034497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 64 <- wrt source file 2025-12-04T09:26:18.1036486Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2025-12-04T09:26:18.1038060Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 143 <- wrt source file 2025-12-04T09:26:18.1039643Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2025-12-04T09:26:18.1041139Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file 2025-12-04T09:26:18.1042555Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-12-04T09:26:18.1044016Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 362 <- wrt source file 2025-12-04T09:26:18.1045436Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-12-04T09:26:18.1046836Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 593 <- wrt source file 2025-12-04T09:26:18.1048271Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-12-04T09:26:18.1049567Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file 2025-12-04T09:26:18.1050803Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0 2025-12-04T09:26:18.1052063Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 888 <- wrt source file 2025-12-04T09:26:18.1053423Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-12-04T09:26:18.1054723Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 931 <- wrt source file 2025-12-04T09:26:18.1056024Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-12-04T09:26:18.1057296Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0, line 971 <- wrt source file 2025-12-04T09:26:18.1058620Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-12-04T09:26:18.1059899Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1017 <- wrt source file 2025-12-04T09:26:18.1084608Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0 2025-12-04T09:26:18.1085903Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1072 <- wrt source file 2025-12-04T09:26:18.1105210Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2025-12-04T09:26:18.1106521Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1175 <- wrt source file 2025-12-04T09:26:18.1117307Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2025-12-04T09:26:18.1118733Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file 2025-12-04T09:26:18.1126038Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0 2025-12-04T09:26:18.1127256Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1231 <- wrt source file 2025-12-04T09:26:18.1137210Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-12-04T09:26:18.1156585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 359 <- wrt source file 2025-12-04T09:26:18.1157914Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2025-12-04T09:26:18.1159171Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file 2025-12-04T09:26:18.1164308Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-12-04T09:26:18.1165550Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file 2025-12-04T09:26:18.1188951Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-12-04T09:26:18.1190490Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file 2025-12-04T09:26:18.1198375Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-12-04T09:26:18.1199917Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file 2025-12-04T09:26:18.1221137Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-12-04T09:26:18.1222769Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file 2025-12-04T09:26:18.1230091Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-12-04T09:26:18.1231824Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 347 <- wrt source file 2025-12-04T09:26:18.1239063Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-12-04T09:26:18.1240794Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 193 <- wrt source file 2025-12-04T09:26:18.1244181Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-12-04T09:26:18.1245814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file 2025-12-04T09:26:18.1264225Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-12-04T09:26:18.1265884Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file 2025-12-04T09:26:18.1271747Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-12-04T09:26:18.1273753Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2025-12-04T09:26:18.1275734Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-12-04T09:26:18.1277775Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file 2025-12-04T09:26:18.1280092Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2025-12-04T09:26:18.1281981Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file 2025-12-04T09:26:18.1283556Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-12-04T09:26:18.1285250Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file 2025-12-04T09:26:18.1286947Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-12-04T09:26:18.1288541Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file 2025-12-04T09:26:18.1290118Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-12-04T09:26:18.1291688Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file 2025-12-04T09:26:18.1293312Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-12-04T09:26:18.1294882Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file 2025-12-04T09:26:18.1296503Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-12-04T09:26:18.1298060Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file 2025-12-04T09:26:18.1299637Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-12-04T09:26:18.1301226Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file 2025-12-04T09:26:18.1302895Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-12-04T09:26:18.1304530Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file 2025-12-04T09:26:18.1306187Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2025-12-04T09:26:18.1307794Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file 2025-12-04T09:26:18.1309490Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-12-04T09:26:18.1311155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file 2025-12-04T09:26:18.1324447Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-12-04T09:26:18.1326637Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file 2025-12-04T09:26:18.1328483Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-12-04T09:26:18.1330098Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file 2025-12-04T09:26:18.1331719Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2025-12-04T09:26:18.1333449Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file 2025-12-04T09:26:18.1335595Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0 2025-12-04T09:26:18.1337490Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 2211 <- wrt source file 2025-12-04T09:26:18.1339458Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-12-04T09:26:18.1341389Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 2227 <- wrt source file 2025-12-04T09:26:18.1343351Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-12-04T09:26:18.1345088Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file 2025-12-04T09:26:18.1346713Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2025-12-04T09:26:18.1348400Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0, line 900 <- wrt source file 2025-12-04T09:26:18.1350176Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0 2025-12-04T09:26:18.1351852Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file 2025-12-04T09:26:18.1353448Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0 2025-12-04T09:26:18.1355028Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file 2025-12-04T09:26:18.1356626Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1 2025-12-04T09:26:18.1358173Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0, line 350 <- wrt source file 2025-12-04T09:26:18.1359702Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0 2025-12-04T09:26:18.1361192Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file 2025-12-04T09:26:18.1362685Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0 2025-12-04T09:26:18.1364291Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-12-04T09:26:18.1378646Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file 2025-12-04T09:26:18.1386216Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0 2025-12-04T09:26:18.1387797Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-12-04T09:26:18.1389406Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0 2025-12-04T09:26:18.1391097Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 648 <- wrt source file 2025-12-04T09:26:18.1392906Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 359 <- wrt source file 2025-12-04T09:26:18.1449886Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-12-04T09:26:18.1451160Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 396 <- wrt source file 2025-12-04T09:26:18.1455794Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-12-04T09:26:18.1457060Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 429 <- wrt source file 2025-12-04T09:26:18.1463555Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-12-04T09:26:18.1464812Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 464 <- wrt source file 2025-12-04T09:26:18.1469805Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-12-04T09:26:18.1471087Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 499 <- wrt source file 2025-12-04T09:26:18.1476208Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-12-04T09:26:18.1477460Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 536 <- wrt source file 2025-12-04T09:26:18.1484040Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-12-04T09:26:18.1485603Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 929 <- wrt source file 2025-12-04T09:26:18.1495352Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-12-04T09:26:18.1496661Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file 2025-12-04T09:26:18.1509341Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-12-04T09:26:18.1510643Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file 2025-12-04T09:26:18.1521844Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0 2025-12-04T09:26:18.1523125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1058 <- wrt source file 2025-12-04T09:26:18.1529210Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-12-04T09:26:18.1530423Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file 2025-12-04T09:26:18.1537654Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0 2025-12-04T09:26:18.1539029Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 71 <- wrt source file 2025-12-04T09:26:18.1540603Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-12-04T09:26:18.1542244Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 382 <- wrt source file 2025-12-04T09:26:18.1543959Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2025-12-04T09:26:18.1554179Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file 2025-12-04T09:26:18.1555672Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2025-12-04T09:26:18.1557180Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1421 <- wrt source file 2025-12-04T09:26:18.1562210Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2025-12-04T09:26:18.1563639Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file 2025-12-04T09:26:18.1565064Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2025-12-04T09:26:18.1566399Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file 2025-12-04T09:26:18.1567758Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2025-12-04T09:26:18.1569073Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file 2025-12-04T09:26:18.1570428Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2025-12-04T09:26:18.1571753Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file 2025-12-04T09:26:18.1573107Z * SKIPPED: 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2025-12-04T09:26:18.1589672Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file 2025-12-04T09:26:18.1591203Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2025-12-04T09:26:18.1592717Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 742 <- wrt source file 2025-12-04T09:26:18.2133180Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-12-04T09:26:18.2134903Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-12-04T09:26:18.2141560Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-12-04T09:26:18.2142890Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file 2025-12-04T09:26:18.2144235Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-12-04T09:26:18.2145528Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0, line 438 <- wrt source file 2025-12-04T09:26:18.2147170Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0 2025-12-04T09:26:18.2148534Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file 2025-12-04T09:26:18.2150019Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2025-12-04T09:26:18.2151355Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file 2025-12-04T09:26:18.2152630Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-12-04T09:26:18.2153959Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file 2025-12-04T09:26:18.2155429Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-12-04T09:26:18.2156799Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file 2025-12-04T09:26:18.2163094Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-12-04T09:26:18.2164525Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2025-12-04T09:26:18.2167407Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-12-04T09:26:18.2168763Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2025-12-04T09:26:18.2173535Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-12-04T09:26:18.2174895Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 367 <- wrt source file 2025-12-04T09:26:18.2180202Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-12-04T09:26:18.2181646Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file 2025-12-04T09:26:18.2184008Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-12-04T09:26:18.2185474Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 269 <- wrt source file 2025-12-04T09:26:18.2186956Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-12-04T09:26:18.2188489Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file 2025-12-04T09:26:18.2190130Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-12-04T09:26:18.2191743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 202 <- wrt source file 2025-12-04T09:26:18.2200029Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-12-04T09:26:18.2201874Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file 2025-12-04T09:26:18.2203607Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:26:18.2205359Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file 2025-12-04T09:26:18.2230617Z * SKIPPED: 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source file 2025-12-04T09:26:18.2240729Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2025-12-04T09:26:18.2242437Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 615 <- wrt source file 2025-12-04T09:26:18.2244234Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2025-12-04T09:26:18.2245896Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 685 <- wrt source file 2025-12-04T09:26:18.2247532Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2025-12-04T09:26:18.2249199Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 29 <- wrt source file 2025-12-04T09:26:18.2250918Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-12-04T09:26:18.2252614Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 33 <- wrt source file 2025-12-04T09:26:18.2254308Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-12-04T09:26:18.2255953Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 41 <- wrt source file 2025-12-04T09:26:18.2257604Z * SKIPPED: 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source file 2025-12-04T09:26:18.2267716Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-12-04T09:26:18.2269416Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 24 <- wrt source file 2025-12-04T09:26:18.2271189Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-12-04T09:26:18.2272900Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file 2025-12-04T09:26:18.2274614Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-12-04T09:26:18.2276234Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 36 <- wrt source file 2025-12-04T09:26:18.2277827Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-12-04T09:26:18.2279469Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file 2025-12-04T09:26:18.2281184Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:26:18.2282832Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file 2025-12-04T09:26:18.2284553Z * SKIPPED: 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file 2025-12-04T09:26:18.2294270Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-12-04T09:26:18.2295949Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file 2025-12-04T09:26:18.2297596Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-12-04T09:26:18.2299136Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2025-12-04T09:26:18.2300679Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-12-04T09:26:18.2302161Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2025-12-04T09:26:18.9278711Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-12-04T09:26:18.9280283Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2025-12-04T09:26:18.9281811Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-12-04T09:26:18.9283299Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 217 <- wrt source file 2025-12-04T09:26:18.9284905Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-12-04T09:26:18.9286421Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 322 <- wrt source file 2025-12-04T09:26:18.9287981Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-12-04T09:26:18.9289507Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 370 <- wrt source file 2025-12-04T09:26:18.9291043Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-12-04T09:26:18.9292554Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 402 <- wrt source file 2025-12-04T09:26:18.9294106Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-12-04T09:26:18.9295629Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 450 <- wrt source file 2025-12-04T09:26:18.9297375Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-12-04T09:26:18.9298921Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 489 <- wrt source file 2025-12-04T09:26:18.9300502Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-12-04T09:26:18.9302079Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 542 <- wrt source file 2025-12-04T09:26:18.9303715Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2025-12-04T09:26:18.9305570Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 608 <- wrt source file 2025-12-04T09:26:18.9307226Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2025-12-04T09:26:18.9309239Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 657 <- wrt source file 2025-12-04T09:26:18.9311733Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2025-12-04T09:26:18.9313716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 820 <- wrt source file 2025-12-04T09:26:18.9315959Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-12-04T09:26:18.9317596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 887 <- wrt source file 2025-12-04T09:26:18.9320164Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-12-04T09:26:18.9323790Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 998 <- wrt source file 2025-12-04T09:26:18.9326028Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-12-04T09:26:18.9328415Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1072 <- wrt source file 2025-12-04T09:26:18.9331051Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-12-04T09:26:18.9333548Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1093 <- wrt source file 2025-12-04T09:26:18.9336248Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-12-04T09:26:18.9338865Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1118 <- wrt source file 2025-12-04T09:26:18.9341116Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-12-04T09:26:18.9342685Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1164 <- wrt source file 2025-12-04T09:26:18.9344219Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-12-04T09:26:18.9345009Z ============ 2025-12-04T09:26:18.9345277Z Finished doctests 2025-12-04T09:26:18.9345518Z 378 / 894 passed 2025-12-04T09:26:18.9345766Z  2025-12-04T09:26:18.9346061Z === Found 17 parse-time warnings === 2025-12-04T09:26:18.9346495Z --- Parse Warning: 1 / 17 --- 2025-12-04T09:26:18.9347652Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368. 2025-12-04T09:26:18.9348925Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9349785Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:26:18.9350360Z 2025-12-04T09:26:18.9350709Z This function only works for a library with global namespace ("_"). 2025-12-04T09:26:18.9351135Z 2025-12-04T09:26:18.9351345Z Args: 2025-12-04T09:26:18.9351791Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:26:18.9352322Z to register a fallthrough. 2025-12-04T09:26:18.9352903Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:26:18.9353545Z the dispatch key that the library was created with. 2025-12-04T09:26:18.9354245Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:26:18.9355086Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:26:18.9355648Z 2025-12-04T09:26:18.9355861Z Example:: 2025-12-04T09:26:18.9356093Z 2025-12-04T09:26:18.9356324Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:26:18.9356701Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:26:18.9357086Z >>> # Handle all autocast ops generically 2025-12-04T09:26:18.9357442Z >>> # ... 2025-12-04T09:26:18.9357777Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:26:18.9358141Z 2025-12-04T09:26:18.9358934Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:26:18.9359804Z 2025-12-04T09:26:18.9360059Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:26:18.9360386Z ^ 2025-12-04T09:26:18.9360602Z warnings.warn(msg) 2025-12-04T09:26:18.9360865Z 2025-12-04T09:26:18.9361169Z --- Parse Warning: 2 / 17 --- 2025-12-04T09:26:18.9362306Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958. 2025-12-04T09:26:18.9363578Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9364284Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:26:18.9364718Z 2025-12-04T09:26:18.9365022Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:26:18.9365411Z 2025-12-04T09:26:18.9365775Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:26:18.9366391Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:26:18.9366995Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:26:18.9367532Z what the properties of the output Tensors are. 2025-12-04T09:26:18.9367870Z 2025-12-04T09:26:18.9368225Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:26:18.9368811Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:26:18.9369370Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:26:18.9369936Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:26:18.9370491Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:26:18.9371076Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:26:18.9371635Z (and may not directly access the storage or data of any input or 2025-12-04T09:26:18.9372067Z intermediate Tensors). 2025-12-04T09:26:18.9372349Z 2025-12-04T09:26:18.9372748Z This API may be used as a decorator (see examples). 2025-12-04T09:26:18.9373189Z 2025-12-04T09:26:18.9373453Z For a detailed guide on custom ops, please see 2025-12-04T09:26:18.9373976Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:26:18.9374435Z 2025-12-04T09:26:18.9374643Z Args: 2025-12-04T09:26:18.9375001Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:26:18.9375490Z func: Fake tensor implementation. 2025-12-04T09:26:18.9375938Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:26:18.9376464Z allow_override: Flag controlling if we want to override an 2025-12-04T09:26:18.9376953Z existing registered fake impl. This is by default off, 2025-12-04T09:26:18.9377448Z and will error you're trying to register a fake impl to 2025-12-04T09:26:18.9377943Z an operator that already has a fake impl. This also only 2025-12-04T09:26:18.9378430Z applies if the custom operator was not created via 2025-12-04T09:26:18.9378911Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:26:18.9379359Z impl is already allowed. 2025-12-04T09:26:18.9379687Z 2025-12-04T09:26:18.9379881Z Examples: 2025-12-04T09:26:18.9380126Z >>> import torch 2025-12-04T09:26:18.9380421Z >>> import numpy as np 2025-12-04T09:26:18.9380725Z >>> from torch import Tensor 2025-12-04T09:26:18.9381033Z >>> 2025-12-04T09:26:18.9381367Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:26:18.9381909Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:26:18.9382490Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:26:18.9383043Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:26:18.9383442Z >>> 2025-12-04T09:26:18.9383742Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:26:18.9384145Z >>> def _(x, weight, bias): 2025-12-04T09:26:18.9384465Z >>> assert x.dim() == 2 2025-12-04T09:26:18.9384783Z >>> assert weight.dim() == 2 2025-12-04T09:26:18.9385123Z >>> assert bias.dim() == 1 2025-12-04T09:26:18.9385481Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:26:18.9385870Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:26:18.9386245Z >>> assert x.device == weight.device 2025-12-04T09:26:18.9386572Z >>> 2025-12-04T09:26:18.9386828Z >>> return (x @ weight.t()) + bias 2025-12-04T09:26:18.9387138Z >>> 2025-12-04T09:26:18.9387451Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:26:18.9387868Z >>> x = torch.randn(2, 3) 2025-12-04T09:26:18.9388186Z >>> w = torch.randn(3, 3) 2025-12-04T09:26:18.9388509Z >>> b = torch.randn(3) 2025-12-04T09:26:18.9388866Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:26:18.9389204Z >>> 2025-12-04T09:26:18.9389449Z >>> assert y.shape == (2, 3) 2025-12-04T09:26:18.9389756Z >>> 2025-12-04T09:26:18.9390074Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:26:18.9390600Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:26:18.9391088Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:26:18.9391457Z >>> x_np = x.numpy(force=True) 2025-12-04T09:26:18.9391816Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:26:18.9392218Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:26:18.9392846Z >>> 2025-12-04T09:26:18.9393444Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:26:18.9394051Z >>> def _(x): 2025-12-04T09:26:18.9394386Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:26:18.9394815Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:26:18.9395269Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:26:18.9395694Z >>> # represents the data-dependent size. 2025-12-04T09:26:18.9396075Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:26:18.9396428Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:26:18.9396781Z >>> shape = [nnz, x.dim()] 2025-12-04T09:26:18.9397164Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:26:18.9397531Z >>> return result 2025-12-04T09:26:18.9397823Z >>> 2025-12-04T09:26:18.9398167Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:26:18.9398556Z >>> 2025-12-04T09:26:18.9398819Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:26:18.9399313Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:26:18.9399818Z >>> trace.print_readable() 2025-12-04T09:26:18.9400110Z >>> 2025-12-04T09:26:18.9400489Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:26:18.9400939Z 2025-12-04T09:26:18.9401130Z 2025-12-04T09:26:18.9401821Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:26:18.9402584Z 2025-12-04T09:26:18.9402769Z _._ = None 2025-12-04T09:26:18.9402983Z ^ 2025-12-04T09:26:18.9403197Z warnings.warn(msg) 2025-12-04T09:26:18.9403441Z 2025-12-04T09:26:18.9403896Z --- Parse Warning: 3 / 17 --- 2025-12-04T09:26:18.9405022Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530. 2025-12-04T09:26:18.9406278Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9406876Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:26:18.9407310Z 2025-12-04T09:26:18.9407662Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:26:18.9408259Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:26:18.9408832Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:26:18.9409386Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:26:18.9409980Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:26:18.9410505Z that calls into the original kernel for certain cases. 2025-12-04T09:26:18.9410884Z 2025-12-04T09:26:18.9411084Z Args: 2025-12-04T09:26:18.9411411Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:26:18.9411984Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:26:18.9412611Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:26:18.9413504Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:26:18.9414171Z 2025-12-04T09:26:18.9414371Z Returns: 2025-12-04T09:26:18.9414766Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:26:18.9415232Z call the kernel. 2025-12-04T09:26:18.9415512Z 2025-12-04T09:26:18.9415835Z Raises: 2025-12-04T09:26:18.9416194Z RuntimeError: If the operator does not exist. 2025-12-04T09:26:18.9416550Z 2025-12-04T09:26:18.9416754Z Example: 2025-12-04T09:26:18.9417011Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:26:18.9417722Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:26:18.9418401Z >>> 2025-12-04T09:26:18.9418663Z >>> # You can also use DispatchKey enum 2025-12-04T09:26:18.9419166Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:26:18.9419648Z >>> 2025-12-04T09:26:18.9419908Z >>> # Or use an OpOverload directly 2025-12-04T09:26:18.9420371Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:26:18.9420823Z >>> 2025-12-04T09:26:18.9421183Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:26:18.9421683Z >>> # Get the original kernel for torch.sin 2025-12-04T09:26:18.9422146Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:26:18.9422583Z >>> 2025-12-04T09:26:18.9422958Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:26:18.9423458Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:26:18.9423824Z >>> if (x < 0).any(): 2025-12-04T09:26:18.9424222Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:26:18.9424620Z >>> else: 2025-12-04T09:26:18.9424910Z >>> return torch.zeros_like(x) 2025-12-04T09:26:18.9425233Z >>> 2025-12-04T09:26:18.9425510Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:26:18.9426031Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:26:18.9426638Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:26:18.9427160Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:26:18.9427560Z >>> 2025-12-04T09:26:18.9427815Z >>> # Test the conditional behavior 2025-12-04T09:26:18.9428182Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:26:18.9428551Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:26:18.9428891Z >>> torch.sin(x_positive) 2025-12-04T09:26:18.9429210Z tensor([0., 0.]) 2025-12-04T09:26:18.9429505Z >>> torch.sin(x_mixed) 2025-12-04T09:26:18.9429799Z tensor([-0.8415, 0.9093]) 2025-12-04T09:26:18.9430095Z 2025-12-04T09:26:18.9430730Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:26:18.9431430Z 2025-12-04T09:26:18.9431742Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:26:18.9432143Z ^ 2025-12-04T09:26:18.9432353Z warnings.warn(msg) 2025-12-04T09:26:18.9432610Z 2025-12-04T09:26:18.9432970Z --- Parse Warning: 4 / 17 --- 2025-12-04T09:26:18.9434175Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T09:26:18.9435878Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9436521Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:26:18.9437148Z required drivers are available and at least one device is visible. 2025-12-04T09:26:18.9437657Z See :ref:`accelerator` for details. 2025-12-04T09:26:18.9438005Z 2025-12-04T09:26:18.9438213Z Returns: 2025-12-04T09:26:18.9438981Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:26:18.9439478Z 2025-12-04T09:26:18.9439855Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:26:18.9440515Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:26:18.9441187Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:26:18.9441717Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:26:18.9442078Z 2025-12-04T09:26:18.9442293Z Example:: 2025-12-04T09:26:18.9442512Z 2025-12-04T09:26:18.9442913Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:26:18.9443409Z 2025-12-04T09:26:18.9444181Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:26:18.9444974Z 2025-12-04T09:26:18.9445367Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:26:18.9445871Z ^ 2025-12-04T09:26:18.9446176Z warnings.warn(msg) 2025-12-04T09:26:18.9446437Z 2025-12-04T09:26:18.9446778Z --- Parse Warning: 5 / 17 --- 2025-12-04T09:26:18.9447958Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:26:18.9449287Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9449894Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:26:18.9450316Z 2025-12-04T09:26:18.9450504Z Args: 2025-12-04T09:26:18.9450974Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:26:18.9451673Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:26:18.9452238Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:26:18.9452650Z 2025-12-04T09:26:18.9453094Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:26:18.9453634Z 2025-12-04T09:26:18.9453827Z Example:: 2025-12-04T09:26:18.9454057Z 2025-12-04T09:26:18.9454317Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:26:18.9454856Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:26:18.9455418Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:26:18.9455831Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:26:18.9456196Z >>> start_event.record() 2025-12-04T09:26:18.9456660Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:26:18.9457149Z >>> sum = torch.sum(tensor) 2025-12-04T09:26:18.9457470Z >>> end_event.record() 2025-12-04T09:26:18.9457793Z >>> torch.accelerator.synchronize() 2025-12-04T09:26:18.9458216Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:26:18.9458603Z 2025-12-04T09:26:18.9459310Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:26:18.9460106Z 2025-12-04T09:26:18.9460498Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:26:18.9460996Z ^ 2025-12-04T09:26:18.9461305Z warnings.warn(msg) 2025-12-04T09:26:18.9461770Z 2025-12-04T09:26:18.9462665Z --- Parse Warning: 6 / 17 --- 2025-12-04T09:26:18.9463850Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:26:18.9465119Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9465635Z Retrieves the CUDA runtime API module. 2025-12-04T09:26:18.9465946Z 2025-12-04T09:26:18.9466143Z 2025-12-04T09:26:18.9466523Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:26:18.9467161Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:26:18.9467754Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:26:18.9468200Z 2025-12-04T09:26:18.9468399Z Args: 2025-12-04T09:26:18.9468608Z ``None`` 2025-12-04T09:26:18.9468851Z 2025-12-04T09:26:18.9469055Z Returns: 2025-12-04T09:26:18.9469332Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:26:18.9469684Z 2025-12-04T09:26:18.9469880Z Raises: 2025-12-04T09:26:18.9470245Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:26:18.9470994Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:26:18.9471581Z 2025-12-04T09:26:18.9471830Z Example of CUDA operations with profiling: 2025-12-04T09:26:18.9472177Z >>> import torch 2025-12-04T09:26:18.9472498Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:26:18.9472855Z >>> import os 2025-12-04T09:26:18.9473100Z >>> 2025-12-04T09:26:18.9473357Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:26:18.9473682Z >>> 2025-12-04T09:26:18.9473954Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:26:18.9474346Z >>> stream = torch.cuda.Stream() 2025-12-04T09:26:18.9474714Z >>> with torch.cuda.stream(stream): 2025-12-04T09:26:18.9475082Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:26:18.9475474Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:26:18.9475845Z >>> z = torch.mul(x, y) 2025-12-04T09:26:18.9476163Z >>> return z 2025-12-04T09:26:18.9476413Z >>> 2025-12-04T09:26:18.9476664Z >>> torch.cuda.synchronize() 2025-12-04T09:26:18.9477027Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:26:18.9477419Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:26:18.9477828Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:26:18.9478251Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:26:18.9478658Z >>> print("CUDA operations completed.") 2025-12-04T09:26:18.9479101Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:26:18.9479536Z >>> print("====== End nsys profiling ======") 2025-12-04T09:26:18.9479876Z 2025-12-04T09:26:18.9480192Z To run this example and save the profiling information, execute: 2025-12-04T09:26:18.9480910Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:26:18.9481505Z 2025-12-04T09:26:18.9481868Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:26:18.9482462Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:26:18.9483038Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:26:18.9483572Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:26:18.9484269Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:26:18.9484841Z CSV file and print a summary, respectively. 2025-12-04T09:26:18.9485367Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:26:18.9485906Z overwrite of the output file if it already exists. 2025-12-04T09:26:18.9486276Z 2025-12-04T09:26:18.9487092Z 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)) 2025-12-04T09:26:18.9487984Z 2025-12-04T09:26:18.9488458Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:26:18.9489044Z ^ 2025-12-04T09:26:18.9489258Z warnings.warn(msg) 2025-12-04T09:26:18.9501455Z 2025-12-04T09:26:18.9502053Z --- Parse Warning: 7 / 17 --- 2025-12-04T09:26:18.9503241Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:26:18.9504508Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9504987Z 2025-12-04T09:26:18.9505341Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:26:18.9505910Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:26:18.9506459Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:26:18.9506933Z vectorizing those operations. 2025-12-04T09:26:18.9507234Z 2025-12-04T09:26:18.9507564Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:26:18.9508127Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:26:18.9508693Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:26:18.9509219Z compute batched gradients when composed with autograd. 2025-12-04T09:26:18.9509599Z 2025-12-04T09:26:18.9509813Z .. note:: 2025-12-04T09:26:18.9510143Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:26:18.9510584Z convenience. Use whichever one you'd like. 2025-12-04T09:26:18.9510924Z 2025-12-04T09:26:18.9511127Z Args: 2025-12-04T09:26:18.9511461Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:26:18.9511931Z Must return one or more Tensors. 2025-12-04T09:26:18.9512376Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:26:18.9512883Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:26:18.9513390Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:26:18.9513916Z input is None, then that indicates there is no map dimension. 2025-12-04T09:26:18.9514344Z Default: 0. 2025-12-04T09:26:18.9514703Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:26:18.9515237Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:26:18.9515726Z it should have one element per output. Default: 0. 2025-12-04T09:26:18.9516195Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:26:18.9516729Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:26:18.9517288Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:26:18.9517853Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:26:18.9518413Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:26:18.9518973Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:26:18.9519668Z Python's random module or numpy randomness. 2025-12-04T09:26:18.9520159Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:26:18.9520754Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:26:18.9521388Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:26:18.9522075Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:26:18.9522557Z 2025-12-04T09:26:18.9522759Z Returns: 2025-12-04T09:26:18.9523094Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:26:18.9523596Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:26:18.9524207Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:26:18.9524727Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:26:18.9525167Z specified by ``out_dims``. 2025-12-04T09:26:18.9525451Z 2025-12-04T09:26:18.9525656Z .. warning: 2025-12-04T09:26:18.9526010Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:26:18.9526523Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:26:18.9527093Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:26:18.9527705Z Python data structures and assigning values to variables not captured 2025-12-04T09:26:18.9528148Z in ``func``. 2025-12-04T09:26:18.9528393Z 2025-12-04T09:26:18.9528756Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:26:18.9529345Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:26:18.9529930Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:26:18.9530374Z 2025-12-04T09:26:18.9530609Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:26:18.9531038Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:26:18.9531510Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:26:18.9531863Z >>> batched_dot(x, y) 2025-12-04T09:26:18.9532124Z 2025-12-04T09:26:18.9532479Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:26:18.9532951Z model authoring experience. 2025-12-04T09:26:18.9533223Z 2025-12-04T09:26:18.9533456Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:26:18.9533870Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:26:18.9534257Z >>> 2025-12-04T09:26:18.9534474Z >>> def model(feature_vec): 2025-12-04T09:26:18.9535102Z >>> # Very simple linear model with activation 2025-12-04T09:26:18.9535492Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:26:18.9535816Z >>> 2025-12-04T09:26:18.9536112Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:26:18.9536522Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:26:18.9536844Z 2025-12-04T09:26:18.9537225Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:26:18.9537867Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:26:18.9538470Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:26:18.9539084Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:26:18.9539714Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:26:18.9540351Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:26:18.9540826Z call to ``autograd.grad``. 2025-12-04T09:26:18.9541107Z 2025-12-04T09:26:18.9541313Z >>> # Setup 2025-12-04T09:26:18.9541536Z >>> N = 5 2025-12-04T09:26:18.9542064Z >>> f = lambda x: x**2 2025-12-04T09:26:18.9542391Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:26:18.9542719Z >>> y = f(x) 2025-12-04T09:26:18.9542977Z >>> I_N = torch.eye(N) 2025-12-04T09:26:18.9543254Z >>> 2025-12-04T09:26:18.9543477Z >>> # Sequential approach 2025-12-04T09:26:18.9543912Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:26:18.9544381Z >>> for v in I_N.unbind()] 2025-12-04T09:26:18.9544751Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:26:18.9545070Z >>> 2025-12-04T09:26:18.9545321Z >>> # vectorized gradient computation 2025-12-04T09:26:18.9545658Z >>> def get_vjp(v): 2025-12-04T09:26:18.9545957Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:26:18.9546335Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:26:18.9546661Z 2025-12-04T09:26:18.9547046Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:26:18.9547540Z 2025-12-04T09:26:18.9547765Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:26:18.9548085Z >>> batched_dot = torch.vmap( 2025-12-04T09:26:18.9548412Z ... torch.vmap(torch.dot) 2025-12-04T09:26:18.9548750Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:26:18.9549133Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:26:18.9549517Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:26:18.9549849Z 2025-12-04T09:26:18.9550214Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:26:18.9550739Z the dimension that each inputs are batched along as 2025-12-04T09:26:18.9551094Z 2025-12-04T09:26:18.9551314Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:26:18.9551754Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:26:18.9552254Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:26:18.9552598Z >>> batched_dot( 2025-12-04T09:26:18.9552859Z ... x, y 2025-12-04T09:26:18.9553199Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:26:18.9553611Z 2025-12-04T09:26:18.9554001Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:26:18.9554601Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:26:18.9555024Z 2025-12-04T09:26:18.9555249Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:26:18.9555705Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:26:18.9556213Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:26:18.9556559Z >>> batched_dot( 2025-12-04T09:26:18.9556817Z ... x, y 2025-12-04T09:26:18.9557165Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:26:18.9557580Z 2025-12-04T09:26:18.9557943Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:26:18.9558422Z matching the shape of the input: 2025-12-04T09:26:18.9558727Z 2025-12-04T09:26:18.9558993Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:26:18.9559382Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:26:18.9559724Z >>> input = {"x": x, "y": y} 2025-12-04T09:26:18.9560121Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:26:18.9560523Z >>> batched_dot(input) 2025-12-04T09:26:18.9560796Z 2025-12-04T09:26:18.9561199Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:26:18.9561752Z along any dimension by using ``out_dims`` 2025-12-04T09:26:18.9562066Z 2025-12-04T09:26:18.9562284Z >>> f = lambda x: x**2 2025-12-04T09:26:18.9562738Z >>> x = torch.randn(2, 5) 2025-12-04T09:26:18.9563062Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:26:18.9563416Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:26:18.9563794Z 2025-12-04T09:26:18.9564210Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:26:18.9564739Z accept kwargs 2025-12-04T09:26:18.9564973Z 2025-12-04T09:26:18.9565180Z >>> x = torch.randn([2, 5]) 2025-12-04T09:26:18.9565494Z >>> def fn(x, scale=4.): 2025-12-04T09:26:18.9565798Z >>> return x * scale 2025-12-04T09:26:18.9566060Z >>> 2025-12-04T09:26:18.9566303Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:26:18.9566680Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:26:18.9567177Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:26:18.9567609Z 2025-12-04T09:26:18.9567819Z .. note:: 2025-12-04T09:26:18.9568194Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:26:18.9568647Z sequences out of the box. 2025-12-04T09:26:18.9568937Z 2025-12-04T09:26:18.9569608Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:26:18.9570349Z 2025-12-04T09:26:18.9570553Z _._ = None 2025-12-04T09:26:18.9570777Z ^ 2025-12-04T09:26:18.9570986Z warnings.warn(msg) 2025-12-04T09:26:18.9571247Z 2025-12-04T09:26:18.9571612Z --- Parse Warning: 8 / 17 --- 2025-12-04T09:26:18.9572753Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:26:18.9574010Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9574658Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:26:18.9575246Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:26:18.9575685Z compute higher-order gradients. 2025-12-04T09:26:18.9576022Z 2025-12-04T09:26:18.9576212Z Args: 2025-12-04T09:26:18.9576575Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:26:18.9577204Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:26:18.9577876Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:26:18.9578392Z ``(output, aux)``. 2025-12-04T09:26:18.9578893Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:26:18.9579530Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:26:18.9580098Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:26:18.9580637Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:26:18.9581022Z 2025-12-04T09:26:18.9581215Z Returns: 2025-12-04T09:26:18.9581660Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:26:18.9582332Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:26:18.9582994Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:26:18.9583662Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:26:18.9584211Z respect to each ``argnums`` value is returned. 2025-12-04T09:26:18.9584575Z 2025-12-04T09:26:18.9584782Z Example of using ``grad``: 2025-12-04T09:26:18.9585068Z 2025-12-04T09:26:18.9585378Z >>> # xdoctest: +SKIP 2025-12-04T09:26:18.9585767Z >>> from torch.func import grad 2025-12-04T09:26:18.9586101Z >>> x = torch.randn([]) 2025-12-04T09:26:18.9586438Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:26:18.9586824Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:26:18.9587145Z >>> 2025-12-04T09:26:18.9587395Z >>> # Second-order gradients 2025-12-04T09:26:18.9587776Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:26:18.9588183Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:26:18.9588524Z 2025-12-04T09:26:18.9588903Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:26:18.9589356Z 2025-12-04T09:26:18.9589572Z >>> # xdoctest: +SKIP 2025-12-04T09:26:18.9589903Z >>> from torch.func import grad, vmap 2025-12-04T09:26:18.9590250Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:26:18.9590575Z >>> 2025-12-04T09:26:18.9590832Z >>> def model(weights, feature_vec): 2025-12-04T09:26:18.9591206Z >>> # Very simple linear model with activation 2025-12-04T09:26:18.9591568Z >>> assert feature_vec.dim() == 1 2025-12-04T09:26:18.9591937Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:26:18.9592272Z >>> 2025-12-04T09:26:18.9592538Z >>> def compute_loss(weights, example, target): 2025-12-04T09:26:18.9592916Z >>> y = model(weights, example) 2025-12-04T09:26:18.9593292Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:26:18.9593627Z >>> 2025-12-04T09:26:18.9593947Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:26:18.9594411Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:26:18.9594806Z >>> targets = torch.randn(batch_size) 2025-12-04T09:26:18.9595168Z >>> inputs = (weights, examples, targets) 2025-12-04T09:26:18.9595650Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:26:18.9596102Z ... *inputs 2025-12-04T09:26:18.9596347Z ... ) 2025-12-04T09:26:18.9596561Z 2025-12-04T09:26:18.9596849Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:26:18.9597214Z 2025-12-04T09:26:18.9597423Z >>> # xdoctest: +SKIP 2025-12-04T09:26:18.9597729Z >>> from torch.func import grad 2025-12-04T09:26:18.9598057Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:26:18.9598406Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:26:18.9598779Z >>> loss = loss_per_sample.mean() 2025-12-04T09:26:18.9599144Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:26:18.9599461Z >>> 2025-12-04T09:26:18.9599752Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:26:18.9600138Z >>> y_true = torch.rand(4) 2025-12-04T09:26:18.9600479Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:26:18.9600837Z >>> out = fn(y_true, y_preds) 2025-12-04T09:26:18.9601313Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:26:18.9601757Z 2025-12-04T09:26:18.9601954Z .. note:: 2025-12-04T09:26:18.9602269Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:26:18.9602630Z 2025-12-04T09:26:18.9602888Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:26:18.9603240Z 2025-12-04T09:26:18.9603447Z >>> # xdoctest: +SKIP 2025-12-04T09:26:18.9603832Z >>> def f(x): 2025-12-04T09:26:18.9604127Z >>> with torch.no_grad(): 2025-12-04T09:26:18.9604456Z >>> c = x ** 2 2025-12-04T09:26:18.9604909Z >>> return x - c 2025-12-04T09:26:18.9605200Z 2025-12-04T09:26:18.9605517Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:26:18.9605914Z 2025-12-04T09:26:18.9606216Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:26:18.9606615Z 2025-12-04T09:26:18.9606818Z >>> # xdoctest: +SKIP 2025-12-04T09:26:18.9607142Z >>> with torch.no_grad(): 2025-12-04T09:26:18.9607457Z >>> grad(f)(x) 2025-12-04T09:26:18.9607721Z 2025-12-04T09:26:18.9608064Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:26:18.9608651Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:26:18.9609239Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:26:18.9609663Z 2025-12-04T09:26:18.9609861Z 2025-12-04T09:26:18.9610541Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:26:18.9611280Z 2025-12-04T09:26:18.9611478Z _._ = None 2025-12-04T09:26:18.9611698Z ^ 2025-12-04T09:26:18.9611902Z warnings.warn(msg) 2025-12-04T09:26:18.9612166Z 2025-12-04T09:26:18.9612517Z --- Parse Warning: 9 / 17 --- 2025-12-04T09:26:18.9613790Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T09:26:18.9615194Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9615777Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:26:18.9616171Z 2025-12-04T09:26:18.9616537Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:26:18.9617027Z 2025-12-04T09:26:18.9617373Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:26:18.9617972Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:26:18.9618492Z Given some input Tensors with certain properties 2025-12-04T09:26:18.9619044Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:26:18.9619555Z the output Tensors are. 2025-12-04T09:26:18.9619841Z 2025-12-04T09:26:18.9620173Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:26:18.9620594Z 2025-12-04T09:26:18.9620776Z Args: 2025-12-04T09:26:18.9621100Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:26:18.9621503Z implementation. 2025-12-04T09:26:18.9621790Z 2025-12-04T09:26:18.9621984Z Examples: 2025-12-04T09:26:18.9622236Z >>> import torch 2025-12-04T09:26:18.9622532Z >>> import numpy as np 2025-12-04T09:26:18.9622850Z >>> from torch import Tensor 2025-12-04T09:26:18.9623163Z >>> 2025-12-04T09:26:18.9623499Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:26:18.9624015Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:26:18.9624536Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:26:18.9624990Z >>> return (x @ weight.t()) + bias 2025-12-04T09:26:18.9625317Z >>> 2025-12-04T09:26:18.9625558Z >>> @linear.register_fake 2025-12-04T09:26:18.9625894Z >>> def _(x, weight, bias): 2025-12-04T09:26:18.9626223Z >>> assert x.dim() == 2 2025-12-04T09:26:18.9626550Z >>> assert weight.dim() == 2 2025-12-04T09:26:18.9627052Z >>> assert bias.dim() == 1 2025-12-04T09:26:18.9627411Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:26:18.9627791Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:26:18.9628181Z >>> assert x.device == weight.device 2025-12-04T09:26:18.9628583Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:26:18.9628933Z >>> 2025-12-04T09:26:18.9629186Z >>> x = torch.randn(2, 2) 2025-12-04T09:26:18.9629530Z >>> weight = torch.randn(2, 2) 2025-12-04T09:26:18.9629867Z >>> bias = torch.randn(2) 2025-12-04T09:26:18.9630218Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:26:18.9630984Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:26:18.9631462Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:26:18.9631983Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:26:18.9632457Z >>> 2025-12-04T09:26:18.9632792Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:26:18.9633313Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:26:18.9633753Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:26:18.9634110Z >>> x_np = x.cpu().numpy() 2025-12-04T09:26:18.9634476Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:26:18.9635122Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:26:18.9635475Z >>> 2025-12-04T09:26:18.9635735Z >>> @nonzero.register_fake 2025-12-04T09:26:18.9636044Z >>> def _(x): 2025-12-04T09:26:18.9636386Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:26:18.9636848Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:26:18.9637312Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:26:18.9637728Z >>> # represents the data-dependent size. 2025-12-04T09:26:18.9638107Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:26:18.9638476Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:26:18.9638813Z >>> shape = [nnz, x.dim()] 2025-12-04T09:26:18.9639194Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:26:18.9639574Z >>> return result 2025-12-04T09:26:18.9639855Z >>> 2025-12-04T09:26:18.9640121Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:26:18.9640502Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:26:18.9640919Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:26:18.9641330Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:26:18.9641726Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:26:18.9642061Z 2025-12-04T09:26:18.9642246Z 2025-12-04T09:26:18.9642938Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:26:18.9643773Z 2025-12-04T09:26:18.9643959Z _._ = None 2025-12-04T09:26:18.9644187Z ^ 2025-12-04T09:26:18.9644404Z warnings.warn(msg) 2025-12-04T09:26:18.9644659Z 2025-12-04T09:26:18.9644997Z --- Parse Warning: 10 / 17 --- 2025-12-04T09:26:18.9646274Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T09:26:18.9647963Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:26:18.9648434Z 2025-12-04T09:26:18.9648789Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:26:18.9649410Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:26:18.9649877Z 2025-12-04T09:26:18.9650200Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:26:18.9650800Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:26:18.9651380Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:26:18.9651959Z information we will match a given input to the recorded profile, and return 2025-12-04T09:26:18.9652583Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:26:18.9653075Z doesn't exist then an exception will be thrown. 2025-12-04T09:26:18.9653419Z 2025-12-04T09:26:18.9653780Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:26:18.9654370Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:26:18.9654993Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:26:18.9655648Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:26:18.9656293Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:26:18.9656889Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:26:18.9657475Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:26:18.9657921Z potentially unsafe. 2025-12-04T09:26:18.9658158Z 2025-12-04T09:26:18.9658358Z Args: 2025-12-04T09:26:18.9658708Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:26:18.9659280Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:26:18.9659696Z kernels. 2025-12-04T09:26:18.9659933Z 2025-12-04T09:26:18.9660130Z Examples: 2025-12-04T09:26:18.9660334Z 2025-12-04T09:26:18.9660629Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:26:18.9661021Z >>> import torch 2025-12-04T09:26:18.9661351Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:26:18.9661726Z >>> 2025-12-04T09:26:18.9662040Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:26:18.9662464Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:26:18.9662815Z >>> return x + y 2025-12-04T09:26:18.9663081Z >>> 2025-12-04T09:26:18.9663304Z >>> class M(torch.nn.Module): 2025-12-04T09:26:18.9663630Z >>> def forward(self, a, b): 2025-12-04T09:26:18.9664002Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:26:18.9664385Z >>> return res 2025-12-04T09:26:18.9664644Z >>> 2025-12-04T09:26:18.9664952Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:26:18.9665344Z >>> 2025-12-04T09:26:18.9665773Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:26:18.9666340Z >>> decomp = ep.run_decompositions() 2025-12-04T09:26:18.9666673Z 2025-12-04T09:26:18.9666857Z 2025-12-04T09:26:18.9667478Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:26:18.9668190Z 2025-12-04T09:26:18.9668391Z warnings.warn(msg) 2025-12-04T09:26:18.9668646Z 2025-12-04T09:26:18.9668991Z --- Parse Warning: 11 / 17 --- 2025-12-04T09:26:18.9670577Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T09:26:18.9672298Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9672774Z 2025-12-04T09:26:18.9673174Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:26:18.9673826Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:26:18.9674447Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:26:18.9674938Z input by the user. 2025-12-04T09:26:18.9675340Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:26:18.9675849Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:26:18.9676213Z 2025-12-04T09:26:18.9676422Z Note:: 2025-12-04T09:26:18.9676877Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:26:18.9677426Z 2025-12-04T09:26:18.9677626Z Args: 2025-12-04T09:26:18.9677834Z model (nn.Module): 2025-12-04T09:26:18.9678249Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:26:18.9678870Z sparsified should be added separately using the register_layer() function 2025-12-04T09:26:18.9679379Z aggregate_fn (Optional, Callable): 2025-12-04T09:26:18.9679876Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:26:18.9680448Z specifies how inputs should be aggregated over time. 2025-12-04T09:26:18.9681041Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:26:18.9681546Z Example 2025-12-04T09:26:18.9681873Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:26:18.9682306Z reduce_fn (Optional, Callable): 2025-12-04T09:26:18.9682810Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:26:18.9683445Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:26:18.9684054Z calling agg_fn() on all inputs. 2025-12-04T09:26:18.9684389Z Example 2025-12-04T09:26:18.9684759Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:26:18.9685212Z mask_fn (Optional, Callable): 2025-12-04T09:26:18.9685772Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:26:18.9686487Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:26:18.9686971Z register_layer(). 2025-12-04T09:26:18.9687555Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:26:18.9688146Z arguments. 2025-12-04T09:26:18.9688434Z features (Optional, list): 2025-12-04T09:26:18.9688799Z default selected features to sparsify. 2025-12-04T09:26:18.9689340Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:26:18.9689848Z For example, 2025-12-04T09:26:18.9690299Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:26:18.9690812Z feature_dim (Optional, int): 2025-12-04T09:26:18.9691341Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:26:18.9691852Z for sparsification. 2025-12-04T09:26:18.9692183Z sparse_config (Dict): 2025-12-04T09:26:18.9692719Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:26:18.9693244Z with the mask_fn() 2025-12-04T09:26:18.9693532Z 2025-12-04T09:26:18.9693734Z Example: 2025-12-04T09:26:18.9693968Z >>> # xdoctest: +SKIP 2025-12-04T09:26:18.9694246Z >>> model = SomeModel() 2025-12-04T09:26:18.9694692Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:26:18.9695188Z >>> # Initialize aggregate_fn 2025-12-04T09:26:18.9695490Z >>> def agg_fn(x, y): 2025-12-04T09:26:18.9695779Z >>> return x + y 2025-12-04T09:26:18.9696051Z >>> 2025-12-04T09:26:18.9696273Z >>> # Initialize reduce_fn 2025-12-04T09:26:18.9696583Z >>> def reduce_fn(x): 2025-12-04T09:26:18.9696889Z >>> return torch.mean(x, dim=0) 2025-12-04T09:26:18.9697192Z >>> 2025-12-04T09:26:18.9697422Z >>> # Initialize mask_fn 2025-12-04T09:26:18.9697725Z >>> def mask_fn(data): 2025-12-04T09:26:18.9698076Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:26:18.9698424Z >>> 2025-12-04T09:26:18.9698639Z >>> 2025-12-04T09:26:18.9698889Z >>> act_sparsifier.register_layer( 2025-12-04T09:26:18.9699220Z ... model.some_layer, 2025-12-04T09:26:18.9699531Z ... aggregate_fn=agg_fn, 2025-12-04T09:26:18.9699844Z ... reduce_fn=reduce_fn, 2025-12-04T09:26:18.9700143Z ... mask_fn=mask_fn, 2025-12-04T09:26:18.9700426Z ... ) 2025-12-04T09:26:18.9700648Z >>> 2025-12-04T09:26:18.9700866Z >>> # start training process 2025-12-04T09:26:18.9701176Z >>> for _ in [...]: 2025-12-04T09:26:18.9701455Z >>> # epoch starts 2025-12-04T09:26:18.9701795Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:26:18.9702192Z >>> # epoch ends 2025-12-04T09:26:18.9702471Z >>> act_sparsifier.step() 2025-12-04T09:26:18.9702780Z >>> # end training process 2025-12-04T09:26:18.9703100Z >>> sparsifier.squash_mask() 2025-12-04T09:26:18.9703399Z 2025-12-04T09:26:18.9704046Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:26:18.9704765Z 2025-12-04T09:26:18.9704964Z _._ = None 2025-12-04T09:26:18.9705181Z ^ 2025-12-04T09:26:18.9705386Z warnings.warn(msg) 2025-12-04T09:26:18.9705643Z 2025-12-04T09:26:18.9706006Z --- Parse Warning: 12 / 17 --- 2025-12-04T09:26:18.9707262Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T09:26:18.9708663Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9709132Z 2025-12-04T09:26:18.9709546Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:26:18.9710234Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:26:18.9710741Z ``mesh_dim_names`` 2025-12-04T09:26:18.9710991Z 2025-12-04T09:26:18.9711180Z Args: 2025-12-04T09:26:18.9711546Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:26:18.9712116Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:26:18.9712507Z Returns: 2025-12-04T09:26:18.9712746Z A :class:`DeviceMesh` object 2025-12-04T09:26:18.9713043Z 2025-12-04T09:26:18.9713457Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:26:18.9713977Z In the first example: 2025-12-04T09:26:18.9714422Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:26:18.9715157Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:26:18.9715860Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:26:18.9716464Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:26:18.9717062Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:26:18.9717656Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:26:18.9718087Z 2025-12-04T09:26:18.9718301Z In the second example: 2025-12-04T09:26:18.9718766Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:26:18.9719435Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:26:18.9720114Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:26:18.9720796Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:26:18.9721286Z 2025-12-04T09:26:18.9721485Z Example:: 2025-12-04T09:26:18.9721699Z 2025-12-04T09:26:18.9721926Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:26:18.9722317Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:26:18.9722699Z >>> 2025-12-04T09:26:18.9723034Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:26:18.9723503Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:26:18.9724126Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:26:18.9724621Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:26:18.9724941Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:26:18.9725222Z >>> 2025-12-04T09:26:18.9725457Z >>> # Initialize a 3D mesh. 2025-12-04T09:26:18.9725960Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:26:18.9726685Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:26:18.9727249Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:26:18.9727596Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:26:18.9727895Z 2025-12-04T09:26:18.9728727Z 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)) 2025-12-04T09:26:18.9729649Z 2025-12-04T09:26:18.9730027Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:26:18.9730528Z ^ 2025-12-04T09:26:18.9730890Z warnings.warn(msg) 2025-12-04T09:26:18.9731156Z 2025-12-04T09:26:18.9731485Z --- Parse Warning: 13 / 17 --- 2025-12-04T09:26:18.9732753Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T09:26:18.9734153Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9734924Z 2025-12-04T09:26:18.9735336Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:26:18.9735848Z 2025-12-04T09:26:18.9736277Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:26:18.9736787Z 2025-12-04T09:26:18.9737206Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:26:18.9737745Z will be visible to the whole process. 2025-12-04T09:26:18.9738325Z 2025-12-04T09:26:18.9738724Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:26:18.9739229Z 2025-12-04T09:26:18.9739471Z 1) set_up_planner - called on all ranks. 2025-12-04T09:26:18.9739833Z Signals the start of a checkpoint save. 2025-12-04T09:26:18.9740172Z 2025-12-04T09:26:18.9740419Z 2) create_local_plan - called on all ranks. 2025-12-04T09:26:18.9740958Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:26:18.9741471Z 2025-12-04T09:26:18.9741782Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:26:18.9742292Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:26:18.9742713Z 2025-12-04T09:26:18.9742943Z 4) finish_plan - called on all ranks. 2025-12-04T09:26:18.9743403Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:26:18.9743842Z 2025-12-04T09:26:18.9744121Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:26:18.9744617Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:26:18.9745029Z 2025-12-04T09:26:18.9745471Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:26:18.9746115Z most changes can be expressed by changes in a single method. 2025-12-04T09:26:18.9746496Z 2025-12-04T09:26:18.9746733Z There are 3 usual patterns of extension: 2025-12-04T09:26:18.9747059Z 2025-12-04T09:26:18.9747426Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:26:18.9748053Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:26:18.9748496Z 2025-12-04T09:26:18.9748731Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:26:18.9749090Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:26:18.9749457Z >>> def set_up_planner( 2025-12-04T09:26:18.9749739Z >>> self, 2025-12-04T09:26:18.9760643Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:26:18.9761027Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:26:18.9761402Z >>> is_coordinator: bool, 2025-12-04T09:26:18.9761719Z >>> ) -> None: 2025-12-04T09:26:18.9761980Z >>> # prefix all keys with `foo_`` 2025-12-04T09:26:18.9762517Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:26:18.9763025Z 2025-12-04T09:26:18.9763480Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:26:18.9764152Z 2025-12-04T09:26:18.9764385Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:26:18.9764761Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:26:18.9765110Z >>> def create_local_plan(self): 2025-12-04T09:26:18.9765482Z >>> plan = super().create_local_plan() 2025-12-04T09:26:18.9765828Z >>> for p in plan: 2025-12-04T09:26:18.9766122Z >>> if p.tensor_data is not None: 2025-12-04T09:26:18.9766526Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:26:18.9766914Z >>> return plan 2025-12-04T09:26:18.9767167Z >>> 2025-12-04T09:26:18.9767405Z >>> def resolve_data(self, write_item): 2025-12-04T09:26:18.9767784Z >>> item = super().resolve_data(write_item) 2025-12-04T09:26:18.9768313Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:26:18.9768807Z 2025-12-04T09:26:18.9769285Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:26:18.9769853Z 2025-12-04T09:26:18.9770077Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:26:18.9770434Z >>> from itertools import zip_longest 2025-12-04T09:26:18.9771001Z >>> from dataclasses import replace 2025-12-04T09:26:18.9771397Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:26:18.9771981Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:26:18.9772537Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:26:18.9772920Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:26:18.9773333Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:26:18.9773716Z >>> items_per_rank = [ 2025-12-04T09:26:18.9774066Z >>> [item for item in items if item is not None] 2025-12-04T09:26:18.9774487Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:26:18.9774867Z >>> ] 2025-12-04T09:26:18.9775109Z >>> all_plans = [ 2025-12-04T09:26:18.9775398Z >>> replace(plan, items=items) 2025-12-04T09:26:18.9775841Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:26:18.9776257Z >>> ] 2025-12-04T09:26:18.9776534Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:26:18.9776884Z 2025-12-04T09:26:18.9777277Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:26:18.9777967Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:26:18.9778487Z the global planner aggregate them: 2025-12-04T09:26:18.9778799Z 2025-12-04T09:26:18.9779033Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:26:18.9779420Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:26:18.9779846Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:26:18.9780225Z >>> plan = super().create_local_plan() 2025-12-04T09:26:18.9780626Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:26:18.9781009Z >>> 2025-12-04T09:26:18.9781442Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:26:18.9782089Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:26:18.9782573Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:26:18.9783037Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:26:18.9783450Z >>> return global_plan, metadata 2025-12-04T09:26:18.9783751Z 2025-12-04T09:26:18.9784425Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:26:18.9785183Z 2025-12-04T09:26:18.9785385Z _._ = None 2025-12-04T09:26:18.9785594Z ^ 2025-12-04T09:26:18.9785814Z warnings.warn(msg) 2025-12-04T09:26:18.9786078Z 2025-12-04T09:26:18.9786446Z --- Parse Warning: 14 / 17 --- 2025-12-04T09:26:18.9787733Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T09:26:18.9789142Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9789600Z 2025-12-04T09:26:18.9790017Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:26:18.9790543Z 2025-12-04T09:26:18.9790965Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:26:18.9791470Z 2025-12-04T09:26:18.9791876Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:26:18.9792413Z will be visible to the whole process. 2025-12-04T09:26:18.9792718Z 2025-12-04T09:26:18.9793210Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:26:18.9793778Z 2025-12-04T09:26:18.9794005Z 1) set_up_planner - called on all ranks. 2025-12-04T09:26:18.9794390Z Signals the start of loading a checkpoint. 2025-12-04T09:26:18.9794728Z 2025-12-04T09:26:18.9794962Z 2) create_local_plan - called on all ranks. 2025-12-04T09:26:18.9795512Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:26:18.9796025Z 2025-12-04T09:26:18.9796334Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:26:18.9796842Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:26:18.9797263Z 2025-12-04T09:26:18.9797531Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:26:18.9797963Z This is called once per non-tensor value in state_dict. 2025-12-04T09:26:18.9798052Z 2025-12-04T09:26:18.9798284Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:26:18.9798477Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:26:18.9798571Z 2025-12-04T09:26:18.9798890Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:26:18.9799088Z most changes can be expressed by changes in a single method. 2025-12-04T09:26:18.9799167Z 2025-12-04T09:26:18.9799298Z There are two usual patterns of extension: 2025-12-04T09:26:18.9799390Z 2025-12-04T09:26:18.9799655Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:26:18.9799920Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:26:18.9800169Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:26:18.9800296Z we need to be able to perform it in place 2025-12-04T09:26:18.9800378Z 2025-12-04T09:26:18.9800506Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:26:18.9800648Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:26:18.9800763Z >>> def set_up_planner( 2025-12-04T09:26:18.9800849Z >>> self, 2025-12-04T09:26:18.9800961Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:26:18.9801075Z >>> metadata: Metadata, 2025-12-04T09:26:18.9801182Z >>> is_coordinator: bool, 2025-12-04T09:26:18.9801269Z >>> ) -> None: 2025-12-04T09:26:18.9801410Z >>> self.original_state_dict = state_dict 2025-12-04T09:26:18.9801585Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:26:18.9801667Z >>> 2025-12-04T09:26:18.9801800Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:26:18.9801955Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:26:18.9802048Z >>> 2025-12-04T09:26:18.9802157Z >>> if self.flatten_state_dict: 2025-12-04T09:26:18.9802347Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:26:18.9802446Z >>> 2025-12-04T09:26:18.9802558Z >>> self.state_dict = state_dict 2025-12-04T09:26:18.9802665Z >>> self.metadata = metadata 2025-12-04T09:26:18.9802802Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:26:18.9802883Z >>> 2025-12-04T09:26:18.9803005Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:26:18.9803119Z >>> # Remove the "foo_" prefix 2025-12-04T09:26:18.9803450Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:26:18.9803540Z 2025-12-04T09:26:18.9803619Z 2025-12-04T09:26:18.9803974Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:26:18.9804070Z 2025-12-04T09:26:18.9804183Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:26:18.9804343Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:26:18.9804697Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:26:18.9804832Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:26:18.9804981Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:26:18.9805078Z >>> 2025-12-04T09:26:18.9805212Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:26:18.9805374Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:26:18.9805466Z 2025-12-04T09:26:18.9806030Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:26:18.9806121Z 2025-12-04T09:26:18.9806207Z _._ = None 2025-12-04T09:26:18.9806288Z ^ 2025-12-04T09:26:18.9806397Z warnings.warn(msg) 2025-12-04T09:26:18.9806476Z 2025-12-04T09:26:18.9806701Z --- Parse Warning: 15 / 17 --- 2025-12-04T09:26:18.9807720Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T09:26:18.9807982Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9808073Z 2025-12-04T09:26:18.9808287Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:26:18.9808489Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:26:18.9808712Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:26:18.9808941Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:26:18.9809151Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:26:18.9809252Z follows: 2025-12-04T09:26:18.9809335Z 2025-12-04T09:26:18.9809467Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:26:18.9809734Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:26:18.9809865Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:26:18.9810087Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:26:18.9810311Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:26:18.9810418Z >>> state = fsdp.state_dict() 2025-12-04T09:26:18.9810649Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:26:18.9810894Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:26:18.9811133Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:26:18.9811251Z >>> if dist.get_rank() == 0: 2025-12-04T09:26:18.9811434Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:26:18.9811589Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:26:18.9811718Z >>> model.load_state_dict(state_dict) 2025-12-04T09:26:18.9811959Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:26:18.9812220Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:26:18.9812315Z >>> fsdp = FSDP( 2025-12-04T09:26:18.9812398Z ... model, 2025-12-04T09:26:18.9812548Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:26:18.9812652Z ... auto_wrap_policy=..., 2025-12-04T09:26:18.9812771Z ... sync_module_states=True, 2025-12-04T09:26:18.9812854Z ... ) 2025-12-04T09:26:18.9813072Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:26:18.9813164Z 2025-12-04T09:26:18.9813253Z Attributes: 2025-12-04T09:26:18.9813456Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:26:18.9813784Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:26:18.9813944Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:26:18.9814024Z 2025-12-04T09:26:18.9814567Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:26:18.9814647Z 2025-12-04T09:26:18.9814745Z _._ = None 2025-12-04T09:26:18.9814826Z ^ 2025-12-04T09:26:18.9814923Z warnings.warn(msg) 2025-12-04T09:26:18.9815015Z 2025-12-04T09:26:18.9815207Z --- Parse Warning: 16 / 17 --- 2025-12-04T09:26:18.9816227Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T09:26:18.9816499Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9816666Z Register a parametrization to a tensor in a module. 2025-12-04T09:26:18.9816763Z 2025-12-04T09:26:18.9817052Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:26:18.9817347Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:26:18.9817634Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:26:18.9817936Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:26:18.9818019Z 2025-12-04T09:26:18.9818359Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:26:18.9818611Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:26:18.9818705Z 2025-12-04T09:26:18.9818971Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:26:18.9819101Z ``module.parametrizations.weight``. 2025-12-04T09:26:18.9819194Z 2025-12-04T09:26:18.9819333Z The original tensor will be accessible under 2025-12-04T09:26:18.9819483Z ``module.parametrizations.weight.original``. 2025-12-04T09:26:18.9819579Z 2025-12-04T09:26:18.9819857Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:26:18.9819957Z on the same attribute. 2025-12-04T09:26:18.9820047Z 2025-12-04T09:26:18.9820297Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:26:18.9820449Z to match the training mode of the host module 2025-12-04T09:26:18.9820529Z 2025-12-04T09:26:18.9820849Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:26:18.9820991Z using the context manager :func:`cached`. 2025-12-04T09:26:18.9821073Z 2025-12-04T09:26:18.9821324Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:26:18.9821415Z 2025-12-04T09:26:18.9821538Z .. code-block:: python 2025-12-04T09:26:18.9821616Z 2025-12-04T09:26:18.9821849Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:26:18.9821930Z 2025-12-04T09:26:18.9822202Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:26:18.9822435Z is registered to compute the initial value of the original tensor. 2025-12-04T09:26:18.9822755Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:26:18.9822849Z 2025-12-04T09:26:18.9823172Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:26:18.9823472Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:26:18.9823689Z 2025-12-04T09:26:18.9823925Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:26:18.9824190Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:26:18.9824435Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:26:18.9824518Z 2025-12-04T09:26:18.9824879Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:26:18.9825008Z with names ``original0``, ``original1``,... 2025-12-04T09:26:18.9825090Z 2025-12-04T09:26:18.9825192Z .. note:: 2025-12-04T09:26:18.9825271Z 2025-12-04T09:26:18.9825549Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:26:18.9825713Z once to perform a number of consistency checks. 2025-12-04T09:26:18.9825994Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:26:18.9826135Z and nothing will be called otherwise. 2025-12-04T09:26:18.9826214Z 2025-12-04T09:26:18.9826300Z .. note:: 2025-12-04T09:26:18.9826394Z 2025-12-04T09:26:18.9826603Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:26:18.9826725Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:26:18.9827048Z `right inverse `_). 2025-12-04T09:26:18.9827305Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:26:18.9827399Z to relax this. 2025-12-04T09:26:18.9827490Z 2025-12-04T09:26:18.9827578Z .. warning:: 2025-12-04T09:26:18.9827670Z 2025-12-04T09:26:18.9827953Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:26:18.9828225Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:26:18.9828517Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:26:18.9828741Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:26:18.9828822Z 2025-12-04T09:26:18.9828907Z Args: 2025-12-04T09:26:18.9829140Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:26:18.9829362Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:26:18.9829466Z the parametrization 2025-12-04T09:26:18.9829691Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:26:18.9829783Z Keyword args: 2025-12-04T09:26:18.9830026Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:26:18.9830225Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:26:18.9830510Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:26:18.9830646Z Enable this flag at your own risk. 2025-12-04T09:26:18.9830726Z 2025-12-04T09:26:18.9830810Z Raises: 2025-12-04T09:26:18.9831124Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:26:18.9831205Z 2025-12-04T09:26:18.9831291Z Examples: 2025-12-04T09:26:18.9831458Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:26:18.9831554Z >>> import torch 2025-12-04T09:26:18.9831674Z >>> import torch.nn as nn 2025-12-04T09:26:18.9831816Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:26:18.9831898Z >>> 2025-12-04T09:26:18.9832028Z >>> class Symmetric(nn.Module): 2025-12-04T09:26:18.9832133Z >>> def forward(self, X): 2025-12-04T09:26:18.9832425Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:26:18.9832522Z >>> 2025-12-04T09:26:18.9832637Z >>> def right_inverse(self, A): 2025-12-04T09:26:18.9832738Z >>> return A.triu() 2025-12-04T09:26:18.9832836Z >>> 2025-12-04T09:26:18.9832935Z >>> m = nn.Linear(5, 5) 2025-12-04T09:26:18.9833108Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:26:18.9833370Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:26:18.9833453Z True 2025-12-04T09:26:18.9833570Z >>> A = torch.rand(5, 5) 2025-12-04T09:26:18.9833684Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:26:18.9833889Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:26:18.9834028Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:26:18.9834112Z True 2025-12-04T09:26:18.9834198Z 2025-12-04T09:26:18.9834316Z >>> class RankOne(nn.Module): 2025-12-04T09:26:18.9834425Z >>> def forward(self, x, y): 2025-12-04T09:26:18.9834907Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:26:18.9835063Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:26:18.9835143Z >>> 2025-12-04T09:26:18.9835269Z >>> def right_inverse(self, Z): 2025-12-04T09:26:18.9835390Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:26:18.9835548Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:26:18.9835678Z >>> # Return rescaled singular vectors 2025-12-04T09:26:18.9835800Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:26:18.9835948Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:26:18.9836038Z >>> 2025-12-04T09:26:18.9836197Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:26:18.9836332Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:26:18.9836413Z ... ) 2025-12-04T09:26:18.9836622Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:26:18.9836714Z 1 2025-12-04T09:26:18.9836792Z 2025-12-04T09:26:18.9836872Z 2025-12-04T09:26:18.9837440Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:26:18.9837520Z 2025-12-04T09:26:18.9837603Z _._ = None 2025-12-04T09:26:18.9837690Z ^ 2025-12-04T09:26:18.9837788Z warnings.warn(msg) 2025-12-04T09:26:18.9837869Z 2025-12-04T09:26:18.9838107Z --- Parse Warning: 17 / 17 --- 2025-12-04T09:26:18.9839100Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T09:26:18.9839369Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:26:18.9839555Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:26:18.9839636Z 2025-12-04T09:26:18.9839855Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:26:18.9840048Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:26:18.9840258Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:26:18.9840381Z of epochs, the learning rate is reduced. 2025-12-04T09:26:18.9840460Z 2025-12-04T09:26:18.9840551Z Args: 2025-12-04T09:26:18.9840684Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:26:18.9840841Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:26:18.9841249Z be reduced when the quantity monitored has stopped 2025-12-04T09:26:18.9841417Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:26:18.9841614Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:26:18.9841801Z factor (float): Factor by which the learning rate will be 2025-12-04T09:26:18.9841939Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:26:18.9842176Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:26:18.9842303Z which the learning rate will be reduced. 2025-12-04T09:26:18.9842537Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:26:18.9842934Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:26:18.9843146Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:26:18.9843309Z we have what is considered an intolerable epoch. 2025-12-04T09:26:18.9843601Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:26:18.9843847Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:26:18.9844201Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:26:18.9844529Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:26:18.9844651Z the learning rate is not adjusted. 2025-12-04T09:26:18.9844762Z Default: 10. 2025-12-04T09:26:18.9844956Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:26:18.9845133Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:26:18.9845313Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:26:18.9845481Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:26:18.9845639Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:26:18.9845798Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:26:18.9845979Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:26:18.9846167Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:26:18.9846345Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:26:18.9846521Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:26:18.9846682Z lower bound on the learning rate of all param groups 2025-12-04T09:26:18.9846815Z or each group respectively. Default: 0. 2025-12-04T09:26:18.9847006Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:26:18.9847196Z between new and old lr is smaller than eps, the update is 2025-12-04T09:26:18.9847301Z ignored. Default: 1e-8. 2025-12-04T09:26:18.9847387Z 2025-12-04T09:26:18.9847470Z Example: 2025-12-04T09:26:18.9847569Z >>> # xdoctest: +SKIP 2025-12-04T09:26:18.9847816Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:26:18.9847974Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:26:18.9848084Z >>> for epoch in range(10): 2025-12-04T09:26:18.9848176Z >>> train(...) 2025-12-04T09:26:18.9848287Z >>> val_loss = validate(...) 2025-12-04T09:26:18.9848454Z >>> # Note that step should be called after validate() 2025-12-04T09:26:18.9848567Z >>> scheduler.step(val_loss) 2025-12-04T09:26:18.9848647Z 2025-12-04T09:26:18.9848859Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:26:18.9849050Z 2025-12-04T09:26:18.9849482Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:26:18.9849575Z 2025-12-04T09:26:18.9849679Z scheduler.step(val_loss) 2025-12-04T09:26:18.9849774Z ^ 2025-12-04T09:26:18.9849867Z warnings.warn(msg) 2025-12-04T09:26:18.9849945Z 2025-12-04T09:26:18.9850083Z  2025-12-04T09:26:18.9850264Z === Found 10 run-time warnings === 2025-12-04T09:26:18.9850444Z --- Runtime Warning: 1 / 10 --- 2025-12-04T09:26:18.9850667Z example = 2025-12-04T09:26:18.9852219Z :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() 2025-12-04T09:26:18.9852317Z 2025-12-04T09:26:18.9852497Z --- Runtime Warning: 2 / 10 --- 2025-12-04T09:26:18.9852771Z example = 2025-12-04T09:26:18.9854282Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py:1392: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1973.) 2025-12-04T09:26:18.9854399Z return super().refine_names(names) 2025-12-04T09:26:18.9854491Z 2025-12-04T09:26:18.9854669Z --- Runtime Warning: 3 / 10 --- 2025-12-04T09:26:18.9855003Z example = 2025-12-04T09:26:18.9855674Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py:275: UserWarning: Warning only once for all operators, other operators may also be overridden. 2025-12-04T09:26:18.9855998Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-12-04T09:26:18.9856215Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-12-04T09:26:18.9856525Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-12-04T09:26:18.9856619Z dispatch key: CPU 2025-12-04T09:26:18.9857081Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-12-04T09:26:18.9858131Z new kernel: registered at :1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:208.) 2025-12-04T09:26:18.9858311Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-12-04T09:26:18.9858392Z 2025-12-04T09:26:18.9858587Z --- Runtime Warning: 4 / 10 --- 2025-12-04T09:26:18.9858838Z example = 2025-12-04T09:26:18.9860794Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:178.) 2025-12-04T09:26:18.9861061Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-12-04T09:26:18.9861140Z 2025-12-04T09:26:18.9861337Z --- Runtime Warning: 5 / 10 --- 2025-12-04T09:26:18.9861711Z example = 2025-12-04T09:26:18.9863419Z :1: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:53.) 2025-12-04T09:26:18.9863512Z 2025-12-04T09:26:18.9863695Z --- Runtime Warning: 6 / 10 --- 2025-12-04T09:26:18.9864031Z example = 2025-12-04T09:26:18.9865619Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/const_fold.py:314: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer 2025-12-04T09:26:18.9865803Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-12-04T09:26:18.9865882Z 2025-12-04T09:26:18.9866062Z --- Runtime Warning: 7 / 10 --- 2025-12-04T09:26:18.9866373Z example = 2025-12-04T09:26:18.9867517Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-12-04T09:26:18.9867636Z self.encoder = TransformerEncoder( 2025-12-04T09:26:18.9867725Z 2025-12-04T09:26:18.9867903Z --- Runtime Warning: 8 / 10 --- 2025-12-04T09:26:18.9868260Z example = 2025-12-04T09:26:18.9869536Z :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) 2025-12-04T09:26:18.9869625Z 2025-12-04T09:26:18.9869802Z --- Runtime Warning: 9 / 10 --- 2025-12-04T09:26:18.9870089Z example = 2025-12-04T09:26:18.9870949Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-12-04T09:26:18.9871069Z WeightNorm.apply(module, name, dim) 2025-12-04T09:26:18.9871148Z 2025-12-04T09:26:18.9871344Z --- Runtime Warning: 10 / 10 --- 2025-12-04T09:26:18.9871671Z example = 2025-12-04T09:26:18.9872533Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-12-04T09:26:18.9872654Z WeightNorm.apply(module, name, dim) 2025-12-04T09:26:18.9872733Z 2025-12-04T09:26:18.9873046Z === 378 passed, 516 skipped, 27 warnings in 25.57 seconds === 2025-12-04T09:26:18.9873280Z Finished doctests 1/1 ... [2025-12-04 09:26:18.939081][941.085607638], took 0.43min 2025-12-04T09:26:18.9873565Z Running inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:26:18.941146][941.087682834] 2025-12-04T09:26:18.9873692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:18.9874874Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cutlass_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:18.941581] 2025-12-04T09:26:27.8377484Z 2025-12-04T09:26:27.8378973Z inductor/test_cutlass_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_backend_1.1_772111a46a74145f_.log 2025-12-04T09:26:27.8379782Z 2025-12-04T09:26:27.8380146Z Finished inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:26:27.837645][949.984178577], took 0.15min 2025-12-04T09:26:27.8396495Z Running inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:26:27.839376][949.985911031] 2025-12-04T09:26:27.8397159Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:27.8401205Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_benchmark_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:27.839820] 2025-12-04T09:26:37.2825293Z 2025-12-04T09:26:37.2826691Z inductor/test_benchmark_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmark_fusion_1.1_d2bbc704bc6b9aa1_.log 2025-12-04T09:26:37.2827635Z Running 0 items in this shard: 2025-12-04T09:26:37.2827838Z 2025-12-04T09:26:37.2828196Z Finished inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:26:37.282277][959.428809985], took 0.16min 2025-12-04T09:26:37.2839799Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-8d8c72546a9f11b7.xml 2025-12-04T09:26:37.3611898Z Running inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:26:37.360735][959.507267095] 2025-12-04T09:26:37.3612519Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:37.3615593Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_distributed_patterns.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:37.361204] 2025-12-04T09:26:46.3194511Z 2025-12-04T09:26:46.3195940Z inductor/test_distributed_patterns 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_distributed_patterns_1.1_a5cca192caeac7eb_.log 2025-12-04T09:26:46.3196940Z Running 0 items in this shard: 2025-12-04T09:26:46.3197137Z 2025-12-04T09:26:46.3197522Z Finished inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:26:46.319188][968.465722831], took 0.15min 2025-12-04T09:26:46.3210296Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-5d4a381901b1767b.xml 2025-12-04T09:26:46.3859042Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:26:46.385440][968.53197147] 2025-12-04T09:26:46.3859607Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:46.3862226Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:46.385911] 2025-12-04T09:26:50.4276458Z 2025-12-04T09:26:50.4277768Z 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_061aed76d53718ee_.log 2025-12-04T09:26:50.4278693Z Running 0 items in this shard: 2025-12-04T09:26:50.4278905Z 2025-12-04T09:26:50.4279240Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:26:50.427431][972.573965172], took 0.07min 2025-12-04T09:26:50.4294456Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-86b73c27d1bf7ffd.xml 2025-12-04T09:26:50.4534209Z Running test_sort_and_select 1/1 ... [2025-12-04 09:26:50.453140][972.599674125] 2025-12-04T09:26:50.4535137Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:50.4538797Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:50.453572] 2025-12-04T09:26:54.5084840Z 2025-12-04T09:26:54.5086064Z test_sort_and_select 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sort_and_select_1.1_7a68226755db7f64_.log 2025-12-04T09:26:54.5086896Z Running 0 items in this shard: 2025-12-04T09:26:54.5087099Z 2025-12-04T09:26:54.5087431Z Finished test_sort_and_select 1/1 ... [2025-12-04 09:26:54.508235][976.654769229], took 0.07min 2025-12-04T09:26:54.5102845Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-7abed652bbc5ca13.xml 2025-12-04T09:26:54.5368993Z Running test_cpp_api_parity 1/1 ... [2025-12-04 09:26:54.536593][976.683126506] 2025-12-04T09:26:54.5369643Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:54.5373241Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:54.537026] 2025-12-04T09:27:05.2416505Z 2025-12-04T09:27:05.2417770Z 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_494a5860c3dbb453_.log 2025-12-04T09:27:05.2418589Z Running 0 items in this shard: 2025-12-04T09:27:05.2418843Z 2025-12-04T09:27:05.2419127Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:27:05.241410][987.387943318], took 0.18min 2025-12-04T09:27:05.2436961Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-756d6ce3a5e55d56.xml 2025-12-04T09:27:05.3142214Z Running test_extension_utils 1/1 ... [2025-12-04 09:27:05.313792][987.460323554] 2025-12-04T09:27:05.3142769Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:05.3146187Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_extension_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:05.314278] 2025-12-04T09:27:08.9750272Z 2025-12-04T09:27:08.9751515Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_971fd23f21a702ad_.log 2025-12-04T09:27:08.9752378Z Running 0 items in this shard: 2025-12-04T09:27:08.9752577Z 2025-12-04T09:27:08.9752872Z Finished test_extension_utils 1/1 ... [2025-12-04 09:27:08.974798][991.121332275], took 0.06min 2025-12-04T09:27:08.9771845Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_extension_utils/test_extension_utils-24c17d9511788df0.xml 2025-12-04T09:27:09.0033052Z Running test_show_pickle 1/1 ... [2025-12-04 09:27:09.002977][991.149511198] 2025-12-04T09:27:09.0033776Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:09.0038023Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:09.003412] 2025-12-04T09:27:12.5845434Z 2025-12-04T09:27:12.5847651Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_9d1593e620dc4092_.log 2025-12-04T09:27:12.5848485Z Running 0 items in this shard: 2025-12-04T09:27:12.5848707Z 2025-12-04T09:27:12.5848982Z Finished test_show_pickle 1/1 ... [2025-12-04 09:27:12.584241][994.730767624], took 0.06min 2025-12-04T09:27:12.5871320Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-aa27bd0b1fd2cacf.xml 2025-12-04T09:27:12.6159974Z Running test_torch 1/1 ... [2025-12-04 09:27:12.615644][994.762170795] 2025-12-04T09:27:12.6160791Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:12.6165020Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:12.616186] 2025-12-04T09:27:43.1700706Z 2025-12-04T09:27:43.1701606Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_7bce2c6a30a67c8b_.log 2025-12-04T09:27:43.1738848Z Running 150 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::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 2025-12-04T09:27:43.1774384Z 2025-12-04T09:27:43.1774631Z Finished test_torch 1/1 ... [2025-12-04 09:27:43.169739][1025.316271915], took 0.51min 2025-12-04T09:27:43.1775585Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-9d8abbb3bfcb6d0d.xml 2025-12-04T09:27:43.2543104Z Running test_tensorexpr 1/1 ... [2025-12-04 09:27:43.253909][1025.400439203] 2025-12-04T09:27:43.2543618Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:43.2546514Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:43.254346] 2025-12-04T09:27:47.0325524Z 2025-12-04T09:27:47.0326447Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_da690afb744e1acd_.log 2025-12-04T09:27:47.0327891Z Running 0 items in this shard: 2025-12-04T09:27:47.0328148Z 2025-12-04T09:27:47.0328447Z Finished test_tensorexpr 1/1 ... [2025-12-04 09:27:47.032344][1029.178877467], took 0.06min 2025-12-04T09:27:47.0351627Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-8046dc3c8d1cbd18.xml 2025-12-04T09:27:47.0620266Z Running test_utils 1/1 ... [2025-12-04 09:27:47.061731][1029.208264322] 2025-12-04T09:27:47.0620796Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:47.0624082Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:47.062128] 2025-12-04T09:27:52.4884714Z 2025-12-04T09:27:52.4885794Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_12119ca707d2f77d_.log 2025-12-04T09:27:52.4913462Z 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 2025-12-04T09:27:52.4941338Z 2025-12-04T09:27:52.4941601Z Finished test_utils 1/1 ... [2025-12-04 09:27:52.488247][1034.634776564], took 0.09min 2025-12-04T09:27:52.4942594Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-9ad6503a94391d54.xml 2025-12-04T09:27:52.5250863Z Running test_namedtuple_return_api 1/1 ... [2025-12-04 09:27:52.524532][1034.671055508] 2025-12-04T09:27:52.5251442Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:52.5255344Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:52.525192] 2025-12-04T09:27:56.1285487Z 2025-12-04T09:27:56.1286514Z test_namedtuple_return_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtuple_return_api_1.1_7fa07067deaca72b_.log 2025-12-04T09:27:56.1287419Z Running 0 items in this shard: 2025-12-04T09:27:56.1287619Z 2025-12-04T09:27:56.1287960Z Finished test_namedtuple_return_api 1/1 ... [2025-12-04 09:27:56.128315][1038.274849203], took 0.06min 2025-12-04T09:27:56.1313014Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-1bd59788125ec240.xml 2025-12-04T09:27:56.1573056Z Running test_fake_tensor 1/1 ... [2025-12-04 09:27:56.156985][1038.303518341] 2025-12-04T09:27:56.1573572Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:56.1576258Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:56.157369] 2025-12-04T09:28:06.4294576Z 2025-12-04T09:28:06.4295503Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_6d20bfe1e4236e51_.log 2025-12-04T09:28:06.4312782Z Running 50 items in this shard: test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to 2025-12-04T09:28:06.4329746Z 2025-12-04T09:28:06.4330035Z Finished test_fake_tensor 1/1 ... [2025-12-04 09:28:06.429293][1048.575827434], took 0.17min 2025-12-04T09:28:06.4331067Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-5a1328a7049d5c19.xml 2025-12-04T09:28:06.5035983Z Running test_multiprocessing 1/1 ... [2025-12-04 09:28:06.503123][1048.649655337] 2025-12-04T09:28:06.5036516Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:06.5039669Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:28:06.503616] 2025-12-04T09:34:36.7960583Z 2025-12-04T09:34:36.7963537Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_c5875eb082c243a6_.log 2025-12-04T09:34:36.7998755Z Running 100 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple 2025-12-04T09:34:36.8033358Z 2025-12-04T09:34:36.8033666Z Finished test_multiprocessing 1/1 ... [2025-12-04 09:34:36.795448][1438.941979985], took 6.50min 2025-12-04T09:34:36.8035224Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-b6ac5ca3ec158a95.xml 2025-12-04T09:34:36.8770289Z Running test_fx 1/1 ... [2025-12-04 09:34:36.876406][1439.022930675] 2025-12-04T09:34:36.8771395Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:36.8774819Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:36.877151] 2025-12-04T09:39:02.2396212Z 2025-12-04T09:39:02.2399349Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_3ab9609656e5fa0f_.log 2025-12-04T09:39:02.2428949Z Running 100 items in this shard: test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7 2025-12-04T09:39:02.2457751Z 2025-12-04T09:39:02.2458014Z Finished test_fx 1/1 ... [2025-12-04 09:39:02.239414][1704.385944486], took 4.42min 2025-12-04T09:39:02.2458985Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx/test_fx-96dbafa7ed5a74c4.xml 2025-12-04T09:39:02.3705465Z Running test_autograd_fallback 1/1 ... [2025-12-04 09:39:02.370045][1704.516575945] 2025-12-04T09:39:02.3706020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:02.3708613Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:02.370515] 2025-12-04T09:39:06.0104226Z 2025-12-04T09:39:06.0105514Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_e2ae20481300372d_.log 2025-12-04T09:39:06.0106376Z Running 0 items in this shard: 2025-12-04T09:39:06.0106579Z 2025-12-04T09:39:06.0107187Z Finished test_autograd_fallback 1/1 ... [2025-12-04 09:39:06.010196][1708.156731169], took 0.06min 2025-12-04T09:39:06.0138719Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-e1ddf1fa4489f9eb.xml 2025-12-04T09:39:06.0446275Z Running test_autocast 1/1 ... [2025-12-04 09:39:06.044350][1708.190884221] 2025-12-04T09:39:06.0446748Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:06.0450454Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:06.044762] 2025-12-04T09:39:10.2082374Z 2025-12-04T09:39:10.2083381Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_66a4ec31979325d8_.log 2025-12-04T09:39:10.2084220Z Running 0 items in this shard: 2025-12-04T09:39:10.2084471Z 2025-12-04T09:39:10.2084762Z Finished test_autocast 1/1 ... [2025-12-04 09:39:10.208013][1712.354547607], took 0.07min 2025-12-04T09:39:10.2117693Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-77c55b1fbdb73591.xml 2025-12-04T09:39:10.2441704Z Running test_python_dispatch 1/1 ... [2025-12-04 09:39:10.243828][1712.390361563] 2025-12-04T09:39:10.2442230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:10.2445135Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:10.244231] 2025-12-04T09:39:15.6828776Z 2025-12-04T09:39:15.6830150Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_341a3feebcfb0184_.log 2025-12-04T09:39:15.6831172Z Running 0 items in this shard: 2025-12-04T09:39:15.6831389Z 2025-12-04T09:39:15.6831681Z Finished test_python_dispatch 1/1 ... [2025-12-04 09:39:15.682585][1717.829115189], took 0.09min 2025-12-04T09:39:15.6869739Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-6645e239d7b7f6c5.xml 2025-12-04T09:39:15.7117494Z Running test_jit_disabled 1/1 ... [2025-12-04 09:39:15.711375][1717.857904263] 2025-12-04T09:39:15.7121072Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:15.7122396Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:15.711901] 2025-12-04T09:39:19.3802490Z 2025-12-04T09:39:19.3803474Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_6b74657d854170a0_.log 2025-12-04T09:39:19.3804352Z Running 0 items in this shard: 2025-12-04T09:39:19.3804567Z 2025-12-04T09:39:19.3804851Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:39:19.379943][1721.526478082], took 0.06min 2025-12-04T09:39:19.3840122Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-009c8168b437de90.xml 2025-12-04T09:39:19.4082445Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:39:19.407948][1721.554482133] 2025-12-04T09:39:19.4082998Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:19.4086326Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:19.408329] 2025-12-04T09:39:22.9935078Z 2025-12-04T09:39:22.9936187Z 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_8a34bb47e4f9b3a0_.log 2025-12-04T09:39:22.9937145Z Running 0 items in this shard: 2025-12-04T09:39:22.9937345Z 2025-12-04T09:39:22.9937691Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:39:22.993240][1725.139772957], took 0.06min 2025-12-04T09:39:22.9974152Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-b0d6cc2dbfbab44b.xml 2025-12-04T09:39:23.0243509Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:39:23.024107][1725.170640293] 2025-12-04T09:39:23.0244161Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:23.0248031Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_memory_efficient_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:23.024527] 2025-12-04T09:39:27.0998460Z 2025-12-04T09:39:27.0999618Z functorch/test_memory_efficient_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_memory_efficient_fusion_1.1_6f08377307a86a14_.log 2025-12-04T09:39:27.1000631Z Running 0 items in this shard: 2025-12-04T09:39:27.1000829Z 2025-12-04T09:39:27.1001234Z Finished functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:39:27.099648][1729.246181531], took 0.07min 2025-12-04T09:39:27.1039446Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-f9a63119329d8526.xml 2025-12-04T09:39:27.1320412Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 09:39:27.131718][1729.278252846] 2025-12-04T09:39:27.1320977Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:27.1323619Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:27.132108] 2025-12-04T09:39:31.2271118Z 2025-12-04T09:39:31.2272154Z 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_26d22bbe1a45be5a_.log 2025-12-04T09:39:31.2273021Z Running 0 items in this shard: 2025-12-04T09:39:31.2273218Z 2025-12-04T09:39:31.2273526Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 09:39:31.226906][1733.373438341], took 0.07min 2025-12-04T09:39:31.2313503Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-e77e29e8e8349ae5.xml 2025-12-04T09:39:31.2573808Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:39:31.257023][1733.403557528] 2025-12-04T09:39:31.2574425Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:31.2578066Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:31.257450] 2025-12-04T09:39:34.8959395Z 2025-12-04T09:39:34.8960570Z 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_4cfc81a40866bee4_.log 2025-12-04T09:39:34.8961554Z Running 0 items in this shard: 2025-12-04T09:39:34.8961752Z 2025-12-04T09:39:34.9002890Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:39:34.895693][1737.042224574], took 0.06min 2025-12-04T09:39:34.9004423Z 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-a968f49ee396c681.xml 2025-12-04T09:39:34.9257675Z Running test_dispatch 1/1 ... [2025-12-04 09:39:34.925497][1737.072030337] 2025-12-04T09:39:34.9258162Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:34.9261551Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:34.925909] 2025-12-04T09:39:38.5643753Z 2025-12-04T09:39:38.5645122Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_3cd589d2cc3fc280_.log 2025-12-04T09:39:38.5646383Z Running 0 items in this shard: 2025-12-04T09:39:38.5646769Z 2025-12-04T09:39:38.5689129Z Finished test_dispatch 1/1 ... [2025-12-04 09:39:38.564157][1740.710691259], took 0.06min 2025-12-04T09:39:38.5690155Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-bd6cb8c314ff91cc.xml 2025-12-04T09:39:38.6008089Z Running nn/test_convolution 1/1 ... [2025-12-04 09:39:38.600456][1740.746989329] 2025-12-04T09:39:38.6008605Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:38.6011256Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:38.600851] 2025-12-04T09:39:43.0591311Z 2025-12-04T09:39:43.0592422Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_098caac21c450025_.log 2025-12-04T09:39:43.0593271Z Running 0 items in this shard: 2025-12-04T09:39:43.0593482Z 2025-12-04T09:39:43.0593776Z Finished nn/test_convolution 1/1 ... [2025-12-04 09:39:43.058908][1745.205442286], took 0.07min 2025-12-04T09:39:43.0638077Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-ded7e9e7507061a7.xml 2025-12-04T09:39:43.0906190Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 09:39:43.090303][1745.236836432] 2025-12-04T09:39:43.0906712Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:43.0909309Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:43.090687] 2025-12-04T09:39:47.1942635Z 2025-12-04T09:39:47.1943867Z 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_897315036276dec6_.log 2025-12-04T09:39:47.1944725Z Running 0 items in this shard: 2025-12-04T09:39:47.1944924Z 2025-12-04T09:39:47.1945244Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 09:39:47.194061][1749.340595506], took 0.07min 2025-12-04T09:39:47.1990908Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-f5075be81e082ba1.xml 2025-12-04T09:39:47.2250692Z Running test_nn 1/1 ... [2025-12-04 09:39:47.224744][1749.37127653] 2025-12-04T09:39:47.2251142Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:47.2254818Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:47.225167] 2025-12-04T09:39:53.9846232Z 2025-12-04T09:39:53.9847112Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_a57b89618ed1f199_.log 2025-12-04T09:39:53.9847804Z Running 0 items in this shard: 2025-12-04T09:39:53.9848018Z 2025-12-04T09:39:53.9848249Z Finished test_nn 1/1 ... [2025-12-04 09:39:53.984351][1756.130885885], took 0.11min 2025-12-04T09:39:53.9895084Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-4ac841d19d341be0.xml 2025-12-04T09:39:54.0629094Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 09:39:54.062518][1756.209050258] 2025-12-04T09:39:54.0629650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:54.0633082Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:54.062996] 2025-12-04T09:40:02.7877128Z 2025-12-04T09:40:02.7878201Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_3a9a42d4700273b7_.log 2025-12-04T09:40:02.7879125Z Running 0 items in this shard: 2025-12-04T09:40:02.7879346Z 2025-12-04T09:40:02.7879676Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 09:40:02.787484][1764.934015768], took 0.15min 2025-12-04T09:40:02.7928065Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-416cfb7655351b3d.xml 2025-12-04T09:40:02.8609398Z Running nn/test_pooling 1/1 ... [2025-12-04 09:40:02.860531][1765.007061573] 2025-12-04T09:40:02.8609911Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:02.8614023Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:02.861018] 2025-12-04T09:40:06.9235197Z 2025-12-04T09:40:06.9236440Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_e5468ec8f20b1a84_.log 2025-12-04T09:40:06.9237257Z Running 0 items in this shard: 2025-12-04T09:40:06.9237475Z 2025-12-04T09:40:06.9237766Z Finished nn/test_pooling 1/1 ... [2025-12-04 09:40:06.923105][1769.069622429], took 0.07min 2025-12-04T09:40:06.9294738Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-45044d5a56fc89c3.xml 2025-12-04T09:40:06.9581776Z Running test_cuda_trace 1/1 ... [2025-12-04 09:40:06.957765][1769.104296079] 2025-12-04T09:40:06.9582261Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:06.9585700Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:06.958242] 2025-12-04T09:40:10.5271909Z 2025-12-04T09:40:10.5272868Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_55bd07e2bc8ecc64_.log 2025-12-04T09:40:10.5273656Z Running 0 items in this shard: 2025-12-04T09:40:10.5273853Z 2025-12-04T09:40:10.5274127Z Finished test_cuda_trace 1/1 ... [2025-12-04 09:40:10.526955][1772.67348017], took 0.06min 2025-12-04T09:40:10.5327027Z Running test_native_mha 1/1 ... [2025-12-04 09:40:10.532521][1772.679056988] 2025-12-04T09:40:10.5327482Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:10.5331800Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:10.532906] 2025-12-04T09:40:14.6296049Z 2025-12-04T09:40:14.6296990Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_2b0480b9c534bc58_.log 2025-12-04T09:40:14.6297777Z Running 0 items in this shard: 2025-12-04T09:40:14.6297977Z 2025-12-04T09:40:14.6298246Z Finished test_native_mha 1/1 ... [2025-12-04 09:40:14.629338][1776.775871594], took 0.07min 2025-12-04T09:40:14.6348665Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-abc44d27b5a4f4a4.xml 2025-12-04T09:40:14.7373334Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:40:14.736919][1776.883451203] 2025-12-04T09:40:14.7373999Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:14.7376711Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:14.737361] 2025-12-04T09:40:18.4561629Z 2025-12-04T09:40:18.4562719Z 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_29da60781abe2a54_.log 2025-12-04T09:40:18.4563625Z Running 0 items in this shard: 2025-12-04T09:40:18.4563869Z 2025-12-04T09:40:18.4564178Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:40:18.455913][1780.602435813], took 0.06min 2025-12-04T09:40:18.4619670Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:40:18.461751][1780.608285387] 2025-12-04T09:40:18.4620174Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:18.4624346Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:18.462179] 2025-12-04T09:40:22.8975729Z 2025-12-04T09:40:22.8977545Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_adfbab6a8086931d_.log 2025-12-04T09:40:22.9014159Z 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 2025-12-04T09:40:22.9049507Z 2025-12-04T09:40:22.9049812Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:40:22.897485][1785.044006886], took 0.07min 2025-12-04T09:40:22.9051566Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-4450284071691d27.xml 2025-12-04T09:40:22.9943984Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 09:40:22.993865][1785.140396005] 2025-12-04T09:40:22.9944543Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:22.9947809Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:22.994403] 2025-12-04T09:40:27.0957652Z 2025-12-04T09:40:27.0958674Z 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_b663056641780e40_.log 2025-12-04T09:40:27.0959521Z Running 0 items in this shard: 2025-12-04T09:40:27.0959720Z 2025-12-04T09:40:27.0960026Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 09:40:27.095568][1789.242098713], took 0.07min 2025-12-04T09:40:27.1025095Z Running test_reductions 1/1 ... [2025-12-04 09:40:27.102331][1789.248866455] 2025-12-04T09:40:27.1025567Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:27.1029851Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:27.102721] 2025-12-04T09:40:32.4015072Z 2025-12-04T09:40:32.4016026Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_2189b3bc11bf7cf4_.log 2025-12-04T09:40:32.4016811Z Running 0 items in this shard: 2025-12-04T09:40:32.4017011Z 2025-12-04T09:40:32.4017297Z Finished test_reductions 1/1 ... [2025-12-04 09:40:32.401280][1794.547810587], took 0.09min 2025-12-04T09:40:32.4082061Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-75e2649044dfb12f.xml 2025-12-04T09:40:32.4837550Z Running test_spectral_ops 1/1 ... [2025-12-04 09:40:32.483297][1794.629827244] 2025-12-04T09:40:32.4838063Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:32.4842106Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:32.483876] 2025-12-04T09:40:37.4233058Z 2025-12-04T09:40:37.4234063Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_c2b818f0269f99e5_.log 2025-12-04T09:40:37.4235182Z Running 0 items in this shard: 2025-12-04T09:40:37.4235382Z 2025-12-04T09:40:37.4235788Z Finished test_spectral_ops 1/1 ... [2025-12-04 09:40:37.423133][1799.569664645], took 0.08min 2025-12-04T09:40:37.4289852Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-8a52478650309394.xml 2025-12-04T09:40:37.4514851Z Running distributions/test_distributions 1/1 ... [2025-12-04 09:40:37.451257][1799.597793117] 2025-12-04T09:40:37.4515587Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:37.4518580Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:37.451598] 2025-12-04T09:40:42.0316357Z 2025-12-04T09:40:42.0317377Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_8c89f2ea654db6dc_.log 2025-12-04T09:40:42.0338544Z 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 2025-12-04T09:40:42.0358584Z 2025-12-04T09:40:42.0358951Z Finished distributions/test_distributions 1/1 ... [2025-12-04 09:40:42.031509][1804.178044571], took 0.08min 2025-12-04T09:40:42.0375626Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-1e70e608319eb920.xml 2025-12-04T09:40:42.0689767Z Running test_autoload_disable 1/1 ... [2025-12-04 09:40:42.068677][1804.215211083] 2025-12-04T09:40:42.4055014Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:40:45.6468585Z Preparing metadata (pyproject.toml) ... [?25l- \ done 2025-12-04T09:40:45.6489787Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:40:56.6072097Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done 2025-12-04T09:40:56.6346722Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079477 sha256=48a6b3df98527655e567ded4609b55328d8c51387fc3ff338b94cb6c017bc6da 2025-12-04T09:40:56.6348203Z Stored in directory: /tmp/pip-ephem-wheel-cache-im8wlior/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:40:56.6369026Z Successfully built torch_test_cpp_extension 2025-12-04T09:40:57.0155713Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:40:57.1944818Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:40:59.1011108Z W1204 09:40:59.100000 5456 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T09:41:00.1825648Z 2025-12-04T09:41:00.1826131Z Running tests... 2025-12-04T09:41:00.1826512Z ---------------------------------------------------------------------- 2025-12-04T09:41:00.3634965Z . 2025-12-04T09:41:00.3635393Z ---------------------------------------------------------------------- 2025-12-04T09:41:00.3635807Z Ran 1 test in 0.181s 2025-12-04T09:41:00.3635980Z 2025-12-04T09:41:00.3636060Z OK 2025-12-04T09:41:00.3636179Z 2025-12-04T09:41:00.3636284Z Generating XML reports... 2025-12-04T09:41:01.1478084Z Finished test_autoload_disable 1/1 ... [2025-12-04 09:41:01.147375][1823.293900284], took 0.32min 2025-12-04T09:41:01.1538309Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204094100.xml 2025-12-04T09:41:01.2372021Z Running test_autoload_enable 1/1 ... [2025-12-04 09:41:01.236815][1823.383346687] 2025-12-04T09:41:01.5860095Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:41:05.2997023Z Preparing metadata (pyproject.toml) ... [?25l- \ done 2025-12-04T09:41:05.3029005Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:41:16.4644906Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done 2025-12-04T09:41:16.4915673Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079477 sha256=6b3cb7b52b86fb6994ed4b0e2c212d6119764cbc9db6a9caf1e9076dda53d5fd 2025-12-04T09:41:16.4917205Z Stored in directory: /tmp/pip-ephem-wheel-cache-5ohqvn74/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:41:16.4937513Z Successfully built torch_test_cpp_extension 2025-12-04T09:41:16.8668802Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:41:17.0464815Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:41:18.8328156Z W1204 09:41:18.832000 5641 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T09:41:19.9428130Z 2025-12-04T09:41:19.9428803Z Running tests... 2025-12-04T09:41:19.9429221Z ---------------------------------------------------------------------- 2025-12-04T09:41:20.1282498Z . 2025-12-04T09:41:20.1282892Z ---------------------------------------------------------------------- 2025-12-04T09:41:20.1283294Z Ran 1 test in 0.185s 2025-12-04T09:41:20.1283483Z 2025-12-04T09:41:20.1283605Z OK 2025-12-04T09:41:20.1283855Z 2025-12-04T09:41:20.1284071Z Generating XML reports... 2025-12-04T09:41:21.0248215Z Finished test_autoload_enable 1/1 ... [2025-12-04 09:41:21.024382][1843.170902438], took 0.33min 2025-12-04T09:41:21.0309596Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204094119.xml 2025-12-04T09:41:21.1382412Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:41:21.137816][1843.284347339] 2025-12-04T09:41:21.5346438Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:41:25.0718318Z Preparing metadata (pyproject.toml) ... [?25l- \ done 2025-12-04T09:41:25.0741749Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:41:36.5853738Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done 2025-12-04T09:41:36.6124745Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079605 sha256=4f96900f783c9300e2b5d4c5edc9994c342f1d0e2006b0329bc02b17a8b98a3b 2025-12-04T09:41:36.6126347Z Stored in directory: /tmp/pip-ephem-wheel-cache-nf1g2c6p/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:41:36.6147132Z Successfully built torch_test_cpp_extension 2025-12-04T09:41:36.9937290Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:41:37.1720840Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:41:37.6215803Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:41:39.6519284Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:41:39.6542401Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:41:42.0953179Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:41:42.0960948Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2944 sha256=95c71125835d704fe75b6faa1830ea9e5f2ce37d1b1b5005d9ae431285c7bc7a 2025-12-04T09:41:42.0962811Z Stored in directory: /tmp/pip-ephem-wheel-cache-nplybb5n/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T09:41:42.0983813Z Successfully built no_python_abi_suffix_test 2025-12-04T09:41:42.4787369Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:41:42.4902244Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:41:42.5836136Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:42.5839797Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:41:42.583586] 2025-12-04T09:41:46.6661564Z 2025-12-04T09:41:46.6663245Z 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_221549c31fa5494e_.log 2025-12-04T09:41:46.6664172Z Running 0 items in this shard: 2025-12-04T09:41:46.6664371Z 2025-12-04T09:41:46.6664711Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:41:46.666057][1868.812590736], took 0.43min 2025-12-04T09:41:46.6723545Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-c6b88db5688eb4a6.xml 2025-12-04T09:41:46.7957574Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:41:46.795213][1868.941740259] 2025-12-04T09:41:47.1840155Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:41:50.7568027Z Preparing metadata (pyproject.toml) ... [?25l- \ done 2025-12-04T09:41:50.7591053Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:42:01.7841931Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done 2025-12-04T09:42:01.8113848Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079477 sha256=8d5942374468ef21105812ddd3a9b70a7bb2f655fafbc00f5793e13db87f777c 2025-12-04T09:42:01.8115314Z Stored in directory: /tmp/pip-ephem-wheel-cache-b09d7ij1/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:42:01.8135168Z Successfully built torch_test_cpp_extension 2025-12-04T09:42:02.1909308Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:42:02.3687652Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:42:02.8174304Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:42:04.9152401Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:42:04.9176234Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:42:07.1588407Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:42:07.1595706Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2944 sha256=2aecadc03e9eabf39210d6ce9dfed44ef959be092029f9e30b4c16b43d8768d5 2025-12-04T09:42:07.1597228Z Stored in directory: /tmp/pip-ephem-wheel-cache-grcwgqim/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T09:42:07.1616637Z Successfully built no_python_abi_suffix_test 2025-12-04T09:42:07.5370752Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:42:07.5481869Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:42:07.6380590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:42:07.6385127Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:42:07.638144] 2025-12-04T09:42:11.7364339Z 2025-12-04T09:42:11.7365554Z 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_5fcb9d2198ad6f68_.log 2025-12-04T09:42:11.7366491Z Running 0 items in this shard: 2025-12-04T09:42:11.7366690Z 2025-12-04T09:42:11.7367060Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:42:11.736313][1893.882845948], took 0.42min 2025-12-04T09:42:11.7428054Z 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-a8768ce6db635d57.xml 2025-12-04T09:42:11.8143882Z Running inductor/test_aot_inductor 1/1 ... [2025-12-04 09:42:11.814003][1893.960535667] 2025-12-04T09:42:11.8144433Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:42:11.8147604Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:42:11.814430] 2025-12-04T09:42:21.0586493Z 2025-12-04T09:42:21.0587581Z inductor/test_aot_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_1.1_ba28fa57fca1e1a6_.log 2025-12-04T09:42:21.0588388Z 2025-12-04T09:42:21.0588718Z Finished inductor/test_aot_inductor 1/1 ... [2025-12-04 09:42:21.058416][1903.204950359], took 0.15min 2025-12-04T09:42:21.0655013Z Running inductor/test_kernel_benchmark 1/1 ... [2025-12-04 09:42:21.065280][1903.211815344] 2025-12-04T09:42:21.0655564Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:42:21.0659389Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_kernel_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 09:42:21.065687] 2025-12-04T09:42:29.8818688Z 2025-12-04T09:42:29.8819851Z inductor/test_kernel_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_benchmark_1.1_8f99229fa5ecf2f4_.log 2025-12-04T09:42:29.8820674Z 2025-12-04T09:42:29.8821042Z Finished inductor/test_kernel_benchmark 1/1 ... [2025-12-04 09:42:29.881500][1912.028033225], took 0.15min 2025-12-04T09:42:29.8888084Z Running inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:42:29.888533][1912.035066869] 2025-12-04T09:42:29.8888640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:42:29.8893482Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pattern_matcher.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 09:42:29.889000] 2025-12-04T09:42:38.8007872Z 2025-12-04T09:42:38.8008912Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_e0e5dbe6e00e2b75_.log 2025-12-04T09:42:38.8009730Z 2025-12-04T09:42:38.8010086Z Finished inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:42:38.800527][1920.947062021], took 0.15min 2025-12-04T09:42:38.8075668Z Running inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:42:38.807369][1920.953902608] 2025-12-04T09:42:38.8076208Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:42:38.8080369Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:42:38.807778] 2025-12-04T09:42:47.7713556Z 2025-12-04T09:42:47.7714744Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_c072d053000682ca_.log 2025-12-04T09:42:47.7715564Z 2025-12-04T09:42:47.7715908Z Finished inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:42:47.771116][1929.917648933], took 0.15min 2025-12-04T09:42:47.7782652Z Running dynamo/test_logging 1/1 ... [2025-12-04 09:42:47.778024][1929.924557806] 2025-12-04T09:42:47.7783151Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:42:47.7787221Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_logging.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 09:42:47.778463] 2025-12-04T09:42:56.7284937Z 2025-12-04T09:42:56.7285973Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_b340237571e85c82_.log 2025-12-04T09:42:56.7286809Z Running 0 items in this shard: 2025-12-04T09:42:56.7287008Z 2025-12-04T09:42:56.7287307Z Finished dynamo/test_logging 1/1 ... [2025-12-04 09:42:56.728243][1938.874774405], took 0.15min 2025-12-04T09:42:56.7349088Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_logging/dynamo.test_logging-4a35c298d1b88d1d.xml 2025-12-04T09:42:56.7972498Z Running dynamo/test_repros 1/1 ... [2025-12-04 09:42:56.796860][1938.943391865] 2025-12-04T09:42:56.7973030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:42:56.7976053Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_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 09:42:56.797312] 2025-12-04T09:43:09.9248128Z 2025-12-04T09:43:09.9249111Z dynamo/test_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_repros_1.1_6393c577c0167b92_.log 2025-12-04T09:43:09.9262720Z Running 50 items in this shard: test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand 2025-12-04T09:43:09.9275687Z 2025-12-04T09:43:09.9276001Z Finished dynamo/test_repros 1/1 ... [2025-12-04 09:43:09.924641][1952.07116845], took 0.22min 2025-12-04T09:43:09.9313775Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_repros/dynamo.test_repros-1856e7833240cad1.xml 2025-12-04T09:43:10.1254564Z Running inductor/test_cuda_select_algorithm 1/1 ... [2025-12-04 09:43:10.124969][1952.271500244] 2025-12-04T09:43:10.1255567Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:10.1258571Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_select_algorithm.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 09:43:10.125452] 2025-12-04T09:43:19.4481262Z 2025-12-04T09:43:19.4482866Z inductor/test_cuda_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_select_algorithm_1.1_8bf21bdd110e1e96_.log 2025-12-04T09:43:19.4484598Z Running 0 items in this shard: 2025-12-04T09:43:19.4484815Z 2025-12-04T09:43:19.4485183Z Finished inductor/test_cuda_select_algorithm 1/1 ... [2025-12-04 09:43:19.447918][1961.594452118], took 0.16min 2025-12-04T09:43:19.4548690Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-a7724b572a448293.xml 2025-12-04T09:43:19.5291834Z Running inductor/test_flex_decoding 1/1 ... [2025-12-04 09:43:19.528541][1961.675072276] 2025-12-04T09:43:19.5293416Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:19.5295141Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_decoding.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 09:43:19.529082] 2025-12-04T09:43:23.5321836Z 2025-12-04T09:43:23.5323392Z inductor/test_flex_decoding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_decoding_1.1_2f2a8767bdf5be78_.log 2025-12-04T09:43:23.5324409Z Running 0 items in this shard: 2025-12-04T09:43:23.5324633Z 2025-12-04T09:43:23.5324971Z Finished inductor/test_flex_decoding 1/1 ... [2025-12-04 09:43:23.531834][1965.678363079], took 0.07min 2025-12-04T09:43:23.5394941Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_decoding/inductor.test_flex_decoding-b4a14baeed3f8abe.xml 2025-12-04T09:43:23.5699056Z Running inductor/test_native_matmul 1/1 ... [2025-12-04 09:43:23.569595][1965.716129101] 2025-12-04T09:43:23.5699701Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:23.5703179Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_native_matmul.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:23.569973] 2025-12-04T09:43:32.3995998Z 2025-12-04T09:43:32.3997081Z inductor/test_native_matmul 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_native_matmul_1.1_dda0b40919f3b093_.log 2025-12-04T09:43:32.3997861Z 2025-12-04T09:43:32.3998208Z Finished inductor/test_native_matmul 1/1 ... [2025-12-04 09:43:32.399338][1974.545872622], took 0.15min 2025-12-04T09:43:32.4070638Z Running inductor/test_aot_inductor_package 1/1 ... [2025-12-04 09:43:32.406804][1974.553338465] 2025-12-04T09:43:32.4071201Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:32.4075091Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_package.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 09:43:32.407241] 2025-12-04T09:43:41.2147473Z 2025-12-04T09:43:41.2149249Z inductor/test_aot_inductor_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_package_1.1_8238efb85688ed80_.log 2025-12-04T09:43:41.2150698Z 2025-12-04T09:43:41.2224678Z Finished inductor/test_aot_inductor_package 1/1 ... [2025-12-04 09:43:41.214429][1983.3609599], took 0.15min 2025-12-04T09:43:41.2225516Z Running inductor/test_online_softmax 1/1 ... [2025-12-04 09:43:41.222113][1983.36864606] 2025-12-04T09:43:41.2226061Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:41.2228780Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_online_softmax.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 09:43:41.222585] 2025-12-04T09:43:49.9577721Z 2025-12-04T09:43:49.9579154Z inductor/test_online_softmax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_online_softmax_1.1_9a5fdb7edccfd76d_.log 2025-12-04T09:43:49.9579983Z 2025-12-04T09:43:49.9580328Z Finished inductor/test_online_softmax 1/1 ... [2025-12-04 09:43:49.957520][1992.104054835], took 0.15min 2025-12-04T09:43:49.9653016Z Running inductor/test_unbacked_symints 1/1 ... [2025-12-04 09:43:49.965052][1992.111585832] 2025-12-04T09:43:49.9654081Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:49.9657669Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_unbacked_symints.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 09:43:49.965458] 2025-12-04T09:43:58.9259072Z 2025-12-04T09:43:58.9260463Z inductor/test_unbacked_symints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_unbacked_symints_1.1_d560bc1ff88354af_.log 2025-12-04T09:43:58.9261412Z Running 0 items in this shard: 2025-12-04T09:43:58.9261612Z 2025-12-04T09:43:58.9261963Z Finished inductor/test_unbacked_symints 1/1 ... [2025-12-04 09:43:58.925680][2001.072215035], took 0.15min 2025-12-04T09:43:58.9326977Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_unbacked_symints/inductor.test_unbacked_symints-35b396c0b1ffdad3.xml 2025-12-04T09:43:59.0010735Z Running inductor/test_mix_order_reduction 1/1 ... [2025-12-04 09:43:59.000685][2001.147217198] 2025-12-04T09:43:59.0011348Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:59.0014298Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mix_order_reduction.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:59.001085] 2025-12-04T09:44:07.7394130Z 2025-12-04T09:44:07.7395505Z inductor/test_mix_order_reduction 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mix_order_reduction_1.1_4a02bfaee3a6c96e_.log 2025-12-04T09:44:07.7396352Z 2025-12-04T09:44:07.7396713Z Finished inductor/test_mix_order_reduction 1/1 ... [2025-12-04 09:44:07.739133][2009.885668653], took 0.15min 2025-12-04T09:44:07.7469463Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 09:44:07.746682][2009.893216319] 2025-12-04T09:44:07.7470118Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:07.7473893Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:44:07.747093] 2025-12-04T09:44:16.3829059Z 2025-12-04T09:44:16.3830764Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_d6bf0ae3c4510fef_.log 2025-12-04T09:44:16.3832473Z 2025-12-04T09:44:16.3833109Z Finished inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 09:44:16.382635][2018.529170835], took 0.14min 2025-12-04T09:44:16.3905387Z Running test_varlen_attention 1/1 ... [2025-12-04 09:44:16.390203][2018.536738086] 2025-12-04T09:44:16.3905940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:16.3908778Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_varlen_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:44:16.390596] 2025-12-04T09:44:20.5032940Z 2025-12-04T09:44:20.5034276Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_985577086ef1ae81_.log 2025-12-04T09:44:20.5035393Z Running 0 items in this shard: 2025-12-04T09:44:20.5035593Z 2025-12-04T09:44:20.5035892Z Finished test_varlen_attention 1/1 ... [2025-12-04 09:44:20.503027][2022.649562093], took 0.07min 2025-12-04T09:44:20.5103960Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-a15a73aed85fe7f6.xml 2025-12-04T09:44:20.5934068Z Running test_matmul_cuda 1/1 ... [2025-12-04 09:44:20.592985][2022.739517644] 2025-12-04T09:44:20.5934849Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:20.5937111Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_matmul_cuda.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 09:44:20.593367] 2025-12-04T09:44:29.5088294Z 2025-12-04T09:44:29.5089579Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_f479eff6676a6d5b_.log 2025-12-04T09:44:29.5090353Z Running 0 items in this shard: 2025-12-04T09:44:29.5090563Z 2025-12-04T09:44:29.5090874Z Finished test_matmul_cuda 1/1 ... [2025-12-04 09:44:29.508514][2031.655047765], took 0.15min 2025-12-04T09:44:29.5159162Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_matmul_cuda/test_matmul_cuda-88601e058e14095f.xml 2025-12-04T09:44:29.5843721Z Running test_sparse 1/1 ... [2025-12-04 09:44:29.583990][2031.730520667] 2025-12-04T09:44:29.5844421Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:29.5847217Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse.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 09:44:29.584417] 2025-12-04T09:44:35.0089321Z 2025-12-04T09:44:35.0090417Z test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_1.1_3c4dceddf04c0a6e_.log 2025-12-04T09:44:35.0091159Z Running 0 items in this shard: 2025-12-04T09:44:35.0091433Z 2025-12-04T09:44:35.0091682Z Finished test_sparse 1/1 ... [2025-12-04 09:44:35.008651][2037.155184734], took 0.09min 2025-12-04T09:44:35.0162759Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sparse/test_sparse-b62b5ce5e33c1a4f.xml 2025-12-04T09:44:35.0431608Z Running higher_order_ops/test_local_map 1/1 ... [2025-12-04 09:44:35.042823][2037.189355736] 2025-12-04T09:44:35.0432308Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:35.0435774Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_local_map.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 09:44:35.043224] 2025-12-04T09:44:39.2881839Z 2025-12-04T09:44:39.2883204Z higher_order_ops/test_local_map 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_local_map_1.1_97c5f576c062210f_.log 2025-12-04T09:44:39.2884196Z Running 0 items in this shard: 2025-12-04T09:44:39.2884395Z 2025-12-04T09:44:39.2884735Z Finished higher_order_ops/test_local_map 1/1 ... [2025-12-04 09:44:39.287893][2041.434426428], took 0.07min 2025-12-04T09:44:39.2958057Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_local_map/higher_order_ops.test_local_map-daa402dd66b4d6a2.xml 2025-12-04T09:44:39.3206014Z Running test_dataloader 1/1 ... [2025-12-04 09:44:39.320283][2041.466815445] 2025-12-04T09:44:39.3206642Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:39.3210519Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dataloader.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 09:44:39.320716] 2025-12-04T09:44:44.2026417Z 2025-12-04T09:44:44.2027360Z test_dataloader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_1.1_bc75d0b338a3136a_.log 2025-12-04T09:44:44.2028140Z Running 0 items in this shard: 2025-12-04T09:44:44.2028355Z 2025-12-04T09:44:44.2028629Z Finished test_dataloader 1/1 ... [2025-12-04 09:44:44.202424][2046.348954477], took 0.08min 2025-12-04T09:44:44.2102233Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dataloader/test_dataloader-e0c194c52ba53d4a.xml 2025-12-04T09:44:44.2347944Z Running test_ops_jit 1/1 ... [2025-12-04 09:44:44.234552][2046.381085748] 2025-12-04T09:44:44.2348393Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:44.2352201Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_jit.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 09:44:44.234963] 2025-12-04T09:44:49.4747553Z 2025-12-04T09:44:49.4748423Z test_ops_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.1_713c7d392118274e_.log 2025-12-04T09:44:49.4749168Z Running 0 items in this shard: 2025-12-04T09:44:49.4749367Z 2025-12-04T09:44:49.4825471Z Finished test_ops_jit 1/1 ... [2025-12-04 09:44:49.474509][2051.621043389], took 0.09min 2025-12-04T09:44:49.4826501Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-5eb73ed42222f570.xml 2025-12-04T09:44:49.5105283Z Running test_linalg 1/1 ... [2025-12-04 09:44:49.510219][2051.656752898] 2025-12-04T09:44:49.5105757Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:49.5108883Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_linalg.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 09:44:49.510615] 2025-12-04T09:44:54.0466346Z 2025-12-04T09:44:54.0467361Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_1fbb333731df6aa4_.log 2025-12-04T09:44:54.0468262Z Running 0 items in this shard: 2025-12-04T09:44:54.0468478Z 2025-12-04T09:44:54.0468744Z Finished test_linalg 1/1 ... [2025-12-04 09:44:54.046353][2056.192887687], took 0.08min 2025-12-04T09:44:54.0545187Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_linalg/test_linalg-21ccd936aec67383.xml 2025-12-04T09:44:54.0792724Z Running functorch/test_ops 1/1 ... [2025-12-04 09:44:54.078999][2056.225532413] 2025-12-04T09:44:54.0793228Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:54.0796795Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_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 09:44:54.079393] 2025-12-04T09:44:59.6140685Z 2025-12-04T09:44:59.6141647Z functorch/test_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.1_23fa8b8967765df6_.log 2025-12-04T09:44:59.6142467Z Running 0 items in this shard: 2025-12-04T09:44:59.6142676Z 2025-12-04T09:44:59.6142979Z Finished functorch/test_ops 1/1 ... [2025-12-04 09:44:59.613874][2061.760408393], took 0.09min 2025-12-04T09:44:59.6220211Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-da704c08f056d576.xml 2025-12-04T09:44:59.6505863Z Running dynamo/test_dynamic_shapes 2/2 ... [2025-12-04 09:44:59.650284][2061.796819422] 2025-12-04T09:44:59.6506689Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:59.6509286Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:44:59.650655] 2025-12-04T09:45:14.4859864Z 2025-12-04T09:45:14.4860903Z dynamo/test_dynamic_shapes 2/2 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_2.2_067d7adebeda31d7_.log 2025-12-04T09:45:14.4861810Z Running 0 items in this shard: 2025-12-04T09:45:14.4862009Z 2025-12-04T09:45:14.4862330Z Finished dynamo/test_dynamic_shapes 2/2 ... [2025-12-04 09:45:14.485748][2076.632282768], took 0.25min 2025-12-04T09:45:14.4941778Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-b25bd49b81f5aff0.xml 2025-12-04T09:45:14.5632061Z Running inductor/test_cpu_repro 1/4 ... [2025-12-04 09:45:14.562830][2076.709361387] 2025-12-04T09:45:14.5632581Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:14.5635727Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:45:14.563252] 2025-12-04T09:45:25.2688682Z 2025-12-04T09:45:25.2689845Z inductor/test_cpu_repro 1/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_1.4_b8d05f58029e9691_.log 2025-12-04T09:45:25.2690728Z Running 0 items in this shard: 2025-12-04T09:45:25.2690929Z 2025-12-04T09:45:25.2691246Z Finished inductor/test_cpu_repro 1/4 ... [2025-12-04 09:45:25.268648][2087.415181494], took 0.18min 2025-12-04T09:45:25.2781465Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-0c98131f57a2284d.xml 2025-12-04T09:45:25.3586987Z Running inductor/test_cpu_repro 3/4 ... [2025-12-04 09:45:25.358334][2087.504866491] 2025-12-04T09:45:25.3587556Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:25.3590635Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:45:25.358788] 2025-12-04T09:45:36.1974382Z 2025-12-04T09:45:36.1975416Z inductor/test_cpu_repro 3/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_3.4_e68e74bf5ac2c44d_.log 2025-12-04T09:45:36.1976288Z Running 0 items in this shard: 2025-12-04T09:45:36.1976540Z 2025-12-04T09:45:36.1976868Z Finished inductor/test_cpu_repro 3/4 ... [2025-12-04 09:45:36.197227][2098.343761419], took 0.18min 2025-12-04T09:45:36.2068316Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-7d7a5c3afcd68134.xml 2025-12-04T09:45:36.2728045Z Running inductor/test_smoke 1/1 ... [2025-12-04 09:45:36.272454][2098.418985905] 2025-12-04T09:45:36.2728578Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:36.2731630Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:45:36.272869] 2025-12-04T09:45:45.0692454Z 2025-12-04T09:45:45.0694359Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_541dacf290a813a6_.log 2025-12-04T09:45:45.0695775Z 2025-12-04T09:45:45.0696253Z Finished inductor/test_smoke 1/1 ... [2025-12-04 09:45:45.068977][2107.215510045], took 0.15min 2025-12-04T09:45:45.3454464Z Uploading artifacts took 0.27 seconds 2025-12-04T09:45:45.3458246Z Running inductor/test_custom_lowering 1/1 ... [2025-12-04 09:45:45.345607][2107.49213851] 2025-12-04T09:45:45.3458795Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:45.3463555Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_lowering.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 09:45:45.346080] 2025-12-04T09:45:54.1818801Z 2025-12-04T09:45:54.1820268Z inductor/test_custom_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_lowering_1.1_bc44dde4a37f5a1d_.log 2025-12-04T09:45:54.1821273Z Running 0 items in this shard: 2025-12-04T09:45:54.1821483Z 2025-12-04T09:45:54.1821825Z Finished inductor/test_custom_lowering 1/1 ... [2025-12-04 09:45:54.181673][2116.328204722], took 0.15min 2025-12-04T09:45:54.1913952Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-715ce84d1802b40b.xml 2025-12-04T09:45:54.2595891Z Running inductor/test_perf 1/1 ... [2025-12-04 09:45:54.259192][2116.405723504] 2025-12-04T09:45:54.2596527Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:54.2599909Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_perf.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 09:45:54.259646] 2025-12-04T09:46:03.1232291Z 2025-12-04T09:46:03.1233701Z inductor/test_perf 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_perf_1.1_f2eac45d7d6c6d31_.log 2025-12-04T09:46:03.1234436Z 2025-12-04T09:46:03.1234983Z Finished inductor/test_perf 1/1 ... [2025-12-04 09:46:03.123008][2125.269541318], took 0.15min 2025-12-04T09:46:03.1333133Z Running inductor/test_fused_attention 1/1 ... [2025-12-04 09:46:03.133031][2125.279565665] 2025-12-04T09:46:03.1333789Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:03.1337471Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:46:03.133437] 2025-12-04T09:46:12.2619087Z 2025-12-04T09:46:12.2620210Z inductor/test_fused_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fused_attention_1.1_dcab9ea598b00ee8_.log 2025-12-04T09:46:12.2621173Z Running 0 items in this shard: 2025-12-04T09:46:12.2621372Z 2025-12-04T09:46:12.2621732Z Finished inductor/test_fused_attention 1/1 ... [2025-12-04 09:46:12.261655][2134.408189352], took 0.15min 2025-12-04T09:46:12.2706398Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fused_attention/inductor.test_fused_attention-e7a7c8a7c7ff09fe.xml 2025-12-04T09:46:12.3415114Z Running inductor/test_binary_folding 1/1 ... [2025-12-04 09:46:12.341098][2134.487629792] 2025-12-04T09:46:12.3415684Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:12.3418906Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_binary_folding.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 09:46:12.341543] 2025-12-04T09:46:21.4922349Z 2025-12-04T09:46:21.4923375Z inductor/test_binary_folding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_binary_folding_1.1_5a6728b78d4fd235_.log 2025-12-04T09:46:21.4924346Z Running 0 items in this shard: 2025-12-04T09:46:21.4924561Z 2025-12-04T09:46:21.4924897Z Finished inductor/test_binary_folding 1/1 ... [2025-12-04 09:46:21.492026][2143.638561283], took 0.15min 2025-12-04T09:46:21.5017583Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_binary_folding/inductor.test_binary_folding-4420148ef521943a.xml 2025-12-04T09:46:21.6089724Z Running inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 09:46:21.608526][2143.755056952] 2025-12-04T09:46:21.6090325Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:21.6093928Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:46:21.609081] 2025-12-04T09:46:31.4421944Z 2025-12-04T09:46:31.4423120Z inductor/test_mkldnn_pattern_matcher 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.2_e0da88a9a89914e3_.log 2025-12-04T09:46:31.4424100Z Running 0 items in this shard: 2025-12-04T09:46:31.4424315Z 2025-12-04T09:46:31.4424689Z Finished inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 09:46:31.441969][2153.588503205], took 0.16min 2025-12-04T09:46:31.4513375Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-4f183bb167615534.xml 2025-12-04T09:46:31.5336034Z Running inductor/test_mkldnn_pattern_matcher 2/2 ... [2025-12-04 09:46:31.533147][2153.679678729] 2025-12-04T09:46:31.5336662Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:31.5339076Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:46:31.533602] 2025-12-04T09:46:41.2567148Z 2025-12-04T09:46:41.2568522Z inductor/test_mkldnn_pattern_matcher 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_2.2_9fc2f7a0a85d0d6f_.log 2025-12-04T09:46:41.2569651Z Running 0 items in this shard: 2025-12-04T09:46:41.2569869Z 2025-12-04T09:46:41.2570329Z Finished inductor/test_mkldnn_pattern_matcher 2/2 ... [2025-12-04 09:46:41.256460][2163.402995392], took 0.16min 2025-12-04T09:46:41.2658250Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-1d698e96ac0889ea.xml 2025-12-04T09:46:41.3361189Z Running inductor/test_inductor_freezing 1/1 ... [2025-12-04 09:46:41.335780][2163.482312781] 2025-12-04T09:46:41.3361764Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:41.3365111Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_freezing.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 09:46:41.336173] 2025-12-04T09:46:50.6109551Z 2025-12-04T09:46:50.6110865Z inductor/test_inductor_freezing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_freezing_1.1_4a7e0f6499b141fd_.log 2025-12-04T09:46:50.6111944Z Running 0 items in this shard: 2025-12-04T09:46:50.6112582Z 2025-12-04T09:46:50.6113189Z Finished inductor/test_inductor_freezing 1/1 ... [2025-12-04 09:46:50.610681][2172.757215785], took 0.15min 2025-12-04T09:46:50.6200232Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_freezing/inductor.test_inductor_freezing-b48b299f5594cfd6.xml 2025-12-04T09:46:50.6917652Z Running dynamo/test_unspec 1/1 ... [2025-12-04 09:46:50.691329][2172.837861208] 2025-12-04T09:46:50.6918401Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:50.6920421Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_unspec.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 09:46:50.691732] 2025-12-04T09:46:55.0392070Z 2025-12-04T09:46:55.0393208Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_1028f805a9a76e4a_.log 2025-12-04T09:46:55.0394262Z Running 0 items in this shard: 2025-12-04T09:46:55.0394484Z 2025-12-04T09:46:55.0394785Z Finished dynamo/test_unspec 1/1 ... [2025-12-04 09:46:55.038974][2177.185507869], took 0.07min 2025-12-04T09:46:55.0485598Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_unspec/dynamo.test_unspec-e8e6ab5043f3fb61.xml 2025-12-04T09:46:55.1088219Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:46:55.108398][2177.254927168] 2025-12-04T09:46:55.1088818Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:55.1093044Z Executing ['/opt/conda/envs/py_3.10/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 09:46:55.108957] 2025-12-04T09:47:05.1530762Z 2025-12-04T09:47:05.1532173Z 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_21766e5c2aaca936_.log 2025-12-04T09:47:05.1533080Z Running 0 items in this shard: 2025-12-04T09:47:05.1533299Z 2025-12-04T09:47:05.1533631Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:47:05.152824][2187.299356589], took 0.17min 2025-12-04T09:47:05.1626838Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_higher_order_ops/dynamo.test_higher_order_ops-2d90bb5da6ea7ac7.xml 2025-12-04T09:47:05.2315789Z Running inductor/test_mmdecomp 1/1 ... [2025-12-04 09:47:05.230961][2187.377485815] 2025-12-04T09:47:05.2316387Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:05.2319166Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mmdecomp.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 09:47:05.231607] 2025-12-04T09:47:14.0589595Z 2025-12-04T09:47:14.0590638Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_103af2ac644714f6_.log 2025-12-04T09:47:14.0591516Z Running 0 items in this shard: 2025-12-04T09:47:14.0591728Z 2025-12-04T09:47:14.0592042Z Finished inductor/test_mmdecomp 1/1 ... [2025-12-04 09:47:14.058735][2196.20526864], took 0.15min 2025-12-04T09:47:14.0687555Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mmdecomp/inductor.test_mmdecomp-befff1754da6a120.xml 2025-12-04T09:47:14.1470051Z Running dynamo/test_ctx_manager 1/1 ... [2025-12-04 09:47:14.146580][2196.293110181] 2025-12-04T09:47:14.1470607Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:14.1473258Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_ctx_manager.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 09:47:14.146990] 2025-12-04T09:47:23.3414544Z 2025-12-04T09:47:23.3415967Z dynamo/test_ctx_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_ctx_manager_1.1_0aa7aebbf8db5205_.log 2025-12-04T09:47:23.3417556Z Running 0 items in this shard: 2025-12-04T09:47:23.3417828Z 2025-12-04T09:47:23.3418157Z Finished dynamo/test_ctx_manager 1/1 ... [2025-12-04 09:47:23.341111][2205.487636178], took 0.15min 2025-12-04T09:47:23.3518273Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_ctx_manager/dynamo.test_ctx_manager-d3fd9ac5a1996605.xml 2025-12-04T09:47:23.4131772Z Running dynamo/test_exc 1/1 ... [2025-12-04 09:47:23.412793][2205.559324908] 2025-12-04T09:47:23.4132342Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:23.4135331Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_exc.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 09:47:23.413196] 2025-12-04T09:47:27.4775813Z 2025-12-04T09:47:27.4776749Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_543e53d0629cf4e6_.log 2025-12-04T09:47:27.4777537Z Running 0 items in this shard: 2025-12-04T09:47:27.4777734Z 2025-12-04T09:47:27.4778004Z Finished dynamo/test_exc 1/1 ... [2025-12-04 09:47:27.477266][2209.623801409], took 0.07min 2025-12-04T09:47:27.4873704Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_exc/dynamo.test_exc-7a1a4eeeabcb63cb.xml 2025-12-04T09:47:27.5128271Z Running dynamo/test_misc 1/1 ... [2025-12-04 09:47:27.512512][2209.659045321] 2025-12-04T09:47:27.5128755Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:27.5131661Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_misc.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 09:47:27.512893] 2025-12-04T09:47:34.5120351Z 2025-12-04T09:47:34.5121325Z dynamo/test_misc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_misc_1.1_8f3d45643cc3ab82_.log 2025-12-04T09:47:34.5122127Z Running 0 items in this shard: 2025-12-04T09:47:34.5122338Z 2025-12-04T09:47:34.5122626Z Finished dynamo/test_misc 1/1 ... [2025-12-04 09:47:34.511779][2216.658314396], took 0.12min 2025-12-04T09:47:34.5219416Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_misc/dynamo.test_misc-01250beb0e338563.xml 2025-12-04T09:47:34.6036834Z Running inductor/test_aot_inductor_arrayref 1/2 ... [2025-12-04 09:47:34.603314][2216.749847327] 2025-12-04T09:47:34.6037416Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:34.6040751Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:47:34.603748] 2025-12-04T09:47:44.5921361Z 2025-12-04T09:47:44.5922577Z inductor/test_aot_inductor_arrayref 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_arrayref_1.2_6c91b043686e5ea9_.log 2025-12-04T09:47:44.5923554Z Running 0 items in this shard: 2025-12-04T09:47:44.5924155Z 2025-12-04T09:47:44.5924647Z Finished inductor/test_aot_inductor_arrayref 1/2 ... [2025-12-04 09:47:44.591863][2226.738395311], took 0.17min 2025-12-04T09:47:44.6024102Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-a0f9d8d604c596bb.xml 2025-12-04T09:47:44.6805564Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-12-04 09:47:44.680187][2226.826719745] 2025-12-04T09:47:44.6806132Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:44.6809360Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.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 09:47:44.680620] 2025-12-04T09:47:53.8595920Z 2025-12-04T09:47:53.8597427Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_913a9b46330085ff_.log 2025-12-04T09:47:53.8598317Z 2025-12-04T09:47:53.8598682Z Finished inductor/test_cpu_cpp_wrapper 1/1 ... [2025-12-04 09:47:53.859195][2236.00572321], took 0.15min 2025-12-04T09:47:53.8712645Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 09:47:53.870898][2236.017427396] 2025-12-04T09:47:53.8713261Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:53.8717426Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_strided_blocks.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 09:47:53.871433] 2025-12-04T09:48:02.8985847Z 2025-12-04T09:48:02.8987465Z inductor/test_torchinductor_strided_blocks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_strided_blocks_1.1_caf7ba2ec81ea5e1_.log 2025-12-04T09:48:02.8988537Z 2025-12-04T09:48:02.8989061Z Finished inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 09:48:02.898332][2245.044866559], took 0.15min 2025-12-04T09:48:02.9095174Z Running inductor/test_halide 1/1 ... [2025-12-04 09:48:02.909291][2245.0558249] 2025-12-04T09:48:02.9095676Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:02.9099722Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_halide.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 09:48:02.909719] 2025-12-04T09:48:11.9954538Z 2025-12-04T09:48:11.9955858Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_7ba2721243f1dd15_.log 2025-12-04T09:48:11.9956625Z 2025-12-04T09:48:11.9956959Z Finished inductor/test_halide 1/1 ... [2025-12-04 09:48:11.995235][2254.141762208], took 0.15min 2025-12-04T09:48:12.0071518Z Running inductor/test_pad_mm 1/1 ... [2025-12-04 09:48:12.006920][2254.153455354] 2025-12-04T09:48:12.0072179Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:12.0076311Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pad_mm.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 09:48:12.007321] 2025-12-04T09:48:20.8661670Z 2025-12-04T09:48:20.8662662Z inductor/test_pad_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pad_mm_1.1_db08ba7f7b51e001_.log 2025-12-04T09:48:20.8663389Z 2025-12-04T09:48:20.8663684Z Finished inductor/test_pad_mm 1/1 ... [2025-12-04 09:48:20.865921][2263.012454401], took 0.15min 2025-12-04T09:48:20.8772731Z Running inductor/test_triton_extension_backend 1/1 ... [2025-12-04 09:48:20.877006][2263.023540196] 2025-12-04T09:48:20.8773339Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:20.8777190Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:20.877438] 2025-12-04T09:48:30.0192075Z 2025-12-04T09:48:30.0193493Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_be02bc4108c57410_.log 2025-12-04T09:48:30.0194511Z Running 0 items in this shard: 2025-12-04T09:48:30.0194712Z 2025-12-04T09:48:30.0195146Z Finished inductor/test_triton_extension_backend 1/1 ... [2025-12-04 09:48:30.018992][2272.165526253], took 0.15min 2025-12-04T09:48:30.0303881Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_triton_extension_backend/inductor.test_triton_extension_backend-44b698a93d90870b.xml 2025-12-04T09:48:30.1022430Z Running inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:48:30.101880][2272.248411223] 2025-12-04T09:48:30.1022960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:30.1026409Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:30.102347] 2025-12-04T09:48:38.9556144Z 2025-12-04T09:48:38.9557114Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_9cd271781c68801e_.log 2025-12-04T09:48:38.9557893Z 2025-12-04T09:48:38.9558214Z Finished inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:48:38.955379][2281.101912886], took 0.15min 2025-12-04T09:48:38.9673566Z Running inductor/test_ck_backend 1/1 ... [2025-12-04 09:48:38.967131][2281.113666646] 2025-12-04T09:48:38.9674073Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:38.9677735Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_ck_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:38.967526] 2025-12-04T09:48:47.8200260Z 2025-12-04T09:48:47.8201277Z inductor/test_ck_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ck_backend_1.1_adc3a59e13e1f32b_.log 2025-12-04T09:48:47.8202050Z 2025-12-04T09:48:47.8202404Z Finished inductor/test_ck_backend 1/1 ... [2025-12-04 09:48:47.819801][2289.966328955], took 0.15min 2025-12-04T09:48:47.8312506Z Running inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 09:48:47.831015][2289.977548478] 2025-12-04T09:48:47.8313054Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:47.8317356Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_gpu_cpp_wrapper.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 09:48:47.831473] 2025-12-04T09:48:57.0248267Z 2025-12-04T09:48:57.0249541Z inductor/test_gpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_gpu_cpp_wrapper_1.1_2b0a5f1dfc7014dd_.log 2025-12-04T09:48:57.0250367Z 2025-12-04T09:48:57.0250712Z Finished inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 09:48:57.024569][2299.171101248], took 0.15min 2025-12-04T09:48:57.0359295Z Running inductor/test_autoheuristic 1/1 ... [2025-12-04 09:48:57.035630][2299.182163689] 2025-12-04T09:48:57.0359861Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:57.0363477Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_autoheuristic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:57.036054] 2025-12-04T09:49:05.8652240Z 2025-12-04T09:49:05.8653365Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_d4691f0ccc92f9b7_.log 2025-12-04T09:49:05.8654177Z 2025-12-04T09:49:05.8654531Z Finished inductor/test_autoheuristic 1/1 ... [2025-12-04 09:49:05.864974][2308.011504241], took 0.15min 2025-12-04T09:49:05.8763211Z Running inductor/test_metrics 1/1 ... [2025-12-04 09:49:05.876027][2308.022561722] 2025-12-04T09:49:05.8763817Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:05.8767640Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_metrics.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 09:49:05.876467] 2025-12-04T09:49:14.6239423Z 2025-12-04T09:49:14.6240421Z inductor/test_metrics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_metrics_1.1_9ebb509cd708fba6_.log 2025-12-04T09:49:14.6241170Z 2025-12-04T09:49:14.6241479Z Finished inductor/test_metrics 1/1 ... [2025-12-04 09:49:14.623678][2316.770211839], took 0.15min 2025-12-04T09:49:14.6348775Z Running inductor/test_selective_lowering 1/1 ... [2025-12-04 09:49:14.634630][2316.781164328] 2025-12-04T09:49:14.6349330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:14.6354079Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_selective_lowering.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 09:49:14.635147] 2025-12-04T09:49:23.3353548Z 2025-12-04T09:49:23.3354652Z inductor/test_selective_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_selective_lowering_1.1_eb99ad440fbfac6a_.log 2025-12-04T09:49:23.3355484Z 2025-12-04T09:49:23.3355850Z Finished inductor/test_selective_lowering 1/1 ... [2025-12-04 09:49:23.335132][2325.481661167], took 0.15min 2025-12-04T09:49:23.3465806Z Running inductor/test_cooperative_reductions 1/1 ... [2025-12-04 09:49:23.346331][2325.492862185] 2025-12-04T09:49:23.3466429Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:23.3471514Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:23.346855] 2025-12-04T09:49:32.2032142Z 2025-12-04T09:49:32.2033289Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_0a2855835cbb87b0_.log 2025-12-04T09:49:32.2034181Z 2025-12-04T09:49:32.2034807Z Finished inductor/test_cooperative_reductions 1/1 ... [2025-12-04 09:49:32.202902][2334.349435689], took 0.15min 2025-12-04T09:49:32.2141300Z Running inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:49:32.213903][2334.360436725] 2025-12-04T09:49:32.2141880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:32.2146028Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_move_constructors_to_gpu.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 09:49:32.214309] 2025-12-04T09:49:40.9421570Z 2025-12-04T09:49:40.9423514Z inductor/test_move_constructors_to_gpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_gpu_1.1_a2993eb577952ba6_.log 2025-12-04T09:49:40.9425170Z 2025-12-04T09:49:40.9425871Z Finished inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:49:40.941897][2343.088431658], took 0.15min 2025-12-04T09:49:40.9535068Z Running inductor/test_inplace_padding 1/1 ... [2025-12-04 09:49:40.953117][2343.099649839] 2025-12-04T09:49:40.9535959Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:40.9540578Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inplace_padding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:40.953662] 2025-12-04T09:49:50.0769998Z 2025-12-04T09:49:50.0771100Z inductor/test_inplace_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplace_padding_1.1_b6bc226b9ac6e1fb_.log 2025-12-04T09:49:50.0771905Z 2025-12-04T09:49:50.0879080Z Finished inductor/test_inplace_padding 1/1 ... [2025-12-04 09:49:50.076761][2352.223296216], took 0.15min 2025-12-04T09:49:50.0879849Z Running inductor/test_triton_wrapper 1/1 ... [2025-12-04 09:49:50.087685][2352.234219437] 2025-12-04T09:49:50.0880393Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:50.0883412Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_wrapper.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 09:49:50.088086] 2025-12-04T09:49:59.0071682Z 2025-12-04T09:49:59.0073062Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_6953a86b264c2499_.log 2025-12-04T09:49:59.0073876Z 2025-12-04T09:49:59.0074233Z Finished inductor/test_triton_wrapper 1/1 ... [2025-12-04 09:49:59.006945][2361.153478809], took 0.15min 2025-12-04T09:49:59.0185275Z Running inductor/test_quantization 1/1 ... [2025-12-04 09:49:59.018215][2361.164749989] 2025-12-04T09:49:59.0185944Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:59.0189911Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_quantization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:59.018668] 2025-12-04T09:50:07.7165396Z 2025-12-04T09:50:07.7166656Z inductor/test_quantization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_quantization_1.1_7c5c17cce2823b47_.log 2025-12-04T09:50:07.7167429Z 2025-12-04T09:50:07.7167768Z Finished inductor/test_quantization 1/1 ... [2025-12-04 09:50:07.716204][2369.86273755], took 0.14min 2025-12-04T09:50:07.7283212Z Running inductor/test_inplacing_pass 1/1 ... [2025-12-04 09:50:07.728033][2369.874564519] 2025-12-04T09:50:07.7283932Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:07.7289152Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inplacing_pass.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 09:50:07.728577] 2025-12-04T09:50:16.6117838Z 2025-12-04T09:50:16.6119492Z inductor/test_inplacing_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplacing_pass_1.1_f40b937823f0c06b_.log 2025-12-04T09:50:16.6120360Z 2025-12-04T09:50:16.6120700Z Finished inductor/test_inplacing_pass 1/1 ... [2025-12-04 09:50:16.611554][2378.758083574], took 0.15min 2025-12-04T09:50:16.6227861Z Running inductor/test_split_cat_fx_passes 1/1 ... [2025-12-04 09:50:16.622518][2378.769052127] 2025-12-04T09:50:16.6228541Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:16.6232561Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_split_cat_fx_passes.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 09:50:16.622960] 2025-12-04T09:50:25.4647253Z 2025-12-04T09:50:25.4648399Z inductor/test_split_cat_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_passes_1.1_cd8a661d00b75866_.log 2025-12-04T09:50:25.4649243Z 2025-12-04T09:50:25.4649604Z Finished inductor/test_split_cat_fx_passes 1/1 ... [2025-12-04 09:50:25.464389][2387.610921732], took 0.15min 2025-12-04T09:50:25.4755674Z Running inductor/test_memory_planning 1/1 ... [2025-12-04 09:50:25.475343][2387.62187763] 2025-12-04T09:50:25.4756218Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:25.4760107Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_memory_planning.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 09:50:25.475753] 2025-12-04T09:50:34.5747758Z 2025-12-04T09:50:34.5748999Z inductor/test_memory_planning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_planning_1.1_cb7a7d2e9b5b0d76_.log 2025-12-04T09:50:34.5749854Z 2025-12-04T09:50:34.5750202Z Finished inductor/test_memory_planning 1/1 ... [2025-12-04 09:50:34.574513][2396.721044823], took 0.15min 2025-12-04T09:50:34.5858723Z Running inductor/test_aot_inductor_utils 1/1 ... [2025-12-04 09:50:34.585605][2396.732136665] 2025-12-04T09:50:34.5859288Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:34.5863790Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_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 09:50:34.586100] 2025-12-04T09:50:43.5513898Z 2025-12-04T09:50:43.5515010Z inductor/test_aot_inductor_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_utils_1.1_a91230bad310028e_.log 2025-12-04T09:50:43.5515949Z Running 0 items in this shard: 2025-12-04T09:50:43.5516174Z 2025-12-04T09:50:43.5516521Z Finished inductor/test_aot_inductor_utils 1/1 ... [2025-12-04 09:50:43.551159][2405.69769234], took 0.15min 2025-12-04T09:50:43.5617497Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_utils/inductor.test_aot_inductor_utils-06465903c9d6fec2.xml 2025-12-04T09:50:43.6399326Z Running inductor/test_pallas 1/1 ... [2025-12-04 09:50:43.639557][2405.786087649] 2025-12-04T09:50:43.6399862Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:43.6402325Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pallas.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:50:43.639936] 2025-12-04T09:50:52.7085855Z 2025-12-04T09:50:52.7087115Z inductor/test_pallas 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pallas_1.1_18d0680c888369a6_.log 2025-12-04T09:50:52.7196584Z 2025-12-04T09:50:52.7197026Z Finished inductor/test_pallas 1/1 ... [2025-12-04 09:50:52.708351][2414.854880666], took 0.15min 2025-12-04T09:50:52.7197717Z Running inductor/test_alignment 1/1 ... [2025-12-04 09:50:52.719432][2414.865966355] 2025-12-04T09:50:52.7198246Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:52.7201393Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_alignment.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 09:50:52.719868] 2025-12-04T09:51:01.7788598Z 2025-12-04T09:51:01.7789852Z inductor/test_alignment 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_alignment_1.1_f80e9697cb8b4f62_.log 2025-12-04T09:51:01.7790651Z 2025-12-04T09:51:01.7790970Z Finished inductor/test_alignment 1/1 ... [2025-12-04 09:51:01.778614][2423.925148357], took 0.15min 2025-12-04T09:51:01.7900438Z Running inductor/test_custom_partitioner_fn 1/1 ... [2025-12-04 09:51:01.789781][2423.936315958] 2025-12-04T09:51:01.7901020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:01.7905049Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_partitioner_fn.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 09:51:01.790224] 2025-12-04T09:51:10.5875443Z 2025-12-04T09:51:10.5876616Z inductor/test_custom_partitioner_fn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_partitioner_fn_1.1_522604ab27576c81_.log 2025-12-04T09:51:10.5877520Z 2025-12-04T09:51:10.5877891Z Finished inductor/test_custom_partitioner_fn 1/1 ... [2025-12-04 09:51:10.587274][2432.733807283], took 0.15min 2025-12-04T09:51:10.5985225Z Running dynamo/test_python_dispatcher 1/1 ... [2025-12-04 09:51:10.598307][2432.744841912] 2025-12-04T09:51:10.5985753Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:10.5989604Z Executing ['/opt/conda/envs/py_3.10/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 09:51:10.598706] 2025-12-04T09:51:14.9324393Z 2025-12-04T09:51:14.9325564Z 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_16ff98b5e7aab83e_.log 2025-12-04T09:51:14.9326538Z Running 0 items in this shard: 2025-12-04T09:51:14.9326757Z 2025-12-04T09:51:14.9327096Z Finished dynamo/test_python_dispatcher 1/1 ... [2025-12-04 09:51:14.932166][2437.07869912], took 0.07min 2025-12-04T09:51:14.9430939Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_python_dispatcher/dynamo.test_python_dispatcher-633f9ac56e696d08.xml 2025-12-04T09:51:15.0244606Z Running export/test_swap 1/1 ... [2025-12-04 09:51:15.024066][2437.170597891] 2025-12-04T09:51:15.0245149Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:15.0247637Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_swap.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 09:51:15.024466] 2025-12-04T09:51:18.6633191Z 2025-12-04T09:51:18.6634458Z export/test_swap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_swap_1.1_f5a4112647ac643e_.log 2025-12-04T09:51:18.6635733Z Running 0 items in this shard: 2025-12-04T09:51:18.6635934Z 2025-12-04T09:51:18.6636224Z Finished export/test_swap 1/1 ... [2025-12-04 09:51:18.663092][2440.809624969], took 0.06min 2025-12-04T09:51:18.6741422Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_swap/export.test_swap-a0c1556c8a7e4792.xml 2025-12-04T09:51:18.7012880Z Running export/test_unflatten 1/1 ... [2025-12-04 09:51:18.700967][2440.847501032] 2025-12-04T09:51:18.7013409Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:18.7017062Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_unflatten.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 09:51:18.701392] 2025-12-04T09:51:22.3596246Z 2025-12-04T09:51:22.3597414Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_13e52cda407f0a06_.log 2025-12-04T09:51:22.3598413Z Running 0 items in this shard: 2025-12-04T09:51:22.3598723Z 2025-12-04T09:51:22.3599038Z Finished export/test_unflatten 1/1 ... [2025-12-04 09:51:22.359330][2444.505864279], took 0.06min 2025-12-04T09:51:22.3704490Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_unflatten/export.test_unflatten-4897c98038af7373.xml 2025-12-04T09:51:22.3977258Z Running dynamo/test_verify_correctness 1/1 ... [2025-12-04 09:51:22.397327][2444.543860653] 2025-12-04T09:51:22.3977826Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:22.3980884Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_verify_correctness.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 09:51:22.397758] 2025-12-04T09:51:26.4157133Z 2025-12-04T09:51:26.4158219Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_56521506d95b746b_.log 2025-12-04T09:51:26.4159159Z Running 0 items in this shard: 2025-12-04T09:51:26.4159356Z 2025-12-04T09:51:26.4159715Z Finished dynamo/test_verify_correctness 1/1 ... [2025-12-04 09:51:26.415493][2448.562026863], took 0.07min 2025-12-04T09:51:26.4267831Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_verify_correctness/dynamo.test_verify_correctness-ad8bd17466e6d048.xml 2025-12-04T09:51:26.4572086Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 09:51:26.456940][2448.60347377] 2025-12-04T09:51:26.4572613Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:26.4576228Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:51:26.457339] 2025-12-04T09:51:35.3665185Z 2025-12-04T09:51:35.3666247Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_652af1777e6aaaae_.log 2025-12-04T09:51:35.3667024Z 2025-12-04T09:51:35.3667369Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 09:51:35.366265][2457.512798164], took 0.15min 2025-12-04T09:51:35.3781542Z Running inductor/test_caching 1/1 ... [2025-12-04 09:51:35.377943][2457.524476779] 2025-12-04T09:51:35.3782057Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:35.3786322Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_caching.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 09:51:35.378350] 2025-12-04T09:51:39.3355512Z 2025-12-04T09:51:39.3356471Z inductor/test_caching 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_caching_1.1_8ae93a06e3898eb4_.log 2025-12-04T09:51:39.3357309Z Running 0 items in this shard: 2025-12-04T09:51:39.3357521Z 2025-12-04T09:51:39.3357820Z Finished inductor/test_caching 1/1 ... [2025-12-04 09:51:39.335334][2461.481869737], took 0.07min 2025-12-04T09:51:39.3465645Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_caching/inductor.test_caching-419755f2186ed942.xml 2025-12-04T09:51:39.4180930Z Running dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 09:51:39.417773][2461.564307516] 2025-12-04T09:51:39.4181535Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:39.4184651Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_aot_autograd_cache.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 09:51:39.418135] 2025-12-04T09:51:48.5294845Z 2025-12-04T09:51:48.5295945Z dynamo/test_aot_autograd_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_cache_1.1_e7f673df00ddd828_.log 2025-12-04T09:51:48.5296868Z Running 0 items in this shard: 2025-12-04T09:51:48.5297075Z 2025-12-04T09:51:48.5297413Z Finished dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 09:51:48.529275][2470.675806845], took 0.15min 2025-12-04T09:51:48.5408005Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_aot_autograd_cache/dynamo.test_aot_autograd_cache-6969858ed33fc8a3.xml 2025-12-04T09:51:48.6123023Z Running dynamo/test_flat_apply 1/1 ... [2025-12-04 09:51:48.611938][2470.758472632] 2025-12-04T09:51:48.6123572Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:48.6127402Z Executing ['/opt/conda/envs/py_3.10/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 09:51:48.612405] 2025-12-04T09:51:52.7176171Z 2025-12-04T09:51:52.7177177Z 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_c14b0164e5fc978d_.log 2025-12-04T09:51:52.7178022Z Running 0 items in this shard: 2025-12-04T09:51:52.7178247Z 2025-12-04T09:51:52.7178550Z Finished dynamo/test_flat_apply 1/1 ... [2025-12-04 09:51:52.717391][2474.86392407], took 0.07min 2025-12-04T09:51:52.7290062Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_flat_apply/dynamo.test_flat_apply-509b22966b860d37.xml 2025-12-04T09:51:52.7558030Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 09:51:52.755452][2474.901985038] 2025-12-04T09:51:52.7558603Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:52.7561618Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_input_attr_tracking.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 09:51:52.755848] 2025-12-04T09:51:56.8294402Z 2025-12-04T09:51:56.8295726Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_91a3386a97048c93_.log 2025-12-04T09:51:56.8297043Z Running 0 items in this shard: 2025-12-04T09:51:56.8297355Z 2025-12-04T09:51:56.8297716Z Finished dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 09:51:56.829208][2478.975742806], took 0.07min 2025-12-04T09:51:56.8411017Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_input_attr_tracking/dynamo.test_input_attr_tracking-6ae4b370fa0e0fbd.xml 2025-12-04T09:51:56.8661508Z Running dynamo/test_graph_deduplication 1/1 ... [2025-12-04 09:51:56.865751][2479.012284555] 2025-12-04T09:51:56.8662309Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:56.8664759Z Executing ['/opt/conda/envs/py_3.10/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 09:51:56.866152] 2025-12-04T09:52:00.9720523Z 2025-12-04T09:52:00.9722270Z 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_8d643bb936c7f018_.log 2025-12-04T09:52:00.9723228Z Running 0 items in this shard: 2025-12-04T09:52:00.9723446Z 2025-12-04T09:52:00.9723881Z Finished dynamo/test_graph_deduplication 1/1 ... [2025-12-04 09:52:00.971834][2483.11836786], took 0.07min 2025-12-04T09:52:00.9838735Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_graph_deduplication/dynamo.test_graph_deduplication-4a389b3d787ad471.xml 2025-12-04T09:52:01.0097552Z Running dynamo/test_structured_trace 1/1 ... [2025-12-04 09:52:01.009272][2483.155803785] 2025-12-04T09:52:01.0098195Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:01.0100121Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_structured_trace.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 09:52:01.009692] 2025-12-04T09:52:09.9175888Z 2025-12-04T09:52:09.9177095Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_9bb34990b2d21ce7_.log 2025-12-04T09:52:09.9178035Z Running 0 items in this shard: 2025-12-04T09:52:09.9178234Z 2025-12-04T09:52:09.9178580Z Finished dynamo/test_structured_trace 1/1 ... [2025-12-04 09:52:09.917332][2492.063866756], took 0.15min 2025-12-04T09:52:09.9294300Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_structured_trace/dynamo.test_structured_trace-d8f33eb43783cf62.xml 2025-12-04T09:52:10.0030389Z Running dynamo/test_error_messages 1/1 ... [2025-12-04 09:52:10.002510][2492.149036107] 2025-12-04T09:52:10.0030987Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:10.0035119Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_error_messages.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 09:52:10.003127] 2025-12-04T09:52:14.1668906Z 2025-12-04T09:52:14.1670020Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_dab56240772624e1_.log 2025-12-04T09:52:14.1670930Z Running 0 items in this shard: 2025-12-04T09:52:14.1671157Z 2025-12-04T09:52:14.1671486Z Finished dynamo/test_error_messages 1/1 ... [2025-12-04 09:52:14.166664][2496.31319732], took 0.07min 2025-12-04T09:52:14.1789670Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_error_messages/dynamo.test_error_messages-b1da120709ffa8ef.xml 2025-12-04T09:52:14.2038927Z Running dynamo/test_bytecode_utils 1/1 ... [2025-12-04 09:52:14.203577][2496.350110764] 2025-12-04T09:52:14.2039623Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:14.2042984Z Executing ['/opt/conda/envs/py_3.10/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 09:52:14.203983] 2025-12-04T09:52:18.2557594Z 2025-12-04T09:52:18.2558638Z 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_638f79fb37e78f4c_.log 2025-12-04T09:52:18.2559545Z Running 0 items in this shard: 2025-12-04T09:52:18.2559758Z 2025-12-04T09:52:18.2560082Z Finished dynamo/test_bytecode_utils 1/1 ... [2025-12-04 09:52:18.255568][2500.402101858], took 0.07min 2025-12-04T09:52:18.2681108Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_bytecode_utils/dynamo.test_bytecode_utils-e9896b2f77d1de6b.xml 2025-12-04T09:52:18.2952834Z Running inductor/test_mps_basic 1/1 ... [2025-12-04 09:52:18.294943][2500.441476017] 2025-12-04T09:52:18.2962682Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:18.2964190Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mps_basic.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 09:52:18.295356] 2025-12-04T09:52:27.3649146Z 2025-12-04T09:52:27.3650381Z inductor/test_mps_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mps_basic_1.1_c60aba86ef22e162_.log 2025-12-04T09:52:27.3651132Z 2025-12-04T09:52:27.3651442Z Finished inductor/test_mps_basic 1/1 ... [2025-12-04 09:52:27.364646][2509.511181633], took 0.15min 2025-12-04T09:52:27.3775659Z Running export/test_nativert 1/1 ... [2025-12-04 09:52:27.377338][2509.523874906] 2025-12-04T09:52:27.3776300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:27.3780045Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_nativert.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 09:52:27.377713] 2025-12-04T09:52:36.5753063Z 2025-12-04T09:52:36.5754063Z export/test_nativert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_nativert_1.1_680940e5dea95eee_.log 2025-12-04T09:52:36.5754908Z Running 0 items in this shard: 2025-12-04T09:52:36.5755109Z 2025-12-04T09:52:36.5755407Z Finished export/test_nativert 1/1 ... [2025-12-04 09:52:36.575085][2518.721618189], took 0.15min 2025-12-04T09:52:36.5875632Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_nativert/export.test_nativert-762570a59332fe4d.xml 2025-12-04T09:52:36.6558020Z Running dynamo/test_tree_map 1/1 ... [2025-12-04 09:52:36.655403][2518.801937236] 2025-12-04T09:52:36.6558570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:36.6561445Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_tree_map.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 09:52:36.655822] 2025-12-04T09:52:40.3674188Z 2025-12-04T09:52:40.3675152Z dynamo/test_tree_map 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_tree_map_1.1_cb155fa0d85dbb42_.log 2025-12-04T09:52:40.3675985Z Running 0 items in this shard: 2025-12-04T09:52:40.3676185Z 2025-12-04T09:52:40.3676846Z Finished dynamo/test_tree_map 1/1 ... [2025-12-04 09:52:40.367184][2522.513718435], took 0.06min 2025-12-04T09:52:40.3798439Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_tree_map/dynamo.test_tree_map-02773e3f3819ef69.xml 2025-12-04T09:52:40.4023224Z Running dynamo/test_minifier 1/1 ... [2025-12-04 09:52:40.402043][2522.548577194] 2025-12-04T09:52:40.4023752Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:40.4026949Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_minifier.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 09:52:40.402429] 2025-12-04T09:52:44.4051594Z 2025-12-04T09:52:44.4052604Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_ab6acfba60f20529_.log 2025-12-04T09:52:44.4053507Z Running 0 items in this shard: 2025-12-04T09:52:44.4053708Z 2025-12-04T09:52:44.4054010Z Finished dynamo/test_minifier 1/1 ... [2025-12-04 09:52:44.404914][2526.551447908], took 0.07min 2025-12-04T09:52:44.4178157Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_minifier/dynamo.test_minifier-542206d294c3ebba.xml 2025-12-04T09:52:44.4433967Z Running dynamo/test_guard_manager 1/1 ... [2025-12-04 09:52:44.443088][2526.589621192] 2025-12-04T09:52:44.4434504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:44.4438216Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_guard_manager.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 09:52:44.443546] 2025-12-04T09:52:48.0832835Z 2025-12-04T09:52:48.0833885Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_55c40a0ed40d2432_.log 2025-12-04T09:52:48.0835084Z Running 0 items in this shard: 2025-12-04T09:52:48.0835284Z 2025-12-04T09:52:48.0835613Z Finished dynamo/test_guard_manager 1/1 ... [2025-12-04 09:52:48.083089][2530.229621803], took 0.06min 2025-12-04T09:52:48.0959633Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_guard_manager/dynamo.test_guard_manager-fd08d694579ae8aa.xml 2025-12-04T09:52:48.1191611Z Running export/test_schema 1/1 ... [2025-12-04 09:52:48.118789][2530.265317659] 2025-12-04T09:52:48.1192155Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:48.1196391Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_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 09:52:48.119320] 2025-12-04T09:52:51.8231448Z 2025-12-04T09:52:51.8232484Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_02f0423020f5ef6a_.log 2025-12-04T09:52:51.8233307Z Running 0 items in this shard: 2025-12-04T09:52:51.8233522Z 2025-12-04T09:52:51.8233811Z Finished export/test_schema 1/1 ... [2025-12-04 09:52:51.822926][2533.969456314], took 0.06min 2025-12-04T09:52:51.8361041Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_schema/export.test_schema-8acc618bfd5ac160.xml 2025-12-04T09:52:51.8635370Z Running export/test_pass_infra 1/1 ... [2025-12-04 09:52:51.863222][2534.009754796] 2025-12-04T09:52:51.8635902Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:51.8640722Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_pass_infra.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 09:52:51.863697] 2025-12-04T09:52:55.4685324Z 2025-12-04T09:52:55.4686364Z export/test_pass_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_pass_infra_1.1_ff0abd4cbbd47fbe_.log 2025-12-04T09:52:55.4687219Z Running 0 items in this shard: 2025-12-04T09:52:55.4687431Z 2025-12-04T09:52:55.4687733Z Finished export/test_pass_infra 1/1 ... [2025-12-04 09:52:55.468307][2537.614836475], took 0.06min 2025-12-04T09:52:55.4816456Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_pass_infra/export.test_pass_infra-b314f430e4d19559.xml 2025-12-04T09:52:55.5094529Z Running dynamo/test_recompile_ux 1/1 ... [2025-12-04 09:52:55.509081][2537.655613769] 2025-12-04T09:52:55.5095039Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:55.5097997Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_recompile_ux.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 09:52:55.509523] 2025-12-04T09:52:59.5513794Z 2025-12-04T09:52:59.5514762Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_164935a92de9519d_.log 2025-12-04T09:52:59.5515633Z Running 0 items in this shard: 2025-12-04T09:52:59.5515849Z 2025-12-04T09:52:59.5516175Z Finished dynamo/test_recompile_ux 1/1 ... [2025-12-04 09:52:59.551126][2541.697660044], took 0.07min 2025-12-04T09:52:59.5641712Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompile_ux/dynamo.test_recompile_ux-05f5367b8296b6b7.xml 2025-12-04T09:52:59.5942734Z Running export/test_experimental 1/1 ... [2025-12-04 09:52:59.593967][2541.740502705] 2025-12-04T09:52:59.5943287Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:59.5945976Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_experimental.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 09:52:59.594342] 2025-12-04T09:53:03.5915918Z 2025-12-04T09:53:03.5916942Z export/test_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_experimental_1.1_2279466134104605_.log 2025-12-04T09:53:03.5917828Z Running 0 items in this shard: 2025-12-04T09:53:03.5918027Z 2025-12-04T09:53:03.5918352Z Finished export/test_experimental 1/1 ... [2025-12-04 09:53:03.591357][2545.737890202], took 0.07min 2025-12-04T09:53:03.6047627Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_experimental/export.test_experimental-6df6069c54b890df.xml 2025-12-04T09:53:03.6330872Z Running export/test_converter 1/1 ... [2025-12-04 09:53:03.632739][2545.779272813] 2025-12-04T09:53:03.6331423Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:03.6334426Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_converter.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 09:53:03.633162] 2025-12-04T09:53:07.8077555Z 2025-12-04T09:53:07.8078923Z export/test_converter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_converter_1.1_686a78999e7995cb_.log 2025-12-04T09:53:07.8079799Z Running 0 items in this shard: 2025-12-04T09:53:07.8080004Z 2025-12-04T09:53:07.8080639Z Finished export/test_converter 1/1 ... [2025-12-04 09:53:07.807567][2549.954098586], took 0.07min 2025-12-04T09:53:07.8211315Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_converter/export.test_converter-b1c9adb3fbb43a0a.xml 2025-12-04T09:53:07.8469600Z Running export/test_export 1/1 ... [2025-12-04 09:53:07.846676][2549.993210295] 2025-12-04T09:53:07.8470097Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:07.8473368Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export.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 09:53:07.847076] 2025-12-04T09:53:17.8903889Z 2025-12-04T09:53:17.8904875Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_0089f6f2540aa71e_.log 2025-12-04T09:53:17.8905701Z Running 0 items in this shard: 2025-12-04T09:53:17.8905952Z 2025-12-04T09:53:17.8906268Z Finished export/test_export 1/1 ... [2025-12-04 09:53:17.890154][2560.036687889], took 0.17min 2025-12-04T09:53:17.9037418Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export/export.test_export-60382eed3a044840.xml 2025-12-04T09:53:17.9702503Z Running test_model_exports_to_core_aten 1/1 ... [2025-12-04 09:53:17.969865][2560.116397085] 2025-12-04T09:53:17.9703056Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:17.9705649Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_model_exports_to_core_aten.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 09:53:17.970270] 2025-12-04T09:53:22.1235756Z 2025-12-04T09:53:22.1236855Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_c4726d12a42cb233_.log 2025-12-04T09:53:22.1237799Z Running 0 items in this shard: 2025-12-04T09:53:22.1238000Z 2025-12-04T09:53:22.1238349Z Finished test_model_exports_to_core_aten 1/1 ... [2025-12-04 09:53:22.123317][2564.269851446], took 0.07min 2025-12-04T09:53:22.1373967Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_model_exports_to_core_aten/test_model_exports_to_core_aten-a9e9e35d32fc1f98.xml 2025-12-04T09:53:22.1655065Z Running dynamo/test_precompile_context 1/1 ... [2025-12-04 09:53:22.165035][2564.311563357] 2025-12-04T09:53:22.1655642Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:22.1658756Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_precompile_context.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 09:53:22.165550] 2025-12-04T09:53:31.0458418Z 2025-12-04T09:53:31.0459613Z dynamo/test_precompile_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_precompile_context_1.1_1e500db9b584e0e0_.log 2025-12-04T09:53:31.0460562Z Running 0 items in this shard: 2025-12-04T09:53:31.0460762Z 2025-12-04T09:53:31.0461125Z Finished dynamo/test_precompile_context 1/1 ... [2025-12-04 09:53:31.045611][2573.192144628], took 0.15min 2025-12-04T09:53:31.0597001Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_precompile_context/dynamo.test_precompile_context-598e92f2fd0b9dc6.xml 2025-12-04T09:53:31.1397977Z Running dynamo/test_trace_rules 1/1 ... [2025-12-04 09:53:31.139403][2573.285934791] 2025-12-04T09:53:31.1398532Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:31.1401957Z Executing ['/opt/conda/envs/py_3.10/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 09:53:31.139852] 2025-12-04T09:53:34.8261664Z 2025-12-04T09:53:34.8262732Z 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_8754a2aef0836098_.log 2025-12-04T09:53:34.8263584Z Running 0 items in this shard: 2025-12-04T09:53:34.8263802Z 2025-12-04T09:53:34.8264108Z Finished dynamo/test_trace_rules 1/1 ... [2025-12-04 09:53:34.825952][2576.972483113], took 0.06min 2025-12-04T09:53:34.8402130Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_trace_rules/dynamo.test_trace_rules-bebb6d5255204778.xml 2025-12-04T09:53:34.8660590Z Running export/test_upgrader 1/1 ... [2025-12-04 09:53:34.865802][2577.012335878] 2025-12-04T09:53:34.8661149Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:34.8665178Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_upgrader.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 09:53:34.866252] 2025-12-04T09:53:38.5061797Z 2025-12-04T09:53:38.5062817Z export/test_upgrader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_upgrader_1.1_da9af754e9287839_.log 2025-12-04T09:53:38.5063657Z Running 0 items in this shard: 2025-12-04T09:53:38.5063875Z 2025-12-04T09:53:38.5064169Z Finished export/test_upgrader 1/1 ... [2025-12-04 09:53:38.505952][2580.652486149], took 0.06min 2025-12-04T09:53:38.5202015Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_upgrader/export.test_upgrader-764dd07cda502d96.xml 2025-12-04T09:53:38.5496395Z Running dynamo/test_hooks 1/1 ... [2025-12-04 09:53:38.549336][2580.695869389] 2025-12-04T09:53:38.5496881Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:38.5500284Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_hooks.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 09:53:38.549772] 2025-12-04T09:53:42.6228095Z 2025-12-04T09:53:42.6228951Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_1128c05a9bc323e2_.log 2025-12-04T09:53:42.6229757Z Running 0 items in this shard: 2025-12-04T09:53:42.6229955Z 2025-12-04T09:53:42.6230242Z Finished dynamo/test_hooks 1/1 ... [2025-12-04 09:53:42.622616][2584.769150636], took 0.07min 2025-12-04T09:53:42.6369143Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_hooks/dynamo.test_hooks-f3b30b1d752e70b5.xml 2025-12-04T09:53:42.6650578Z Running dynamo/test_reorder_logs 1/1 ... [2025-12-04 09:53:42.664743][2584.811278164] 2025-12-04T09:53:42.6651114Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:42.6653946Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_reorder_logs.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 09:53:42.665108] 2025-12-04T09:53:46.6558415Z 2025-12-04T09:53:46.6559485Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_6aeac162067b5bf9_.log 2025-12-04T09:53:46.6560344Z Running 0 items in this shard: 2025-12-04T09:53:46.6560559Z 2025-12-04T09:53:46.6561195Z Finished dynamo/test_reorder_logs 1/1 ... [2025-12-04 09:53:46.655612][2588.802146593], took 0.07min 2025-12-04T09:53:46.6701585Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_reorder_logs/dynamo.test_reorder_logs-3bb5de7fd0a30904.xml 2025-12-04T09:53:46.6958678Z Running dynamo/test_subclasses 1/1 ... [2025-12-04 09:53:46.695628][2588.842162598] 2025-12-04T09:53:46.6959183Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:46.6962853Z Executing ['/opt/conda/envs/py_3.10/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 09:53:46.696021] 2025-12-04T09:53:55.8586811Z 2025-12-04T09:53:55.8587886Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_08de7a12316c5c7f_.log 2025-12-04T09:53:55.8588815Z Running 0 items in this shard: 2025-12-04T09:53:55.8589015Z 2025-12-04T09:53:55.8589330Z Finished dynamo/test_subclasses 1/1 ... [2025-12-04 09:53:55.858387][2598.004920252], took 0.15min 2025-12-04T09:53:55.8730880Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_subclasses/dynamo.test_subclasses-aba4c691fdd6c8d7.xml 2025-12-04T09:53:55.9374794Z Running dynamo/test_exceptions 1/1 ... [2025-12-04 09:53:55.937073][2598.083606114] 2025-12-04T09:53:55.9375351Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:55.9377847Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_exceptions.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 09:53:55.937485] 2025-12-04T09:54:00.0734974Z 2025-12-04T09:54:00.0736021Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_d3f9708c6aedf932_.log 2025-12-04T09:54:00.0736889Z Running 0 items in this shard: 2025-12-04T09:54:00.0737105Z 2025-12-04T09:54:00.0737428Z Finished dynamo/test_exceptions 1/1 ... [2025-12-04 09:54:00.073279][2602.219813572], took 0.07min 2025-12-04T09:54:00.0881198Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_exceptions/dynamo.test_exceptions-b7dbf57f6087994e.xml 2025-12-04T09:54:00.1163023Z Running dynamo/test_generator 1/1 ... [2025-12-04 09:54:00.116070][2602.262603908] 2025-12-04T09:54:00.1163548Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:00.1167751Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_generator.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 09:54:00.116515] 2025-12-04T09:54:04.2628423Z 2025-12-04T09:54:04.2629394Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_afacc4d10f32718f_.log 2025-12-04T09:54:04.2630252Z Running 0 items in this shard: 2025-12-04T09:54:04.2630458Z 2025-12-04T09:54:04.2630775Z Finished dynamo/test_generator 1/1 ... [2025-12-04 09:54:04.262607][2606.409142136], took 0.07min 2025-12-04T09:54:04.2775959Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_generator/dynamo.test_generator-854dee4dcb779845.xml 2025-12-04T09:54:04.3041814Z Running export/test_lift_unlift 1/1 ... [2025-12-04 09:54:04.303911][2606.450446423] 2025-12-04T09:54:04.3042330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:04.3045634Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_lift_unlift.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 09:54:04.304269] 2025-12-04T09:54:07.8994309Z 2025-12-04T09:54:07.8995334Z export/test_lift_unlift 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_lift_unlift_1.1_a13df67baa9d0f47_.log 2025-12-04T09:54:07.8996204Z Running 0 items in this shard: 2025-12-04T09:54:07.8996409Z 2025-12-04T09:54:07.8996720Z Finished export/test_lift_unlift 1/1 ... [2025-12-04 09:54:07.899189][2610.045722168], took 0.06min 2025-12-04T09:54:07.9144421Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_lift_unlift/export.test_lift_unlift-64a1aa5ad168e653.xml 2025-12-04T09:54:07.9434531Z Running export/test_verifier 1/1 ... [2025-12-04 09:54:07.943128][2610.089663031] 2025-12-04T09:54:07.9435424Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:07.9439169Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_verifier.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 09:54:07.943584] 2025-12-04T09:54:11.6328607Z 2025-12-04T09:54:11.6329592Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_d57d7da3ffcd9e83_.log 2025-12-04T09:54:11.6330422Z Running 0 items in this shard: 2025-12-04T09:54:11.6330634Z 2025-12-04T09:54:11.6330944Z Finished export/test_verifier 1/1 ... [2025-12-04 09:54:11.632632][2613.77916466], took 0.06min 2025-12-04T09:54:11.6478517Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_verifier/export.test_verifier-7589752c285c0a60.xml 2025-12-04T09:54:11.6772743Z Running export/test_sparse 1/2 ... [2025-12-04 09:54:11.676996][2613.82352647] 2025-12-04T09:54:11.6773233Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:11.6777060Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_sparse.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:11.677436] 2025-12-04T09:54:15.8344627Z 2025-12-04T09:54:15.8345582Z export/test_sparse 1/2 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.2_a277db657a7a5471_.log 2025-12-04T09:54:15.8346407Z Running 0 items in this shard: 2025-12-04T09:54:15.8346605Z 2025-12-04T09:54:15.8346893Z Finished export/test_sparse 1/2 ... [2025-12-04 09:54:15.834181][2617.980715147], took 0.07min 2025-12-04T09:54:15.8498094Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_sparse/export.test_sparse-8b45cabd391475f1.xml 2025-12-04T09:54:15.8732991Z Running dynamo/test_python_autograd 1/1 ... [2025-12-04 09:54:15.872931][2618.019463635] 2025-12-04T09:54:15.8733554Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:15.8736420Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_python_autograd.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 09:54:15.873351] 2025-12-04T09:54:19.8674917Z 2025-12-04T09:54:19.8675981Z dynamo/test_python_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_autograd_1.1_39e68684bd2f48c6_.log 2025-12-04T09:54:19.8676866Z Running 0 items in this shard: 2025-12-04T09:54:19.8677082Z 2025-12-04T09:54:19.8677415Z Finished dynamo/test_python_autograd 1/1 ... [2025-12-04 09:54:19.867240][2622.013773243], took 0.07min 2025-12-04T09:54:19.8831590Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_python_autograd/dynamo.test_python_autograd-2c41a86e758289a5.xml 2025-12-04T09:54:19.9066547Z Running export/test_draft_export 1/1 ... [2025-12-04 09:54:19.906333][2622.052858422] 2025-12-04T09:54:19.9067185Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:19.9072441Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_draft_export.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 09:54:19.906906] 2025-12-04T09:54:23.9722542Z 2025-12-04T09:54:23.9723645Z export/test_draft_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_draft_export_1.1_98610b0a92fc1ab2_.log 2025-12-04T09:54:23.9724837Z Running 0 items in this shard: 2025-12-04T09:54:23.9725063Z 2025-12-04T09:54:23.9725492Z Finished export/test_draft_export 1/1 ... [2025-12-04 09:54:23.972018][2626.118552392], took 0.07min 2025-12-04T09:54:23.9876947Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_draft_export/export.test_draft_export-0aaf312565c15619.xml 2025-12-04T09:54:24.0147091Z Running dynamo/test_comptime 1/1 ... [2025-12-04 09:54:24.014459][2626.160992821] 2025-12-04T09:54:24.0147629Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:24.0151070Z Executing ['/opt/conda/envs/py_3.10/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 09:54:24.014859] 2025-12-04T09:54:28.0737931Z 2025-12-04T09:54:28.0739033Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_47ebb80fc0cfbafa_.log 2025-12-04T09:54:28.0740023Z Running 0 items in this shard: 2025-12-04T09:54:28.0740345Z 2025-12-04T09:54:28.0740645Z Finished dynamo/test_comptime 1/1 ... [2025-12-04 09:54:28.073576][2630.220109579], took 0.07min 2025-12-04T09:54:28.0896767Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_comptime/dynamo.test_comptime-5733d96e1f2c5e38.xml 2025-12-04T09:54:28.1198169Z Running functorch/test_rearrange 1/1 ... [2025-12-04 09:54:28.119466][2630.265998534] 2025-12-04T09:54:28.1198713Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:28.1202292Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_rearrange.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 09:54:28.119898] 2025-12-04T09:54:31.7523466Z 2025-12-04T09:54:31.7524482Z functorch/test_rearrange 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_rearrange_1.1_752bbe8816519d0e_.log 2025-12-04T09:54:31.7525374Z Running 0 items in this shard: 2025-12-04T09:54:31.7525577Z 2025-12-04T09:54:31.7525897Z Finished functorch/test_rearrange 1/1 ... [2025-12-04 09:54:31.752097][2633.898631273], took 0.06min 2025-12-04T09:54:31.7683209Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_rearrange/functorch.test_rearrange-93232cb77b746e3c.xml 2025-12-04T09:54:31.7957843Z Running functorch/test_parsing 1/1 ... [2025-12-04 09:54:31.795506][2633.942039811] 2025-12-04T09:54:31.7958373Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:31.7962234Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_parsing.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 09:54:31.795908] 2025-12-04T09:54:35.4010642Z 2025-12-04T09:54:35.4011796Z functorch/test_parsing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_parsing_1.1_d32fd23cbc18da9d_.log 2025-12-04T09:54:35.4012790Z Running 0 items in this shard: 2025-12-04T09:54:35.4012992Z 2025-12-04T09:54:35.4013426Z Finished functorch/test_parsing 1/1 ... [2025-12-04 09:54:35.400798][2637.547331701], took 0.06min 2025-12-04T09:54:35.4171734Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_parsing/functorch.test_parsing-223e8b5475f28421.xml 2025-12-04T09:54:35.4428644Z Running test_package 1/1 ... [2025-12-04 09:54:35.442579][2637.589112175] 2025-12-04T09:54:35.4429218Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:35.4433077Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_package.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 09:54:35.443012] 2025-12-04T09:54:39.7083645Z 2025-12-04T09:54:39.7084735Z test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_package_1.1_463afb5b6ae2ed22_.log 2025-12-04T09:54:39.7085597Z Running 0 items in this shard: 2025-12-04T09:54:39.7085927Z 2025-12-04T09:54:39.7086182Z Finished test_package 1/1 ... [2025-12-04 09:54:39.708161][2641.854692387], took 0.07min 2025-12-04T09:54:39.7246373Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_package/test_package-6aa69b09139f2dec.xml 2025-12-04T09:54:39.7492500Z Running profiler/test_profiler 1/1 ... [2025-12-04 09:54:39.748914][2641.895448228] 2025-12-04T09:54:39.7493161Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:39.7495954Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/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 09:54:39.749304] 2025-12-04T09:54:43.9779441Z 2025-12-04T09:54:43.9780548Z profiler/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_1.1_e32ec203a92b8854_.log 2025-12-04T09:54:43.9781547Z Running 0 items in this shard: 2025-12-04T09:54:43.9781852Z 2025-12-04T09:54:43.9782176Z Finished profiler/test_profiler 1/1 ... [2025-12-04 09:54:43.977722][2646.124256688], took 0.07min 2025-12-04T09:54:43.9941653Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_profiler/profiler.test_profiler-60a46e3ccefbdbd1.xml 2025-12-04T09:54:44.0209583Z Running test_mkl_verbose 1/1 ... [2025-12-04 09:54:44.020633][2646.167166564] 2025-12-04T09:54:44.0210102Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:44.0213832Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkl_verbose.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 09:54:44.021076] 2025-12-04T09:54:47.6482358Z 2025-12-04T09:54:47.6483304Z test_mkl_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkl_verbose_1.1_a15e5dc0df63e30e_.log 2025-12-04T09:54:47.6484160Z Running 0 items in this shard: 2025-12-04T09:54:47.6484358Z 2025-12-04T09:54:47.6484619Z Finished test_mkl_verbose 1/1 ... [2025-12-04 09:54:47.648050][2649.794582], took 0.06min 2025-12-04T09:54:47.6648404Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkl_verbose/test_mkl_verbose-02bca70293700713.xml 2025-12-04T09:54:47.6917239Z Running test_comparison_utils 1/1 ... [2025-12-04 09:54:47.691439][2649.83797355] 2025-12-04T09:54:47.6917765Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:47.6921914Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_comparison_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 09:54:47.691887] 2025-12-04T09:54:51.2690473Z 2025-12-04T09:54:51.2691580Z test_comparison_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_comparison_utils_1.1_31220479140ecd97_.log 2025-12-04T09:54:51.2692525Z Running 0 items in this shard: 2025-12-04T09:54:51.2692839Z 2025-12-04T09:54:51.2693166Z Finished test_comparison_utils 1/1 ... [2025-12-04 09:54:51.268836][2653.415369127], took 0.06min 2025-12-04T09:54:51.2857222Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_comparison_utils/test_comparison_utils-e87c1879cc715ff6.xml 2025-12-04T09:54:51.3340381Z Running functorch/test_ac_logging 1/1 ... [2025-12-04 09:54:51.333661][2653.480192231] 2025-12-04T09:54:51.3340911Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:51.3344503Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ac_logging.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 09:54:51.334139] 2025-12-04T09:54:54.9999175Z 2025-12-04T09:54:55.0000415Z functorch/test_ac_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_logging_1.1_79a90ca1524a0e00_.log 2025-12-04T09:54:55.0001360Z Running 0 items in this shard: 2025-12-04T09:54:55.0001580Z 2025-12-04T09:54:55.0001899Z Finished functorch/test_ac_logging 1/1 ... [2025-12-04 09:54:54.999742][2657.146273735], took 0.06min 2025-12-04T09:54:55.0170317Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ac_logging/functorch.test_ac_logging-6441efb87fde1025.xml 2025-12-04T09:54:55.0450665Z Running test_mkldnn_verbose 1/1 ... [2025-12-04 09:54:55.044757][2657.191289895] 2025-12-04T09:54:55.0451167Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:55.0454963Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkldnn_verbose.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 09:54:55.045206] 2025-12-04T09:54:58.6702767Z 2025-12-04T09:54:58.6703765Z test_mkldnn_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_verbose_1.1_4fb74c101d5ddd45_.log 2025-12-04T09:54:58.6704612Z Running 0 items in this shard: 2025-12-04T09:54:58.6704811Z 2025-12-04T09:54:58.6705096Z Finished test_mkldnn_verbose 1/1 ... [2025-12-04 09:54:58.670064][2660.816597061], took 0.06min 2025-12-04T09:54:58.6869149Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkldnn_verbose/test_mkldnn_verbose-6ad7407a6c94cecc.xml 2025-12-04T09:54:58.7129918Z Running test_utils_config_module 1/1 ... [2025-12-04 09:54:58.712735][2660.859269084] 2025-12-04T09:54:58.7130454Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:58.7134280Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_utils_config_module.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 09:54:58.713141] 2025-12-04T09:55:02.3325774Z 2025-12-04T09:55:02.3326779Z test_utils_config_module 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_config_module_1.1_d0040d73805644d9_.log 2025-12-04T09:55:02.3327637Z Running 0 items in this shard: 2025-12-04T09:55:02.3327861Z 2025-12-04T09:55:02.3328167Z Finished test_utils_config_module 1/1 ... [2025-12-04 09:55:02.332341][2664.478874896], took 0.06min 2025-12-04T09:55:02.3496076Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils_config_module/test_utils_config_module-71b4c4b671bd20db.xml 2025-12-04T09:55:02.3811378Z Running test_hop_infra 1/1 ... [2025-12-04 09:55:02.380887][2664.527420711] 2025-12-04T09:55:02.3811838Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:02.3815865Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_hop_infra.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 09:55:02.381308] 2025-12-04T09:55:06.9872482Z 2025-12-04T09:55:06.9873440Z test_hop_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hop_infra_1.1_86dfa799f0b1f135_.log 2025-12-04T09:55:06.9874204Z Running 0 items in this shard: 2025-12-04T09:55:06.9874429Z 2025-12-04T09:55:06.9874691Z Finished test_hop_infra 1/1 ... [2025-12-04 09:55:06.987055][2669.13358792], took 0.08min 2025-12-04T09:55:07.0042842Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_hop_infra/test_hop_infra-02644e522321129b.xml 2025-12-04T09:55:07.0284018Z Running test_appending_byte_serializer 1/1 ... [2025-12-04 09:55:07.028097][2669.174631054] 2025-12-04T09:55:07.0284561Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:07.0288379Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_appending_byte_serializer.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 09:55:07.028535] 2025-12-04T09:55:10.6964509Z 2025-12-04T09:55:10.6965571Z test_appending_byte_serializer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_appending_byte_serializer_1.1_645056d0adf88b9b_.log 2025-12-04T09:55:10.6966508Z Running 0 items in this shard: 2025-12-04T09:55:10.6966717Z 2025-12-04T09:55:10.6967074Z Finished test_appending_byte_serializer 1/1 ... [2025-12-04 09:55:10.696244][2672.842768962], took 0.06min 2025-12-04T09:55:10.7136500Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_appending_byte_serializer/test_appending_byte_serializer-b93c2f0b0ee44669.xml 2025-12-04T09:55:10.7377063Z Running test_license 1/1 ... [2025-12-04 09:55:10.737412][2672.883944738] 2025-12-04T09:55:10.7377614Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:10.7381565Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_license.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 09:55:10.737877] 2025-12-04T09:55:14.3073032Z 2025-12-04T09:55:14.3074395Z test_license 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_license_1.1_729aa17e4f119b70_.log 2025-12-04T09:55:14.3075194Z Running 0 items in this shard: 2025-12-04T09:55:14.3075397Z 2025-12-04T09:55:14.3075652Z Finished test_license 1/1 ... [2025-12-04 09:55:14.306950][2676.453477284], took 0.06min 2025-12-04T09:55:14.3257238Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_license/test_license-264500ced14db4a2.xml 2025-12-04T09:55:14.3523234Z Running test_ao_sparsity 1/1 ... [2025-12-04 09:55:14.351896][2676.498421512] 2025-12-04T09:55:14.3523811Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:14.3528123Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ao_sparsity.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 09:55:14.352484] 2025-12-04T09:55:18.7544825Z 2025-12-04T09:55:18.7545775Z test_ao_sparsity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ao_sparsity_1.1_bbcca2dd6c9169c5_.log 2025-12-04T09:55:18.7546558Z Running 0 items in this shard: 2025-12-04T09:55:18.7546756Z 2025-12-04T09:55:18.7547073Z Finished test_ao_sparsity 1/1 ... [2025-12-04 09:55:18.754298][2680.900829936], took 0.07min 2025-12-04T09:55:18.7720293Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ao_sparsity/test_ao_sparsity-cb51e27cfedbd8b4.xml 2025-12-04T09:55:18.7945416Z Running test_autoload 1/1 ... [2025-12-04 09:55:18.794239][2680.94077158] 2025-12-04T09:55:18.7945891Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:18.7949910Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_autoload.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 09:55:18.794708] 2025-12-04T09:55:22.4970571Z 2025-12-04T09:55:22.4971500Z test_autoload 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autoload_1.1_3576ffb2881b7c34_.log 2025-12-04T09:55:22.4972280Z Running 0 items in this shard: 2025-12-04T09:55:22.4972481Z 2025-12-04T09:55:22.4972753Z Finished test_autoload 1/1 ... [2025-12-04 09:55:22.496835][2684.64336537], took 0.06min 2025-12-04T09:55:22.5146930Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autoload/test_autoload-9c09401cfeb1c78c.xml 2025-12-04T09:55:22.5438475Z Running nn/attention/test_open_registry 1/1 ... [2025-12-04 09:55:22.543557][2684.690089714] 2025-12-04T09:55:22.5439042Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:22.5442859Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/attention/test_open_registry.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 09:55:22.543998] 2025-12-04T09:55:26.1167296Z 2025-12-04T09:55:26.1168440Z nn/attention/test_open_registry 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.attention.test_open_registry_1.1_781ee14a1649f380_.log 2025-12-04T09:55:26.1169408Z Running 0 items in this shard: 2025-12-04T09:55:26.1169639Z 2025-12-04T09:55:26.1170035Z Finished nn/attention/test_open_registry 1/1 ... [2025-12-04 09:55:26.116529][2688.263058976], took 0.06min 2025-12-04T09:55:26.1346264Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.attention.test_open_registry/nn.attention.test_open_registry-0d3d014497c836f1.xml 2025-12-04T09:55:26.1664544Z Running xpu/test_fusion 1/1 ... [2025-12-04 09:55:26.166151][2688.312683696] 2025-12-04T09:55:26.1665024Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:26.1668933Z Executing ['/opt/conda/envs/py_3.10/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 09:55:26.166615] 2025-12-04T09:55:30.1611266Z 2025-12-04T09:55:30.1612590Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_14be6d782f819833_.log 2025-12-04T09:55:30.1613528Z Running 0 items in this shard: 2025-12-04T09:55:30.1613743Z 2025-12-04T09:55:30.1614021Z Finished xpu/test_fusion 1/1 ... [2025-12-04 09:55:30.160885][2692.307418863], took 0.07min 2025-12-04T09:55:30.1793578Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-201e05927c9d762f.xml 2025-12-04T09:55:30.2085761Z Running test_as_strided 1/1 ... [2025-12-04 09:55:30.208208][2692.354740152] 2025-12-04T09:55:30.2086238Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:30.2089896Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_as_strided.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 09:55:30.208683] 2025-12-04T09:55:33.8893843Z 2025-12-04T09:55:33.8894811Z test_as_strided 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_as_strided_1.1_3642f214a36ce678_.log 2025-12-04T09:55:33.8895593Z Running 0 items in this shard: 2025-12-04T09:55:33.8895788Z 2025-12-04T09:55:33.8896066Z Finished test_as_strided 1/1 ... [2025-12-04 09:55:33.889153][2696.035687994], took 0.06min 2025-12-04T09:55:33.9072539Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_as_strided/test_as_strided-c9eb4c3b193a1c3d.xml 2025-12-04T09:55:33.9329543Z Running test_proxy_tensor 1/1 ... [2025-12-04 09:55:33.932608][2696.07914124] 2025-12-04T09:55:33.9330036Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:33.9332798Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_proxy_tensor.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 09:55:33.933008] 2025-12-04T09:55:40.2001023Z 2025-12-04T09:55:40.2001983Z test_proxy_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_proxy_tensor_1.1_1ccfa339a6ac2523_.log 2025-12-04T09:55:40.2002790Z Running 0 items in this shard: 2025-12-04T09:55:40.2003003Z 2025-12-04T09:55:40.2003292Z Finished test_proxy_tensor 1/1 ... [2025-12-04 09:55:40.199868][2702.346401799], took 0.10min 2025-12-04T09:55:40.2184746Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_proxy_tensor/test_proxy_tensor-86a3ed18a848e1a1.xml 2025-12-04T09:55:40.2975231Z Running torch_np/test_binary_ufuncs 1/1 ... [2025-12-04 09:55:40.297131][2702.443662935] 2025-12-04T09:55:40.2975793Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:40.2979013Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_binary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:40.297568] 2025-12-04T09:55:44.0564244Z 2025-12-04T09:55:44.0565465Z torch_np/test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_binary_ufuncs_1.1_8977d900158a48d5_.log 2025-12-04T09:55:44.0566371Z Running 0 items in this shard: 2025-12-04T09:55:44.0566572Z 2025-12-04T09:55:44.0566906Z Finished torch_np/test_binary_ufuncs 1/1 ... [2025-12-04 09:55:44.056200][2706.202730965], took 0.06min 2025-12-04T09:55:44.0748752Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_binary_ufuncs/torch_np.test_binary_ufuncs-5ff393e73821cc1c.xml 2025-12-04T09:55:44.1018216Z Running torch_np/test_unary_ufuncs 1/1 ... [2025-12-04 09:55:44.101472][2706.248005262] 2025-12-04T09:55:44.1018744Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:44.1021629Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_unary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:44.101878] 2025-12-04T09:55:47.8274981Z 2025-12-04T09:55:47.8276443Z torch_np/test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_unary_ufuncs_1.1_08e60d2ea9af71c5_.log 2025-12-04T09:55:47.8277361Z Running 0 items in this shard: 2025-12-04T09:55:47.8277587Z 2025-12-04T09:55:47.8277912Z Finished torch_np/test_unary_ufuncs 1/1 ... [2025-12-04 09:55:47.827124][2709.973653256], took 0.06min 2025-12-04T09:55:47.8470321Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_unary_ufuncs/torch_np.test_unary_ufuncs-b4944ef44cd378d9.xml 2025-12-04T09:55:47.8773646Z Running test_utils_filelock 1/1 ... [2025-12-04 09:55:47.876977][2710.023505215] 2025-12-04T09:55:47.8774162Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:47.8778345Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_utils_filelock.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 09:55:47.877531] 2025-12-04T09:55:51.5040339Z 2025-12-04T09:55:51.5041340Z test_utils_filelock 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_filelock_1.1_8e9e83ed0d1dea71_.log 2025-12-04T09:55:51.5042723Z Running 0 items in this shard: 2025-12-04T09:55:51.5042980Z 2025-12-04T09:55:51.5043279Z Finished test_utils_filelock 1/1 ... [2025-12-04 09:55:51.503804][2713.65033502], took 0.06min 2025-12-04T09:55:51.5226456Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils_filelock/test_utils_filelock-12bc92d43d6c87f7.xml 2025-12-04T09:55:51.5523677Z Running test_rename_privateuse1_to_existing_device 1/1 ... [2025-12-04 09:55:51.551996][2713.698524838] 2025-12-04T09:55:51.5524411Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:51.5529676Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_rename_privateuse1_to_existing_device.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 09:55:51.552583] 2025-12-04T09:55:55.1820758Z 2025-12-04T09:55:55.1821909Z test_rename_privateuse1_to_existing_device 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_rename_privateuse1_to_existing_device_1.1_ee88cff7bc4cd8d8_.log 2025-12-04T09:55:55.1822940Z Running 0 items in this shard: 2025-12-04T09:55:55.1823175Z 2025-12-04T09:55:55.1823591Z Finished test_rename_privateuse1_to_existing_device 1/1 ... [2025-12-04 09:55:55.181806][2717.328339953], took 0.06min 2025-12-04T09:55:55.2008218Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_rename_privateuse1_to_existing_device/test_rename_privateuse1_to_existing_device-9577b804fa5e74e6.xml 2025-12-04T09:55:55.2291900Z Running nn/attention/test_fa4 1/1 ... [2025-12-04 09:55:55.228903][2717.37543691] 2025-12-04T09:55:55.2292412Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:55.2296242Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/attention/test_fa4.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:55.229341] 2025-12-04T09:55:59.3046060Z 2025-12-04T09:55:59.3047411Z nn/attention/test_fa4 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.attention.test_fa4_1.1_ec909779f529ee5c_.log 2025-12-04T09:55:59.3048440Z Running 0 items in this shard: 2025-12-04T09:55:59.3048650Z 2025-12-04T09:55:59.3048962Z Finished nn/attention/test_fa4 1/1 ... [2025-12-04 09:55:59.304398][2721.450928248], took 0.07min 2025-12-04T09:55:59.3233803Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-d5a22bb3f6c7c4a9.xml 2025-12-04T09:55:59.3504595Z Running typing/test_python_operators 1/1 ... [2025-12-04 09:55:59.350116][2721.496650369] 2025-12-04T09:55:59.3505146Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:59.3508565Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'typing/test_python_operators.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 09:55:59.350556] 2025-12-04T09:56:03.6244974Z 2025-12-04T09:56:03.6246062Z typing/test_python_operators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/typing.test_python_operators_1.1_a9323ec57adfd1d8_.log 2025-12-04T09:56:03.6246989Z Running 0 items in this shard: 2025-12-04T09:56:03.6247189Z 2025-12-04T09:56:03.6247524Z Finished typing/test_python_operators 1/1 ... [2025-12-04 09:56:03.624272][2725.770806083], took 0.07min 2025-12-04T09:56:03.6435170Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/typing.test_python_operators/typing.test_python_operators-8a53de6d98a91267.xml 2025-12-04T09:56:03.6703662Z Running test_functionalization 1/1 ... [2025-12-04 09:56:03.670048][2725.816581037] 2025-12-04T09:56:03.6704187Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:03.6707970Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functionalization.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 09:56:03.670497] 2025-12-04T09:56:07.4787978Z 2025-12-04T09:56:07.4789582Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_bf8c6694b2b95a62_.log 2025-12-04T09:56:07.4790990Z Running 0 items in this shard: 2025-12-04T09:56:07.4791318Z 2025-12-04T09:56:07.4791824Z Finished test_functionalization 1/1 ... [2025-12-04 09:56:07.478567][2729.625099772], took 0.06min 2025-12-04T09:56:07.4979499Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization/test_functionalization-b0cfb63b82b79d8a.xml 2025-12-04T09:56:07.5266980Z Running torch_np/test_dtype 1/1 ... [2025-12-04 09:56:07.526350][2729.672883052] 2025-12-04T09:56:07.5267486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:07.5271141Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_dtype.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 09:56:07.526812] 2025-12-04T09:56:11.2926793Z 2025-12-04T09:56:11.2927787Z torch_np/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_dtype_1.1_9e4a27940bed975e_.log 2025-12-04T09:56:11.2928591Z Running 0 items in this shard: 2025-12-04T09:56:11.2928810Z 2025-12-04T09:56:11.2929107Z Finished torch_np/test_dtype 1/1 ... [2025-12-04 09:56:11.292440][2733.438973165], took 0.06min 2025-12-04T09:56:11.3118609Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_dtype/torch_np.test_dtype-229fb15f72d4af38.xml 2025-12-04T09:56:11.3357244Z Running test_file_check 1/1 ... [2025-12-04 09:56:11.335403][2733.481937378] 2025-12-04T09:56:11.3357883Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:11.3360893Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_file_check.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 09:56:11.335816] 2025-12-04T09:56:15.0445294Z 2025-12-04T09:56:15.0446418Z test_file_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_file_check_1.1_760e48ae2e207131_.log 2025-12-04T09:56:15.0447193Z Running 0 items in this shard: 2025-12-04T09:56:15.0447396Z 2025-12-04T09:56:15.0447675Z Finished test_file_check 1/1 ... [2025-12-04 09:56:15.044248][2737.19078102], took 0.06min 2025-12-04T09:56:15.0638492Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_file_check/test_file_check-ab9ff4adf3f9f924.xml 2025-12-04T09:56:15.0961886Z Running profiler/test_kineto 1/1 ... [2025-12-04 09:56:15.095895][2737.242427912] 2025-12-04T09:56:15.0962408Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:15.0966389Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_kineto.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 09:56:15.096344] 2025-12-04T09:56:18.6962680Z 2025-12-04T09:56:18.6963641Z profiler/test_kineto 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_kineto_1.1_318b7767d7f50c3e_.log 2025-12-04T09:56:18.6964520Z Running 0 items in this shard: 2025-12-04T09:56:18.6964737Z 2025-12-04T09:56:18.6965033Z Finished profiler/test_kineto 1/1 ... [2025-12-04 09:56:18.696080][2740.842606236], took 0.06min 2025-12-04T09:56:18.7156718Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_kineto/profiler.test_kineto-18c249686dfba049.xml 2025-12-04T09:56:18.7429200Z Running test_flop_counter 1/1 ... [2025-12-04 09:56:18.742684][2740.889220062] 2025-12-04T09:56:18.7429685Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:18.7433867Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_flop_counter.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 09:56:18.743103] 2025-12-04T09:56:22.9529180Z 2025-12-04T09:56:22.9530118Z test_flop_counter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_flop_counter_1.1_f1a197b5f3e9b440_.log 2025-12-04T09:56:22.9530941Z Running 0 items in this shard: 2025-12-04T09:56:22.9531155Z 2025-12-04T09:56:22.9531486Z Finished test_flop_counter 1/1 ... [2025-12-04 09:56:22.952702][2745.099234565], took 0.07min 2025-12-04T09:56:22.9723657Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_flop_counter/test_flop_counter-ac0d9a95c58071b3.xml 2025-12-04T09:56:22.9980189Z Running backends/xeon/test_launch 1/1 ... [2025-12-04 09:56:22.997764][2745.144297519] 2025-12-04T09:56:22.9980720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:22.9985094Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'backends/xeon/test_launch.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 09:56:22.998200] 2025-12-04T09:56:26.7138548Z 2025-12-04T09:56:26.7139663Z backends/xeon/test_launch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/backends.xeon.test_launch_1.1_3d5e1e3bc67be88a_.log 2025-12-04T09:56:26.7141126Z Running 0 items in this shard: 2025-12-04T09:56:26.7141339Z 2025-12-04T09:56:26.7141674Z Finished backends/xeon/test_launch 1/1 ... [2025-12-04 09:56:26.713556][2748.860087684], took 0.06min 2025-12-04T09:56:26.7337737Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/backends.xeon.test_launch/backends.xeon.test_launch-3d1bae8fda8ad606.xml 2025-12-04T09:56:26.7605831Z Running test_openmp 1/1 ... [2025-12-04 09:56:26.760288][2748.906820937] 2025-12-04T09:56:26.7606293Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:26.7610539Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_openmp.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 09:56:26.760754] 2025-12-04T09:56:30.3951261Z 2025-12-04T09:56:30.3952232Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_e9bf46ecdeb75c1e_.log 2025-12-04T09:56:30.3952989Z Running 0 items in this shard: 2025-12-04T09:56:30.3953191Z 2025-12-04T09:56:30.3953456Z Finished test_openmp 1/1 ... [2025-12-04 09:56:30.394841][2752.541374044], took 0.06min 2025-12-04T09:56:30.4148131Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_openmp/test_openmp-231933e98e7f0b1f.xml 2025-12-04T09:56:30.4431798Z Running test_module_tracker 1/1 ... [2025-12-04 09:56:30.442938][2752.589471605] 2025-12-04T09:56:30.4432309Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:30.4437593Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_module_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 09:56:30.443360] 2025-12-04T09:56:34.0286243Z 2025-12-04T09:56:34.0287153Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_255040946c7bcf18_.log 2025-12-04T09:56:34.0287969Z Running 0 items in this shard: 2025-12-04T09:56:34.0288168Z 2025-12-04T09:56:34.0288454Z Finished test_module_tracker 1/1 ... [2025-12-04 09:56:34.028327][2756.174860625], took 0.06min 2025-12-04T09:56:34.0486841Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_module_tracker/test_module_tracker-4174dfb2769ed10a.xml 2025-12-04T09:56:34.0744010Z Running torch_np/numpy_tests/core/test_scalarinherit 1/1 ... [2025-12-04 09:56:34.074064][2756.2205985] 2025-12-04T09:56:34.0744638Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:34.0747730Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarinherit.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 09:56:34.074497] 2025-12-04T09:56:37.7912671Z 2025-12-04T09:56:37.7914074Z torch_np/numpy_tests/core/test_scalarinherit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarinherit_1.1_bea7530f81909ebb_.log 2025-12-04T09:56:37.7915198Z Running 0 items in this shard: 2025-12-04T09:56:37.7915408Z 2025-12-04T09:56:37.8127959Z Finished torch_np/numpy_tests/core/test_scalarinherit 1/1 ... [2025-12-04 09:56:37.790898][2759.937426156], took 0.06min 2025-12-04T09:56:37.8129439Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalarinherit/torch_np.numpy_tests.core.test_scalarinherit-8df4564797f3f543.xml 2025-12-04T09:56:37.8433120Z Running test_tensorexpr_pybind 1/1 ... [2025-12-04 09:56:37.843011][2759.989543874] 2025-12-04T09:56:37.8434154Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:37.8437767Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorexpr_pybind.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 09:56:37.843441] 2025-12-04T09:56:41.5417956Z 2025-12-04T09:56:41.5418992Z test_tensorexpr_pybind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_pybind_1.1_0fed286fb19fcfcc_.log 2025-12-04T09:56:41.5419846Z Running 0 items in this shard: 2025-12-04T09:56:41.5420049Z 2025-12-04T09:56:41.5420357Z Finished test_tensorexpr_pybind 1/1 ... [2025-12-04 09:56:41.541549][2763.688082614], took 0.06min 2025-12-04T09:56:41.5623287Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr_pybind/test_tensorexpr_pybind-3e3ebe0147d2c354.xml 2025-12-04T09:56:41.5897635Z Running test_fx_experimental 1/1 ... [2025-12-04 09:56:41.589392][2763.735924385] 2025-12-04T09:56:41.5898145Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:41.5900783Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_experimental.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 09:56:41.589800] 2025-12-04T09:56:47.2239222Z 2025-12-04T09:56:47.2240254Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_0c64e6236ac8271a_.log 2025-12-04T09:56:47.2241077Z Running 0 items in this shard: 2025-12-04T09:56:47.2241292Z 2025-12-04T09:56:47.2241594Z Finished test_fx_experimental 1/1 ... [2025-12-04 09:56:47.223674][2769.370207233], took 0.09min 2025-12-04T09:56:47.2446512Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_experimental/test_fx_experimental-287d4f41d2d2030a.xml 2025-12-04T09:56:47.2727462Z Running functorch/test_ac_knapsack 1/1 ... [2025-12-04 09:56:47.272453][2769.418985673] 2025-12-04T09:56:47.2728017Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:47.2731678Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ac_knapsack.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 09:56:47.272895] 2025-12-04T09:56:50.9918279Z 2025-12-04T09:56:50.9919280Z functorch/test_ac_knapsack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_knapsack_1.1_c2acb0c85bb7e7d4_.log 2025-12-04T09:56:50.9920177Z Running 0 items in this shard: 2025-12-04T09:56:50.9920399Z 2025-12-04T09:56:50.9920755Z Finished functorch/test_ac_knapsack 1/1 ... [2025-12-04 09:56:50.991572][2773.138107049], took 0.06min 2025-12-04T09:56:51.0122828Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ac_knapsack/functorch.test_ac_knapsack-4cc700224bf675fc.xml 2025-12-04T09:56:51.0453761Z Running torch_np/test_nep50_examples 1/1 ... [2025-12-04 09:56:51.045134][2773.191669929] 2025-12-04T09:56:51.0454310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:51.0457721Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_nep50_examples.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 09:56:51.045506] 2025-12-04T09:56:58.0805085Z 2025-12-04T09:56:58.0806464Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_030e6faef86a92c2_.log 2025-12-04T09:56:58.0807539Z Running 0 items in this shard: 2025-12-04T09:56:58.0807749Z 2025-12-04T09:56:58.0808091Z Finished torch_np/test_nep50_examples 1/1 ... [2025-12-04 09:56:58.080258][2780.22679219], took 0.12min 2025-12-04T09:56:58.1015957Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_nep50_examples/torch_np.test_nep50_examples-7d87fd1fab32908d.xml 2025-12-04T09:56:58.1763931Z Running xpu/test_gemm 1/1 ... [2025-12-04 09:56:58.175982][2780.322514642] 2025-12-04T09:56:58.1764456Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:58.1767623Z Executing ['/opt/conda/envs/py_3.10/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 09:56:58.176459] 2025-12-04T09:57:02.5960220Z 2025-12-04T09:57:02.5961151Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_ff03fc06f67fd941_.log 2025-12-04T09:57:02.5961899Z Running 0 items in this shard: 2025-12-04T09:57:02.5962113Z 2025-12-04T09:57:02.5962368Z Finished xpu/test_gemm 1/1 ... [2025-12-04 09:57:02.595771][2784.742304745], took 0.07min 2025-12-04T09:57:02.6168454Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_gemm/xpu.test_gemm-e3d0edfd26b19247.xml 2025-12-04T09:57:02.6449130Z Running test_fx_passes 1/1 ... [2025-12-04 09:57:02.644688][2784.791223472] 2025-12-04T09:57:02.6449724Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:02.6453781Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_passes.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 09:57:02.645079] 2025-12-04T09:57:06.4559861Z 2025-12-04T09:57:06.4560945Z test_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_passes_1.1_178908f9fc4c4e79_.log 2025-12-04T09:57:06.4561715Z Running 0 items in this shard: 2025-12-04T09:57:06.4561915Z 2025-12-04T09:57:06.4562173Z Finished test_fx_passes 1/1 ... [2025-12-04 09:57:06.455797][2788.602331571], took 0.06min 2025-12-04T09:57:06.4780393Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_passes/test_fx_passes-3e8ce1682e9ad91c.xml 2025-12-04T09:57:06.5101298Z Running functorch/test_logging 1/1 ... [2025-12-04 09:57:06.509776][2788.656310675] 2025-12-04T09:57:06.5101852Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:06.5105520Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_logging.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 09:57:06.510217] 2025-12-04T09:57:10.5568823Z 2025-12-04T09:57:10.5569880Z functorch/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_logging_1.1_f1a9eb7fca073962_.log 2025-12-04T09:57:10.5570857Z Running 0 items in this shard: 2025-12-04T09:57:10.5571172Z 2025-12-04T09:57:10.5571481Z Finished functorch/test_logging 1/1 ... [2025-12-04 09:57:10.556667][2792.703201391], took 0.07min 2025-12-04T09:57:10.5782462Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_logging/functorch.test_logging-563ed10eb5cb9466.xml 2025-12-04T09:57:10.6030899Z Running test_namedtensor 1/1 ... [2025-12-04 09:57:10.602809][2792.749343231] 2025-12-04T09:57:10.6031399Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:10.6035467Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_namedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:57:10.603216] 2025-12-04T09:57:14.8283047Z 2025-12-04T09:57:14.8284052Z test_namedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtensor_1.1_3a2965129f324629_.log 2025-12-04T09:57:14.8284856Z Running 0 items in this shard: 2025-12-04T09:57:14.8285058Z 2025-12-04T09:57:14.8285334Z Finished test_namedtensor 1/1 ... [2025-12-04 09:57:14.828097][2796.974632595], took 0.07min 2025-12-04T09:57:14.8498660Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtensor/test_namedtensor-547a23fef34c2d7f.xml 2025-12-04T09:57:14.8778810Z Running functorch/test_minifier 1/1 ... [2025-12-04 09:57:14.877474][2797.024006555] 2025-12-04T09:57:14.8779444Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:14.8781722Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_minifier.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 09:57:14.877880] 2025-12-04T09:57:18.8931923Z 2025-12-04T09:57:18.8933185Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_f84acb4ebd66831c_.log 2025-12-04T09:57:18.8934068Z Running 0 items in this shard: 2025-12-04T09:57:18.8934283Z 2025-12-04T09:57:18.8934860Z Finished functorch/test_minifier 1/1 ... [2025-12-04 09:57:18.892957][2801.039491392], took 0.07min 2025-12-04T09:57:18.9147314Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_minifier/functorch.test_minifier-9d312a1593e91544.xml 2025-12-04T09:57:18.9408276Z Running higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 09:57:18.940445][2801.086977643] 2025-12-04T09:57:18.9408880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:18.9411353Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_quant.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 09:57:18.940851] 2025-12-04T09:57:27.8832527Z 2025-12-04T09:57:27.8833675Z higher_order_ops/test_invoke_quant 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_quant_1.1_bc15be3a72408216_.log 2025-12-04T09:57:27.8834990Z Running 0 items in this shard: 2025-12-04T09:57:27.8835195Z 2025-12-04T09:57:27.8835588Z Finished higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 09:57:27.883032][2810.029564715], took 0.15min 2025-12-04T09:57:27.9048491Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_quant/higher_order_ops.test_invoke_quant-b6629f842d6167c8.xml 2025-12-04T09:57:27.9718480Z Running torch_np/test_basic 1/1 ... [2025-12-04 09:57:27.971460][2810.117992262] 2025-12-04T09:57:27.9719001Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:27.9721926Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_basic.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 09:57:27.971869] 2025-12-04T09:57:32.9004135Z 2025-12-04T09:57:32.9005118Z torch_np/test_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_basic_1.1_881ace3d7b252f2f_.log 2025-12-04T09:57:32.9007518Z Running 0 items in this shard: 2025-12-04T09:57:32.9007801Z 2025-12-04T09:57:32.9008104Z Finished torch_np/test_basic 1/1 ... [2025-12-04 09:57:32.900183][2815.046718522], took 0.08min 2025-12-04T09:57:32.9222866Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_basic/torch_np.test_basic-4140acfa4c27a49e.xml 2025-12-04T09:57:32.9586993Z Running test_native_functions 1/1 ... [2025-12-04 09:57:32.958422][2815.104956181] 2025-12-04T09:57:32.9587514Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:32.9590738Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_functions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:57:32.958819] 2025-12-04T09:57:36.6752741Z 2025-12-04T09:57:36.6753744Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_5c60290d397d4efa_.log 2025-12-04T09:57:36.6754618Z Running 0 items in this shard: 2025-12-04T09:57:36.6754816Z 2025-12-04T09:57:36.6755109Z Finished test_native_functions 1/1 ... [2025-12-04 09:57:36.675063][2818.821597741], took 0.06min 2025-12-04T09:57:36.6972944Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_functions/test_native_functions-81956200d4bce062.xml 2025-12-04T09:57:36.7263409Z Running test_typing 1/1 ... [2025-12-04 09:57:36.726026][2818.872558904] 2025-12-04T09:57:36.7263874Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:36.7267602Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_typing.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 09:57:36.726487] 2025-12-04T09:57:40.3931020Z 2025-12-04T09:57:40.3932313Z test_typing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_typing_1.1_890e2826392d679e_.log 2025-12-04T09:57:40.3933094Z Running 0 items in this shard: 2025-12-04T09:57:40.3933297Z 2025-12-04T09:57:40.3933566Z Finished test_typing 1/1 ... [2025-12-04 09:57:40.392770][2822.539300518], took 0.06min 2025-12-04T09:57:40.4168405Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_typing/test_typing-0cfdb2da8bdc49b5.xml 2025-12-04T09:57:40.4399384Z Running higher_order_ops/test_with_effects 1/1 ... [2025-12-04 09:57:40.439693][2822.586229038] 2025-12-04T09:57:40.4399955Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:40.4403185Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_with_effects.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 09:57:40.440062] 2025-12-04T09:57:45.1214978Z 2025-12-04T09:57:45.1216142Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_209ab5d8cbba90ce_.log 2025-12-04T09:57:45.1217092Z Running 0 items in this shard: 2025-12-04T09:57:45.1217311Z 2025-12-04T09:57:45.1217665Z Finished higher_order_ops/test_with_effects 1/1 ... [2025-12-04 09:57:45.121290][2827.267823099], took 0.08min 2025-12-04T09:57:45.1439137Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_with_effects/higher_order_ops.test_with_effects-b2761c7b33c09349.xml 2025-12-04T09:57:45.1685670Z Running test_weak 1/1 ... [2025-12-04 09:57:45.168307][2827.314842022] 2025-12-04T09:57:45.1686115Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:45.1689652Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_weak.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 09:57:45.168702] 2025-12-04T09:57:48.9879534Z 2025-12-04T09:57:48.9880614Z test_weak 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_weak_1.1_4c9adabfccb7eec4_.log 2025-12-04T09:57:48.9881355Z Running 0 items in this shard: 2025-12-04T09:57:48.9881555Z 2025-12-04T09:57:48.9881791Z Finished test_weak 1/1 ... [2025-12-04 09:57:48.987740][2831.134273645], took 0.06min 2025-12-04T09:57:49.0107344Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_weak/test_weak-d6788713e7792e6a.xml 2025-12-04T09:57:49.0377925Z Running test_complex 1/1 ... [2025-12-04 09:57:49.037494][2831.184028344] 2025-12-04T09:57:49.0378396Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:49.0381832Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_complex.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 09:57:49.037908] 2025-12-04T09:57:53.0851348Z 2025-12-04T09:57:53.0852252Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_7f2c20e843e6b6ee_.log 2025-12-04T09:57:53.0853024Z Running 0 items in this shard: 2025-12-04T09:57:53.0853241Z 2025-12-04T09:57:53.0853495Z Finished test_complex 1/1 ... [2025-12-04 09:57:53.084895][2835.231429498], took 0.07min 2025-12-04T09:57:53.1080437Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_complex/test_complex-e2152e1e41d5e137.xml 2025-12-04T09:57:53.1347219Z Running test_optim 1/1 ... [2025-12-04 09:57:53.134374][2835.280907792] 2025-12-04T09:57:53.1347725Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:53.1351273Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', '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 09:57:53.134841] 2025-12-04T09:57:58.8493327Z 2025-12-04T09:57:58.8494240Z test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_optim_1.1_8f7677e41188a1c9_.log 2025-12-04T09:57:58.8494972Z Running 0 items in this shard: 2025-12-04T09:57:58.8495172Z 2025-12-04T09:57:58.8495433Z Finished test_optim 1/1 ... [2025-12-04 09:57:58.849106][2840.995641691], took 0.10min 2025-12-04T09:57:58.8721137Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_optim/test_optim-278d069162bda56d.xml 2025-12-04T09:57:58.8984399Z Running lazy/test_functionalization 1/1 ... [2025-12-04 09:57:58.898123][2841.044655664] 2025-12-04T09:57:58.8984949Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:58.8988235Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_functionalization.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 09:57:58.898526] 2025-12-04T09:58:02.5054216Z 2025-12-04T09:58:02.5055289Z lazy/test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_functionalization_1.1_4661012904fc34db_.log 2025-12-04T09:58:02.5056200Z Running 0 items in this shard: 2025-12-04T09:58:02.5056413Z 2025-12-04T09:58:02.5056751Z Finished lazy/test_functionalization 1/1 ... [2025-12-04 09:58:02.505196][2844.651729547], took 0.06min 2025-12-04T09:58:02.5282176Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_functionalization/lazy.test_functionalization-1de060e1e7345ed5.xml 2025-12-04T09:58:02.5572208Z Running torch_np/test_random 1/1 ... [2025-12-04 09:58:02.556973][2844.703506474] 2025-12-04T09:58:02.5572718Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:02.5576826Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_random.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 09:58:02.557398] 2025-12-04T09:58:06.2025078Z 2025-12-04T09:58:06.2026068Z torch_np/test_random 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_random_1.1_38f1a2fed6b00008_.log 2025-12-04T09:58:06.2026904Z Running 0 items in this shard: 2025-12-04T09:58:06.2027101Z 2025-12-04T09:58:06.2027437Z Finished torch_np/test_random 1/1 ... [2025-12-04 09:58:06.202261][2848.348796001], took 0.06min 2025-12-04T09:58:06.2254353Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_random/torch_np.test_random-1cf8d7be6bfbbf00.xml 2025-12-04T09:58:06.2528643Z Running nn/test_multihead_attention 1/1 ... [2025-12-04 09:58:06.252581][2848.399115759] 2025-12-04T09:58:06.2529210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:06.2532856Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_multihead_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:58:06.253011] 2025-12-04T09:58:10.2897260Z 2025-12-04T09:58:10.2898827Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_d71358a8ca1e1028_.log 2025-12-04T09:58:10.2900873Z Running 0 items in this shard: 2025-12-04T09:58:10.2901274Z 2025-12-04T09:58:10.2901620Z Finished nn/test_multihead_attention 1/1 ... [2025-12-04 09:58:10.289487][2852.436020978], took 0.07min 2025-12-04T09:58:10.3130392Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_multihead_attention/nn.test_multihead_attention-463188cd14248681.xml 2025-12-04T09:58:10.3394015Z Running test_legacy_vmap 1/1 ... [2025-12-04 09:58:10.339068][2852.485600017] 2025-12-04T09:58:10.3394523Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:10.3397773Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_legacy_vmap.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 09:58:10.339484] 2025-12-04T09:58:14.5345757Z 2025-12-04T09:58:14.5346793Z test_legacy_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_legacy_vmap_1.1_822866104828fc36_.log 2025-12-04T09:58:14.5347718Z Running 0 items in this shard: 2025-12-04T09:58:14.5348029Z 2025-12-04T09:58:14.5348316Z Finished test_legacy_vmap 1/1 ... [2025-12-04 09:58:14.534342][2856.680876414], took 0.07min 2025-12-04T09:58:14.5585371Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_legacy_vmap/test_legacy_vmap-2a53cfe67b29318c.xml 2025-12-04T09:58:14.5844216Z Running lazy/test_bindings 1/1 ... [2025-12-04 09:58:14.584034][2856.730566059] 2025-12-04T09:58:14.5844935Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:14.5848311Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_bindings.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 09:58:14.584465] 2025-12-04T09:58:18.1912081Z 2025-12-04T09:58:18.1913218Z lazy/test_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_bindings_1.1_607cdbe79f845b46_.log 2025-12-04T09:58:18.1914195Z Running 0 items in this shard: 2025-12-04T09:58:18.1914397Z 2025-12-04T09:58:18.1914725Z Finished lazy/test_bindings 1/1 ... [2025-12-04 09:58:18.190958][2860.337491236], took 0.06min 2025-12-04T09:58:18.2145526Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_bindings/lazy.test_bindings-36caaa040d512727.xml 2025-12-04T09:58:18.2433021Z Running test_pytree 1/1 ... [2025-12-04 09:58:18.242905][2860.389436896] 2025-12-04T09:58:18.2433659Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:18.2436691Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_pytree.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 09:58:18.243318] 2025-12-04T09:58:22.2188745Z 2025-12-04T09:58:22.2189794Z test_pytree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pytree_1.1_f3a3b0573f7164b8_.log 2025-12-04T09:58:22.2190690Z Running 0 items in this shard: 2025-12-04T09:58:22.2190990Z 2025-12-04T09:58:22.2191235Z Finished test_pytree 1/1 ... [2025-12-04 09:58:22.218638][2864.365171393], took 0.07min 2025-12-04T09:58:22.2423168Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pytree/test_pytree-fcff08519b620291.xml 2025-12-04T09:58:22.2668111Z Running profiler/test_record_function 1/1 ... [2025-12-04 09:58:22.266486][2864.413020155] 2025-12-04T09:58:22.2668684Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:22.2671548Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_record_function.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 09:58:22.266866] 2025-12-04T09:58:25.9247271Z 2025-12-04T09:58:25.9248453Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_53fdb1a2ed260199_.log 2025-12-04T09:58:25.9249619Z Running 0 items in this shard: 2025-12-04T09:58:25.9249819Z 2025-12-04T09:58:25.9250278Z Finished profiler/test_record_function 1/1 ... [2025-12-04 09:58:25.924487][2868.071022169], took 0.06min 2025-12-04T09:58:25.9485113Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_record_function/profiler.test_record_function-d7a9a9b5c5e4fd3c.xml 2025-12-04T09:58:25.9773863Z Running test_compile_benchmark_util 1/1 ... [2025-12-04 09:58:25.977045][2868.123577598] 2025-12-04T09:58:25.9774612Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:25.9777946Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_compile_benchmark_util.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 09:58:25.977454] 2025-12-04T09:58:29.9673406Z 2025-12-04T09:58:29.9674791Z test_compile_benchmark_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_compile_benchmark_util_1.1_2e189815795c70dd_.log 2025-12-04T09:58:29.9675907Z Running 0 items in this shard: 2025-12-04T09:58:29.9676109Z 2025-12-04T09:58:29.9676566Z Finished test_compile_benchmark_util 1/1 ... [2025-12-04 09:58:29.967116][2872.113650121], took 0.07min 2025-12-04T09:58:29.9912958Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_compile_benchmark_util/test_compile_benchmark_util-edaf16646bf2962b.xml 2025-12-04T09:58:30.0179122Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2025-12-04 09:58:30.017536][2872.16406976] 2025-12-04T09:58:30.0179725Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:30.0182327Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.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 09:58:30.017938] 2025-12-04T09:58:33.6127175Z 2025-12-04T09:58:33.6128474Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_aec1f3f964089857_.log 2025-12-04T09:58:33.6129472Z Running 0 items in this shard: 2025-12-04T09:58:33.6129673Z 2025-12-04T09:58:33.6130116Z Finished test_set_default_mobile_cpu_allocator 1/1 ... [2025-12-04 09:58:33.612505][2875.759039301], took 0.06min 2025-12-04T09:58:33.6365658Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_set_default_mobile_cpu_allocator/test_set_default_mobile_cpu_allocator-7a11e890c246500a.xml 2025-12-04T09:58:33.6661498Z Running test_stateless 1/1 ... [2025-12-04 09:58:33.665820][2875.812353284] 2025-12-04T09:58:33.6661992Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:33.6665538Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_stateless.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 09:58:33.666202] 2025-12-04T09:58:37.7937895Z 2025-12-04T09:58:37.7938835Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_bb240d910b71741b_.log 2025-12-04T09:58:37.7939640Z Running 0 items in this shard: 2025-12-04T09:58:37.7939835Z 2025-12-04T09:58:37.7940117Z Finished test_stateless 1/1 ... [2025-12-04 09:58:37.793568][2879.940101659], took 0.07min 2025-12-04T09:58:37.8177021Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_stateless/test_stateless-1778ac434c782814.xml 2025-12-04T09:58:37.8441760Z Running functorch/test_ac 1/1 ... [2025-12-04 09:58:37.843891][2879.990424637] 2025-12-04T09:58:37.8442256Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:37.8445480Z Executing ['/opt/conda/envs/py_3.10/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 09:58:37.844275] 2025-12-04T09:58:46.5008314Z 2025-12-04T09:58:46.5009314Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_d86b3284ebb7fc38_.log 2025-12-04T09:58:46.5010038Z 2025-12-04T09:58:46.5010316Z Finished functorch/test_ac 1/1 ... [2025-12-04 09:58:46.500565][2888.647097621], took 0.14min 2025-12-04T09:58:46.5255786Z Running higher_order_ops/test_print 1/1 ... [2025-12-04 09:58:46.525211][2888.671745265] 2025-12-04T09:58:46.5256319Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:46.5259236Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_print.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 09:58:46.525650] 2025-12-04T09:58:50.5077871Z 2025-12-04T09:58:50.5079303Z higher_order_ops/test_print 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_print_1.1_3bcbf6f14df8491b_.log 2025-12-04T09:58:50.5080367Z Running 0 items in this shard: 2025-12-04T09:58:50.5080565Z 2025-12-04T09:58:50.5080899Z Finished higher_order_ops/test_print 1/1 ... [2025-12-04 09:58:50.507532][2892.654065638], took 0.07min 2025-12-04T09:58:50.5317604Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_print/higher_order_ops.test_print-02d9b89b84d4a6f5.xml 2025-12-04T09:58:50.6022474Z Running test_per_overload_api 1/1 ... [2025-12-04 09:58:50.601834][2892.748367055] 2025-12-04T09:58:50.6023016Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:50.6025820Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_per_overload_api.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 09:58:50.602249] 2025-12-04T09:58:54.2863556Z 2025-12-04T09:58:54.2864530Z test_per_overload_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_per_overload_api_1.1_80222fbf6deb5917_.log 2025-12-04T09:58:54.2865356Z Running 0 items in this shard: 2025-12-04T09:58:54.2865555Z 2025-12-04T09:58:54.2865865Z Finished test_per_overload_api 1/1 ... [2025-12-04 09:58:54.286126][2896.432662309], took 0.06min 2025-12-04T09:58:54.3104539Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_per_overload_api/test_per_overload_api-52dde1fd18a024e2.xml 2025-12-04T09:58:54.3356595Z Running torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-12-04 09:58:54.335343][2896.481877737] 2025-12-04T09:58:54.3357179Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:54.3359981Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_einsum.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 09:58:54.335729] 2025-12-04T09:58:58.0936000Z 2025-12-04T09:58:58.0937164Z torch_np/numpy_tests/core/test_einsum 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_einsum_1.1_719b50ec1490182f_.log 2025-12-04T09:58:58.0938159Z Running 0 items in this shard: 2025-12-04T09:58:58.0938357Z 2025-12-04T09:58:58.0938743Z Finished torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-12-04 09:58:58.093280][2900.239813196], took 0.06min 2025-12-04T09:58:58.1180518Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_einsum/torch_np.numpy_tests.core.test_einsum-b1ae96b53cc8e2e6.xml 2025-12-04T09:58:58.1417533Z Running test_out_dtype_op 1/1 ... [2025-12-04 09:58:58.141381][2900.287914064] 2025-12-04T09:58:58.1418336Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:58.1422513Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_out_dtype_op.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 09:58:58.141832] 2025-12-04T09:59:02.5863174Z 2025-12-04T09:59:02.5864554Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_59fb54d260b0b230_.log 2025-12-04T09:59:02.5865975Z Running 0 items in this shard: 2025-12-04T09:59:02.5866330Z 2025-12-04T09:59:02.5866825Z Finished test_out_dtype_op 1/1 ... [2025-12-04 09:59:02.586067][2904.73260127], took 0.07min 2025-12-04T09:59:02.6111611Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_out_dtype_op/test_out_dtype_op-06a8218d7f5ab58f.xml 2025-12-04T09:59:02.6374804Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-12-04 09:59:02.637044][2904.783577691] 2025-12-04T09:59:02.6375987Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:02.6378636Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ufuncs_basic.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 09:59:02.637504] 2025-12-04T09:59:06.9495603Z 2025-12-04T09:59:06.9497292Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_deeee875c6339664_.log 2025-12-04T09:59:06.9498920Z Running 0 items in this shard: 2025-12-04T09:59:06.9499277Z 2025-12-04T09:59:06.9499880Z Finished torch_np/test_ufuncs_basic 1/1 ... [2025-12-04 09:59:06.949374][2909.095909395], took 0.07min 2025-12-04T09:59:06.9755845Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ufuncs_basic/torch_np.test_ufuncs_basic-5ec268c990d975dd.xml 2025-12-04T09:59:07.0044289Z Running lazy/test_step_closures 1/1 ... [2025-12-04 09:59:07.003907][2909.150433147] 2025-12-04T09:59:07.0045279Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:07.0049802Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_step_closures.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 09:59:07.004530] 2025-12-04T09:59:10.6181507Z 2025-12-04T09:59:10.6182995Z lazy/test_step_closures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_step_closures_1.1_6001bc05bbd5d455_.log 2025-12-04T09:59:10.6184562Z Running 0 items in this shard: 2025-12-04T09:59:10.6184918Z 2025-12-04T09:59:10.6185551Z Finished lazy/test_step_closures 1/1 ... [2025-12-04 09:59:10.617932][2912.764466865], took 0.06min 2025-12-04T09:59:10.6434985Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_step_closures/lazy.test_step_closures-a0ccf7e2e249adc4.xml 2025-12-04T09:59:10.6669520Z Running functorch/dim/test_getsetitem 1/1 ... [2025-12-04 09:59:10.666560][2912.813094602] 2025-12-04T09:59:10.6670541Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:10.6673613Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/dim/test_getsetitem.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 09:59:10.667007] 2025-12-04T09:59:14.4358689Z 2025-12-04T09:59:14.4360371Z functorch/dim/test_getsetitem 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.dim.test_getsetitem_1.1_4ba1f7d7251a586b_.log 2025-12-04T09:59:14.4362153Z Running 0 items in this shard: 2025-12-04T09:59:14.4362521Z 2025-12-04T09:59:14.4363167Z Finished functorch/dim/test_getsetitem 1/1 ... [2025-12-04 09:59:14.435624][2916.582157155], took 0.06min 2025-12-04T09:59:14.4611112Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.dim.test_getsetitem/functorch.dim.test_getsetitem-942ca8a12ca9b4a6.xml 2025-12-04T09:59:14.4835629Z Running test_numpy_interop 1/1 ... [2025-12-04 09:59:14.483162][2916.629695828] 2025-12-04T09:59:14.4836466Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:14.4840665Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numpy_interop.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 09:59:14.483655] 2025-12-04T09:59:18.4472528Z 2025-12-04T09:59:18.4473864Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_f818c49d4f9ceb67_.log 2025-12-04T09:59:18.4474677Z Running 0 items in this shard: 2025-12-04T09:59:18.4474873Z 2025-12-04T09:59:18.4475165Z Finished test_numpy_interop 1/1 ... [2025-12-04 09:59:18.447030][2920.593564655], took 0.07min 2025-12-04T09:59:18.4724500Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numpy_interop/test_numpy_interop-e1e177c52f10e37c.xml 2025-12-04T09:59:18.5010903Z Running profiler/test_cpp_thread 1/1 ... [2025-12-04 09:59:18.500818][2920.647352588] 2025-12-04T09:59:18.5011437Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:18.5015348Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_cpp_thread.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 09:59:18.501248] 2025-12-04T09:59:25.2878011Z 2025-12-04T09:59:25.2879099Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_04cd2bb223ad92d3_.log 2025-12-04T09:59:25.2879981Z Running 0 items in this shard: 2025-12-04T09:59:25.2880182Z 2025-12-04T09:59:25.2880499Z Finished profiler/test_cpp_thread 1/1 ... [2025-12-04 09:59:25.287561][2927.434095956], took 0.11min 2025-12-04T09:59:25.3132358Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_cpp_thread/profiler.test_cpp_thread-086c86b7a4c0c9cf.xml 2025-12-04T09:59:25.3905290Z Running test_hub 1/1 ... [2025-12-04 09:59:25.390131][2927.536663192] 2025-12-04T09:59:25.3905764Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:25.3909088Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_hub.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 09:59:25.390610] 2025-12-04T09:59:29.0424601Z 2025-12-04T09:59:29.0425402Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_ca0a64dcb4fb5eef_.log 2025-12-04T09:59:29.0426121Z Running 0 items in this shard: 2025-12-04T09:59:29.0426318Z 2025-12-04T09:59:29.0426550Z Finished test_hub 1/1 ... [2025-12-04 09:59:29.042229][2931.188762561], took 0.06min 2025-12-04T09:59:29.0676432Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_hub/test_hub-9875fa5069fa7d6f.xml 2025-12-04T09:59:29.0944365Z Running test_opaque_obj_v2 1/1 ... [2025-12-04 09:59:29.094108][2931.240642342] 2025-12-04T09:59:29.0945153Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:29.0949065Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_opaque_obj_v2.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 09:59:29.094536] 2025-12-04T09:59:33.0842653Z 2025-12-04T09:59:33.0843609Z test_opaque_obj_v2 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_opaque_obj_v2_1.1_4b5609adc85e6d4e_.log 2025-12-04T09:59:33.0844489Z Running 0 items in this shard: 2025-12-04T09:59:33.0844689Z 2025-12-04T09:59:33.0844977Z Finished test_opaque_obj_v2 1/1 ... [2025-12-04 09:59:33.084056][2935.230589885], took 0.07min 2025-12-04T09:59:33.1098711Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_opaque_obj_v2/test_opaque_obj_v2-5da33d74ff63c434.xml 2025-12-04T09:59:33.1417942Z Running test_type_hints 1/1 ... [2025-12-04 09:59:33.141330][2935.287862861] 2025-12-04T09:59:33.1418781Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:33.1421676Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_hints.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 09:59:33.141776] 2025-12-04T09:59:36.8827442Z 2025-12-04T09:59:36.8828988Z test_type_hints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_hints_1.1_4491bf6bc11d30f4_.log 2025-12-04T09:59:36.8830404Z Running 0 items in this shard: 2025-12-04T09:59:36.8830778Z 2025-12-04T09:59:36.8831271Z Finished test_type_hints 1/1 ... [2025-12-04 09:59:36.882513][2939.029047433], took 0.06min 2025-12-04T09:59:36.9085192Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_hints/test_type_hints-d8cd963f790f6978.xml 2025-12-04T09:59:36.9356439Z Running functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:59:36.935286][2939.0818194] 2025-12-04T09:59:36.9357443Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:36.9361570Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aot_joint_with_descriptors.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 09:59:36.935749] 2025-12-04T09:59:41.0564189Z 2025-12-04T09:59:41.0565390Z functorch/test_aot_joint_with_descriptors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aot_joint_with_descriptors_1.1_f30d76e3ef0eeb13_.log 2025-12-04T09:59:41.0566413Z Running 0 items in this shard: 2025-12-04T09:59:41.0566634Z 2025-12-04T09:59:41.0567027Z Finished functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 09:59:41.056193][2943.202726469], took 0.07min 2025-12-04T09:59:41.0819407Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aot_joint_with_descriptors/functorch.test_aot_joint_with_descriptors-12b0bc14734fa48e.xml 2025-12-04T09:59:41.1100083Z Running test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:59:41.109696][2943.256228032] 2025-12-04T09:59:41.1100668Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:41.1104599Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functionalization_of_rng_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 09:59:41.110157] 2025-12-04T09:59:45.2973368Z 2025-12-04T09:59:45.2974766Z test_functionalization_of_rng_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_of_rng_ops_1.1_ea221fc5339a5358_.log 2025-12-04T09:59:45.2975829Z Running 0 items in this shard: 2025-12-04T09:59:45.2976027Z 2025-12-04T09:59:45.2976379Z Finished test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:59:45.296987][2947.443516839], took 0.07min 2025-12-04T09:59:45.3250042Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization_of_rng_ops/test_functionalization_of_rng_ops-d51c001e0677aa14.xml 2025-12-04T09:59:45.3551834Z Running test_fx_reinplace_pass 1/1 ... [2025-12-04 09:59:45.354660][2947.501187877] 2025-12-04T09:59:45.3552404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:45.3556383Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_reinplace_pass.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 09:59:45.355320] 2025-12-04T09:59:48.9605727Z 2025-12-04T09:59:48.9607757Z test_fx_reinplace_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_reinplace_pass_1.1_7d5b050272a9fb25_.log 2025-12-04T09:59:48.9609270Z Running 0 items in this shard: 2025-12-04T09:59:48.9609653Z 2025-12-04T09:59:48.9610211Z Finished test_fx_reinplace_pass 1/1 ... [2025-12-04 09:59:48.960325][2951.106860047], took 0.06min 2025-12-04T09:59:48.9865506Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_reinplace_pass/test_fx_reinplace_pass-231d73ab5bc763c3.xml 2025-12-04T09:59:49.0357270Z Running functorch/test_control_flow 1/1 ... [2025-12-04 09:59:49.035334][2951.181866854] 2025-12-04T09:59:49.0358211Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:49.0361610Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_control_flow.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 09:59:49.035788] 2025-12-04T09:59:58.0514375Z 2025-12-04T09:59:58.0515992Z functorch/test_control_flow 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_1.1_209720e614ef28f7_.log 2025-12-04T09:59:58.0517645Z Running 0 items in this shard: 2025-12-04T09:59:58.0518010Z 2025-12-04T09:59:58.0518625Z Finished functorch/test_control_flow 1/1 ... [2025-12-04 09:59:58.051202][2960.19773698], took 0.15min 2025-12-04T09:59:58.0779124Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_control_flow/functorch.test_control_flow-6991420bd9d7cbad.xml 2025-12-04T09:59:58.1494763Z Running nn/test_packed_sequence 1/1 ... [2025-12-04 09:59:58.148838][2960.29536289] 2025-12-04T09:59:58.1495729Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:58.1498584Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_packed_sequence.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 09:59:58.149466] 2025-12-04T10:00:01.8631822Z 2025-12-04T10:00:01.8633227Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_64b16e0caac8731e_.log 2025-12-04T10:00:01.8634102Z Running 0 items in this shard: 2025-12-04T10:00:01.8634304Z 2025-12-04T10:00:01.8634819Z Finished nn/test_packed_sequence 1/1 ... [2025-12-04 10:00:01.862878][2964.009411295], took 0.06min 2025-12-04T10:00:01.8897292Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_packed_sequence/nn.test_packed_sequence-6842e8e6bba45f62.xml 2025-12-04T10:00:01.9187032Z Running test_numa_binding 1/1 ... [2025-12-04 10:00:01.918281][2964.064811287] 2025-12-04T10:00:01.9187877Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:01.9191591Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numa_binding.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 10:00:01.918768] 2025-12-04T10:00:05.5523362Z 2025-12-04T10:00:05.5524821Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_ba5982f58a34a568_.log 2025-12-04T10:00:05.5526272Z Running 0 items in this shard: 2025-12-04T10:00:05.5526645Z 2025-12-04T10:00:05.5527171Z Finished test_numa_binding 1/1 ... [2025-12-04 10:00:05.552070][2967.69860318], took 0.06min 2025-12-04T10:00:05.5789482Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numa_binding/test_numa_binding-86eaea2e49b8eb09.xml 2025-12-04T10:00:05.6086191Z Running test_pruning_op 1/1 ... [2025-12-04 10:00:05.608212][2967.754745064] 2025-12-04T10:00:05.6087045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:05.6091057Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_pruning_op.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 10:00:05.608702] 2025-12-04T10:00:09.3423414Z 2025-12-04T10:00:09.3424352Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_804953ea835b6996_.log 2025-12-04T10:00:09.3425122Z Running 0 items in this shard: 2025-12-04T10:00:09.3425319Z 2025-12-04T10:00:09.3425598Z Finished test_pruning_op 1/1 ... [2025-12-04 10:00:09.342061][2971.488595092], took 0.06min 2025-12-04T10:00:09.3687012Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pruning_op/test_pruning_op-85a6c2c3028a002f.xml 2025-12-04T10:00:09.3929149Z Running test_jit_fuser_te 1/1 ... [2025-12-04 10:00:09.392615][2971.539149084] 2025-12-04T10:00:09.3929649Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:09.3933829Z Executing ['/opt/conda/envs/py_3.10/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 10:00:09.393063] 2025-12-04T10:00:16.0109693Z 2025-12-04T10:00:16.0110592Z 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_28876ef6efaef7fc_.log 2025-12-04T10:00:16.0111376Z Running 0 items in this shard: 2025-12-04T10:00:16.0111573Z 2025-12-04T10:00:16.0111841Z Finished test_jit_fuser_te 1/1 ... [2025-12-04 10:00:16.010762][2978.157295915], took 0.11min 2025-12-04T10:00:16.0374858Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_fuser_te/test_jit_fuser_te-09c05f97020c5281.xml 2025-12-04T10:00:16.1157144Z Running test_logging 1/1 ... [2025-12-04 10:00:16.115257][2978.26178398] 2025-12-04T10:00:16.1157644Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:16.1161815Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_logging.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 10:00:16.115838] 2025-12-04T10:00:19.7776986Z 2025-12-04T10:00:19.7778057Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_e5858aa832f06ef4_.log 2025-12-04T10:00:19.7778835Z Running 0 items in this shard: 2025-12-04T10:00:19.7779032Z 2025-12-04T10:00:19.7779338Z Finished test_logging 1/1 ... [2025-12-04 10:00:19.777484][2981.924017906], took 0.06min 2025-12-04T10:00:19.8045728Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_logging/test_logging-4dd80c03aa23cb33.xml 2025-12-04T10:00:19.8311130Z Running nn/test_lazy_modules 1/1 ... [2025-12-04 10:00:19.830822][2981.977355506] 2025-12-04T10:00:19.8311637Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:19.8315195Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_lazy_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 10:00:19.831214] 2025-12-04T10:00:24.0569258Z 2025-12-04T10:00:24.0570262Z nn/test_lazy_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_lazy_modules_1.1_3e607a0121b5e7c7_.log 2025-12-04T10:00:24.0571463Z Running 0 items in this shard: 2025-12-04T10:00:24.0571787Z 2025-12-04T10:00:24.0572079Z Finished nn/test_lazy_modules 1/1 ... [2025-12-04 10:00:24.056694][2986.203227196], took 0.07min 2025-12-04T10:00:24.0839212Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_lazy_modules/nn.test_lazy_modules-b3600019f1b06c60.xml 2025-12-04T10:00:24.1113628Z Running nn/test_pruning 1/1 ... [2025-12-04 10:00:24.111084][2986.257616286] 2025-12-04T10:00:24.1114112Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:24.1117617Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_pruning.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 10:00:24.111504] 2025-12-04T10:00:28.1206648Z 2025-12-04T10:00:28.1207715Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_21ab9eb5cfdb27f9_.log 2025-12-04T10:00:28.1208527Z Running 0 items in this shard: 2025-12-04T10:00:28.1208742Z 2025-12-04T10:00:28.1209009Z Finished nn/test_pruning 1/1 ... [2025-12-04 10:00:28.120407][2990.266940782], took 0.07min 2025-12-04T10:00:28.1479152Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pruning/nn.test_pruning-015549014e2b255a.xml 2025-12-04T10:00:28.1787581Z Running test_monitor 1/1 ... [2025-12-04 10:00:28.178230][2990.32475709] 2025-12-04T10:00:28.1788085Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:28.1791802Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_monitor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:28.178871] 2025-12-04T10:00:31.8207211Z 2025-12-04T10:00:31.8208164Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_b95554f9168329b7_.log 2025-12-04T10:00:31.8208928Z Running 0 items in this shard: 2025-12-04T10:00:31.8209134Z 2025-12-04T10:00:31.8209401Z Finished test_monitor 1/1 ... [2025-12-04 10:00:31.820489][2993.967022358], took 0.06min 2025-12-04T10:00:31.8478381Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_monitor/test_monitor-b295e32e69dfb608.xml 2025-12-04T10:00:31.8740041Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 10:00:31.873706][2994.020239977] 2025-12-04T10:00:31.8743031Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:31.8744414Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:31.874105] 2025-12-04T10:00:35.5465430Z 2025-12-04T10:00:35.5466420Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_b3dbaedba2096c1f_.log 2025-12-04T10:00:35.5467252Z Running 0 items in this shard: 2025-12-04T10:00:35.5467460Z 2025-12-04T10:00:35.5467763Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 10:00:35.546259][2997.692791866], took 0.06min 2025-12-04T10:00:35.5737382Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-dc96049b37853bed.xml 2025-12-04T10:00:35.6043970Z Running test_bundled_inputs 1/1 ... [2025-12-04 10:00:35.604094][2997.750625952] 2025-12-04T10:00:35.6044483Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:35.6049360Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_bundled_inputs.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 10:00:35.604517] 2025-12-04T10:00:39.3132456Z 2025-12-04T10:00:39.3133795Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_0245ff0028e1fb52_.log 2025-12-04T10:00:39.3134949Z Running 0 items in this shard: 2025-12-04T10:00:39.3135156Z 2025-12-04T10:00:39.3135493Z Finished test_bundled_inputs 1/1 ... [2025-12-04 10:00:39.312859][3001.459387203], took 0.06min 2025-12-04T10:00:39.3420417Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_bundled_inputs/test_bundled_inputs-15d3eb88706acb8f.xml 2025-12-04T10:00:39.3714401Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 10:00:39.371073][3001.517604598] 2025-12-04T10:00:39.3715011Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:39.3718067Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.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 10:00:39.371493] 2025-12-04T10:00:43.6676369Z 2025-12-04T10:00:43.6677633Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_1de3dedba3c0c162_.log 2025-12-04T10:00:43.6678640Z Running 0 items in this shard: 2025-12-04T10:00:43.6678839Z 2025-12-04T10:00:43.6679231Z Finished torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 10:00:43.667382][3005.813917364], took 0.07min 2025-12-04T10:00:43.6950238Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numeric/torch_np.numpy_tests.core.test_numeric-3e536b09290956f9.xml 2025-12-04T10:00:43.7214878Z Running torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 10:00:43.721240][3005.867775751] 2025-12-04T10:00:43.7215472Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:43.7219076Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_multiarray.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 10:00:43.721599] 2025-12-04T10:00:49.3770852Z 2025-12-04T10:00:49.3772381Z torch_np/numpy_tests/core/test_multiarray 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_multiarray_1.1_61c734687dbe940f_.log 2025-12-04T10:00:49.3773460Z Running 0 items in this shard: 2025-12-04T10:00:49.3773668Z 2025-12-04T10:00:49.3774143Z Finished torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 10:00:49.376766][3011.523293655], took 0.09min 2025-12-04T10:00:49.4064753Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_multiarray/torch_np.numpy_tests.core.test_multiarray-03873e035c69d432.xml 2025-12-04T10:00:49.4328092Z Running test_itt 1/1 ... [2025-12-04 10:00:49.432444][3011.578975569] 2025-12-04T10:00:49.4328558Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:49.4332049Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_itt.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 10:00:49.432892] 2025-12-04T10:00:53.0461077Z 2025-12-04T10:00:53.0461946Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_6b1e666dace6b29d_.log 2025-12-04T10:00:53.0463014Z Running 0 items in this shard: 2025-12-04T10:00:53.0463347Z 2025-12-04T10:00:53.0463596Z Finished test_itt 1/1 ... [2025-12-04 10:00:53.045868][3015.19240212], took 0.06min 2025-12-04T10:00:53.0737307Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_itt/test_itt-c68533a4f8caee4f.xml 2025-12-04T10:00:53.1004270Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 10:00:53.100092][3015.246626559] 2025-12-04T10:00:53.1004896Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:53.1007575Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/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 10:00:53.100482] 2025-12-04T10:00:58.0195949Z 2025-12-04T10:00:58.0197221Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_e304aa8a8cfb6748_.log 2025-12-04T10:00:58.0198271Z Running 0 items in this shard: 2025-12-04T10:00:58.0198489Z 2025-12-04T10:00:58.0198888Z Finished torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 10:00:58.019377][3020.165912779], took 0.08min 2025-12-04T10:00:58.0476221Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_function_base/torch_np.numpy_tests.lib.test_function_base-16613652a36cfea9.xml 2025-12-04T10:00:58.0796447Z Running test_sympy_utils 1/1 ... [2025-12-04 10:00:58.079329][3020.225863548] 2025-12-04T10:00:58.0796947Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:58.0800465Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sympy_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 10:00:58.079736] 2025-12-04T10:01:02.5280261Z 2025-12-04T10:01:02.5281259Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_9d860e0b49146be7_.log 2025-12-04T10:01:02.5282026Z Running 0 items in this shard: 2025-12-04T10:01:02.5282244Z 2025-12-04T10:01:02.5282515Z Finished test_sympy_utils 1/1 ... [2025-12-04 10:01:02.527786][3024.674319241], took 0.07min 2025-12-04T10:01:02.5561253Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sympy_utils/test_sympy_utils-8cc8437216216195.xml 2025-12-04T10:01:02.5935616Z Running test_subclass 1/1 ... [2025-12-04 10:01:02.593192][3024.739724951] 2025-12-04T10:01:02.5936093Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:02.5939260Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_subclass.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 10:01:02.593653] 2025-12-04T10:01:06.5707012Z 2025-12-04T10:01:06.5707959Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_18e3de8c7717fedf_.log 2025-12-04T10:01:06.5708729Z Running 0 items in this shard: 2025-12-04T10:01:06.5708928Z 2025-12-04T10:01:06.5709201Z Finished test_subclass 1/1 ... [2025-12-04 10:01:06.570456][3028.716989092], took 0.07min 2025-12-04T10:01:06.5989752Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_subclass/test_subclass-4a07fef6c09fa30c.xml 2025-12-04T10:01:06.6272341Z Running test_import_stats 1/1 ... [2025-12-04 10:01:06.626762][3028.773293805] 2025-12-04T10:01:06.6273185Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:06.6276187Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_import_stats.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 10:01:06.627213] 2025-12-04T10:01:10.2390572Z 2025-12-04T10:01:10.2391996Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_3ce64c8607830e8d_.log 2025-12-04T10:01:10.2393488Z Running 0 items in this shard: 2025-12-04T10:01:10.2393812Z 2025-12-04T10:01:10.2394347Z Finished test_import_stats 1/1 ... [2025-12-04 10:01:10.238813][3032.385347396], took 0.06min 2025-12-04T10:01:10.2684704Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_import_stats/test_import_stats-95ec6363bc99e40f.xml 2025-12-04T10:01:10.2949615Z Running functorch/test_vmap_registrations 1/1 ... [2025-12-04 10:01:10.294575][3032.441107734] 2025-12-04T10:01:10.2950623Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:10.2954417Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_vmap_registrations.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 10:01:10.295043] 2025-12-04T10:01:17.4839060Z 2025-12-04T10:01:17.4840188Z functorch/test_vmap_registrations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_registrations_1.1_0dcfe2f777cd9b71_.log 2025-12-04T10:01:17.4841172Z Running 0 items in this shard: 2025-12-04T10:01:17.4841387Z 2025-12-04T10:01:17.4841767Z Finished functorch/test_vmap_registrations 1/1 ... [2025-12-04 10:01:17.483657][3039.630191305], took 0.12min 2025-12-04T10:01:17.5127103Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap_registrations/functorch.test_vmap_registrations-82b917fa1ac2066a.xml 2025-12-04T10:01:17.5838191Z Running nn/test_parametrization 1/1 ... [2025-12-04 10:01:17.583384][3039.72991644] 2025-12-04T10:01:17.5838730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:17.5843739Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_parametrization.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 10:01:17.584054] 2025-12-04T10:01:21.7286927Z 2025-12-04T10:01:21.7287953Z nn/test_parametrization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_parametrization_1.1_7cca2ee3177d13d4_.log 2025-12-04T10:01:21.7288823Z Running 0 items in this shard: 2025-12-04T10:01:21.7289036Z 2025-12-04T10:01:21.7289390Z Finished nn/test_parametrization 1/1 ... [2025-12-04 10:01:21.728446][3043.874979927], took 0.07min 2025-12-04T10:01:21.7579921Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_parametrization/nn.test_parametrization-076cc902897ce6e8.xml 2025-12-04T10:01:21.7845307Z Running test_mkldnn_fusion 1/1 ... [2025-12-04 10:01:21.784203][3043.930734489] 2025-12-04T10:01:21.7845815Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:21.7849214Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkldnn_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 10:01:21.784638] 2025-12-04T10:01:25.4063902Z 2025-12-04T10:01:25.4064873Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_ccb086c7e00cbe45_.log 2025-12-04T10:01:25.4066050Z Running 0 items in this shard: 2025-12-04T10:01:25.4066407Z 2025-12-04T10:01:25.4066691Z Finished test_mkldnn_fusion 1/1 ... [2025-12-04 10:01:25.406134][3047.552667815], took 0.06min 2025-12-04T10:01:25.4353260Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkldnn_fusion/test_mkldnn_fusion-aae41e7d3627f6bb.xml 2025-12-04T10:01:25.4633972Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:01:25.463066][3047.609600034] 2025-12-04T10:01:25.4634445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:25.4637676Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:25.463450] 2025-12-04T10:01:30.7061794Z 2025-12-04T10:01:30.7062830Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_bd2a6e7e8cb1b71c_.log 2025-12-04T10:01:30.7063683Z Running 0 items in this shard: 2025-12-04T10:01:30.7063880Z 2025-12-04T10:01:30.7064166Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:01:30.705957][3052.852491905], took 0.09min 2025-12-04T10:01:30.7138529Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-ed8ac2a108170a2d.xml 2025-12-04T10:01:30.7620012Z Running test_dynamic_shapes 1/1 ... [2025-12-04 10:01:30.761683][3052.908216661] 2025-12-04T10:01:30.7620521Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:30.7623973Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', '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 10:01:30.762079] 2025-12-04T10:01:35.6445214Z 2025-12-04T10:01:35.6446230Z test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dynamic_shapes_1.1_cb44d3fbc494205c_.log 2025-12-04T10:01:35.6447039Z Running 0 items in this shard: 2025-12-04T10:01:35.6447254Z 2025-12-04T10:01:35.6447552Z Finished test_dynamic_shapes 1/1 ... [2025-12-04 10:01:35.644292][3057.790826332], took 0.08min 2025-12-04T10:01:35.6734936Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-a15c151ec9b6ef86.xml 2025-12-04T10:01:35.7008883Z Running complex_tensor/test_complex_tensor 1/1 ... [2025-12-04 10:01:35.700548][3057.847081683] 2025-12-04T10:01:35.7009459Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:35.7012388Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'complex_tensor/test_complex_tensor.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 10:01:35.700939] 2025-12-04T10:01:40.9450039Z 2025-12-04T10:01:40.9451376Z complex_tensor/test_complex_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/complex_tensor.test_complex_tensor_1.1_bdff8af15febc9d8_.log 2025-12-04T10:01:40.9452367Z Running 0 items in this shard: 2025-12-04T10:01:40.9452570Z 2025-12-04T10:01:40.9452959Z Finished complex_tensor/test_complex_tensor 1/1 ... [2025-12-04 10:01:40.944797][3063.091331745], took 0.09min 2025-12-04T10:01:40.9744862Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/complex_tensor.test_complex_tensor/complex_tensor.test_complex_tensor-6a9fc013aaa83e45.xml 2025-12-04T10:01:40.9986061Z Running optim/test_swa_utils 1/1 ... [2025-12-04 10:01:40.998323][3063.1448575] 2025-12-04T10:01:40.9986553Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:40.9989690Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_swa_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 10:01:40.998699] 2025-12-04T10:01:44.5953427Z 2025-12-04T10:01:44.5954468Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_c43af816bf871e09_.log 2025-12-04T10:01:44.5955211Z 2025-12-04T10:01:44.5955511Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 10:01:44.595095][3066.741629432], took 0.06min 2025-12-04T10:01:44.6253274Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:01:44.625036][3066.771569838] 2025-12-04T10:01:44.6253890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:44.6257555Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_histograms.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 10:01:44.625480] 2025-12-04T10:01:48.3217092Z 2025-12-04T10:01:48.3218333Z torch_np/numpy_tests/lib/test_histograms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_0f551b2aee8dea7b_.log 2025-12-04T10:01:48.3219563Z Running 0 items in this shard: 2025-12-04T10:01:48.3219764Z 2025-12-04T10:01:48.3220264Z Finished torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:01:48.321496][3070.468031884], took 0.06min 2025-12-04T10:01:48.3522016Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_histograms/torch_np.numpy_tests.lib.test_histograms-9dc77342a3944e29.xml 2025-12-04T10:01:48.4366902Z Running torch_np/test_indexing 1/1 ... [2025-12-04 10:01:48.436195][3070.582726192] 2025-12-04T10:01:48.4367608Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:48.4369752Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_indexing.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 10:01:48.436661] 2025-12-04T10:01:52.1036342Z 2025-12-04T10:01:52.1037514Z torch_np/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_indexing_1.1_20542f0e5589fc59_.log 2025-12-04T10:01:52.1038378Z Running 0 items in this shard: 2025-12-04T10:01:52.1038579Z 2025-12-04T10:01:52.1038882Z Finished torch_np/test_indexing 1/1 ... [2025-12-04 10:01:52.103423][3074.249958074], took 0.06min 2025-12-04T10:01:52.1332677Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_indexing/torch_np.test_indexing-75f69e94d0dba8b0.xml 2025-12-04T10:01:52.1569936Z Running test_schema_check 1/1 ... [2025-12-04 10:01:52.156642][3074.303175883] 2025-12-04T10:01:52.1570428Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:52.1573075Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_schema_check.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 10:01:52.157030] 2025-12-04T10:01:57.4501431Z 2025-12-04T10:01:57.4502491Z test_schema_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_schema_check_1.1_1285d95e95a8eca5_.log 2025-12-04T10:01:57.4503394Z Running 0 items in this shard: 2025-12-04T10:01:57.4503626Z 2025-12-04T10:01:57.4504005Z Finished test_schema_check 1/1 ... [2025-12-04 10:01:57.449868][3079.596402028], took 0.09min 2025-12-04T10:01:57.4799210Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_schema_check/test_schema_check-713aa30bf497e175.xml 2025-12-04T10:01:57.5072476Z Running test_tensorboard 1/1 ... [2025-12-04 10:01:57.506891][3079.6534252] 2025-12-04T10:01:57.5073091Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:57.5075906Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorboard.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 10:01:57.507276] 2025-12-04T10:02:01.6633196Z 2025-12-04T10:02:01.6634166Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_6ab22f76f6627492_.log 2025-12-04T10:02:01.6635216Z Running 0 items in this shard: 2025-12-04T10:02:01.6635449Z 2025-12-04T10:02:01.6635756Z Finished test_tensorboard 1/1 ... [2025-12-04 10:02:01.663100][3083.809634313], took 0.07min 2025-12-04T10:02:01.6932326Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorboard/test_tensorboard-83ca0adc3346a831.xml 2025-12-04T10:02:01.7217907Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-12-04 10:02:01.721428][3083.867960857] 2025-12-04T10:02:01.7218660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:01.7222151Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.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 10:02:01.721881] 2025-12-04T10:02:05.5170151Z 2025-12-04T10:02:05.5171489Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_4561c767db28f5bc_.log 2025-12-04T10:02:05.5172533Z Running 0 items in this shard: 2025-12-04T10:02:05.5172734Z 2025-12-04T10:02:05.5173122Z Finished torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-12-04 10:02:05.516753][3087.663286594], took 0.06min 2025-12-04T10:02:05.5479836Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_indexing/torch_np.numpy_tests.core.test_indexing-cdb3879a58d84943.xml 2025-12-04T10:02:05.5768584Z Running test_futures 1/1 ... [2025-12-04 10:02:05.576455][3087.722982543] 2025-12-04T10:02:05.5769082Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:05.5773278Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_futures.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 10:02:05.577013] 2025-12-04T10:02:09.2215754Z 2025-12-04T10:02:09.2216644Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_0942a9d25261f961_.log 2025-12-04T10:02:09.2217414Z Running 0 items in this shard: 2025-12-04T10:02:09.2217615Z 2025-12-04T10:02:09.2217885Z Finished test_futures 1/1 ... [2025-12-04 10:02:09.221330][3091.367864292], took 0.06min 2025-12-04T10:02:09.2518359Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_futures/test_futures-54c9f0f8adcd6305.xml 2025-12-04T10:02:09.2789918Z Running nn/test_dropout 1/1 ... [2025-12-04 10:02:09.278659][3091.425191403] 2025-12-04T10:02:09.2790441Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:09.2793967Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_dropout.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 10:02:09.279071] 2025-12-04T10:02:13.3561381Z 2025-12-04T10:02:13.3562284Z nn/test_dropout 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_dropout_1.1_93b7284b47c7eb4d_.log 2025-12-04T10:02:13.3563050Z Running 0 items in this shard: 2025-12-04T10:02:13.3563263Z 2025-12-04T10:02:13.3563539Z Finished nn/test_dropout 1/1 ... [2025-12-04 10:02:13.355862][3095.502396337], took 0.07min 2025-12-04T10:02:13.3863865Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_dropout/nn.test_dropout-1a57484594133225.xml 2025-12-04T10:02:13.4145116Z Running functorch/dim/test_split 1/1 ... [2025-12-04 10:02:13.414218][3095.560752518] 2025-12-04T10:02:13.4145631Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:13.4148898Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/dim/test_split.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 10:02:13.414592] 2025-12-04T10:02:17.1591777Z 2025-12-04T10:02:17.1593435Z functorch/dim/test_split 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.dim.test_split_1.1_4368454a352088d0_.log 2025-12-04T10:02:17.1594834Z Running 0 items in this shard: 2025-12-04T10:02:17.1595173Z 2025-12-04T10:02:17.1595666Z Finished functorch/dim/test_split 1/1 ... [2025-12-04 10:02:17.158930][3099.30546444], took 0.06min 2025-12-04T10:02:17.1898798Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.dim.test_split/functorch.dim.test_split-64f84701ca7e1ee8.xml 2025-12-04T10:02:17.2151321Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-12-04 10:02:17.214757][3099.361290575] 2025-12-04T10:02:17.2151958Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:17.2154718Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.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 10:02:17.215168] 2025-12-04T10:02:20.9374036Z 2025-12-04T10:02:20.9375159Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_09ab31de3d4e976e_.log 2025-12-04T10:02:20.9376177Z Running 0 items in this shard: 2025-12-04T10:02:20.9376375Z 2025-12-04T10:02:20.9376759Z Finished torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-12-04 10:02:20.937168][3103.083701245], took 0.06min 2025-12-04T10:02:20.9678426Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_type_check/torch_np.numpy_tests.lib.test_type_check-90da55d7d40650c8.xml 2025-12-04T10:02:20.9949706Z Running cpp_extensions/test_libtorch_agnostic 1/1 ... [2025-12-04 10:02:20.994696][3103.141229449] 2025-12-04T10:02:20.9950314Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:20.9954058Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/test_libtorch_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 10:02:20.995090] 2025-12-04T10:02:24.9519051Z 2025-12-04T10:02:24.9520157Z cpp_extensions/test_libtorch_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.test_libtorch_agnostic_1.1_d9a1355c4d2475b9_.log 2025-12-04T10:02:24.9521157Z Running 0 items in this shard: 2025-12-04T10:02:24.9521654Z 2025-12-04T10:02:24.9522147Z Finished cpp_extensions/test_libtorch_agnostic 1/1 ... [2025-12-04 10:02:24.951670][3107.098205832], took 0.07min 2025-12-04T10:02:24.9826730Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.test_libtorch_agnostic/cpp_extensions.test_libtorch_agnostic-e6cbd8eccd2ccd5e.xml 2025-12-04T10:02:25.0098212Z Running test_jit 1/1 ... [2025-12-04 10:02:25.009597][3107.15613382] 2025-12-04T10:02:25.0098649Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:25.0102282Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit.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 10:02:25.009955] 2025-12-04T10:02:35.6897547Z 2025-12-04T10:02:35.6898501Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_e953a3bd317dd6eb_.log 2025-12-04T10:02:35.6899239Z Running 0 items in this shard: 2025-12-04T10:02:35.6899454Z 2025-12-04T10:02:35.6899691Z Finished test_jit 1/1 ... [2025-12-04 10:02:35.689552][3117.836085971], took 0.18min 2025-12-04T10:02:35.7207194Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit/test_jit-4c84cce6ee419197.xml 2025-12-04T10:02:35.7897020Z Running test_datapipe 1/1 ... [2025-12-04 10:02:35.789347][3117.935879063] 2025-12-04T10:02:35.7897502Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:35.7900647Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_datapipe.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 10:02:35.789775] 2025-12-04T10:02:39.7227845Z 2025-12-04T10:02:39.7228903Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_02e3da87b933133d_.log 2025-12-04T10:02:39.7229714Z Running 0 items in this shard: 2025-12-04T10:02:39.7229914Z 2025-12-04T10:02:39.7230194Z Finished test_datapipe 1/1 ... [2025-12-04 10:02:39.722538][3121.869071597], took 0.07min 2025-12-04T10:02:39.7542963Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_datapipe/test_datapipe-a5f0d595a5328700.xml 2025-12-04T10:02:39.7751257Z Running test_numba_integration 1/1 ... [2025-12-04 10:02:39.774868][3121.921402299] 2025-12-04T10:02:39.7751779Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:39.7755365Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numba_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 10:02:39.775242] 2025-12-04T10:02:43.8315835Z 2025-12-04T10:02:43.8316855Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_f2e87211068679e8_.log 2025-12-04T10:02:43.8317716Z Running 0 items in this shard: 2025-12-04T10:02:43.8317933Z 2025-12-04T10:02:43.8318251Z Finished test_numba_integration 1/1 ... [2025-12-04 10:02:43.831348][3125.977882532], took 0.07min 2025-12-04T10:02:43.8632977Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numba_integration/test_numba_integration-cd829ea569a744c2.xml 2025-12-04T10:02:43.8926635Z Running test_functional_optim 1/1 ... [2025-12-04 10:02:43.892337][3126.038870335] 2025-12-04T10:02:43.8927138Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:43.8930957Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functional_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 10:02:43.892745] 2025-12-04T10:02:47.7163456Z 2025-12-04T10:02:47.7164536Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_2fe447e2e2712891_.log 2025-12-04T10:02:47.7165366Z Running 0 items in this shard: 2025-12-04T10:02:47.7165583Z 2025-12-04T10:02:47.7165881Z Finished test_functional_optim 1/1 ... [2025-12-04 10:02:47.716085][3129.862619948], took 0.06min 2025-12-04T10:02:47.7479816Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_optim/test_functional_optim-968c61545438dcf1.xml 2025-12-04T10:02:47.7803133Z Running test_maskedtensor 1/1 ... [2025-12-04 10:02:47.779983][3129.92651658] 2025-12-04T10:02:47.7803642Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:47.7807109Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_maskedtensor.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 10:02:47.780417] 2025-12-04T10:02:53.3921822Z 2025-12-04T10:02:53.3922835Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_2db9d9397f793be2_.log 2025-12-04T10:02:53.3923633Z Running 0 items in this shard: 2025-12-04T10:02:53.3923919Z 2025-12-04T10:02:53.3924205Z Finished test_maskedtensor 1/1 ... [2025-12-04 10:02:53.391935][3135.538469993], took 0.09min 2025-12-04T10:02:53.4236229Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_maskedtensor/test_maskedtensor-bb078485dbe68b9b.xml 2025-12-04T10:02:53.4499248Z Running benchmark_utils/test_benchmark_utils 1/1 ... [2025-12-04 10:02:53.449621][3135.596152968] 2025-12-04T10:02:53.4499876Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:53.4503138Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'benchmark_utils/test_benchmark_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 10:02:53.450012] 2025-12-04T10:02:57.0924936Z 2025-12-04T10:02:57.0926105Z benchmark_utils/test_benchmark_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/benchmark_utils.test_benchmark_utils_1.1_1fb9c9720b7edf53_.log 2025-12-04T10:02:57.0927084Z Running 0 items in this shard: 2025-12-04T10:02:57.0927295Z 2025-12-04T10:02:57.0927663Z Finished benchmark_utils/test_benchmark_utils 1/1 ... [2025-12-04 10:02:57.092255][3139.238789746], took 0.06min 2025-12-04T10:02:57.1249063Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/benchmark_utils.test_benchmark_utils/benchmark_utils.test_benchmark_utils-85a0a58c8c06b5ec.xml 2025-12-04T10:02:57.1586369Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 10:02:57.158231][3139.304759808] 2025-12-04T10:02:57.1586984Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:57.1590584Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarmath.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 10:02:57.158740] 2025-12-04T10:03:01.3202181Z 2025-12-04T10:03:01.3203351Z torch_np/numpy_tests/core/test_scalarmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarmath_1.1_8d657b0cfe7380ed_.log 2025-12-04T10:03:01.3204466Z Running 0 items in this shard: 2025-12-04T10:03:01.3205005Z 2025-12-04T10:03:01.3205540Z Finished torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 10:03:01.319964][3143.466496615], took 0.07min 2025-12-04T10:03:01.3523047Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalarmath/torch_np.numpy_tests.core.test_scalarmath-64654e670b16febd.xml 2025-12-04T10:03:01.3820103Z Running test_scaled_matmul_cuda 1/1 ... [2025-12-04 10:03:01.381709][3143.528241885] 2025-12-04T10:03:01.3820619Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:01.3823889Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_scaled_matmul_cuda.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 10:03:01.382115] 2025-12-04T10:03:05.4378684Z 2025-12-04T10:03:05.4379771Z test_scaled_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scaled_matmul_cuda_1.1_54dc9db96fe5d639_.log 2025-12-04T10:03:05.4380646Z Running 0 items in this shard: 2025-12-04T10:03:05.4380857Z 2025-12-04T10:03:05.4381157Z Finished test_scaled_matmul_cuda 1/1 ... [2025-12-04 10:03:05.437638][3147.584172318], took 0.07min 2025-12-04T10:03:05.4699031Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scaled_matmul_cuda/test_scaled_matmul_cuda-74339a352c01233e.xml 2025-12-04T10:03:05.4988752Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 10:03:05.498535][3147.645069361] 2025-12-04T10:03:05.4989357Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:05.4992724Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_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 10:03:05.498970] 2025-12-04T10:03:09.4160806Z 2025-12-04T10:03:09.4162054Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_42cd6564c8ab7574_.log 2025-12-04T10:03:09.4163079Z Running 0 items in this shard: 2025-12-04T10:03:09.4163279Z 2025-12-04T10:03:09.4163735Z Finished torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 10:03:09.415777][3151.56230982], took 0.07min 2025-12-04T10:03:09.4480744Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_shape_base/torch_np.numpy_tests.core.test_shape_base-20c867edc946cf8f.xml 2025-12-04T10:03:09.4756510Z Running test_vulkan 1/1 ... [2025-12-04 10:03:09.475322][3151.621855033] 2025-12-04T10:03:09.4759034Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:09.4760475Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_vulkan.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 10:03:09.475757] 2025-12-04T10:03:13.0967792Z 2025-12-04T10:03:13.0968710Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_db9cfaf6d1d30043_.log 2025-12-04T10:03:13.0969464Z Running 0 items in this shard: 2025-12-04T10:03:13.0969664Z 2025-12-04T10:03:13.0969927Z Finished test_vulkan 1/1 ... [2025-12-04 10:03:13.096613][3155.243147312], took 0.06min 2025-12-04T10:03:13.1288656Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_vulkan/test_vulkan-45ddf67c00ffdff0.xml 2025-12-04T10:03:13.1562077Z Running lazy/test_generator 1/1 ... [2025-12-04 10:03:13.155943][3155.302477008] 2025-12-04T10:03:13.1562587Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:13.1566757Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_generator.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 10:03:13.156383] 2025-12-04T10:03:16.8669306Z 2025-12-04T10:03:16.8670551Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_6411b291d63a4266_.log 2025-12-04T10:03:16.8671533Z Running 0 items in this shard: 2025-12-04T10:03:16.8671756Z 2025-12-04T10:03:16.8672046Z Finished lazy/test_generator 1/1 ... [2025-12-04 10:03:16.866689][3159.01322429], took 0.06min 2025-12-04T10:03:16.8990852Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_generator/lazy.test_generator-23db0b135655bcc5.xml 2025-12-04T10:03:16.9244172Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 10:03:16.924102][3159.070636008] 2025-12-04T10:03:16.9244783Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:16.9248143Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.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 10:03:16.924522] 2025-12-04T10:03:21.2206203Z 2025-12-04T10:03:21.2207409Z torch_np/numpy_tests/linalg/test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_8a587a732330f521_.log 2025-12-04T10:03:21.2208428Z Running 0 items in this shard: 2025-12-04T10:03:21.2208625Z 2025-12-04T10:03:21.2209016Z Finished torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 10:03:21.220387][3163.366921251], took 0.07min 2025-12-04T10:03:21.2540435Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.linalg.test_linalg/torch_np.numpy_tests.linalg.test_linalg-72ac2bebf942f91a.xml 2025-12-04T10:03:21.2823717Z Running torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 10:03:21.281971][3163.428503414] 2025-12-04T10:03:21.2824334Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:21.2826434Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dtype.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 10:03:21.282379] 2025-12-04T10:03:25.1001109Z 2025-12-04T10:03:25.1002682Z torch_np/numpy_tests/core/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_b470271a59b2bc90_.log 2025-12-04T10:03:25.1003883Z Running 0 items in this shard: 2025-12-04T10:03:25.1004099Z 2025-12-04T10:03:25.1004466Z Finished torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 10:03:25.099830][3167.246358865], took 0.06min 2025-12-04T10:03:25.1333173Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_dtype/torch_np.numpy_tests.core.test_dtype-0a135640bc9c9a9f.xml 2025-12-04T10:03:25.1573811Z Running lazy/test_debug_util 1/1 ... [2025-12-04 10:03:25.157140][3167.303674991] 2025-12-04T10:03:25.1574321Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:25.1578018Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_debug_util.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 10:03:25.157514] 2025-12-04T10:03:28.7771899Z 2025-12-04T10:03:28.7773204Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_40cd3dcd31c1fdf6_.log 2025-12-04T10:03:28.7774087Z Running 0 items in this shard: 2025-12-04T10:03:28.7774288Z 2025-12-04T10:03:28.7774574Z Finished lazy/test_debug_util 1/1 ... [2025-12-04 10:03:28.776988][3170.92352262], took 0.06min 2025-12-04T10:03:28.8102596Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_debug_util/lazy.test_debug_util-ac2c5d6fdbfeb051.xml 2025-12-04T10:03:28.8366431Z Running nn/test_load_state_dict 1/1 ... [2025-12-04 10:03:28.836337][3170.982871567] 2025-12-04T10:03:28.8366961Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:28.8370291Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_load_state_dict.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 10:03:28.836736] 2025-12-04T10:03:32.9244798Z 2025-12-04T10:03:32.9245813Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_cd295c1c7deeba6c_.log 2025-12-04T10:03:32.9246652Z Running 0 items in this shard: 2025-12-04T10:03:32.9246871Z 2025-12-04T10:03:32.9247175Z Finished nn/test_load_state_dict 1/1 ... [2025-12-04 10:03:32.924222][3175.070757045], took 0.07min 2025-12-04T10:03:32.9570472Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_load_state_dict/nn.test_load_state_dict-0a41e372d04c52a7.xml 2025-12-04T10:03:32.9826408Z Running nn/test_module_hooks 1/1 ... [2025-12-04 10:03:32.982297][3175.128830141] 2025-12-04T10:03:32.9826921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:32.9830629Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_module_hooks.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 10:03:32.982752] 2025-12-04T10:03:37.1013242Z 2025-12-04T10:03:37.1014227Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_c359abfe5ec77d72_.log 2025-12-04T10:03:37.1015039Z Running 0 items in this shard: 2025-12-04T10:03:37.1015255Z 2025-12-04T10:03:37.1015542Z Finished nn/test_module_hooks 1/1 ... [2025-12-04 10:03:37.101110][3179.247643379], took 0.07min 2025-12-04T10:03:37.1346609Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_module_hooks/nn.test_module_hooks-76e31ba61e97c796.xml 2025-12-04T10:03:37.1671007Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 10:03:37.166725][3179.313258129] 2025-12-04T10:03:37.1671642Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:37.1674411Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_twodim_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 10:03:37.167155] 2025-12-04T10:03:40.8323537Z 2025-12-04T10:03:40.8324741Z torch_np/numpy_tests/lib/test_twodim_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_917502c288db67fc_.log 2025-12-04T10:03:40.8325745Z Running 0 items in this shard: 2025-12-04T10:03:40.8325956Z 2025-12-04T10:03:40.8326353Z Finished torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 10:03:40.832151][3182.978685325], took 0.06min 2025-12-04T10:03:40.8670122Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_twodim_base/torch_np.numpy_tests.lib.test_twodim_base-9a2bc0d2b3187f9e.xml 2025-12-04T10:03:40.8953667Z Running profiler/test_memory_profiler 1/1 ... [2025-12-04 10:03:40.894992][3183.041521884] 2025-12-04T10:03:40.8954226Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:40.8958050Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_memory_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 10:03:40.895513] 2025-12-04T10:03:45.0016304Z 2025-12-04T10:03:45.0017399Z profiler/test_memory_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_memory_profiler_1.1_7b7175bef2b86da7_.log 2025-12-04T10:03:45.0018340Z Running 0 items in this shard: 2025-12-04T10:03:45.0018540Z 2025-12-04T10:03:45.0018932Z Finished profiler/test_memory_profiler 1/1 ... [2025-12-04 10:03:45.001421][3187.147956053], took 0.07min 2025-12-04T10:03:45.0356679Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_memory_profiler/profiler.test_memory_profiler-f0a274e1a39f5d0f.xml 2025-12-04T10:03:45.0647041Z Running test_jit_llga_fuser 1/1 ... [2025-12-04 10:03:45.064411][3187.210944043] 2025-12-04T10:03:45.0647544Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:45.0651153Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_llga_fuser.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 10:03:45.064827] 2025-12-04T10:03:49.3645706Z 2025-12-04T10:03:49.3646814Z test_jit_llga_fuser 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_llga_fuser_1.1_1ebc9cce771665bc_.log 2025-12-04T10:03:49.3647685Z Running 0 items in this shard: 2025-12-04T10:03:49.3647887Z 2025-12-04T10:03:49.3648181Z Finished test_jit_llga_fuser 1/1 ... [2025-12-04 10:03:49.364340][3191.510874197], took 0.07min 2025-12-04T10:03:49.3983594Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_llga_fuser/test_jit_llga_fuser-fc787dd6d7cc7558.xml 2025-12-04T10:03:49.4262632Z Running test_serialization 1/1 ... [2025-12-04 10:03:49.425911][3191.5724445] 2025-12-04T10:03:49.4263124Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:49.4266905Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_serialization.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 10:03:49.426398] 2025-12-04T10:03:54.1296784Z 2025-12-04T10:03:54.1297785Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_90b4feb05fe9cc7e_.log 2025-12-04T10:03:54.1298641Z Running 0 items in this shard: 2025-12-04T10:03:54.1298840Z 2025-12-04T10:03:54.1299142Z Finished test_serialization 1/1 ... [2025-12-04 10:03:54.129469][3196.275999928], took 0.08min 2025-12-04T10:03:54.1634003Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_serialization/test_serialization-1c8e33f75055aa80.xml 2025-12-04T10:03:54.1899804Z Running optim/test_optim 1/1 ... [2025-12-04 10:03:54.189674][3196.336206977] 2025-12-04T10:03:54.1900285Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:54.1904390Z Executing ['/opt/conda/envs/py_3.10/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 10:03:54.190118] 2025-12-04T10:03:57.6575938Z 2025-12-04T10:03:57.6577663Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_0b66516096979979_.log 2025-12-04T10:03:57.6578947Z 2025-12-04T10:03:57.6579458Z Finished optim/test_optim 1/1 ... [2025-12-04 10:03:57.657219][3199.803747222], took 0.06min 2025-12-04T10:03:57.6945607Z Running torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 10:03:57.693990][3199.840515732] 2025-12-04T10:03:57.6946511Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:57.6951575Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_pocketfft.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 10:03:57.694702] 2025-12-04T10:04:01.4610835Z 2025-12-04T10:04:01.4612083Z torch_np/numpy_tests/fft/test_pocketfft 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_pocketfft_1.1_7d21938ad62ffb68_.log 2025-12-04T10:04:01.4613092Z Running 0 items in this shard: 2025-12-04T10:04:01.4613291Z 2025-12-04T10:04:01.4613672Z Finished torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 10:04:01.460851][3203.607385134], took 0.06min 2025-12-04T10:04:01.4949735Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_pocketfft/torch_np.numpy_tests.fft.test_pocketfft-4567c4df631b9f6d.xml 2025-12-04T10:04:01.5802034Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 10:04:01.579810][3203.726343104] 2025-12-04T10:04:01.5802639Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:01.5806332Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_shape_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 10:04:01.580307] 2025-12-04T10:04:05.3778593Z 2025-12-04T10:04:05.3779794Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_4c07f4a0904174b1_.log 2025-12-04T10:04:05.3780813Z Running 0 items in this shard: 2025-12-04T10:04:05.3781011Z 2025-12-04T10:04:05.3781410Z Finished torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 10:04:05.377594][3207.524128161], took 0.06min 2025-12-04T10:04:05.4115460Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_shape_base_/torch_np.numpy_tests.lib.test_shape_base_-9d5ead9cf582e036.xml 2025-12-04T10:04:05.4388434Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 10:04:05.438484][3207.585016906] 2025-12-04T10:04:05.4389070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:05.4392569Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_getlimits.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 10:04:05.438962] 2025-12-04T10:04:09.0826284Z 2025-12-04T10:04:09.0828065Z torch_np/numpy_tests/core/test_getlimits 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_getlimits_1.1_233f3d0c302c1c73_.log 2025-12-04T10:04:09.0830017Z Running 0 items in this shard: 2025-12-04T10:04:09.0830343Z 2025-12-04T10:04:09.0831079Z Finished torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 10:04:09.082393][3211.228928319], took 0.06min 2025-12-04T10:04:09.1172390Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_getlimits/torch_np.numpy_tests.core.test_getlimits-9d9ab200c6be8592.xml 2025-12-04T10:04:09.1482030Z Running torch_np/test_ndarray_methods 1/1 ... [2025-12-04 10:04:09.147853][3211.294387331] 2025-12-04T10:04:09.1482919Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:09.1487139Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ndarray_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 10:04:09.148298] 2025-12-04T10:04:13.4647099Z 2025-12-04T10:04:13.4648599Z torch_np/test_ndarray_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ndarray_methods_1.1_539460098f930daf_.log 2025-12-04T10:04:13.4649526Z Running 0 items in this shard: 2025-12-04T10:04:13.4649809Z 2025-12-04T10:04:13.4650187Z Finished torch_np/test_ndarray_methods 1/1 ... [2025-12-04 10:04:13.464408][3215.610936427], took 0.07min 2025-12-04T10:04:13.4999758Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ndarray_methods/torch_np.test_ndarray_methods-0c0dc79a4102ef0b.xml 2025-12-04T10:04:13.5291784Z Running test_view_ops 1/1 ... [2025-12-04 10:04:13.528766][3215.675299211] 2025-12-04T10:04:13.5292581Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:13.5296195Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_view_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 10:04:13.529212] 2025-12-04T10:04:17.5769558Z 2025-12-04T10:04:17.5770905Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_8bfee8ab1b2e56e9_.log 2025-12-04T10:04:17.5772163Z Running 0 items in this shard: 2025-12-04T10:04:17.5772480Z 2025-12-04T10:04:17.5772904Z Finished test_view_ops 1/1 ... [2025-12-04 10:04:17.576726][3219.723260085], took 0.07min 2025-12-04T10:04:17.6115803Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_view_ops/test_view_ops-233e212a0d888fff.xml 2025-12-04T10:04:17.6411584Z Running test_type_info 1/1 ... [2025-12-04 10:04:17.640757][3219.787290335] 2025-12-04T10:04:17.6412328Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:17.6416173Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_info.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 10:04:17.641213] 2025-12-04T10:04:21.3322519Z 2025-12-04T10:04:21.3323508Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_45e0f3194f8feacf_.log 2025-12-04T10:04:21.3324352Z Running 0 items in this shard: 2025-12-04T10:04:21.3324551Z 2025-12-04T10:04:21.3324820Z Finished test_type_info 1/1 ... [2025-12-04 10:04:21.332010][3223.478542996], took 0.06min 2025-12-04T10:04:21.3672212Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_info/test_type_info-b579d1981e3b2cd8.xml 2025-12-04T10:04:21.3986348Z Running functorch/test_aotdispatch 1/1 ... [2025-12-04 10:04:21.398291][3223.544824069] 2025-12-04T10:04:21.3986898Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:21.3990645Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.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 10:04:21.398749] 2025-12-04T10:04:28.5184702Z 2025-12-04T10:04:28.5185753Z functorch/test_aotdispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.1_44b8a51a221994bc_.log 2025-12-04T10:04:28.5186666Z Running 0 items in this shard: 2025-12-04T10:04:28.5186880Z 2025-12-04T10:04:28.5187228Z Finished functorch/test_aotdispatch 1/1 ... [2025-12-04 10:04:28.518153][3230.664688689], took 0.12min 2025-12-04T10:04:28.5532936Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-78e29026a44fc885.xml 2025-12-04T10:04:28.6213866Z Running test_cuda_multigpu 1/1 ... [2025-12-04 10:04:28.620981][3230.767514533] 2025-12-04T10:04:28.6214644Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:28.6218847Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:28.621461] 2025-12-04T10:04:32.7807151Z 2025-12-04T10:04:32.7808547Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_0388b162bfda3241_.log 2025-12-04T10:04:32.7810058Z Running 0 items in this shard: 2025-12-04T10:04:32.7810420Z 2025-12-04T10:04:32.7810944Z Finished test_cuda_multigpu 1/1 ... [2025-12-04 10:04:32.780482][3234.927016639], took 0.07min 2025-12-04T10:04:32.8154374Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-7d5c7a163d0c0ef4.xml 2025-12-04T10:04:32.8389017Z Running test_unary_ufuncs 1/1 ... [2025-12-04 10:04:32.838528][3234.985061278] 2025-12-04T10:04:32.8389844Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:32.8393903Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:32.838978] 2025-12-04T10:04:38.0314735Z 2025-12-04T10:04:38.0315896Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_f60fa1809c34a046_.log 2025-12-04T10:04:38.0316713Z Running 0 items in this shard: 2025-12-04T10:04:38.0316911Z 2025-12-04T10:04:38.0317199Z Finished test_unary_ufuncs 1/1 ... [2025-12-04 10:04:38.031253][3240.177785976], took 0.09min 2025-12-04T10:04:38.0668070Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-1d782e90ad79f50d.xml 2025-12-04T10:04:38.0916760Z Running test_type_promotion 1/1 ... [2025-12-04 10:04:38.091375][3240.237907742] 2025-12-04T10:04:38.0917322Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:38.0920796Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_promotion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:38.091794] 2025-12-04T10:04:42.2140486Z 2025-12-04T10:04:42.2141829Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_56968720fb6b40d1_.log 2025-12-04T10:04:42.2142660Z Running 0 items in this shard: 2025-12-04T10:04:42.2142871Z 2025-12-04T10:04:42.2143162Z Finished test_type_promotion 1/1 ... [2025-12-04 10:04:42.213765][3244.360299387], took 0.07min 2025-12-04T10:04:42.2489338Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_promotion/test_type_promotion-23da079d2e8c4d81.xml 2025-12-04T10:04:44.0832764Z W1204 10:04:44.082000 16313 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:04:44.1014697Z W1204 10:04:44.100000 16314 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:04:44.1401765Z W1204 10:04:44.139000 16315 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:04:45.5596625Z Running inductor/test_aot_inductor 1/1 ... [2025-12-04 10:04:45.559191][3247.705723266] 2025-12-04T10:04:45.5597203Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:45.5600463Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:45.559668] 2025-12-04T10:04:45.5655622Z Running inductor/test_kernel_benchmark 1/1 ... [2025-12-04 10:04:45.565195][3247.711729045] 2025-12-04T10:04:45.5656273Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:45.5659859Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_kernel_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 10:04:45.565649] 2025-12-04T10:04:45.6172936Z Running inductor/test_pattern_matcher 1/1 ... [2025-12-04 10:04:45.616814][3247.763345945] 2025-12-04T10:04:45.6173591Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:45.6177071Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pattern_matcher.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 10:04:45.617349] 2025-12-04T10:04:54.7647284Z 2025-12-04T10:04:54.7648814Z inductor/test_kernel_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_benchmark_1.1_dde7ebfa929346f2_.log 2025-12-04T10:04:54.7650304Z 2025-12-04T10:04:54.7650667Z Finished inductor/test_kernel_benchmark 1/1 ... [2025-12-04 10:04:54.764654][3256.911186585], took 0.15min 2025-12-04T10:04:56.7400701Z 2025-12-04T10:04:56.7401903Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_8d9a9f7c946f8785_.log 2025-12-04T10:04:56.7402723Z 2025-12-04T10:04:56.7403075Z Finished inductor/test_pattern_matcher 1/1 ... [2025-12-04 10:04:56.739928][3258.886460188], took 0.19min 2025-12-04T10:04:57.5153223Z W1204 10:04:57.514000 16679 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:04:58.9173581Z 2025-12-04T10:04:58.9174770Z inductor/test_aot_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_1.1_67ac9e1a759f5bad_.log 2025-12-04T10:04:58.9176027Z 2025-12-04T10:04:58.9176534Z Finished inductor/test_aot_inductor 1/1 ... [2025-12-04 10:04:58.917256][3261.063782092], took 0.22min 2025-12-04T10:04:59.0853865Z Running inductor/test_cudagraph_trees 1/1 ... [2025-12-04 10:04:59.084904][3261.231436802] 2025-12-04T10:04:59.0854440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:59.0856932Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:59.085389] 2025-12-04T10:04:59.5993483Z W1204 10:04:59.598000 16711 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:05:01.1387773Z Running dynamo/test_logging 1/1 ... [2025-12-04 10:05:01.138320][3263.28485276] 2025-12-04T10:05:01.1390037Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:01.1391413Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_logging.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 10:05:01.138792] 2025-12-04T10:05:01.7372581Z W1204 10:05:01.736000 16744 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:05:03.2851289Z Running dynamo/test_repros 1/1 ... [2025-12-04 10:05:03.284655][3265.43118807] 2025-12-04T10:05:03.2851873Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:03.2854482Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_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 10:05:03.285126] 2025-12-04T10:05:08.5049640Z 2025-12-04T10:05:08.5051435Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_6e1fdcf07466d042_.log 2025-12-04T10:05:08.5052690Z 2025-12-04T10:05:08.5053038Z Finished inductor/test_cudagraph_trees 1/1 ... [2025-12-04 10:05:08.504809][3270.65133926], took 0.16min 2025-12-04T10:05:11.1047955Z 2025-12-04T10:05:11.1049515Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_2f311b447215644d_.log 2025-12-04T10:05:11.1051142Z Running 0 items in this shard: 2025-12-04T10:05:11.1051553Z 2025-12-04T10:05:11.1052045Z Finished dynamo/test_logging 1/1 ... [2025-12-04 10:05:11.104728][3273.251253462], took 0.17min 2025-12-04T10:05:11.1196841Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_logging/dynamo.test_logging-5f2b1672911fbcba.xml 2025-12-04T10:05:11.5172584Z W1204 10:05:11.516000 16994 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:05:13.2329199Z Running inductor/test_cuda_select_algorithm 1/1 ... [2025-12-04 10:05:13.232423][3275.378956621] 2025-12-04T10:05:13.2330288Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:13.2333807Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_select_algorithm.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 10:05:13.232962] 2025-12-04T10:05:14.0573107Z W1204 10:05:14.056000 17011 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:05:15.6058591Z Running inductor/test_flex_decoding 1/1 ... [2025-12-04 10:05:15.605396][3277.7519276] 2025-12-04T10:05:15.6059538Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:15.6063318Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_decoding.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 10:05:15.605913] 2025-12-04T10:05:19.9244843Z 2025-12-04T10:05:19.9246307Z inductor/test_flex_decoding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_decoding_1.1_1c52b11a7f4539a9_.log 2025-12-04T10:05:19.9247821Z Running 0 items in this shard: 2025-12-04T10:05:19.9248035Z 2025-12-04T10:05:19.9248388Z Finished inductor/test_flex_decoding 1/1 ... [2025-12-04 10:05:19.924363][3282.070896392], took 0.07min 2025-12-04T10:05:19.9395603Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_decoding/inductor.test_flex_decoding-9d882358e00129f6.xml 2025-12-04T10:05:22.7344118Z W1204 10:05:22.733000 17154 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:05:23.0894614Z 2025-12-04T10:05:23.0896203Z inductor/test_cuda_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_select_algorithm_1.1_e22561a64f20e988_.log 2025-12-04T10:05:23.0897207Z Running 0 items in this shard: 2025-12-04T10:05:23.0897407Z 2025-12-04T10:05:23.0897776Z Finished inductor/test_cuda_select_algorithm 1/1 ... [2025-12-04 10:05:23.089334][3285.235861427], took 0.16min 2025-12-04T10:05:23.1039389Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-3321ec2050cfb696.xml 2025-12-04T10:05:24.2429136Z Running inductor/test_native_matmul 1/1 ... [2025-12-04 10:05:24.242195][3286.38872061] 2025-12-04T10:05:24.2429761Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:24.2432810Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_native_matmul.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:24.242866] 2025-12-04T10:05:26.0105743Z W1204 10:05:26.009000 17171 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:05:27.5465408Z Running inductor/test_aot_inductor_package 1/1 ... [2025-12-04 10:05:27.546072][3289.692605635] 2025-12-04T10:05:27.5466028Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:27.5469104Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_package.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 10:05:27.546566] 2025-12-04T10:05:29.3382647Z 2025-12-04T10:05:29.3383624Z dynamo/test_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_repros_1.1_1d29d89dbb301c37_.log 2025-12-04T10:05:29.3480357Z Running 300 items in this shard: test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, 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test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename 2025-12-04T10:05:29.3574447Z 2025-12-04T10:05:29.3574755Z Finished dynamo/test_repros 1/1 ... [2025-12-04 10:05:29.338637][3291.48516973], took 0.43min 2025-12-04T10:05:29.3576053Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_repros/dynamo.test_repros-fff8a062073c8694.xml 2025-12-04T10:05:32.1535983Z W1204 10:05:32.152000 17297 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:05:33.6633480Z Running inductor/test_online_softmax 1/1 ... [2025-12-04 10:05:33.662829][3295.809360595] 2025-12-04T10:05:33.6634329Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:33.6637518Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_online_softmax.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 10:05:33.663356] 2025-12-04T10:05:33.9331035Z 2025-12-04T10:05:33.9332163Z inductor/test_native_matmul 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_native_matmul_1.1_459b57b49fdd0078_.log 2025-12-04T10:05:33.9332966Z 2025-12-04T10:05:33.9333314Z Finished inductor/test_native_matmul 1/1 ... [2025-12-04 10:05:33.932939][3296.079470651], took 0.16min 2025-12-04T10:05:36.8186364Z W1204 10:05:36.817000 17439 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:05:36.9111527Z 2025-12-04T10:05:36.9112904Z inductor/test_aot_inductor_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_package_1.1_3d10f21d5cf6b58c_.log 2025-12-04T10:05:36.9113779Z 2025-12-04T10:05:36.9114165Z Finished inductor/test_aot_inductor_package 1/1 ... [2025-12-04 10:05:36.911014][3299.057546275], took 0.16min 2025-12-04T10:05:38.3058526Z Running inductor/test_unbacked_symints 1/1 ... [2025-12-04 10:05:38.305336][3300.451865016] 2025-12-04T10:05:38.3059370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:38.3072338Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_unbacked_symints.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 10:05:38.305955] 2025-12-04T10:05:39.7931756Z W1204 10:05:39.792000 17457 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:05:41.3625759Z Running inductor/test_mix_order_reduction 1/1 ... [2025-12-04 10:05:41.362068][3303.508601096] 2025-12-04T10:05:41.3626520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:41.3629516Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mix_order_reduction.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:41.362541] 2025-12-04T10:05:43.2817986Z 2025-12-04T10:05:43.2819647Z inductor/test_online_softmax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_online_softmax_1.1_f73f6a61d6619781_.log 2025-12-04T10:05:43.2820473Z 2025-12-04T10:05:43.2820845Z Finished inductor/test_online_softmax 1/1 ... [2025-12-04 10:05:43.281543][3305.428065889], took 0.16min 2025-12-04T10:05:46.0271276Z W1204 10:05:46.026000 17675 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:05:47.6673776Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 10:05:47.666900][3309.8134333] 2025-12-04T10:05:47.6674466Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:47.6676879Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:47.667378] 2025-12-04T10:05:47.9394745Z 2025-12-04T10:05:47.9396140Z inductor/test_unbacked_symints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_unbacked_symints_1.1_55b1b666959cfb61_.log 2025-12-04T10:05:47.9397109Z Running 0 items in this shard: 2025-12-04T10:05:47.9397327Z 2025-12-04T10:05:47.9397673Z Finished inductor/test_unbacked_symints 1/1 ... [2025-12-04 10:05:47.939474][3310.086006969], took 0.16min 2025-12-04T10:05:47.9647905Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_unbacked_symints/inductor.test_unbacked_symints-6f30befae58b1d3f.xml 2025-12-04T10:05:48.5277713Z Uploading artifacts took 0.46 seconds 2025-12-04T10:05:50.7880776Z 2025-12-04T10:05:50.7882451Z inductor/test_mix_order_reduction 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mix_order_reduction_1.1_ceff69322aa3b3d0_.log 2025-12-04T10:05:50.7883326Z 2025-12-04T10:05:50.7883755Z Finished inductor/test_mix_order_reduction 1/1 ... [2025-12-04 10:05:50.787978][3312.934505332], took 0.16min 2025-12-04T10:05:50.7927690Z W1204 10:05:50.792000 17823 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:05:52.4066545Z Running test_varlen_attention 1/1 ... [2025-12-04 10:05:52.406076][3314.552606226] 2025-12-04T10:05:52.4067144Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:52.4070712Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_varlen_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:52.406669] 2025-12-04T10:05:53.6126427Z W1204 10:05:53.611000 17843 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:05:55.1251569Z Running test_matmul_cuda 1/1 ... [2025-12-04 10:05:55.124647][3317.271179146] 2025-12-04T10:05:55.1252480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:55.1254955Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_matmul_cuda.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 10:05:55.125117] 2025-12-04T10:05:56.6953882Z 2025-12-04T10:05:56.6955023Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_089571c73a6cce40_.log 2025-12-04T10:05:56.6956000Z Running 0 items in this shard: 2025-12-04T10:05:56.6956214Z 2025-12-04T10:05:56.6956541Z Finished test_varlen_attention 1/1 ... [2025-12-04 10:05:56.695385][3318.841915984], took 0.07min 2025-12-04T10:05:56.7107631Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-ee95249f94d2e0bf.xml 2025-12-04T10:05:56.9147641Z 2025-12-04T10:05:56.9149820Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_c2348e6de2d50200_.log 2025-12-04T10:05:56.9151656Z 2025-12-04T10:05:56.9152457Z Finished inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 10:05:56.914527][3319.061059607], took 0.15min 2025-12-04T10:05:59.6351651Z W1204 10:05:59.634000 17984 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:05:59.8322948Z W1204 10:05:59.831000 17985 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:06:01.1540222Z Running test_sparse 1/1 ... [2025-12-04 10:06:01.153512][3323.300044888] 2025-12-04T10:06:01.1540875Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:01.1543193Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse.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 10:06:01.153993] 2025-12-04T10:06:01.3052880Z Running higher_order_ops/test_local_map 1/1 ... [2025-12-04 10:06:01.304803][3323.451335651] 2025-12-04T10:06:01.3053591Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:01.3055940Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_local_map.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 10:06:01.305278] 2025-12-04T10:06:04.8399950Z 2025-12-04T10:06:04.8401480Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_479ea8f596ab93c9_.log 2025-12-04T10:06:04.8403009Z Running 0 items in this shard: 2025-12-04T10:06:04.8403386Z 2025-12-04T10:06:04.8403987Z Finished test_matmul_cuda 1/1 ... [2025-12-04 10:06:04.839894][3326.98642821], took 0.16min 2025-12-04T10:06:04.8641337Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_matmul_cuda/test_matmul_cuda-31e7a3822636b3a6.xml 2025-12-04T10:06:05.9501721Z 2025-12-04T10:06:05.9503235Z higher_order_ops/test_local_map 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_local_map_1.1_8a9acb677b43a1f1_.log 2025-12-04T10:06:05.9504666Z Running 0 items in this shard: 2025-12-04T10:06:05.9504954Z 2025-12-04T10:06:05.9505558Z Finished higher_order_ops/test_local_map 1/1 ... [2025-12-04 10:06:05.950166][3328.096694755], took 0.08min 2025-12-04T10:06:05.9662947Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sparse/test_sparse-89d04f1ec6df7b0d.xml 2025-12-04T10:06:05.9942099Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_local_map/higher_order_ops.test_local_map-d00d141a34dc7aaf.xml 2025-12-04T10:06:06.9639917Z 2025-12-04T10:06:06.9640880Z test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_1.1_9a3032a2002921b8_.log 2025-12-04T10:06:06.9641624Z Running 0 items in this shard: 2025-12-04T10:06:06.9641850Z 2025-12-04T10:06:06.9642100Z Finished test_sparse 1/1 ... [2025-12-04 10:06:06.963816][3329.110351942], took 0.10min 2025-12-04T10:06:07.5842710Z W1204 10:06:07.582000 18160 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:06:08.8676578Z W1204 10:06:08.866000 18176 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:06:09.1626073Z Running test_dataloader 1/1 ... [2025-12-04 10:06:09.162104][3331.308637257] 2025-12-04T10:06:09.1626766Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:09.1630126Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dataloader.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 10:06:09.162653] 2025-12-04T10:06:09.8381760Z W1204 10:06:09.837000 18193 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:06:10.3992816Z Running test_ops_jit 1/1 ... [2025-12-04 10:06:10.398813][3332.545345771] 2025-12-04T10:06:10.3993826Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:10.3996487Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_jit.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 10:06:10.399339] 2025-12-04T10:06:11.3465708Z Running test_linalg 1/1 ... [2025-12-04 10:06:11.346140][3333.492673218] 2025-12-04T10:06:11.3466214Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:11.3469375Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_linalg.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 10:06:11.346607] 2025-12-04T10:06:14.4244601Z 2025-12-04T10:06:14.4245612Z test_dataloader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_1.1_14e8bcacd45c8a54_.log 2025-12-04T10:06:14.4246408Z Running 0 items in this shard: 2025-12-04T10:06:14.4246623Z 2025-12-04T10:06:14.4246897Z Finished test_dataloader 1/1 ... [2025-12-04 10:06:14.424324][3336.570859223], took 0.09min 2025-12-04T10:06:14.4507572Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dataloader/test_dataloader-355028872d987614.xml 2025-12-04T10:06:16.0177371Z 2025-12-04T10:06:16.0178464Z test_ops_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.1_ceb498c2582dfdd3_.log 2025-12-04T10:06:16.0179359Z Running 0 items in this shard: 2025-12-04T10:06:16.0179562Z 2025-12-04T10:06:16.0179836Z Finished test_ops_jit 1/1 ... [2025-12-04 10:06:16.017615][3338.164147282], took 0.09min 2025-12-04T10:06:16.0349637Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-1979fe3e0c259f6e.xml 2025-12-04T10:06:16.0726414Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_linalg/test_linalg-204ba0bb6218bbc6.xml 2025-12-04T10:06:16.2434130Z 2025-12-04T10:06:16.2435345Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_d3972213a0f58172_.log 2025-12-04T10:06:16.2436108Z Running 0 items in this shard: 2025-12-04T10:06:16.2436309Z 2025-12-04T10:06:16.2436572Z Finished test_linalg 1/1 ... [2025-12-04 10:06:16.243243][3338.389778014], took 0.08min 2025-12-04T10:06:17.1665581Z W1204 10:06:17.165000 18277 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:06:18.7987285Z W1204 10:06:18.797000 18293 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:06:18.8093338Z Running functorch/test_ops 1/1 ... [2025-12-04 10:06:18.808997][3340.955528766] 2025-12-04T10:06:18.8093930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:18.8098083Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_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 10:06:18.809505] 2025-12-04T10:06:19.0250340Z W1204 10:06:19.024000 18294 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:06:20.3219568Z Running dynamo/test_dynamic_shapes 2/2 ... [2025-12-04 10:06:20.321460][3342.467992361] 2025-12-04T10:06:20.3220147Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:20.3223480Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:20.321973] 2025-12-04T10:06:20.5669920Z Running inductor/test_cpu_repro 1/4 ... [2025-12-04 10:06:20.566481][3342.713012831] 2025-12-04T10:06:20.5670504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:20.5673952Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'not serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:20.567049] 2025-12-04T10:06:24.6392645Z 2025-12-04T10:06:24.6394427Z functorch/test_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.1_a92cd89cea95fb7e_.log 2025-12-04T10:06:24.6395300Z Running 0 items in this shard: 2025-12-04T10:06:24.6395503Z 2025-12-04T10:06:24.6395889Z Finished functorch/test_ops 1/1 ... [2025-12-04 10:06:24.639056][3346.785584011], took 0.10min 2025-12-04T10:06:24.6577460Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-385216369e28b092.xml 2025-12-04T10:06:27.4866474Z W1204 10:06:27.485000 18510 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:06:29.0199157Z Running inductor/test_cpu_repro 3/4 ... [2025-12-04 10:06:29.019230][3351.165757331] 2025-12-04T10:06:29.0200383Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:29.0206103Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'not serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:29.019988] 2025-12-04T10:06:33.3945669Z 2025-12-04T10:06:33.3946958Z inductor/test_cpu_repro 1/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_1.4_8fc0d6ed1c3702b9_.log 2025-12-04T10:06:33.3947868Z Running 0 items in this shard: 2025-12-04T10:06:33.3948065Z 2025-12-04T10:06:33.3948388Z Finished inductor/test_cpu_repro 1/4 ... [2025-12-04 10:06:33.394487][3355.541019149], took 0.21min 2025-12-04T10:06:33.4117204Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-5b3510bd2d06bb3d.xml 2025-12-04T10:06:35.5845704Z 2025-12-04T10:06:35.5847136Z dynamo/test_dynamic_shapes 2/2 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_2.2_8c3440b275202f5d_.log 2025-12-04T10:06:35.5848052Z Running 0 items in this shard: 2025-12-04T10:06:35.5848267Z 2025-12-04T10:06:35.5848599Z Finished dynamo/test_dynamic_shapes 2/2 ... [2025-12-04 10:06:35.584554][3357.731086034], took 0.25min 2025-12-04T10:06:35.6020516Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-fc579fe2feb7df89.xml 2025-12-04T10:06:36.2855222Z W1204 10:06:36.284000 18703 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:06:37.8586772Z Running inductor/test_smoke 1/1 ... [2025-12-04 10:06:37.858196][3360.004729144] 2025-12-04T10:06:37.8587335Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:37.8590814Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:37.858750] 2025-12-04T10:06:38.4138983Z W1204 10:06:38.413000 18736 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:06:39.9267817Z Running inductor/test_custom_lowering 1/1 ... [2025-12-04 10:06:39.926277][3362.072809526] 2025-12-04T10:06:39.9268398Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:39.9271400Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_lowering.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 10:06:39.926813] 2025-12-04T10:06:40.5292428Z 2025-12-04T10:06:40.5294053Z inductor/test_cpu_repro 3/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_3.4_c7ea2d3d29410d11_.log 2025-12-04T10:06:40.5295281Z Running 0 items in this shard: 2025-12-04T10:06:40.5295547Z 2025-12-04T10:06:40.5296044Z Finished inductor/test_cpu_repro 3/4 ... [2025-12-04 10:06:40.529031][3362.675562022], took 0.19min 2025-12-04T10:06:40.5585179Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-5a6aee0105b65db1.xml 2025-12-04T10:06:43.3321910Z W1204 10:06:43.331000 18786 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:06:44.9218693Z Running inductor/test_perf 1/1 ... [2025-12-04 10:06:44.921382][3367.067913779] 2025-12-04T10:06:44.9219249Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:44.9222231Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_perf.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 10:06:44.921914] 2025-12-04T10:06:47.2981706Z 2025-12-04T10:06:47.2982733Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_4612030343df587c_.log 2025-12-04T10:06:47.2983464Z 2025-12-04T10:06:47.2983774Z Finished inductor/test_smoke 1/1 ... [2025-12-04 10:06:47.298048][3369.444581326], took 0.16min 2025-12-04T10:06:49.5597558Z 2025-12-04T10:06:49.5598661Z inductor/test_custom_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_lowering_1.1_a071f03865197c65_.log 2025-12-04T10:06:49.5599581Z Running 0 items in this shard: 2025-12-04T10:06:49.5599798Z 2025-12-04T10:06:49.5600138Z Finished inductor/test_custom_lowering 1/1 ... [2025-12-04 10:06:49.559703][3371.70623238], took 0.16min 2025-12-04T10:06:49.5783887Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_lowering/inductor.test_custom_lowering-0f31b136a0a05999.xml 2025-12-04T10:06:50.1024741Z W1204 10:06:50.101000 19004 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:06:51.6646102Z Running inductor/test_fused_attention 1/1 ... [2025-12-04 10:06:51.664107][3373.810638994] 2025-12-04T10:06:51.6647120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:51.6649964Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:51.664587] 2025-12-04T10:06:52.4659248Z W1204 10:06:52.465000 19098 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:06:53.9618876Z Running inductor/test_binary_folding 1/1 ... [2025-12-04 10:06:53.961373][3376.107906352] 2025-12-04T10:06:53.9619469Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:53.9622860Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_binary_folding.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 10:06:53.961883] 2025-12-04T10:06:54.3766448Z 2025-12-04T10:06:54.3767731Z inductor/test_perf 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_perf_1.1_0856ea56c0cd3812_.log 2025-12-04T10:06:54.3768440Z 2025-12-04T10:06:54.3768737Z Finished inductor/test_perf 1/1 ... [2025-12-04 10:06:54.376468][3376.523001156], took 0.16min 2025-12-04T10:06:57.1655251Z W1204 10:06:57.164000 19164 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:06:58.6948688Z Running inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 10:06:58.694405][3380.840936877] 2025-12-04T10:06:58.6949337Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:58.6952528Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:58.694927] 2025-12-04T10:07:01.3434245Z 2025-12-04T10:07:01.3435807Z inductor/test_fused_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fused_attention_1.1_dfb6566275eb73e0_.log 2025-12-04T10:07:01.3436750Z Running 0 items in this shard: 2025-12-04T10:07:01.3436948Z 2025-12-04T10:07:01.3437289Z Finished inductor/test_fused_attention 1/1 ... [2025-12-04 10:07:01.343334][3383.489868628], took 0.16min 2025-12-04T10:07:01.3611678Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fused_attention/inductor.test_fused_attention-43213bbbce17c684.xml 2025-12-04T10:07:03.7447205Z 2025-12-04T10:07:03.7448763Z inductor/test_binary_folding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_binary_folding_1.1_30aa1f44fd76e0e1_.log 2025-12-04T10:07:03.7449704Z Running 0 items in this shard: 2025-12-04T10:07:03.7449905Z 2025-12-04T10:07:03.7450242Z Finished inductor/test_binary_folding 1/1 ... [2025-12-04 10:07:03.744608][3385.891141113], took 0.16min 2025-12-04T10:07:03.7692564Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_binary_folding/inductor.test_binary_folding-2f326d844ae8225a.xml 2025-12-04T10:07:04.1871880Z W1204 10:07:04.186000 19383 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:07:05.6979557Z Running inductor/test_mkldnn_pattern_matcher 2/2 ... [2025-12-04 10:07:05.697453][3387.843985186] 2025-12-04T10:07:05.6980225Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:05.6982668Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:05.697914] 2025-12-04T10:07:06.6286800Z W1204 10:07:06.627000 19476 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:07:08.1240873Z Running inductor/test_inductor_freezing 1/1 ... [2025-12-04 10:07:08.123636][3390.27016863] 2025-12-04T10:07:08.1241467Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:08.1245990Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_freezing.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 10:07:08.124172] 2025-12-04T10:07:16.0368287Z 2025-12-04T10:07:16.0369489Z inductor/test_mkldnn_pattern_matcher 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_2.2_7a12c5dfa5d2ac2f_.log 2025-12-04T10:07:16.0370508Z Running 0 items in this shard: 2025-12-04T10:07:16.0370705Z 2025-12-04T10:07:16.0371076Z Finished inductor/test_mkldnn_pattern_matcher 2/2 ... [2025-12-04 10:07:16.036728][3398.183261117], took 0.17min 2025-12-04T10:07:16.0555064Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-209adedd03f47534.xml 2025-12-04T10:07:18.1090519Z 2025-12-04T10:07:18.1091629Z inductor/test_inductor_freezing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_freezing_1.1_bd3897c873e3c948_.log 2025-12-04T10:07:18.1133902Z Running 100 items in this shard: test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu 2025-12-04T10:07:18.1174314Z 2025-12-04T10:07:18.1174696Z Finished inductor/test_inductor_freezing 1/1 ... [2025-12-04 10:07:18.109326][3400.255856501], took 0.17min 2025-12-04T10:07:18.1289968Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_freezing/inductor.test_inductor_freezing-bb0463b732974bd6.xml 2025-12-04T10:07:18.8804809Z W1204 10:07:18.879000 19878 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:07:20.4300329Z Running dynamo/test_unspec 1/1 ... [2025-12-04 10:07:20.429505][3402.576036712] 2025-12-04T10:07:20.4301158Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:20.4305614Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_unspec.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 10:07:20.430071] 2025-12-04T10:07:20.9790252Z W1204 10:07:20.978000 19943 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:07:22.4619622Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 10:07:22.461524][3404.608057582] 2025-12-04T10:07:22.4620223Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:22.4622933Z Executing ['/opt/conda/envs/py_3.10/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 10:07:22.461993] 2025-12-04T10:07:25.1320189Z 2025-12-04T10:07:25.1321140Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_f3b5ab3702291ebb_.log 2025-12-04T10:07:25.1321960Z Running 0 items in this shard: 2025-12-04T10:07:25.1322158Z 2025-12-04T10:07:25.1322448Z Finished dynamo/test_unspec 1/1 ... [2025-12-04 10:07:25.131886][3407.278419967], took 0.08min 2025-12-04T10:07:25.1509488Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_unspec/dynamo.test_unspec-df60cb396e14f284.xml 2025-12-04T10:07:27.9555078Z W1204 10:07:27.954000 20291 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:07:29.4959789Z Running inductor/test_mmdecomp 1/1 ... [2025-12-04 10:07:29.495432][3411.641964595] 2025-12-04T10:07:29.4960673Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:29.4962567Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mmdecomp.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 10:07:29.495912] 2025-12-04T10:07:33.1505653Z 2025-12-04T10:07:33.1507159Z 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_55ab4d602758460e_.log 2025-12-04T10:07:33.1508207Z Running 0 items in this shard: 2025-12-04T10:07:33.1508406Z 2025-12-04T10:07:33.1508870Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 10:07:33.150362][3415.296890117], took 0.18min 2025-12-04T10:07:33.1783200Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_higher_order_ops/dynamo.test_higher_order_ops-7569d27908fc295d.xml 2025-12-04T10:07:35.9687330Z W1204 10:07:35.967000 20724 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:07:37.5348238Z Running dynamo/test_ctx_manager 1/1 ... [2025-12-04 10:07:37.534346][3419.680878742] 2025-12-04T10:07:37.5348815Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:37.5351790Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_ctx_manager.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 10:07:37.534822] 2025-12-04T10:07:39.0677308Z 2025-12-04T10:07:39.0678675Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_e47d80eaedeabec8_.log 2025-12-04T10:07:39.0679608Z Running 0 items in this shard: 2025-12-04T10:07:39.0679826Z 2025-12-04T10:07:39.0680132Z Finished inductor/test_mmdecomp 1/1 ... [2025-12-04 10:07:39.067597][3421.214129593], took 0.16min 2025-12-04T10:07:39.0870968Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mmdecomp/inductor.test_mmdecomp-c903100232b27059.xml 2025-12-04T10:07:41.8904811Z W1204 10:07:41.889000 20980 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:07:43.4346734Z Running dynamo/test_exc 1/1 ... [2025-12-04 10:07:43.434200][3425.580731804] 2025-12-04T10:07:43.4347254Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:43.4350134Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_exc.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 10:07:43.434684] 2025-12-04T10:07:47.3303499Z 2025-12-04T10:07:47.3305138Z dynamo/test_ctx_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_ctx_manager_1.1_589559caaf363363_.log 2025-12-04T10:07:47.3306093Z Running 0 items in this shard: 2025-12-04T10:07:47.3306308Z 2025-12-04T10:07:47.3306615Z Finished dynamo/test_ctx_manager 1/1 ... [2025-12-04 10:07:47.330255][3429.476787195], took 0.16min 2025-12-04T10:07:47.3506748Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_ctx_manager/dynamo.test_ctx_manager-8db839fdad2385a6.xml 2025-12-04T10:07:47.4312480Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_exc/dynamo.test_exc-985cddd03b1422ae.xml 2025-12-04T10:07:47.7737561Z 2025-12-04T10:07:47.7740134Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_a37ec661c8ebc411_.log 2025-12-04T10:07:47.7741095Z Running 0 items in this shard: 2025-12-04T10:07:47.7741313Z 2025-12-04T10:07:47.7741595Z Finished dynamo/test_exc 1/1 ... [2025-12-04 10:07:47.773635][3429.920164672], took 0.07min 2025-12-04T10:07:50.1257261Z W1204 10:07:50.124000 21479 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:07:50.6217196Z W1204 10:07:50.620000 21507 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:07:51.7047743Z Running dynamo/test_misc 1/1 ... [2025-12-04 10:07:51.704231][3433.85076419] 2025-12-04T10:07:51.7048582Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:51.7050951Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_misc.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 10:07:51.704732] 2025-12-04T10:07:52.2310671Z Running inductor/test_aot_inductor_arrayref 1/2 ... [2025-12-04 10:07:52.230532][3434.37706445] 2025-12-04T10:07:52.2311735Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:52.2314943Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:52.231056] 2025-12-04T10:07:59.1937527Z 2025-12-04T10:07:59.1939351Z dynamo/test_misc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_misc_1.1_c73bcf28be875fbb_.log 2025-12-04T10:07:59.1947747Z Running 0 items in this shard: 2025-12-04T10:07:59.1948208Z 2025-12-04T10:07:59.1948902Z Finished dynamo/test_misc 1/1 ... [2025-12-04 10:07:59.193388][3441.339916453], took 0.12min 2025-12-04T10:07:59.2236670Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_misc/dynamo.test_misc-83245c091966a3eb.xml 2025-12-04T10:08:01.9758419Z W1204 10:08:01.974000 22002 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:08:02.8822938Z 2025-12-04T10:08:02.8824469Z inductor/test_aot_inductor_arrayref 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_arrayref_1.2_6c9a13168364cf13_.log 2025-12-04T10:08:02.8863093Z Running 50 items in this shard: test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation 2025-12-04T10:08:02.8900098Z 2025-12-04T10:08:02.8900471Z Finished inductor/test_aot_inductor_arrayref 1/2 ... [2025-12-04 10:08:02.882332][3445.02886165], took 0.18min 2025-12-04T10:08:02.9025908Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-2153172bba470b5c.xml 2025-12-04T10:08:03.4904011Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-12-04 10:08:03.489876][3445.636409276] 2025-12-04T10:08:03.4904746Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:03.4907966Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.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 10:08:03.490396] 2025-12-04T10:08:05.7201369Z W1204 10:08:05.719000 22164 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:08:07.2664826Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 10:08:07.266030][3449.412562798] 2025-12-04T10:08:07.2665502Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:07.2668390Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_strided_blocks.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 10:08:07.266490] 2025-12-04T10:08:13.4849490Z 2025-12-04T10:08:13.4851109Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_d9b6902dc578fd72_.log 2025-12-04T10:08:13.4852452Z 2025-12-04T10:08:13.4852935Z Finished inductor/test_cpu_cpp_wrapper 1/1 ... [2025-12-04 10:08:13.484825][3455.63135745], took 0.17min 2025-12-04T10:08:16.2827528Z W1204 10:08:16.281000 22830 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:08:16.9099984Z 2025-12-04T10:08:16.9101522Z inductor/test_torchinductor_strided_blocks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_strided_blocks_1.1_80542c3ae1371276_.log 2025-12-04T10:08:16.9102455Z 2025-12-04T10:08:16.9102894Z Finished inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 10:08:16.909862][3459.056395662], took 0.16min 2025-12-04T10:08:17.8640649Z Running inductor/test_halide 1/1 ... [2025-12-04 10:08:17.863621][3460.010153548] 2025-12-04T10:08:17.8641186Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:17.8645140Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_halide.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 10:08:17.864182] 2025-12-04T10:08:19.7310376Z W1204 10:08:19.730000 22986 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:08:21.2583501Z Running inductor/test_pad_mm 1/1 ... [2025-12-04 10:08:21.257906][3463.404439057] 2025-12-04T10:08:21.2584439Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:21.2587486Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pad_mm.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 10:08:21.258356] 2025-12-04T10:08:27.6092266Z 2025-12-04T10:08:27.6093520Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_4e7de23ebae63db2_.log 2025-12-04T10:08:27.6094595Z 2025-12-04T10:08:27.6095017Z Finished inductor/test_halide 1/1 ... [2025-12-04 10:08:27.609186][3469.755716647], took 0.16min 2025-12-04T10:08:30.4431123Z W1204 10:08:30.442000 23610 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:08:30.7697597Z 2025-12-04T10:08:30.7698642Z inductor/test_pad_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pad_mm_1.1_eb18e39d49709f5b_.log 2025-12-04T10:08:30.7699375Z 2025-12-04T10:08:30.7699667Z Finished inductor/test_pad_mm 1/1 ... [2025-12-04 10:08:30.769617][3472.916151111], took 0.16min 2025-12-04T10:08:31.9469369Z Running inductor/test_triton_extension_backend 1/1 ... [2025-12-04 10:08:31.946504][3474.093035975] 2025-12-04T10:08:31.9469996Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:31.9473379Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:31.946998] 2025-12-04T10:08:33.5984058Z W1204 10:08:33.597000 23675 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:08:35.1465652Z Running inductor/test_b2b_gemm 1/1 ... [2025-12-04 10:08:35.146078][3477.292609501] 2025-12-04T10:08:35.1466437Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:35.1470325Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:35.146547] 2025-12-04T10:08:41.8215187Z 2025-12-04T10:08:41.8216678Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_2ce845c48a098563_.log 2025-12-04T10:08:41.8217731Z Running 0 items in this shard: 2025-12-04T10:08:41.8217935Z 2025-12-04T10:08:41.8218334Z Finished inductor/test_triton_extension_backend 1/1 ... [2025-12-04 10:08:41.821244][3483.967768814], took 0.16min 2025-12-04T10:08:41.8435391Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_triton_extension_backend/inductor.test_triton_extension_backend-7ce17d74552ce1ac.xml 2025-12-04T10:08:44.6688665Z W1204 10:08:44.667000 24342 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:08:44.7257537Z 2025-12-04T10:08:44.7258987Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_e2d816d8d0f51916_.log 2025-12-04T10:08:44.7259777Z 2025-12-04T10:08:44.7260087Z Finished inductor/test_b2b_gemm 1/1 ... [2025-12-04 10:08:44.725574][3486.872102831], took 0.16min 2025-12-04T10:08:46.2809736Z Running inductor/test_ck_backend 1/1 ... [2025-12-04 10:08:46.280372][3488.42688814] 2025-12-04T10:08:46.2810998Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:46.2819049Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_ck_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:46.281314] 2025-12-04T10:08:47.5798614Z W1204 10:08:47.579000 24455 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:08:49.0676845Z Running inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 10:08:49.067101][3491.213632821] 2025-12-04T10:08:49.0677784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:49.0680134Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_gpu_cpp_wrapper.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 10:08:49.067575] 2025-12-04T10:08:55.6884972Z 2025-12-04T10:08:55.6886265Z inductor/test_ck_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ck_backend_1.1_fd3f0f31b90b66c6_.log 2025-12-04T10:08:55.6887172Z 2025-12-04T10:08:55.6887620Z Finished inductor/test_ck_backend 1/1 ... [2025-12-04 10:08:55.688393][3497.834926257], took 0.16min 2025-12-04T10:08:58.5621481Z W1204 10:08:58.561000 25122 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:08:59.0844571Z 2025-12-04T10:08:59.0846045Z inductor/test_gpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_gpu_cpp_wrapper_1.1_879770177dd8636e_.log 2025-12-04T10:08:59.0846862Z 2025-12-04T10:08:59.0847203Z Finished inductor/test_gpu_cpp_wrapper 1/1 ... [2025-12-04 10:08:59.084291][3501.230825191], took 0.17min 2025-12-04T10:09:00.0365987Z Running inductor/test_autoheuristic 1/1 ... [2025-12-04 10:09:00.036084][3502.182616867] 2025-12-04T10:09:00.0366967Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:00.0369655Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_autoheuristic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:00.036582] 2025-12-04T10:09:01.8272893Z W1204 10:09:01.826000 25271 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:09:03.3651090Z Running inductor/test_metrics 1/1 ... [2025-12-04 10:09:03.364583][3505.511114911] 2025-12-04T10:09:03.3652062Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:03.3654697Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_metrics.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 10:09:03.365100] 2025-12-04T10:09:09.5232066Z 2025-12-04T10:09:09.5233689Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_ee9344edf89d36af_.log 2025-12-04T10:09:09.5234499Z 2025-12-04T10:09:09.5235145Z Finished inductor/test_autoheuristic 1/1 ... [2025-12-04 10:09:09.523094][3511.669628183], took 0.16min 2025-12-04T10:09:12.3349156Z W1204 10:09:12.334000 25854 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:09:12.8759819Z 2025-12-04T10:09:12.8761393Z inductor/test_metrics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_metrics_1.1_995705df7cf668a2_.log 2025-12-04T10:09:12.8762783Z 2025-12-04T10:09:12.8763335Z Finished inductor/test_metrics 1/1 ... [2025-12-04 10:09:12.875830][3515.022361342], took 0.16min 2025-12-04T10:09:13.8462158Z Running inductor/test_selective_lowering 1/1 ... [2025-12-04 10:09:13.845719][3515.992250622] 2025-12-04T10:09:13.8463069Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:13.8467231Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_selective_lowering.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 10:09:13.846288] 2025-12-04T10:09:15.6509736Z W1204 10:09:15.650000 26009 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:09:17.1219217Z Running inductor/test_cooperative_reductions 1/1 ... [2025-12-04 10:09:17.121462][3519.267996113] 2025-12-04T10:09:17.1219855Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:17.1223485Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:17.121972] 2025-12-04T10:09:23.3284659Z 2025-12-04T10:09:23.3286010Z inductor/test_selective_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_selective_lowering_1.1_85f842dea14b651c_.log 2025-12-04T10:09:23.3287018Z 2025-12-04T10:09:23.3287495Z Finished inductor/test_selective_lowering 1/1 ... [2025-12-04 10:09:23.328315][3525.474849885], took 0.16min 2025-12-04T10:09:26.1464715Z W1204 10:09:26.145000 26622 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:09:26.5576503Z 2025-12-04T10:09:26.5577870Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_91193768aecc3eb0_.log 2025-12-04T10:09:26.5578866Z 2025-12-04T10:09:26.5579386Z Finished inductor/test_cooperative_reductions 1/1 ... [2025-12-04 10:09:26.557420][3528.703954363], took 0.16min 2025-12-04T10:09:27.6996452Z Running inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 10:09:27.699138][3529.845670534] 2025-12-04T10:09:27.6997094Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:27.7001387Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_move_constructors_to_gpu.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 10:09:27.699662] 2025-12-04T10:09:29.4138580Z W1204 10:09:29.412000 26699 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:09:30.9524613Z Running inductor/test_inplace_padding 1/1 ... [2025-12-04 10:09:30.951960][3533.098491896] 2025-12-04T10:09:30.9525196Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:30.9528318Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inplace_padding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:30.952468] 2025-12-04T10:09:37.2246990Z 2025-12-04T10:09:37.2249182Z inductor/test_move_constructors_to_gpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_gpu_1.1_d1f3e512e6ed4cd9_.log 2025-12-04T10:09:37.2250850Z 2025-12-04T10:09:37.2251590Z Finished inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 10:09:37.224554][3539.371084252], took 0.16min 2025-12-04T10:09:40.0917442Z W1204 10:09:40.090000 27318 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:09:40.6444432Z 2025-12-04T10:09:40.6445792Z inductor/test_inplace_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplace_padding_1.1_121ec1ae6f65803a_.log 2025-12-04T10:09:40.6446631Z 2025-12-04T10:09:40.6447018Z Finished inductor/test_inplace_padding 1/1 ... [2025-12-04 10:09:40.644303][3542.790833683], took 0.16min 2025-12-04T10:09:41.6849561Z Running inductor/test_triton_wrapper 1/1 ... [2025-12-04 10:09:41.684429][3543.830960846] 2025-12-04T10:09:41.6850480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:41.6853009Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_wrapper.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 10:09:41.684916] 2025-12-04T10:09:43.4483363Z W1204 10:09:43.447000 27479 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:09:44.9643255Z Running inductor/test_quantization 1/1 ... [2025-12-04 10:09:44.963749][3547.110281266] 2025-12-04T10:09:44.9644200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:44.9646428Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_quantization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:44.964279] 2025-12-04T10:09:51.1503895Z 2025-12-04T10:09:51.1505205Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_9a592e1607196e74_.log 2025-12-04T10:09:51.1506057Z 2025-12-04T10:09:51.1506410Z Finished inductor/test_triton_wrapper 1/1 ... [2025-12-04 10:09:51.150315][3553.296843436], took 0.16min 2025-12-04T10:09:53.9686699Z W1204 10:09:53.967000 28050 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:09:54.4695809Z 2025-12-04T10:09:54.4697721Z inductor/test_quantization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_quantization_1.1_5251d1c9a12aad3a_.log 2025-12-04T10:09:54.4698704Z 2025-12-04T10:09:54.4699043Z Finished inductor/test_quantization 1/1 ... [2025-12-04 10:09:54.469451][3556.615984989], took 0.16min 2025-12-04T10:09:55.4760009Z Running inductor/test_inplacing_pass 1/1 ... [2025-12-04 10:09:55.475511][3557.622043922] 2025-12-04T10:09:55.4760677Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:55.4763452Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inplacing_pass.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 10:09:55.475997] 2025-12-04T10:09:57.2842710Z W1204 10:09:57.283000 28211 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:09:58.7851440Z Running inductor/test_split_cat_fx_passes 1/1 ... [2025-12-04 10:09:58.784704][3560.931237137] 2025-12-04T10:09:58.7852049Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:58.7855338Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_split_cat_fx_passes.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 10:09:58.785177] 2025-12-04T10:10:04.9558373Z 2025-12-04T10:10:04.9560216Z inductor/test_inplacing_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplacing_pass_1.1_c9a2b82cf9806e4e_.log 2025-12-04T10:10:04.9561046Z 2025-12-04T10:10:04.9561391Z Finished inductor/test_inplacing_pass 1/1 ... [2025-12-04 10:10:04.955759][3567.102292185], took 0.16min 2025-12-04T10:10:07.8940532Z W1204 10:10:07.893000 28830 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:10:08.3843771Z 2025-12-04T10:10:08.3844897Z inductor/test_split_cat_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_passes_1.1_f511a321cc9811d7_.log 2025-12-04T10:10:08.3845749Z 2025-12-04T10:10:08.3846101Z Finished inductor/test_split_cat_fx_passes 1/1 ... [2025-12-04 10:10:08.384180][3570.530714017], took 0.16min 2025-12-04T10:10:09.3862561Z Running inductor/test_memory_planning 1/1 ... [2025-12-04 10:10:09.385759][3571.532292173] 2025-12-04T10:10:09.3863182Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:09.3865947Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_memory_planning.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 10:10:09.386258] 2025-12-04T10:10:11.1659663Z W1204 10:10:11.165000 28989 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:10:12.6735170Z Running inductor/test_aot_inductor_utils 1/1 ... [2025-12-04 10:10:12.672928][3574.819460301] 2025-12-04T10:10:12.6736192Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:12.6739229Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_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 10:10:12.673506] 2025-12-04T10:10:19.1284141Z 2025-12-04T10:10:19.1285432Z inductor/test_memory_planning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_planning_1.1_e8f8df49235f6b4d_.log 2025-12-04T10:10:19.1286355Z 2025-12-04T10:10:19.1287226Z Finished inductor/test_memory_planning 1/1 ... [2025-12-04 10:10:19.128274][3581.274808053], took 0.16min 2025-12-04T10:10:21.9427409Z W1204 10:10:21.941000 29562 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:10:22.2129236Z 2025-12-04T10:10:22.2130540Z inductor/test_aot_inductor_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_utils_1.1_4f323aac953aed6a_.log 2025-12-04T10:10:22.2131714Z Running 0 items in this shard: 2025-12-04T10:10:22.2131963Z 2025-12-04T10:10:22.2132377Z Finished inductor/test_aot_inductor_utils 1/1 ... [2025-12-04 10:10:22.212797][3584.359329589], took 0.16min 2025-12-04T10:10:22.2343082Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_utils/inductor.test_aot_inductor_utils-041917e4e24cfe7f.xml 2025-12-04T10:10:23.5338168Z Running inductor/test_pallas 1/1 ... [2025-12-04 10:10:23.533216][3585.679748208] 2025-12-04T10:10:23.5339197Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:23.5341674Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pallas.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:23.533750] 2025-12-04T10:10:25.0578017Z W1204 10:10:25.057000 29717 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:10:26.5615548Z Running inductor/test_alignment 1/1 ... [2025-12-04 10:10:26.561051][3588.707584464] 2025-12-04T10:10:26.5616136Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:26.5618522Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_alignment.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 10:10:26.561540] 2025-12-04T10:10:33.5299293Z 2025-12-04T10:10:33.5300547Z inductor/test_pallas 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pallas_1.1_9dea3ecf21580778_.log 2025-12-04T10:10:33.5301332Z 2025-12-04T10:10:33.5301647Z Finished inductor/test_pallas 1/1 ... [2025-12-04 10:10:33.529704][3595.676233572], took 0.17min 2025-12-04T10:10:36.3657422Z W1204 10:10:36.364000 30342 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:10:36.4396837Z 2025-12-04T10:10:36.4397814Z inductor/test_alignment 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_alignment_1.1_2206f772217f294f_.log 2025-12-04T10:10:36.4398570Z 2025-12-04T10:10:36.4398901Z Finished inductor/test_alignment 1/1 ... [2025-12-04 10:10:36.439565][3598.586098207], took 0.16min 2025-12-04T10:10:37.9058199Z Running inductor/test_custom_partitioner_fn 1/1 ... [2025-12-04 10:10:37.904941][3600.05146604] 2025-12-04T10:10:37.9059522Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:37.9068468Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_partitioner_fn.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 10:10:37.906039] 2025-12-04T10:10:39.1700918Z W1204 10:10:39.169000 30407 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:10:40.6947358Z Running dynamo/test_python_dispatcher 1/1 ... [2025-12-04 10:10:40.694259][3602.840791793] 2025-12-04T10:10:40.6947972Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:40.6951427Z Executing ['/opt/conda/envs/py_3.10/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 10:10:40.694732] 2025-12-04T10:10:45.2540198Z 2025-12-04T10:10:45.2542111Z 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_38970cc96d095881_.log 2025-12-04T10:10:45.2543434Z Running 0 items in this shard: 2025-12-04T10:10:45.2543763Z 2025-12-04T10:10:45.2544351Z Finished dynamo/test_python_dispatcher 1/1 ... [2025-12-04 10:10:45.253762][3607.400288455], took 0.08min 2025-12-04T10:10:45.2785982Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_python_dispatcher/dynamo.test_python_dispatcher-d48225a5d7e8cb45.xml 2025-12-04T10:10:47.2484956Z 2025-12-04T10:10:47.2486680Z inductor/test_custom_partitioner_fn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_partitioner_fn_1.1_90ad21777cbdc216_.log 2025-12-04T10:10:47.2487564Z 2025-12-04T10:10:47.2487961Z Finished inductor/test_custom_partitioner_fn 1/1 ... [2025-12-04 10:10:47.248382][3609.394900051], took 0.16min 2025-12-04T10:10:48.0248781Z W1204 10:10:48.024000 30934 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:10:49.6464818Z Running export/test_swap 1/1 ... [2025-12-04 10:10:49.645995][3611.792528247] 2025-12-04T10:10:49.6465646Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:49.6468082Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_swap.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 10:10:49.646466] 2025-12-04T10:10:49.9746371Z W1204 10:10:49.973000 30999 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:10:51.5046769Z Running export/test_unflatten 1/1 ... [2025-12-04 10:10:51.504212][3613.650745969] 2025-12-04T10:10:51.5047321Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:51.5050307Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_unflatten.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 10:10:51.504738] 2025-12-04T10:10:53.4565962Z 2025-12-04T10:10:53.4567169Z export/test_swap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_swap_1.1_828937a4553204a6_.log 2025-12-04T10:10:53.4568169Z Running 0 items in this shard: 2025-12-04T10:10:53.4568490Z 2025-12-04T10:10:53.4568831Z Finished export/test_swap 1/1 ... [2025-12-04 10:10:53.456645][3615.603171676], took 0.06min 2025-12-04T10:10:53.4798421Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_swap/export.test_swap-87359125fb107d3b.xml 2025-12-04T10:10:55.5229871Z 2025-12-04T10:10:55.5231353Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_cbd2914c24c534a9_.log 2025-12-04T10:10:55.5232846Z Running 0 items in this shard: 2025-12-04T10:10:55.5233216Z 2025-12-04T10:10:55.5233712Z Finished export/test_unflatten 1/1 ... [2025-12-04 10:10:55.522827][3617.669358886], took 0.07min 2025-12-04T10:10:55.5445251Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_unflatten/export.test_unflatten-af771a609713d2d7.xml 2025-12-04T10:10:56.2956360Z W1204 10:10:56.294000 31290 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:10:57.8448527Z Running dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:10:57.844294][3619.990825758] 2025-12-04T10:10:57.8449355Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:57.8451399Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_verify_correctness.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 10:10:57.844803] 2025-12-04T10:10:58.3217673Z W1204 10:10:58.320000 31355 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:10:59.8224137Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 10:10:59.821950][3621.968483247] 2025-12-04T10:10:59.8224705Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:59.8226975Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:59.822383] 2025-12-04T10:11:02.1469743Z 2025-12-04T10:11:02.1471121Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_08fe9e22dea46873_.log 2025-12-04T10:11:02.1472599Z Running 0 items in this shard: 2025-12-04T10:11:02.1472812Z 2025-12-04T10:11:02.1473282Z Finished dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:11:02.146838][3624.29337025], took 0.07min 2025-12-04T10:11:02.1684031Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_verify_correctness/dynamo.test_verify_correctness-09d1189e49cc35c3.xml 2025-12-04T10:11:04.9677013Z W1204 10:11:04.966000 31687 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:11:06.5592406Z Running inductor/test_caching 1/1 ... [2025-12-04 10:11:06.558735][3628.70526721] 2025-12-04T10:11:06.5592975Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:06.5595426Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_caching.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 10:11:06.559214] 2025-12-04T10:11:09.2161565Z 2025-12-04T10:11:09.2163078Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_6395566e7cdba2cc_.log 2025-12-04T10:11:09.2164328Z 2025-12-04T10:11:09.2164829Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 10:11:09.216036][3631.362569062], took 0.16min 2025-12-04T10:11:10.8432288Z 2025-12-04T10:11:10.8433309Z inductor/test_caching 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_caching_1.1_02b29f6ac83fdfb8_.log 2025-12-04T10:11:10.8434173Z Running 0 items in this shard: 2025-12-04T10:11:10.8434383Z 2025-12-04T10:11:10.8434982Z Finished inductor/test_caching 1/1 ... [2025-12-04 10:11:10.843093][3632.98962862], took 0.07min 2025-12-04T10:11:10.8815081Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_caching/inductor.test_caching-e3c2f4c47b4553ca.xml 2025-12-04T10:11:12.0296024Z W1204 10:11:12.028000 32060 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:11:13.5646608Z Running dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 10:11:13.564179][3635.710711997] 2025-12-04T10:11:13.5647393Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:13.5650110Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_aot_autograd_cache.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 10:11:13.564664] 2025-12-04T10:11:13.6579240Z W1204 10:11:13.656000 32118 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:11:15.2090860Z Running dynamo/test_flat_apply 1/1 ... [2025-12-04 10:11:15.208622][3637.355154825] 2025-12-04T10:11:15.2091446Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:15.2094018Z Executing ['/opt/conda/envs/py_3.10/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 10:11:15.209086] 2025-12-04T10:11:19.5618366Z 2025-12-04T10:11:19.5619484Z 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_d568f1966a10f3f5_.log 2025-12-04T10:11:19.5620429Z Running 0 items in this shard: 2025-12-04T10:11:19.5620636Z 2025-12-04T10:11:19.5620955Z Finished dynamo/test_flat_apply 1/1 ... [2025-12-04 10:11:19.561819][3641.708348119], took 0.07min 2025-12-04T10:11:19.5847842Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_flat_apply/dynamo.test_flat_apply-5f04d6824f873dd7.xml 2025-12-04T10:11:22.3975563Z W1204 10:11:22.396000 32556 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:11:23.2781500Z 2025-12-04T10:11:23.2782959Z dynamo/test_aot_autograd_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_cache_1.1_d5400c2812dc1bb5_.log 2025-12-04T10:11:23.2784529Z Running 0 items in this shard: 2025-12-04T10:11:23.2784757Z 2025-12-04T10:11:23.2785329Z Finished dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 10:11:23.278130][3645.424659924], took 0.16min 2025-12-04T10:11:23.3024084Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_aot_autograd_cache/dynamo.test_aot_autograd_cache-e871e8577c9870b1.xml 2025-12-04T10:11:23.9484708Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 10:11:23.947840][3646.09437078] 2025-12-04T10:11:23.9485606Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:23.9487687Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_input_attr_tracking.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 10:11:23.948358] 2025-12-04T10:11:26.1342960Z W1204 10:11:26.133000 32718 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:11:27.6714168Z Running dynamo/test_graph_deduplication 1/1 ... [2025-12-04 10:11:27.670874][3649.817405499] 2025-12-04T10:11:27.6715283Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:27.6718006Z Executing ['/opt/conda/envs/py_3.10/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 10:11:27.671400] 2025-12-04T10:11:28.3997455Z 2025-12-04T10:11:28.3999146Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_eee6b2b4d7e80622_.log 2025-12-04T10:11:28.4000267Z Running 0 items in this shard: 2025-12-04T10:11:28.4000938Z 2025-12-04T10:11:28.4001617Z Finished dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 10:11:28.399714][3650.546233127], took 0.07min 2025-12-04T10:11:28.4238218Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_input_attr_tracking/dynamo.test_input_attr_tracking-d1f3720feef93775.xml 2025-12-04T10:11:31.1632424Z W1204 10:11:31.162000 32911 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:11:31.9812234Z 2025-12-04T10:11:31.9813564Z 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_b43d8854448f0acb_.log 2025-12-04T10:11:31.9814742Z Running 0 items in this shard: 2025-12-04T10:11:31.9814983Z 2025-12-04T10:11:31.9815429Z Finished dynamo/test_graph_deduplication 1/1 ... [2025-12-04 10:11:31.981135][3654.127666313], took 0.07min 2025-12-04T10:11:32.0037930Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_graph_deduplication/dynamo.test_graph_deduplication-0867dc59895355f9.xml 2025-12-04T10:11:32.7357815Z Running dynamo/test_structured_trace 1/1 ... [2025-12-04 10:11:32.735028][3654.881552801] 2025-12-04T10:11:32.7358736Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:32.7362650Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_structured_trace.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 10:11:32.735818] 2025-12-04T10:11:34.8776897Z W1204 10:11:34.876000 33074 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:11:36.3527350Z Running dynamo/test_error_messages 1/1 ... [2025-12-04 10:11:36.352228][3658.498760966] 2025-12-04T10:11:36.3528159Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:36.3530528Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_error_messages.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 10:11:36.352711] 2025-12-04T10:11:40.8377330Z 2025-12-04T10:11:40.8378409Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_cd7faf81bf781e90_.log 2025-12-04T10:11:40.8379345Z Running 0 items in this shard: 2025-12-04T10:11:40.8379545Z 2025-12-04T10:11:40.8379871Z Finished dynamo/test_error_messages 1/1 ... [2025-12-04 10:11:40.837662][3662.98419516], took 0.07min 2025-12-04T10:11:40.8613054Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_error_messages/dynamo.test_error_messages-206a9c0322caa5ef.xml 2025-12-04T10:11:42.2966898Z 2025-12-04T10:11:42.2968589Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_756482c12c998ac3_.log 2025-12-04T10:11:42.2970190Z Running 0 items in this shard: 2025-12-04T10:11:42.2970550Z 2025-12-04T10:11:42.2971144Z Finished dynamo/test_structured_trace 1/1 ... [2025-12-04 10:11:42.296480][3664.443006419], took 0.16min 2025-12-04T10:11:42.3725956Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_structured_trace/dynamo.test_structured_trace-f12ee8bf23293740.xml 2025-12-04T10:11:43.6026789Z W1204 10:11:43.601000 33511 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:11:45.1320469Z W1204 10:11:45.131000 33623 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:11:45.2155107Z Running dynamo/test_bytecode_utils 1/1 ... [2025-12-04 10:11:45.214901][3667.361432909] 2025-12-04T10:11:45.2155943Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:45.2157674Z Executing ['/opt/conda/envs/py_3.10/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 10:11:45.215392] 2025-12-04T10:11:46.6879613Z Running inductor/test_mps_basic 1/1 ... [2025-12-04 10:11:46.687465][3668.833997861] 2025-12-04T10:11:46.6880441Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:46.6883149Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mps_basic.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 10:11:46.687980] 2025-12-04T10:11:49.5868685Z 2025-12-04T10:11:49.5870224Z 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_fbd53704b2ee130f_.log 2025-12-04T10:11:49.5871586Z Running 0 items in this shard: 2025-12-04T10:11:49.5871868Z 2025-12-04T10:11:49.5872327Z Finished dynamo/test_bytecode_utils 1/1 ... [2025-12-04 10:11:49.586764][3671.7332963], took 0.07min 2025-12-04T10:11:49.6270309Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_bytecode_utils/dynamo.test_bytecode_utils-150a8e59350f26bd.xml 2025-12-04T10:11:52.4573525Z W1204 10:11:52.456000 33912 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:11:53.9796233Z Running export/test_nativert 1/1 ... [2025-12-04 10:11:53.979085][3676.125618163] 2025-12-04T10:11:53.9796935Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:53.9799823Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_nativert.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 10:11:53.979612] 2025-12-04T10:11:56.5846817Z 2025-12-04T10:11:56.5848371Z inductor/test_mps_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mps_basic_1.1_31b12ec0b7085dab_.log 2025-12-04T10:11:56.5849682Z 2025-12-04T10:11:56.5850237Z Finished inductor/test_mps_basic 1/1 ... [2025-12-04 10:11:56.584545][3678.731077543], took 0.16min 2025-12-04T10:11:59.3912804Z W1204 10:11:59.390000 34281 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:12:00.9470624Z Running dynamo/test_tree_map 1/1 ... [2025-12-04 10:12:00.946288][3683.092815351] 2025-12-04T10:12:00.9471346Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:00.9473713Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_tree_map.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 10:12:00.946967] 2025-12-04T10:12:03.6545808Z 2025-12-04T10:12:03.6546925Z export/test_nativert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_nativert_1.1_a10d0e10e73ccefc_.log 2025-12-04T10:12:03.6547800Z Running 0 items in this shard: 2025-12-04T10:12:03.6548020Z 2025-12-04T10:12:03.6548321Z Finished export/test_nativert 1/1 ... [2025-12-04 10:12:03.654491][3685.801025606], took 0.16min 2025-12-04T10:12:03.6780492Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_nativert/export.test_nativert-762066d67487eea9.xml 2025-12-04T10:12:04.8750517Z 2025-12-04T10:12:04.8751870Z dynamo/test_tree_map 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_tree_map_1.1_b80f0dd7e34ed8e8_.log 2025-12-04T10:12:04.8752712Z Running 0 items in this shard: 2025-12-04T10:12:04.8752929Z 2025-12-04T10:12:04.8753219Z Finished dynamo/test_tree_map 1/1 ... [2025-12-04 10:12:04.874928][3687.021460863], took 0.07min 2025-12-04T10:12:04.8988198Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_tree_map/dynamo.test_tree_map-d8defe1407dece67.xml 2025-12-04T10:12:06.5463872Z W1204 10:12:06.545000 34695 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:12:07.8000582Z W1204 10:12:07.799000 34711 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:12:08.0419030Z Running dynamo/test_minifier 1/1 ... [2025-12-04 10:12:08.041361][3690.187893065] 2025-12-04T10:12:08.0419656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:08.0421869Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_minifier.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 10:12:08.041885] 2025-12-04T10:12:09.2978121Z Running dynamo/test_guard_manager 1/1 ... [2025-12-04 10:12:09.297331][3691.443860697] 2025-12-04T10:12:09.2978992Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:09.2981982Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_guard_manager.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 10:12:09.297880] 2025-12-04T10:12:12.3465850Z 2025-12-04T10:12:12.3467150Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_3402c3a24661d76e_.log 2025-12-04T10:12:12.3468008Z Running 0 items in this shard: 2025-12-04T10:12:12.3468224Z 2025-12-04T10:12:12.3468519Z Finished dynamo/test_minifier 1/1 ... [2025-12-04 10:12:12.346498][3694.493031043], took 0.07min 2025-12-04T10:12:12.3710590Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_minifier/dynamo.test_minifier-b948f23210ff410a.xml 2025-12-04T10:12:12.4400315Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_guard_manager/dynamo.test_guard_manager-2e11a4c8e105363f.xml 2025-12-04T10:12:13.1834284Z 2025-12-04T10:12:13.1835830Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_a963cfa3a5411152_.log 2025-12-04T10:12:13.1836741Z Running 0 items in this shard: 2025-12-04T10:12:13.1836956Z 2025-12-04T10:12:13.1837271Z Finished dynamo/test_guard_manager 1/1 ... [2025-12-04 10:12:13.183273][3695.32980662], took 0.06min 2025-12-04T10:12:15.2214746Z W1204 10:12:15.220000 35051 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:12:16.0124172Z W1204 10:12:16.011000 35067 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:12:16.7492844Z Running export/test_schema 1/1 ... [2025-12-04 10:12:16.748797][3698.895329401] 2025-12-04T10:12:16.7493399Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:16.7496701Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_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 10:12:16.749298] 2025-12-04T10:12:17.5759251Z Running export/test_pass_infra 1/1 ... [2025-12-04 10:12:17.575275][3699.721804459] 2025-12-04T10:12:17.5759986Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:17.5762236Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_pass_infra.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 10:12:17.575884] 2025-12-04T10:12:20.6845788Z 2025-12-04T10:12:20.6847036Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_4c73187a7814917d_.log 2025-12-04T10:12:20.6848331Z Running 0 items in this shard: 2025-12-04T10:12:20.6848709Z 2025-12-04T10:12:20.6849277Z Finished export/test_schema 1/1 ... [2025-12-04 10:12:20.684513][3702.831046389], took 0.07min 2025-12-04T10:12:20.7092916Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_schema/export.test_schema-dae2aca1209431b0.xml 2025-12-04T10:12:20.7760377Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_pass_infra/export.test_pass_infra-e2ff5e0d888f7a0a.xml 2025-12-04T10:12:21.4081022Z 2025-12-04T10:12:21.4082591Z export/test_pass_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_pass_infra_1.1_fb87c8d1838d19e2_.log 2025-12-04T10:12:21.4083840Z Running 0 items in this shard: 2025-12-04T10:12:21.4084140Z 2025-12-04T10:12:21.4084619Z Finished export/test_pass_infra 1/1 ... [2025-12-04 10:12:21.408042][3703.554574652], took 0.06min 2025-12-04T10:12:23.4788204Z W1204 10:12:23.477000 35407 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:12:24.3424954Z W1204 10:12:24.341000 35423 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:12:24.9991753Z Running dynamo/test_recompile_ux 1/1 ... [2025-12-04 10:12:24.998739][3707.1452717] 2025-12-04T10:12:24.9992307Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:24.9995107Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_recompile_ux.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 10:12:24.999205] 2025-12-04T10:12:25.8556868Z Running export/test_experimental 1/1 ... [2025-12-04 10:12:25.855219][3708.00175247] 2025-12-04T10:12:25.8557445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:25.8560545Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_experimental.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 10:12:25.855696] 2025-12-04T10:12:29.3088151Z 2025-12-04T10:12:29.3089445Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_f522a3ffb8110ff6_.log 2025-12-04T10:12:29.3090723Z Running 0 items in this shard: 2025-12-04T10:12:29.3091089Z 2025-12-04T10:12:29.3091420Z Finished dynamo/test_recompile_ux 1/1 ... [2025-12-04 10:12:29.308794][3711.455323734], took 0.07min 2025-12-04T10:12:29.3338701Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompile_ux/dynamo.test_recompile_ux-17e4493129c02ca0.xml 2025-12-04T10:12:29.4243646Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_experimental/export.test_experimental-72918825eddbae8b.xml 2025-12-04T10:12:30.1488850Z 2025-12-04T10:12:30.1490257Z export/test_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_experimental_1.1_21eeea2d30c5428b_.log 2025-12-04T10:12:30.1491382Z Running 0 items in this shard: 2025-12-04T10:12:30.1491590Z 2025-12-04T10:12:30.1491955Z Finished export/test_experimental 1/1 ... [2025-12-04 10:12:30.148806][3712.295338987], took 0.07min 2025-12-04T10:12:32.1321217Z W1204 10:12:32.131000 35847 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:12:32.9432493Z W1204 10:12:32.942000 35875 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:12:33.6979326Z Running export/test_converter 1/1 ... [2025-12-04 10:12:33.697409][3715.843940994] 2025-12-04T10:12:33.6979996Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:33.6982732Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_converter.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 10:12:33.697930] 2025-12-04T10:12:34.4926340Z Running export/test_export 1/1 ... [2025-12-04 10:12:34.492102][3716.638634485] 2025-12-04T10:12:34.4927036Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:34.4930078Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export.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 10:12:34.492626] 2025-12-04T10:12:38.1873329Z 2025-12-04T10:12:38.1874610Z export/test_converter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_converter_1.1_334424fa1a9bf044_.log 2025-12-04T10:12:38.1875897Z Running 0 items in this shard: 2025-12-04T10:12:38.1876256Z 2025-12-04T10:12:38.1876677Z Finished export/test_converter 1/1 ... [2025-12-04 10:12:38.187322][3720.333849686], took 0.07min 2025-12-04T10:12:38.2127413Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_converter/export.test_converter-e17e93cabab09a21.xml 2025-12-04T10:12:41.0150463Z W1204 10:12:41.014000 36180 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:12:42.5462979Z Running test_model_exports_to_core_aten 1/1 ... [2025-12-04 10:12:42.545816][3724.692349859] 2025-12-04T10:12:42.5463953Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:42.5466678Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_model_exports_to_core_aten.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 10:12:42.546271] 2025-12-04T10:12:45.2713395Z 2025-12-04T10:12:45.2714455Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_9576b0e9aaedb2fe_.log 2025-12-04T10:12:45.2715281Z Running 0 items in this shard: 2025-12-04T10:12:45.2715480Z 2025-12-04T10:12:45.2715790Z Finished export/test_export 1/1 ... [2025-12-04 10:12:45.271237][3727.417769367], took 0.18min 2025-12-04T10:12:45.2969898Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export/export.test_export-a660961c2d6a9a92.xml 2025-12-04T10:12:48.0830142Z W1204 10:12:48.082000 36533 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:12:49.6248283Z Running dynamo/test_precompile_context 1/1 ... [2025-12-04 10:12:49.624267][3731.770799752] 2025-12-04T10:12:49.6249107Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:49.6251819Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_precompile_context.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 10:12:49.624866] 2025-12-04T10:12:59.2968605Z 2025-12-04T10:12:59.2970098Z dynamo/test_precompile_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_precompile_context_1.1_f602669cd3b3420e_.log 2025-12-04T10:12:59.2971082Z Running 0 items in this shard: 2025-12-04T10:12:59.2971282Z 2025-12-04T10:12:59.2971635Z Finished dynamo/test_precompile_context 1/1 ... [2025-12-04 10:12:59.296879][3741.443409291], took 0.16min 2025-12-04T10:12:59.3231712Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_precompile_context/dynamo.test_precompile_context-4af047acadf0bf7b.xml 2025-12-04T10:13:02.1690314Z W1204 10:13:02.168000 37199 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:13:03.7235897Z Running dynamo/test_trace_rules 1/1 ... [2025-12-04 10:13:03.723099][3745.86963139] 2025-12-04T10:13:03.7236466Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:13:03.7240347Z Executing ['/opt/conda/envs/py_3.10/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 10:13:03.723678] 2025-12-04T10:13:07.7459500Z 2025-12-04T10:13:07.7460473Z 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_e1508cb33d47df82_.log 2025-12-04T10:13:07.7479455Z Running 50 items in this shard: test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated 2025-12-04T10:13:07.7497558Z 2025-12-04T10:13:07.7497866Z Finished dynamo/test_trace_rules 1/1 ... [2025-12-04 10:13:07.745982][3749.892514083], took 0.07min 2025-12-04T10:13:07.7725831Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_trace_rules/dynamo.test_trace_rules-f0d6db88f3e51844.xml 2025-12-04T10:13:10.5597183Z W1204 10:13:10.558000 37521 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:13:12.1170159Z Running export/test_upgrader 1/1 ... [2025-12-04 10:13:12.116458][3754.262989956] 2025-12-04T10:13:12.1171053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:13:12.1174489Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_upgrader.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 10:13:12.117004] 2025-12-04T10:13:16.0720998Z 2025-12-04T10:13:16.0722211Z export/test_upgrader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_upgrader_1.1_cb331b9f3395d644_.log 2025-12-04T10:13:16.0723059Z Running 0 items in this shard: 2025-12-04T10:13:16.0723271Z 2025-12-04T10:13:16.0723571Z Finished export/test_upgrader 1/1 ... [2025-12-04 10:13:16.072034][3758.218566067], took 0.07min 2025-12-04T10:13:16.1415317Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_upgrader/export.test_upgrader-fd711148352b3ec9.xml 2025-12-04T10:13:19.0222422Z W1204 10:13:19.021000 37843 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:13:20.5052959Z Running dynamo/test_hooks 1/1 ... [2025-12-04 10:13:20.504761][3762.651293352] 2025-12-04T10:13:20.5053684Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:13:20.5055477Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_hooks.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 10:13:20.505228] 2025-12-04T10:13:24.8869344Z 2025-12-04T10:13:24.8870932Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_3f80eeeca602e0c6_.log 2025-12-04T10:13:24.8872531Z Running 0 items in this shard: 2025-12-04T10:13:24.8872908Z 2025-12-04T10:13:24.8873455Z Finished dynamo/test_hooks 1/1 ... [2025-12-04 10:13:24.886811][3767.033345083], took 0.07min 2025-12-04T10:13:24.9198502Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_hooks/dynamo.test_hooks-1dbdd52a83949b7a.xml 2025-12-04T10:13:27.8357637Z W1204 10:13:27.834000 38165 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:13:29.4456835Z Running dynamo/test_reorder_logs 1/1 ... [2025-12-04 10:13:29.445118][3771.591643125] 2025-12-04T10:13:29.4457690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:13:29.4461386Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_reorder_logs.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 10:13:29.445738] 2025-12-04T10:13:33.8550245Z 2025-12-04T10:13:33.8551477Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_745efe771fd614d5_.log 2025-12-04T10:13:33.8552564Z Running 0 items in this shard: 2025-12-04T10:13:33.8552837Z 2025-12-04T10:13:33.8553477Z Finished dynamo/test_reorder_logs 1/1 ... [2025-12-04 10:13:33.854930][3776.001461256], took 0.07min 2025-12-04T10:13:33.9059488Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_reorder_logs/dynamo.test_reorder_logs-30ae992788eed152.xml 2025-12-04T10:13:36.7800898Z W1204 10:13:36.779000 38487 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:13:38.4715486Z Running dynamo/test_subclasses 1/1 ... [2025-12-04 10:13:38.471033][3780.617565331] 2025-12-04T10:13:38.4716248Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:13:38.4718868Z Executing ['/opt/conda/envs/py_3.10/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 10:13:38.471535] 2025-12-04T10:13:48.2900263Z 2025-12-04T10:13:48.2901888Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_cd0082919cd8ac6f_.log 2025-12-04T10:13:48.2902795Z Running 0 items in this shard: 2025-12-04T10:13:48.2903018Z 2025-12-04T10:13:48.2903353Z Finished dynamo/test_subclasses 1/1 ... [2025-12-04 10:13:48.289911][3790.436437969], took 0.16min 2025-12-04T10:13:48.3187220Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_subclasses/dynamo.test_subclasses-6e7fef9a27d038bd.xml 2025-12-04T10:13:51.1196660Z W1204 10:13:51.118000 39087 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:13:52.6406552Z Running dynamo/test_exceptions 1/1 ... [2025-12-04 10:13:52.640140][3794.786672924] 2025-12-04T10:13:52.6407114Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:13:52.6410489Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_exceptions.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 10:13:52.640660] 2025-12-04T10:13:57.0921236Z 2025-12-04T10:13:57.0922998Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_5b753233326ff3ba_.log 2025-12-04T10:13:57.0924001Z Running 0 items in this shard: 2025-12-04T10:13:57.0924242Z 2025-12-04T10:13:57.0924574Z Finished dynamo/test_exceptions 1/1 ... [2025-12-04 10:13:57.091948][3799.238472412], took 0.07min 2025-12-04T10:13:57.1217373Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_exceptions/dynamo.test_exceptions-100c330ce4cf70cc.xml 2025-12-04T10:13:59.8829067Z W1204 10:13:59.882000 39415 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:14:01.4630734Z Running dynamo/test_generator 1/1 ... [2025-12-04 10:14:01.462536][3803.609067346] 2025-12-04T10:14:01.4631743Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:01.4635186Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_generator.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 10:14:01.463082] 2025-12-04T10:14:05.9724730Z 2025-12-04T10:14:05.9726338Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_8f829df0eb3e9081_.log 2025-12-04T10:14:05.9727757Z Running 0 items in this shard: 2025-12-04T10:14:05.9728064Z 2025-12-04T10:14:05.9728623Z Finished dynamo/test_generator 1/1 ... [2025-12-04 10:14:05.972352][3808.11887864], took 0.08min 2025-12-04T10:14:06.0060629Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_generator/dynamo.test_generator-1b1d65752a8ceee0.xml 2025-12-04T10:14:08.7919870Z W1204 10:14:08.791000 39821 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:14:10.3172325Z Running export/test_lift_unlift 1/1 ... [2025-12-04 10:14:10.316685][3812.463217728] 2025-12-04T10:14:10.3173055Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:10.3177347Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_lift_unlift.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 10:14:10.317209] 2025-12-04T10:14:14.2231793Z 2025-12-04T10:14:14.2233036Z export/test_lift_unlift 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_lift_unlift_1.1_9d18e8fefdec691a_.log 2025-12-04T10:14:14.2234153Z Running 0 items in this shard: 2025-12-04T10:14:14.2234398Z 2025-12-04T10:14:14.2234988Z Finished export/test_lift_unlift 1/1 ... [2025-12-04 10:14:14.223096][3816.369628087], took 0.07min 2025-12-04T10:14:14.2541660Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_lift_unlift/export.test_lift_unlift-e4dce01215dc3f98.xml 2025-12-04T10:14:17.0967698Z W1204 10:14:17.095000 40059 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:14:18.7713705Z Running export/test_verifier 1/1 ... [2025-12-04 10:14:18.770918][3820.917450311] 2025-12-04T10:14:18.7714333Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:18.7717193Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_verifier.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 10:14:18.771379] 2025-12-04T10:14:22.6278618Z 2025-12-04T10:14:22.6279934Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_488252dbca5f1960_.log 2025-12-04T10:14:22.6280844Z Running 0 items in this shard: 2025-12-04T10:14:22.6281091Z 2025-12-04T10:14:22.6281390Z Finished export/test_verifier 1/1 ... [2025-12-04 10:14:22.627726][3824.774254044], took 0.06min 2025-12-04T10:14:22.6632174Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_verifier/export.test_verifier-6a3aba727d9b540b.xml 2025-12-04T10:14:25.5347508Z W1204 10:14:25.533000 40381 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:14:27.1287604Z Running export/test_sparse 1/2 ... [2025-12-04 10:14:27.128308][3829.274837776] 2025-12-04T10:14:27.1288143Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:27.1291470Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_sparse.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:27.128791] 2025-12-04T10:14:31.3955380Z 2025-12-04T10:14:31.3956892Z export/test_sparse 1/2 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.2_fce207e652f50661_.log 2025-12-04T10:14:31.3958403Z Running 0 items in this shard: 2025-12-04T10:14:31.3958736Z 2025-12-04T10:14:31.3959253Z Finished export/test_sparse 1/2 ... [2025-12-04 10:14:31.395415][3833.54194802], took 0.07min 2025-12-04T10:14:31.4237520Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_sparse/export.test_sparse-3e9440c9816b8be7.xml 2025-12-04T10:14:34.2894162Z W1204 10:14:34.288000 40787 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:14:35.8073277Z Running dynamo/test_python_autograd 1/1 ... [2025-12-04 10:14:35.806836][3837.953369747] 2025-12-04T10:14:35.8073875Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:35.8076713Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_python_autograd.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 10:14:35.807325] 2025-12-04T10:14:40.1888469Z 2025-12-04T10:14:40.1889969Z dynamo/test_python_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_autograd_1.1_1a77e9a1bf77fecd_.log 2025-12-04T10:14:40.1890902Z Running 0 items in this shard: 2025-12-04T10:14:40.1891099Z 2025-12-04T10:14:40.1891428Z Finished dynamo/test_python_autograd 1/1 ... [2025-12-04 10:14:40.188694][3842.335226807], took 0.07min 2025-12-04T10:14:40.2172936Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_python_autograd/dynamo.test_python_autograd-b3986fb7e64e383b.xml 2025-12-04T10:14:43.0335520Z W1204 10:14:43.032000 41121 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:14:44.5852477Z Running export/test_draft_export 1/1 ... [2025-12-04 10:14:44.584704][3846.731236076] 2025-12-04T10:14:44.5853443Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:44.5857838Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_draft_export.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 10:14:44.585300] 2025-12-04T10:14:48.9406801Z 2025-12-04T10:14:48.9408000Z export/test_draft_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_draft_export_1.1_d0d920fd47dd7c80_.log 2025-12-04T10:14:48.9408893Z Running 0 items in this shard: 2025-12-04T10:14:48.9409092Z 2025-12-04T10:14:48.9409421Z Finished export/test_draft_export 1/1 ... [2025-12-04 10:14:48.940474][3851.087006013], took 0.07min 2025-12-04T10:14:48.9695505Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_draft_export/export.test_draft_export-bee71eef948c32d0.xml 2025-12-04T10:14:51.8614340Z W1204 10:14:51.860000 41347 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:14:53.4221178Z Running dynamo/test_comptime 1/1 ... [2025-12-04 10:14:53.421565][3855.568097023] 2025-12-04T10:14:53.4222155Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:53.4225388Z Executing ['/opt/conda/envs/py_3.10/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 10:14:53.422098] 2025-12-04T10:14:57.8108266Z 2025-12-04T10:14:57.8109984Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_f660f55d4297fa90_.log 2025-12-04T10:14:57.8111215Z Running 0 items in this shard: 2025-12-04T10:14:57.8111503Z 2025-12-04T10:14:57.8111965Z Finished dynamo/test_comptime 1/1 ... [2025-12-04 10:14:57.810727][3859.957260124], took 0.07min 2025-12-04T10:14:57.8433562Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_comptime/dynamo.test_comptime-0f2b2bd1159de513.xml 2025-12-04T10:15:00.7360730Z W1204 10:15:00.735000 41765 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:15:02.3807108Z Running functorch/test_rearrange 1/1 ... [2025-12-04 10:15:02.380208][3864.526740244] 2025-12-04T10:15:02.3807696Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:02.3810672Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_rearrange.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 10:15:02.380718] 2025-12-04T10:15:06.4483845Z 2025-12-04T10:15:06.4485645Z functorch/test_rearrange 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_rearrange_1.1_4f96679c1120a2e6_.log 2025-12-04T10:15:06.4487495Z Running 0 items in this shard: 2025-12-04T10:15:06.4487898Z 2025-12-04T10:15:06.4488562Z Finished functorch/test_rearrange 1/1 ... [2025-12-04 10:15:06.448378][3868.594899399], took 0.07min 2025-12-04T10:15:06.4791677Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_rearrange/functorch.test_rearrange-0607682e521618f6.xml 2025-12-04T10:15:09.3784709Z W1204 10:15:09.377000 42087 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:15:11.0620758Z Running functorch/test_parsing 1/1 ... [2025-12-04 10:15:11.061619][3873.208152397] 2025-12-04T10:15:11.0621325Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:11.0624153Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_parsing.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 10:15:11.062094] 2025-12-04T10:15:15.0036021Z 2025-12-04T10:15:15.0037422Z functorch/test_parsing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_parsing_1.1_fd14b2cd115df165_.log 2025-12-04T10:15:15.0038339Z Running 0 items in this shard: 2025-12-04T10:15:15.0038564Z 2025-12-04T10:15:15.0038888Z Finished functorch/test_parsing 1/1 ... [2025-12-04 10:15:15.003331][3877.149860861], took 0.07min 2025-12-04T10:15:15.0568694Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_parsing/functorch.test_parsing-4e68cfcef2e19fa3.xml 2025-12-04T10:15:17.8721592Z W1204 10:15:17.871000 42313 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:15:19.4650255Z Running test_package 1/1 ... [2025-12-04 10:15:19.464561][3881.611094233] 2025-12-04T10:15:19.4651047Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:19.4653789Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_package.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 10:15:19.465031] 2025-12-04T10:15:24.7083000Z 2025-12-04T10:15:24.7084381Z test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_package_1.1_4aad5878c8bfab77_.log 2025-12-04T10:15:24.7110275Z Running 50 items in this shard: test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestAnalyze::test_trace_dependencies 2025-12-04T10:15:24.7135109Z 2025-12-04T10:15:24.7135612Z Finished test_package 1/1 ... [2025-12-04 10:15:24.708232][3886.854764856], took 0.09min 2025-12-04T10:15:24.7381747Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_package/test_package-cfc01d36c783404f.xml 2025-12-04T10:15:27.5684791Z W1204 10:15:27.567000 42731 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:15:29.0858545Z Running profiler/test_profiler 1/1 ... [2025-12-04 10:15:29.085357][3891.23189035] 2025-12-04T10:15:29.0859123Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:29.0861371Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/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 10:15:29.085835] 2025-12-04T10:15:34.2567822Z 2025-12-04T10:15:34.2569535Z profiler/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_1.1_1a1b74ee0be49d8c_.log 2025-12-04T10:15:34.2838411Z Running 350 items in this shard: test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_dynamic_toggle, test/profiler/test_profiler.py::TestProfiler::test_profiler_cuda_sync_events, test/profiler/test_profiler.py::TestProfiler::test_tensorboard_trace_handler, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_debug_autotuner, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfilerCUDA::test_mem_leak, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, test/profiler/test_profiler.py::TestProfiler::test_disable_external_correlation, 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test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern, test/profiler/test_profiler.py::TestExperimentalUtils::test_profiler_optimizer_single_tensor_pattern 2025-12-04T10:15:34.3068481Z 2025-12-04T10:15:34.3068848Z Finished profiler/test_profiler 1/1 ... [2025-12-04 10:15:34.257179][3896.403707903], took 0.09min 2025-12-04T10:15:34.3070022Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_profiler/profiler.test_profiler-94c5651f279a9fc6.xml 2025-12-04T10:15:37.0846708Z W1204 10:15:37.083000 43101 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:15:38.5867356Z Running test_mkl_verbose 1/1 ... [2025-12-04 10:15:38.586180][3900.732713504] 2025-12-04T10:15:38.5868313Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:38.5871269Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkl_verbose.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 10:15:38.586711] 2025-12-04T10:15:42.4979006Z 2025-12-04T10:15:42.4980534Z test_mkl_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkl_verbose_1.1_3931ced859489fca_.log 2025-12-04T10:15:42.4981952Z Running 0 items in this shard: 2025-12-04T10:15:42.4982352Z 2025-12-04T10:15:42.4982810Z Finished test_mkl_verbose 1/1 ... [2025-12-04 10:15:42.497833][3904.644365458], took 0.07min 2025-12-04T10:15:42.5509215Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkl_verbose/test_mkl_verbose-243f87720b5284b1.xml 2025-12-04T10:15:45.3169938Z W1204 10:15:45.316000 43423 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:15:46.8955612Z Running test_comparison_utils 1/1 ... [2025-12-04 10:15:46.895028][3909.041561433] 2025-12-04T10:15:46.8956532Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:46.8959579Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_comparison_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 10:15:46.895540] 2025-12-04T10:15:51.0175749Z 2025-12-04T10:15:51.0177458Z test_comparison_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_comparison_utils_1.1_6ed4399cb69d0141_.log 2025-12-04T10:15:51.0179046Z Running 0 items in this shard: 2025-12-04T10:15:51.0179401Z 2025-12-04T10:15:51.0179940Z Finished test_comparison_utils 1/1 ... [2025-12-04 10:15:51.017360][3913.163892195], took 0.07min 2025-12-04T10:15:51.0475748Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_comparison_utils/test_comparison_utils-ad22384ca7b59dc5.xml 2025-12-04T10:15:53.8224677Z W1204 10:15:53.821000 43697 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:15:55.4625299Z Running functorch/test_ac_logging 1/1 ... [2025-12-04 10:15:55.461962][3917.608494077] 2025-12-04T10:15:55.4626339Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:55.4629350Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ac_logging.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 10:15:55.462540] 2025-12-04T10:15:59.4881301Z 2025-12-04T10:15:59.4882490Z functorch/test_ac_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_logging_1.1_c3e86c15ba88fc95_.log 2025-12-04T10:15:59.4884146Z Running 0 items in this shard: 2025-12-04T10:15:59.4884609Z 2025-12-04T10:15:59.4885157Z Finished functorch/test_ac_logging 1/1 ... [2025-12-04 10:15:59.488050][3921.634582696], took 0.07min 2025-12-04T10:15:59.5677839Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ac_logging/functorch.test_ac_logging-10abb96110b1f630.xml 2025-12-04T10:16:02.3478000Z W1204 10:16:02.346000 44067 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:16:03.8921590Z Running test_mkldnn_verbose 1/1 ... [2025-12-04 10:16:03.891599][3926.038131906] 2025-12-04T10:16:03.8922779Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:03.8925197Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkldnn_verbose.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 10:16:03.892103] 2025-12-04T10:16:08.0497580Z 2025-12-04T10:16:08.0499068Z test_mkldnn_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_verbose_1.1_b7b25fba8bbbc798_.log 2025-12-04T10:16:08.0500410Z Running 0 items in this shard: 2025-12-04T10:16:08.0500691Z 2025-12-04T10:16:08.0501100Z Finished test_mkldnn_verbose 1/1 ... [2025-12-04 10:16:08.049449][3930.195976484], took 0.07min 2025-12-04T10:16:08.0820433Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkldnn_verbose/test_mkldnn_verbose-7d52dbd21ea9d005.xml 2025-12-04T10:16:11.0183706Z W1204 10:16:11.017000 44389 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:16:12.5555408Z Running test_utils_config_module 1/1 ... [2025-12-04 10:16:12.555057][3934.701589294] 2025-12-04T10:16:12.5556001Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:12.5558932Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_utils_config_module.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 10:16:12.555551] 2025-12-04T10:16:16.0454479Z 2025-12-04T10:16:16.0455762Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_6cad417421920661_.log 2025-12-04T10:16:16.0477473Z Running 50 items in this shard: test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export 2025-12-04T10:16:16.0496546Z 2025-12-04T10:16:16.0496880Z Finished test_model_exports_to_core_aten 1/1 ... [2025-12-04 10:16:16.045475][3938.191999656], took 3.56min 2025-12-04T10:16:16.1073526Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_model_exports_to_core_aten/test_model_exports_to_core_aten-e42b48ea806e80fe.xml 2025-12-04T10:16:16.1995358Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils_config_module/test_utils_config_module-beb2c0975c04c075.xml 2025-12-04T10:16:16.6402193Z 2025-12-04T10:16:16.6403875Z test_utils_config_module 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_config_module_1.1_848038c80c946c3e_.log 2025-12-04T10:16:16.6405532Z Running 0 items in this shard: 2025-12-04T10:16:16.6405890Z 2025-12-04T10:16:16.6406468Z Finished test_utils_config_module 1/1 ... [2025-12-04 10:16:16.640281][3938.786808705], took 0.07min 2025-12-04T10:16:19.0014391Z W1204 10:16:19.000000 44711 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:16:19.5315553Z W1204 10:16:19.530000 44727 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:16:20.4916795Z Running test_hop_infra 1/1 ... [2025-12-04 10:16:20.491139][3942.637666774] 2025-12-04T10:16:20.4917710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:20.4929218Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_hop_infra.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 10:16:20.492373] 2025-12-04T10:16:21.0564835Z Running test_appending_byte_serializer 1/1 ... [2025-12-04 10:16:21.056028][3943.202561838] 2025-12-04T10:16:21.0565434Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:21.0568680Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_appending_byte_serializer.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 10:16:21.056499] 2025-12-04T10:16:24.9497115Z 2025-12-04T10:16:24.9498292Z test_appending_byte_serializer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_appending_byte_serializer_1.1_0950a5db3032f470_.log 2025-12-04T10:16:24.9499290Z Running 0 items in this shard: 2025-12-04T10:16:24.9499512Z 2025-12-04T10:16:24.9499856Z Finished test_appending_byte_serializer 1/1 ... [2025-12-04 10:16:24.949600][3947.096131636], took 0.06min 2025-12-04T10:16:24.9806577Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_hop_infra/test_hop_infra-ba6a395f6f0b31af.xml 2025-12-04T10:16:25.0818273Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_appending_byte_serializer/test_appending_byte_serializer-acbdedcabc502ce9.xml 2025-12-04T10:16:25.4826030Z 2025-12-04T10:16:25.4827090Z test_hop_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hop_infra_1.1_5ce92a5a45a1cb19_.log 2025-12-04T10:16:25.4827945Z Running 0 items in this shard: 2025-12-04T10:16:25.4828146Z 2025-12-04T10:16:25.4828417Z Finished test_hop_infra 1/1 ... [2025-12-04 10:16:25.482535][3947.629068508], took 0.08min 2025-12-04T10:16:27.8071706Z W1204 10:16:27.806000 45034 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:16:28.3610006Z W1204 10:16:28.360000 45098 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:16:29.3447206Z Running test_license 1/1 ... [2025-12-04 10:16:29.344229][3951.490761059] 2025-12-04T10:16:29.3447795Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:29.3451398Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_license.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 10:16:29.344744] 2025-12-04T10:16:29.9241704Z Running test_ao_sparsity 1/1 ... [2025-12-04 10:16:29.923654][3952.070187893] 2025-12-04T10:16:29.9242314Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:29.9244242Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ao_sparsity.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 10:16:29.924122] 2025-12-04T10:16:33.2353708Z 2025-12-04T10:16:33.2355192Z test_license 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_license_1.1_3716fa9c48dc4a0d_.log 2025-12-04T10:16:33.2356143Z Running 0 items in this shard: 2025-12-04T10:16:33.2356397Z 2025-12-04T10:16:33.2356815Z Finished test_license 1/1 ... [2025-12-04 10:16:33.235209][3955.381726729], took 0.06min 2025-12-04T10:16:33.2695306Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_license/test_license-591846cf9a2496e8.xml 2025-12-04T10:16:34.5266447Z 2025-12-04T10:16:34.5268168Z test_ao_sparsity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ao_sparsity_1.1_ef1c8a8704c89e02_.log 2025-12-04T10:16:34.5269685Z Running 0 items in this shard: 2025-12-04T10:16:34.5270343Z 2025-12-04T10:16:34.5270869Z Finished test_ao_sparsity 1/1 ... [2025-12-04 10:16:34.526456][3956.672988274], took 0.08min 2025-12-04T10:16:34.5580258Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ao_sparsity/test_ao_sparsity-4186fdd3fd700468.xml 2025-12-04T10:16:36.0953176Z W1204 10:16:36.094000 45436 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:16:37.3315188Z W1204 10:16:37.330000 45454 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:16:37.6087421Z Running test_autoload 1/1 ... [2025-12-04 10:16:37.608303][3959.754837332] 2025-12-04T10:16:37.6088189Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:37.6093516Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_autoload.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 10:16:37.608887] 2025-12-04T10:16:38.9012291Z Running nn/attention/test_open_registry 1/1 ... [2025-12-04 10:16:38.900712][3961.047244851] 2025-12-04T10:16:38.9013020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:38.9015485Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/attention/test_open_registry.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 10:16:38.901201] 2025-12-04T10:16:41.4757924Z 2025-12-04T10:16:41.4759371Z test_autoload 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autoload_1.1_fe8507e7badf2a72_.log 2025-12-04T10:16:41.4760164Z Running 0 items in this shard: 2025-12-04T10:16:41.4760367Z 2025-12-04T10:16:41.4760667Z Finished test_autoload 1/1 ... [2025-12-04 10:16:41.475730][3963.622263152], took 0.06min 2025-12-04T10:16:41.5265997Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autoload/test_autoload-5089ca6e448b03cf.xml 2025-12-04T10:16:42.7511371Z 2025-12-04T10:16:42.7513513Z nn/attention/test_open_registry 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.attention.test_open_registry_1.1_1e1a04be5860b67c_.log 2025-12-04T10:16:42.7514582Z Running 0 items in this shard: 2025-12-04T10:16:42.7514781Z 2025-12-04T10:16:42.7515131Z Finished nn/attention/test_open_registry 1/1 ... [2025-12-04 10:16:42.751060][3964.897590137], took 0.06min 2025-12-04T10:16:42.7840538Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.attention.test_open_registry/nn.attention.test_open_registry-b28d46cf3904d959.xml 2025-12-04T10:16:44.3381196Z W1204 10:16:44.336000 45794 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:16:45.6102951Z W1204 10:16:45.609000 45894 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:16:45.9263241Z Running xpu/test_fusion 1/1 ... [2025-12-04 10:16:45.925816][3968.072348229] 2025-12-04T10:16:45.9264014Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:45.9268459Z Executing ['/opt/conda/envs/py_3.10/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 10:16:45.926398] 2025-12-04T10:16:47.1718537Z Running test_as_strided 1/1 ... [2025-12-04 10:16:47.171347][3969.317879176] 2025-12-04T10:16:47.1719310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:47.1724119Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_as_strided.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 10:16:47.171940] 2025-12-04T10:16:50.2201565Z 2025-12-04T10:16:50.2202856Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_917957246ba84794_.log 2025-12-04T10:16:50.2203763Z Running 0 items in this shard: 2025-12-04T10:16:50.2203965Z 2025-12-04T10:16:50.2204246Z Finished xpu/test_fusion 1/1 ... [2025-12-04 10:16:50.220091][3972.366623607], took 0.07min 2025-12-04T10:16:50.2802049Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-6fd513fbfae545f8.xml 2025-12-04T10:16:51.1970868Z 2025-12-04T10:16:51.1972315Z test_as_strided 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_as_strided_1.1_f22de3234dea1954_.log 2025-12-04T10:16:51.1973487Z Running 0 items in this shard: 2025-12-04T10:16:51.1973793Z 2025-12-04T10:16:51.1974159Z Finished test_as_strided 1/1 ... [2025-12-04 10:16:51.196996][3973.34352682], took 0.07min 2025-12-04T10:16:51.2317923Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_as_strided/test_as_strided-a8268de4f0fdd516.xml 2025-12-04T10:16:53.0180665Z W1204 10:16:53.017000 46150 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:16:53.8799944Z W1204 10:16:53.878000 46166 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:16:54.5627583Z Running test_proxy_tensor 1/1 ... [2025-12-04 10:16:54.562265][3976.708798063] 2025-12-04T10:16:54.5628373Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:54.5632676Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_proxy_tensor.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 10:16:54.562819] 2025-12-04T10:16:55.4945817Z Running torch_np/test_binary_ufuncs 1/1 ... [2025-12-04 10:16:55.494071][3977.64060382] 2025-12-04T10:16:55.4946838Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:55.4949952Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_binary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:16:55.494546] 2025-12-04T10:16:59.4097610Z 2025-12-04T10:16:59.4099207Z torch_np/test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_binary_ufuncs_1.1_27a13669e60ff1ad_.log 2025-12-04T10:16:59.4100558Z Running 0 items in this shard: 2025-12-04T10:16:59.4100866Z 2025-12-04T10:16:59.4101335Z Finished torch_np/test_binary_ufuncs 1/1 ... [2025-12-04 10:16:59.409558][3981.556084416], took 0.07min 2025-12-04T10:16:59.4464105Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_binary_ufuncs/torch_np.test_binary_ufuncs-be4f9bf82d1d1e2f.xml 2025-12-04T10:17:01.3382800Z 2025-12-04T10:17:01.3384148Z test_proxy_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_proxy_tensor_1.1_bb920e26e8f9ca4b_.log 2025-12-04T10:17:01.3385406Z Running 0 items in this shard: 2025-12-04T10:17:01.3385624Z 2025-12-04T10:17:01.3385902Z Finished test_proxy_tensor 1/1 ... [2025-12-04 10:17:01.338174][3983.484707348], took 0.11min 2025-12-04T10:17:01.3718546Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_proxy_tensor/test_proxy_tensor-5aa6690a57c01b99.xml 2025-12-04T10:17:02.2767370Z W1204 10:17:02.275000 46521 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:17:03.7783461Z Running torch_np/test_unary_ufuncs 1/1 ... [2025-12-04 10:17:03.777612][3985.924140222] 2025-12-04T10:17:03.7784243Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:03.7785883Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_unary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:17:03.778245] 2025-12-04T10:17:04.1585885Z W1204 10:17:04.157000 46634 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:17:05.7152444Z Running test_utils_filelock 1/1 ... [2025-12-04 10:17:05.714657][3987.861189373] 2025-12-04T10:17:05.7153355Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:05.7155612Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_utils_filelock.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 10:17:05.715139] 2025-12-04T10:17:07.8527763Z 2025-12-04T10:17:07.8529352Z torch_np/test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_unary_ufuncs_1.1_dbade29fa375008c_.log 2025-12-04T10:17:07.8530979Z Running 0 items in this shard: 2025-12-04T10:17:07.8531337Z 2025-12-04T10:17:07.8531899Z Finished torch_np/test_unary_ufuncs 1/1 ... [2025-12-04 10:17:07.852647][3989.999178355], took 0.07min 2025-12-04T10:17:07.8866089Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_unary_ufuncs/torch_np.test_unary_ufuncs-984bcf3a47e88398.xml 2025-12-04T10:17:09.5827678Z 2025-12-04T10:17:09.5829054Z test_utils_filelock 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_filelock_1.1_ea309225dedf63c4_.log 2025-12-04T10:17:09.5830467Z Running 0 items in this shard: 2025-12-04T10:17:09.5830832Z 2025-12-04T10:17:09.5831333Z Finished test_utils_filelock 1/1 ... [2025-12-04 10:17:09.582542][3991.729075371], took 0.06min 2025-12-04T10:17:09.6172340Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils_filelock/test_utils_filelock-85e5578bb8070e3d.xml 2025-12-04T10:17:10.6798819Z W1204 10:17:10.679000 46877 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:17:12.2392412Z Running test_rename_privateuse1_to_existing_device 1/1 ... [2025-12-04 10:17:12.238719][3994.385249428] 2025-12-04T10:17:12.2393062Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:12.2396814Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_rename_privateuse1_to_existing_device.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 10:17:12.239279] 2025-12-04T10:17:12.3369719Z W1204 10:17:12.336000 46989 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:17:13.8773548Z Running nn/attention/test_fa4 1/1 ... [2025-12-04 10:17:13.876840][3996.023365591] 2025-12-04T10:17:13.8774116Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:13.8778401Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/attention/test_fa4.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:17:13.877448] 2025-12-04T10:17:16.2051721Z 2025-12-04T10:17:16.2053519Z test_rename_privateuse1_to_existing_device 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_rename_privateuse1_to_existing_device_1.1_4e05d1351c38f0c4_.log 2025-12-04T10:17:16.2054576Z Running 0 items in this shard: 2025-12-04T10:17:16.2054793Z 2025-12-04T10:17:16.2055225Z Finished test_rename_privateuse1_to_existing_device 1/1 ... [2025-12-04 10:17:16.205114][3998.351646948], took 0.07min 2025-12-04T10:17:16.2387425Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_rename_privateuse1_to_existing_device/test_rename_privateuse1_to_existing_device-d0999c62faa04ec1.xml 2025-12-04T10:17:18.1941258Z 2025-12-04T10:17:18.1942616Z nn/attention/test_fa4 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.attention.test_fa4_1.1_c8828d01d3cc2d25_.log 2025-12-04T10:17:18.1943686Z Running 0 items in this shard: 2025-12-04T10:17:18.1943963Z 2025-12-04T10:17:18.1944408Z Finished nn/attention/test_fa4 1/1 ... [2025-12-04 10:17:18.194113][4000.340643826], took 0.07min 2025-12-04T10:17:18.2291326Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-f646cba810aad864.xml 2025-12-04T10:17:19.0177855Z W1204 10:17:19.016000 47233 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:17:20.5535668Z Running typing/test_python_operators 1/1 ... [2025-12-04 10:17:20.553036][4002.699569578] 2025-12-04T10:17:20.5536358Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:20.5539041Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'typing/test_python_operators.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 10:17:20.553582] 2025-12-04T10:17:20.9394753Z W1204 10:17:20.938000 47346 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:17:22.5724262Z Running test_functionalization 1/1 ... [2025-12-04 10:17:22.571906][4004.718438585] 2025-12-04T10:17:22.5724844Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:22.5727933Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functionalization.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 10:17:22.572437] 2025-12-04T10:17:25.0281133Z 2025-12-04T10:17:25.0282583Z typing/test_python_operators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/typing.test_python_operators_1.1_04c43c1003bc526c_.log 2025-12-04T10:17:25.0283553Z Running 0 items in this shard: 2025-12-04T10:17:25.0283841Z 2025-12-04T10:17:25.0284186Z Finished typing/test_python_operators 1/1 ... [2025-12-04 10:17:25.027966][4007.174500115], took 0.07min 2025-12-04T10:17:25.0626028Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/typing.test_python_operators/typing.test_python_operators-f8e411d7a31e721e.xml 2025-12-04T10:17:26.6286561Z 2025-12-04T10:17:26.6288041Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_972ef9c1caaa404b_.log 2025-12-04T10:17:26.6288972Z Running 0 items in this shard: 2025-12-04T10:17:26.6289177Z 2025-12-04T10:17:26.6289533Z Finished test_functionalization 1/1 ... [2025-12-04 10:17:26.628545][4008.775067583], took 0.07min 2025-12-04T10:17:26.6717527Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization/test_functionalization-07cbdf4ef847cdb1.xml 2025-12-04T10:17:27.8966826Z W1204 10:17:27.895000 47685 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:17:29.3967849Z W1204 10:17:29.395000 47701 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:17:29.4207280Z Running torch_np/test_dtype 1/1 ... [2025-12-04 10:17:29.420291][4011.56682388] 2025-12-04T10:17:29.4208277Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:29.4212131Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_dtype.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 10:17:29.420776] 2025-12-04T10:17:30.9338447Z Running test_file_check 1/1 ... [2025-12-04 10:17:30.933322][4013.079854818] 2025-12-04T10:17:30.9339308Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:30.9343345Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_file_check.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 10:17:30.933897] 2025-12-04T10:17:33.4329090Z 2025-12-04T10:17:33.4330163Z torch_np/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_dtype_1.1_59653135ea9144bb_.log 2025-12-04T10:17:33.4331005Z Running 0 items in this shard: 2025-12-04T10:17:33.4331225Z 2025-12-04T10:17:33.4331512Z Finished torch_np/test_dtype 1/1 ... [2025-12-04 10:17:33.432776][4015.579304018], took 0.07min 2025-12-04T10:17:33.4676680Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_dtype/torch_np.test_dtype-1d9a73930bf8a93b.xml 2025-12-04T10:17:34.8814345Z 2025-12-04T10:17:34.8815281Z test_file_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_file_check_1.1_ac109e5c03aa0819_.log 2025-12-04T10:17:34.8816131Z Running 0 items in this shard: 2025-12-04T10:17:34.8816329Z 2025-12-04T10:17:34.8816594Z Finished test_file_check 1/1 ... [2025-12-04 10:17:34.881431][4017.027961466], took 0.07min 2025-12-04T10:17:34.9166985Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_file_check/test_file_check-f0e7f6d8a2dc5190.xml 2025-12-04T10:17:36.2974935Z W1204 10:17:36.296000 47945 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:17:37.6985352Z W1204 10:17:37.697000 48057 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:17:37.8601826Z Running profiler/test_kineto 1/1 ... [2025-12-04 10:17:37.859724][4020.00625585] 2025-12-04T10:17:37.8602396Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:37.8605688Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_kineto.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 10:17:37.860267] 2025-12-04T10:17:39.2866305Z Running test_flop_counter 1/1 ... [2025-12-04 10:17:39.286151][4021.432683241] 2025-12-04T10:17:39.2866829Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:39.2870273Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_flop_counter.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 10:17:39.286689] 2025-12-04T10:17:41.7202841Z 2025-12-04T10:17:41.7204737Z profiler/test_kineto 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_kineto_1.1_249c9b2ef95bd0ef_.log 2025-12-04T10:17:41.7205606Z Running 0 items in this shard: 2025-12-04T10:17:41.7205804Z 2025-12-04T10:17:41.7206113Z Finished profiler/test_kineto 1/1 ... [2025-12-04 10:17:41.720236][4023.866761511], took 0.06min 2025-12-04T10:17:41.7554977Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_kineto/profiler.test_kineto-3da3e45c9dc6307d.xml 2025-12-04T10:17:43.8959404Z 2025-12-04T10:17:43.8960606Z test_flop_counter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_flop_counter_1.1_068769ca26d48314_.log 2025-12-04T10:17:43.8961912Z Running 0 items in this shard: 2025-12-04T10:17:43.8962222Z 2025-12-04T10:17:43.8962534Z Finished test_flop_counter 1/1 ... [2025-12-04 10:17:43.895865][4026.042397309], took 0.08min 2025-12-04T10:17:43.9572309Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_flop_counter/test_flop_counter-47242ce008657f32.xml 2025-12-04T10:17:44.6362452Z W1204 10:17:44.635000 48301 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:17:46.1953771Z Running backends/xeon/test_launch 1/1 ... [2025-12-04 10:17:46.194893][4028.34142618] 2025-12-04T10:17:46.1954377Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:46.1957460Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'backends/xeon/test_launch.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 10:17:46.195411] 2025-12-04T10:17:46.6609680Z W1204 10:17:46.659000 48414 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:17:48.1689587Z Running test_openmp 1/1 ... [2025-12-04 10:17:48.168495][4030.31502963] 2025-12-04T10:17:48.1690316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:48.1693190Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_openmp.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 10:17:48.168936] 2025-12-04T10:17:50.2230301Z 2025-12-04T10:17:50.2231423Z backends/xeon/test_launch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/backends.xeon.test_launch_1.1_97e2172891a546f3_.log 2025-12-04T10:17:50.2232347Z Running 0 items in this shard: 2025-12-04T10:17:50.2232559Z 2025-12-04T10:17:50.2232882Z Finished backends/xeon/test_launch 1/1 ... [2025-12-04 10:17:50.222934][4032.369468639], took 0.07min 2025-12-04T10:17:50.2584962Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/backends.xeon.test_launch/backends.xeon.test_launch-8f8ed9b2ec6b5edc.xml 2025-12-04T10:17:52.0553815Z 2025-12-04T10:17:52.0554918Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_09afa7889ceea12a_.log 2025-12-04T10:17:52.0555697Z Running 0 items in this shard: 2025-12-04T10:17:52.0555912Z 2025-12-04T10:17:52.0556209Z Finished test_openmp 1/1 ... [2025-12-04 10:17:52.055260][4034.201793236], took 0.06min 2025-12-04T10:17:52.0907217Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_openmp/test_openmp-360bc1dc8fd31388.xml 2025-12-04T10:17:52.9898023Z W1204 10:17:52.989000 48741 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:17:54.5922995Z Running test_module_tracker 1/1 ... [2025-12-04 10:17:54.591708][4036.738239285] 2025-12-04T10:17:54.5923559Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:54.5926586Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_module_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 10:17:54.592294] 2025-12-04T10:17:54.9245602Z W1204 10:17:54.923000 48769 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:17:56.5180078Z Running torch_np/numpy_tests/core/test_scalarinherit 1/1 ... [2025-12-04 10:17:56.517497][4038.664029796] 2025-12-04T10:17:56.5180730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:56.5184375Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarinherit.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 10:17:56.518047] 2025-12-04T10:17:58.4820545Z 2025-12-04T10:17:58.4821722Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_ecfedb014d80d32a_.log 2025-12-04T10:17:58.4822562Z Running 0 items in this shard: 2025-12-04T10:17:58.4822762Z 2025-12-04T10:17:58.4823103Z Finished test_module_tracker 1/1 ... [2025-12-04 10:17:58.482028][4040.628560232], took 0.06min 2025-12-04T10:17:58.5190503Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_module_tracker/test_module_tracker-db5a0462320627ec.xml 2025-12-04T10:18:00.4883549Z 2025-12-04T10:18:00.4884886Z torch_np/numpy_tests/core/test_scalarinherit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarinherit_1.1_d38ab936fc60b76f_.log 2025-12-04T10:18:00.4886083Z Running 0 items in this shard: 2025-12-04T10:18:00.4886355Z 2025-12-04T10:18:00.4886965Z Finished torch_np/numpy_tests/core/test_scalarinherit 1/1 ... [2025-12-04 10:18:00.488380][4042.634902992], took 0.07min 2025-12-04T10:18:00.5243968Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalarinherit/torch_np.numpy_tests.core.test_scalarinherit-9d39ed7c8163b68f.xml 2025-12-04T10:18:01.3141473Z W1204 10:18:01.313000 49109 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:18:02.8552574Z Running test_tensorexpr_pybind 1/1 ... [2025-12-04 10:18:02.854808][4045.001341363] 2025-12-04T10:18:02.8553132Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:02.8556521Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorexpr_pybind.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 10:18:02.855337] 2025-12-04T10:18:03.2475764Z W1204 10:18:03.246000 49168 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:18:04.8309345Z Running test_fx_experimental 1/1 ... [2025-12-04 10:18:04.830403][4046.976931199] 2025-12-04T10:18:04.8310106Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:04.8313060Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_experimental.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 10:18:04.830937] 2025-12-04T10:18:06.8550347Z 2025-12-04T10:18:06.8552287Z test_tensorexpr_pybind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_pybind_1.1_b502ae82cdca19d7_.log 2025-12-04T10:18:06.8553682Z Running 0 items in this shard: 2025-12-04T10:18:06.8553904Z 2025-12-04T10:18:06.8554220Z Finished test_tensorexpr_pybind 1/1 ... [2025-12-04 10:18:06.854823][4049.001343317], took 0.07min 2025-12-04T10:18:06.8945614Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr_pybind/test_tensorexpr_pybind-44961e9c47c98f03.xml 2025-12-04T10:18:09.6804707Z W1204 10:18:09.679000 49369 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:18:10.6490858Z 2025-12-04T10:18:10.6492039Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_fffa776794acf2c0_.log 2025-12-04T10:18:10.6493003Z Running 0 items in this shard: 2025-12-04T10:18:10.6493311Z 2025-12-04T10:18:10.6493611Z Finished test_fx_experimental 1/1 ... [2025-12-04 10:18:10.648957][4052.795490698], took 0.10min 2025-12-04T10:18:10.6851416Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_experimental/test_fx_experimental-b32a92cb6fa6c339.xml 2025-12-04T10:18:11.2142728Z Running functorch/test_ac_knapsack 1/1 ... [2025-12-04 10:18:11.213811][4053.360343115] 2025-12-04T10:18:11.2143316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:11.2146933Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ac_knapsack.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 10:18:11.214339] 2025-12-04T10:18:13.5418711Z W1204 10:18:13.540000 49546 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:18:15.0607012Z Running torch_np/test_nep50_examples 1/1 ... [2025-12-04 10:18:15.060234][4057.206765589] 2025-12-04T10:18:15.0607748Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:15.0610637Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_nep50_examples.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 10:18:15.060729] 2025-12-04T10:18:15.3059482Z 2025-12-04T10:18:15.3060924Z functorch/test_ac_knapsack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_knapsack_1.1_c6381dcee27fe67c_.log 2025-12-04T10:18:15.3062290Z Running 0 items in this shard: 2025-12-04T10:18:15.3062636Z 2025-12-04T10:18:15.3063238Z Finished functorch/test_ac_knapsack 1/1 ... [2025-12-04 10:18:15.305868][4057.45240172], took 0.07min 2025-12-04T10:18:15.3422455Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ac_knapsack/functorch.test_ac_knapsack-8e427cfdbd284b26.xml 2025-12-04T10:18:18.1283066Z W1204 10:18:18.127000 49739 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:18:19.6083809Z Running xpu/test_gemm 1/1 ... [2025-12-04 10:18:19.607892][4061.754423057] 2025-12-04T10:18:19.6084349Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:19.6086817Z Executing ['/opt/conda/envs/py_3.10/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 10:18:19.608385] 2025-12-04T10:18:22.4889160Z 2025-12-04T10:18:22.4890261Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_f35da34436c2482b_.log 2025-12-04T10:18:22.4891162Z Running 0 items in this shard: 2025-12-04T10:18:22.4891616Z 2025-12-04T10:18:22.4891943Z Finished torch_np/test_nep50_examples 1/1 ... [2025-12-04 10:18:22.488803][4064.63533381], took 0.12min 2025-12-04T10:18:22.5254755Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_nep50_examples/torch_np.test_nep50_examples-674ba47ff331550e.xml 2025-12-04T10:18:24.4125962Z 2025-12-04T10:18:24.4127240Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_97645d23d6c3f88f_.log 2025-12-04T10:18:24.4128137Z Running 0 items in this shard: 2025-12-04T10:18:24.4128353Z 2025-12-04T10:18:24.4128613Z Finished xpu/test_gemm 1/1 ... [2025-12-04 10:18:24.412509][4066.559043154], took 0.08min 2025-12-04T10:18:24.4771076Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_gemm/xpu.test_gemm-d0be5656e87f5ce4.xml 2025-12-04T10:18:25.2582022Z W1204 10:18:25.257000 50056 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:18:26.8256512Z Running test_fx_passes 1/1 ... [2025-12-04 10:18:26.825164][4068.971697827] 2025-12-04T10:18:26.8257413Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:26.8260621Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_passes.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 10:18:26.825677] 2025-12-04T10:18:27.1716010Z W1204 10:18:27.170000 50163 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:18:28.7107564Z Running functorch/test_logging 1/1 ... [2025-12-04 10:18:28.710269][4070.856801647] 2025-12-04T10:18:28.7108114Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:28.7111260Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_logging.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 10:18:28.710755] 2025-12-04T10:18:31.0598277Z 2025-12-04T10:18:31.0599757Z test_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_passes_1.1_9fc77cfcaba47e8e_.log 2025-12-04T10:18:31.0600639Z Running 0 items in this shard: 2025-12-04T10:18:31.0600853Z 2025-12-04T10:18:31.0601110Z Finished test_fx_passes 1/1 ... [2025-12-04 10:18:31.059833][4073.206363013], took 0.07min 2025-12-04T10:18:31.0990534Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_passes/test_fx_passes-7546afcab63d1351.xml 2025-12-04T10:18:33.0848733Z 2025-12-04T10:18:33.0849983Z functorch/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_logging_1.1_f971901f07fb4923_.log 2025-12-04T10:18:33.0850902Z Running 0 items in this shard: 2025-12-04T10:18:33.0851105Z 2025-12-04T10:18:33.0851422Z Finished functorch/test_logging 1/1 ... [2025-12-04 10:18:33.084723][4075.231255496], took 0.07min 2025-12-04T10:18:33.1561473Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_logging/functorch.test_logging-44070d1f7c81d523.xml 2025-12-04T10:18:33.9120929Z W1204 10:18:33.911000 50418 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:18:35.4632868Z Running test_namedtensor 1/1 ... [2025-12-04 10:18:35.462749][4077.609277426] 2025-12-04T10:18:35.4633521Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:35.4636791Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_namedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:18:35.463272] 2025-12-04T10:18:35.8411641Z W1204 10:18:35.840000 50531 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:18:37.4122829Z Running functorch/test_minifier 1/1 ... [2025-12-04 10:18:37.411748][4079.558279921] 2025-12-04T10:18:37.4123485Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:37.4127190Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_minifier.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 10:18:37.412340] 2025-12-04T10:18:40.0124623Z 2025-12-04T10:18:40.0125779Z test_namedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtensor_1.1_56d2f6d7e416442e_.log 2025-12-04T10:18:40.0126617Z Running 0 items in this shard: 2025-12-04T10:18:40.0126817Z 2025-12-04T10:18:40.0127103Z Finished test_namedtensor 1/1 ... [2025-12-04 10:18:40.012341][4082.158869573], took 0.08min 2025-12-04T10:18:40.0787569Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtensor/test_namedtensor-c2745bfd04962609.xml 2025-12-04T10:18:41.6743278Z 2025-12-04T10:18:41.6744809Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_d48166f2851753d4_.log 2025-12-04T10:18:41.6746149Z Running 0 items in this shard: 2025-12-04T10:18:41.6746462Z 2025-12-04T10:18:41.6746923Z Finished functorch/test_minifier 1/1 ... [2025-12-04 10:18:41.674281][4083.820808804], took 0.07min 2025-12-04T10:18:41.7454421Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_minifier/functorch.test_minifier-c7cdc2a311cf2e9a.xml 2025-12-04T10:18:42.8144045Z W1204 10:18:42.813000 50774 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:18:44.4141949Z Running higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 10:18:44.413730][4086.56026233] 2025-12-04T10:18:44.4142545Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:44.4145992Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_quant.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 10:18:44.414205] 2025-12-04T10:18:44.4958299Z W1204 10:18:44.494000 50886 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:18:46.0584014Z Running torch_np/test_basic 1/1 ... [2025-12-04 10:18:46.057880][4088.204408645] 2025-12-04T10:18:46.0584745Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:46.0588029Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_basic.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 10:18:46.058443] 2025-12-04T10:18:51.4583898Z 2025-12-04T10:18:51.4585039Z torch_np/test_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_basic_1.1_7e424e9244d152fe_.log 2025-12-04T10:18:51.4585864Z Running 0 items in this shard: 2025-12-04T10:18:51.4586064Z 2025-12-04T10:18:51.4586352Z Finished torch_np/test_basic 1/1 ... [2025-12-04 10:18:51.458291][4093.604824441], took 0.09min 2025-12-04T10:18:51.4977010Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_basic/torch_np.test_basic-3064c3f790fa0652.xml 2025-12-04T10:18:53.8953751Z 2025-12-04T10:18:53.8955152Z higher_order_ops/test_invoke_quant 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_quant_1.1_1b88f658a110b567_.log 2025-12-04T10:18:53.8956374Z Running 0 items in this shard: 2025-12-04T10:18:53.8956573Z 2025-12-04T10:18:53.8957069Z Finished higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 10:18:53.895263][4096.041795963], took 0.16min 2025-12-04T10:18:53.9478895Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_quant/higher_order_ops.test_invoke_quant-7a1a9f04868e6f7b.xml 2025-12-04T10:18:54.2361204Z W1204 10:18:54.234000 51318 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:18:55.7958989Z Running test_native_functions 1/1 ... [2025-12-04 10:18:55.795371][4097.941902899] 2025-12-04T10:18:55.7959949Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:55.7962661Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_functions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:18:55.795873] 2025-12-04T10:18:56.8058731Z W1204 10:18:56.804000 51383 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:18:58.3086013Z Running test_typing 1/1 ... [2025-12-04 10:18:58.308133][4100.454666094] 2025-12-04T10:18:58.3086531Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:58.3090231Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_typing.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 10:18:58.308639] 2025-12-04T10:18:59.7744399Z 2025-12-04T10:18:59.7746056Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_64c5f0855374fb4b_.log 2025-12-04T10:18:59.7746941Z Running 0 items in this shard: 2025-12-04T10:18:59.7747142Z 2025-12-04T10:18:59.7747762Z Finished test_native_functions 1/1 ... [2025-12-04 10:18:59.774222][4101.920747434], took 0.07min 2025-12-04T10:18:59.8146053Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_functions/test_native_functions-b7afe9d0abd65684.xml 2025-12-04T10:19:02.2290349Z 2025-12-04T10:19:02.2292037Z test_typing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_typing_1.1_63c21a36a88420ea_.log 2025-12-04T10:19:02.2293115Z Running 0 items in this shard: 2025-12-04T10:19:02.2293426Z 2025-12-04T10:19:02.2293816Z Finished test_typing 1/1 ... [2025-12-04 10:19:02.228937][4104.375469676], took 0.07min 2025-12-04T10:19:02.2676949Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_typing/test_typing-d226871c367e5956.xml 2025-12-04T10:19:02.5691214Z W1204 10:19:02.568000 51674 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:19:04.1631126Z Running higher_order_ops/test_with_effects 1/1 ... [2025-12-04 10:19:04.162622][4106.309153977] 2025-12-04T10:19:04.1631746Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:04.1635454Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_with_effects.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 10:19:04.163144] 2025-12-04T10:19:05.0107422Z W1204 10:19:05.009000 51739 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:19:06.5048012Z Running test_weak 1/1 ... [2025-12-04 10:19:06.504307][4108.650841054] 2025-12-04T10:19:06.5048492Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:06.5051506Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_weak.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 10:19:06.504801] 2025-12-04T10:19:09.1629521Z 2025-12-04T10:19:09.1630830Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_a5b9d45624c8a100_.log 2025-12-04T10:19:09.1631787Z Running 0 items in this shard: 2025-12-04T10:19:09.1632003Z 2025-12-04T10:19:09.1632354Z Finished higher_order_ops/test_with_effects 1/1 ... [2025-12-04 10:19:09.162793][4111.309326905], took 0.08min 2025-12-04T10:19:09.2194607Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_with_effects/higher_order_ops.test_with_effects-6e90c75963471460.xml 2025-12-04T10:19:10.4995332Z 2025-12-04T10:19:10.4996727Z test_weak 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_weak_1.1_f17054243a8436cf_.log 2025-12-04T10:19:10.4998028Z Running 0 items in this shard: 2025-12-04T10:19:10.4998378Z 2025-12-04T10:19:10.4998814Z Finished test_weak 1/1 ... [2025-12-04 10:19:10.499395][4112.64592856], took 0.07min 2025-12-04T10:19:10.5391626Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_weak/test_weak-641bc75bd19aa290.xml 2025-12-04T10:19:12.0828295Z W1204 10:19:12.081000 52078 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:19:13.3067276Z W1204 10:19:13.305000 52178 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:19:13.5867099Z Running test_complex 1/1 ... [2025-12-04 10:19:13.586242][4115.73277416] 2025-12-04T10:19:13.5867610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:13.5871506Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_complex.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 10:19:13.586718] 2025-12-04T10:19:14.8564201Z Running test_optim 1/1 ... [2025-12-04 10:19:14.855999][4117.002532224] 2025-12-04T10:19:14.8564692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:14.8568002Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', '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 10:19:14.856457] 2025-12-04T10:19:17.9457067Z 2025-12-04T10:19:17.9458609Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_2876843eae6408b2_.log 2025-12-04T10:19:17.9459375Z Running 0 items in this shard: 2025-12-04T10:19:17.9459620Z 2025-12-04T10:19:17.9459906Z Finished test_complex 1/1 ... [2025-12-04 10:19:17.945565][4120.092098637], took 0.07min 2025-12-04T10:19:17.9856950Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_complex/test_complex-c84e9e98ae27ea38.xml 2025-12-04T10:19:20.6736112Z W1204 10:19:20.672000 52449 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:19:20.7691746Z 2025-12-04T10:19:20.7693111Z test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_optim_1.1_5cf9d885cec8ad5b_.log 2025-12-04T10:19:20.7694797Z Running 0 items in this shard: 2025-12-04T10:19:20.7695122Z 2025-12-04T10:19:20.7695529Z Finished test_optim 1/1 ... [2025-12-04 10:19:20.769116][4122.915636248], took 0.10min 2025-12-04T10:19:20.8463681Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_optim/test_optim-8351cb7a78f971a3.xml 2025-12-04T10:19:22.2547726Z Running lazy/test_functionalization 1/1 ... [2025-12-04 10:19:22.254270][4124.400803837] 2025-12-04T10:19:22.2548412Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:22.2550672Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_functionalization.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 10:19:22.254742] 2025-12-04T10:19:23.6824375Z W1204 10:19:23.681000 52610 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:19:25.1747840Z Running torch_np/test_random 1/1 ... [2025-12-04 10:19:25.174268][4127.320799409] 2025-12-04T10:19:25.1748410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:25.1751798Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_random.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 10:19:25.174832] 2025-12-04T10:19:26.1624483Z 2025-12-04T10:19:26.1626310Z lazy/test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_functionalization_1.1_357bf781674efe5e_.log 2025-12-04T10:19:26.1627307Z Running 0 items in this shard: 2025-12-04T10:19:26.1627565Z 2025-12-04T10:19:26.1627903Z Finished lazy/test_functionalization 1/1 ... [2025-12-04 10:19:26.162168][4128.308696409], took 0.07min 2025-12-04T10:19:26.2254487Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_functionalization/lazy.test_functionalization-b71c4d8f810e477f.xml 2025-12-04T10:19:28.9595084Z W1204 10:19:28.958000 52756 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:19:29.2593183Z 2025-12-04T10:19:29.2594281Z torch_np/test_random 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_random_1.1_1edef1768cac103d_.log 2025-12-04T10:19:29.2595127Z Running 0 items in this shard: 2025-12-04T10:19:29.2595328Z 2025-12-04T10:19:29.2595631Z Finished torch_np/test_random 1/1 ... [2025-12-04 10:19:29.259246][4131.405779003], took 0.07min 2025-12-04T10:19:29.2993645Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_random/torch_np.test_random-db7304488e7f9950.xml 2025-12-04T10:19:30.4667560Z Running nn/test_multihead_attention 1/1 ... [2025-12-04 10:19:30.466208][4132.612741558] 2025-12-04T10:19:30.4668254Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:30.4670481Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_multihead_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:19:30.466688] 2025-12-04T10:19:32.0973754Z W1204 10:19:32.096000 52918 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:19:33.5981291Z Running test_legacy_vmap 1/1 ... [2025-12-04 10:19:33.597600][4135.74413239] 2025-12-04T10:19:33.5982208Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:33.5985456Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_legacy_vmap.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 10:19:33.598156] 2025-12-04T10:19:34.7976109Z 2025-12-04T10:19:34.7977544Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_5cdd2683fda12304_.log 2025-12-04T10:19:34.7978485Z Running 0 items in this shard: 2025-12-04T10:19:34.7978681Z 2025-12-04T10:19:34.7979023Z Finished nn/test_multihead_attention 1/1 ... [2025-12-04 10:19:34.797528][4136.944061754], took 0.07min 2025-12-04T10:19:34.8624612Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_multihead_attention/nn.test_multihead_attention-46c4134ae40cafd0.xml 2025-12-04T10:19:37.5458730Z W1204 10:19:37.545000 53154 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:19:38.1921268Z 2025-12-04T10:19:38.1922569Z test_legacy_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_legacy_vmap_1.1_cbce8ce9b5c78562_.log 2025-12-04T10:19:38.1923472Z Running 0 items in this shard: 2025-12-04T10:19:38.1923754Z 2025-12-04T10:19:38.1924063Z Finished test_legacy_vmap 1/1 ... [2025-12-04 10:19:38.192136][4140.338664466], took 0.08min 2025-12-04T10:19:38.2329365Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_legacy_vmap/test_legacy_vmap-186c4a0353f4ab30.xml 2025-12-04T10:19:39.0913211Z Running lazy/test_bindings 1/1 ... [2025-12-04 10:19:39.090598][4141.237123803] 2025-12-04T10:19:39.0914051Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:39.0915688Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_bindings.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 10:19:39.091257] 2025-12-04T10:19:40.9892877Z W1204 10:19:40.988000 53275 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:19:42.5295784Z Running test_pytree 1/1 ... [2025-12-04 10:19:42.529001][4144.675534549] 2025-12-04T10:19:42.5296452Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:42.5298786Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_pytree.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 10:19:42.529567] 2025-12-04T10:19:42.9841283Z 2025-12-04T10:19:42.9842426Z lazy/test_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_bindings_1.1_41c968f93ea0b8b1_.log 2025-12-04T10:19:42.9843304Z Running 0 items in this shard: 2025-12-04T10:19:42.9843505Z 2025-12-04T10:19:42.9843860Z Finished lazy/test_bindings 1/1 ... [2025-12-04 10:19:42.984078][4145.130606349], took 0.06min 2025-12-04T10:19:43.0438416Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_bindings/lazy.test_bindings-71fb95b098b48f50.xml 2025-12-04T10:19:45.7980329Z W1204 10:19:45.797000 53516 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:19:46.7192821Z 2025-12-04T10:19:46.7194249Z test_pytree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pytree_1.1_a303a9788edb15bf_.log 2025-12-04T10:19:46.7195025Z Running 0 items in this shard: 2025-12-04T10:19:46.7195227Z 2025-12-04T10:19:46.7195476Z Finished test_pytree 1/1 ... [2025-12-04 10:19:46.719137][4148.865670214], took 0.07min 2025-12-04T10:19:46.7604226Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pytree/test_pytree-83daa2b18bfd2bd9.xml 2025-12-04T10:19:47.3400196Z Running profiler/test_record_function 1/1 ... [2025-12-04 10:19:47.339527][4149.486060843] 2025-12-04T10:19:47.3401085Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:47.3403837Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_record_function.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 10:19:47.340013] 2025-12-04T10:19:49.5146652Z W1204 10:19:49.513000 53673 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:19:51.0191190Z Running test_compile_benchmark_util 1/1 ... [2025-12-04 10:19:51.018630][4153.165163922] 2025-12-04T10:19:51.0193207Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:51.0194622Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_compile_benchmark_util.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 10:19:51.019106] 2025-12-04T10:19:51.2157682Z 2025-12-04T10:19:51.2158995Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_3f463422599f4021_.log 2025-12-04T10:19:51.2159957Z Running 0 items in this shard: 2025-12-04T10:19:51.2160157Z 2025-12-04T10:19:51.2160529Z Finished profiler/test_record_function 1/1 ... [2025-12-04 10:19:51.215691][4153.362221536], took 0.06min 2025-12-04T10:19:51.2575307Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_record_function/profiler.test_record_function-61e5158ae2df86d9.xml 2025-12-04T10:19:54.0111358Z W1204 10:19:54.010000 53872 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:19:55.3561100Z 2025-12-04T10:19:55.3563009Z test_compile_benchmark_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_compile_benchmark_util_1.1_0b507300125461b0_.log 2025-12-04T10:19:55.3564732Z Running 0 items in this shard: 2025-12-04T10:19:55.3565110Z 2025-12-04T10:19:55.3565719Z Finished test_compile_benchmark_util 1/1 ... [2025-12-04 10:19:55.355955][4157.502486158], took 0.07min 2025-12-04T10:19:55.3978512Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_compile_benchmark_util/test_compile_benchmark_util-c1681a58f3b16761.xml 2025-12-04T10:19:55.5449266Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2025-12-04 10:19:55.544432][4157.690963847] 2025-12-04T10:19:55.5450054Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:55.5452478Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.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 10:19:55.544892] 2025-12-04T10:19:58.1897704Z W1204 10:19:58.188000 54050 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:19:59.5272069Z 2025-12-04T10:19:59.5273841Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_34f13a1b61f2281c_.log 2025-12-04T10:19:59.5275062Z Running 0 items in this shard: 2025-12-04T10:19:59.5275277Z 2025-12-04T10:19:59.5275776Z Finished test_set_default_mobile_cpu_allocator 1/1 ... [2025-12-04 10:19:59.527121][4161.673649616], took 0.07min 2025-12-04T10:19:59.5692073Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_set_default_mobile_cpu_allocator/test_set_default_mobile_cpu_allocator-affa589423dd7f64.xml 2025-12-04T10:19:59.6888234Z Running test_stateless 1/1 ... [2025-12-04 10:19:59.688406][4161.834939031] 2025-12-04T10:19:59.6888791Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:59.6892309Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_stateless.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 10:19:59.688916] 2025-12-04T10:20:02.3996719Z W1204 10:20:02.398000 54228 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:20:03.9313948Z Running functorch/test_ac 1/1 ... [2025-12-04 10:20:03.930866][4166.077392718] 2025-12-04T10:20:03.9314492Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:03.9317400Z Executing ['/opt/conda/envs/py_3.10/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 10:20:03.931435] 2025-12-04T10:20:04.1453989Z 2025-12-04T10:20:04.1454993Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_751527d7372a3c4a_.log 2025-12-04T10:20:04.1456011Z Running 0 items in this shard: 2025-12-04T10:20:04.1456215Z 2025-12-04T10:20:04.1456496Z Finished test_stateless 1/1 ... [2025-12-04 10:20:04.145293][4166.291825866], took 0.07min 2025-12-04T10:20:04.2091938Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_stateless/test_stateless-ec9461fee5fa14c1.xml 2025-12-04T10:20:07.0147579Z W1204 10:20:07.013000 54406 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:20:08.4915061Z Running higher_order_ops/test_print 1/1 ... [2025-12-04 10:20:08.490987][4170.637518698] 2025-12-04T10:20:08.4915650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:08.4919454Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_print.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 10:20:08.491550] 2025-12-04T10:20:12.8541537Z 2025-12-04T10:20:12.8543067Z higher_order_ops/test_print 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_print_1.1_e8d0cbd61932847f_.log 2025-12-04T10:20:12.8544429Z Running 0 items in this shard: 2025-12-04T10:20:12.8544735Z 2025-12-04T10:20:12.8545246Z Finished higher_order_ops/test_print 1/1 ... [2025-12-04 10:20:12.854060][4175.000587699], took 0.07min 2025-12-04T10:20:12.8968646Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_print/higher_order_ops.test_print-82561fb184547723.xml 2025-12-04T10:20:13.2077945Z 2025-12-04T10:20:13.2079331Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_443ab0cd3307de42_.log 2025-12-04T10:20:13.2080387Z 2025-12-04T10:20:13.2080803Z Finished functorch/test_ac 1/1 ... [2025-12-04 10:20:13.207713][4175.354245959], took 0.15min 2025-12-04T10:20:15.6660105Z W1204 10:20:15.665000 54773 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:20:16.0816763Z W1204 10:20:16.080000 54816 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:20:17.2115628Z Running test_per_overload_api 1/1 ... [2025-12-04 10:20:17.211085][4179.357617615] 2025-12-04T10:20:17.2116195Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:17.2119812Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_per_overload_api.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 10:20:17.211593] 2025-12-04T10:20:17.6047902Z Running torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-12-04 10:20:17.604345][4179.750878737] 2025-12-04T10:20:17.6048514Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:17.6051553Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_einsum.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 10:20:17.604819] 2025-12-04T10:20:21.0632128Z 2025-12-04T10:20:21.0633775Z test_per_overload_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_per_overload_api_1.1_df1920fce18fd296_.log 2025-12-04T10:20:21.0635356Z Running 0 items in this shard: 2025-12-04T10:20:21.0635602Z 2025-12-04T10:20:21.0635917Z Finished test_per_overload_api 1/1 ... [2025-12-04 10:20:21.063113][4183.209646393], took 0.06min 2025-12-04T10:20:21.1057756Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_per_overload_api/test_per_overload_api-65d835bfef83248d.xml 2025-12-04T10:20:21.1923154Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_einsum/torch_np.numpy_tests.core.test_einsum-5fc5ec3fd2c4c2ea.xml 2025-12-04T10:20:21.6670067Z 2025-12-04T10:20:21.6671577Z torch_np/numpy_tests/core/test_einsum 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_einsum_1.1_c23c49e824882ada_.log 2025-12-04T10:20:21.6673143Z Running 0 items in this shard: 2025-12-04T10:20:21.6673435Z 2025-12-04T10:20:21.6674100Z Finished torch_np/numpy_tests/core/test_einsum 1/1 ... [2025-12-04 10:20:21.666874][4183.813408045], took 0.07min 2025-12-04T10:20:23.9063079Z W1204 10:20:23.905000 55171 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:20:24.5036647Z W1204 10:20:24.502000 55193 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:20:25.4207674Z Running test_out_dtype_op 1/1 ... [2025-12-04 10:20:25.420336][4187.566868743] 2025-12-04T10:20:25.4208191Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:25.4211719Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_out_dtype_op.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 10:20:25.420808] 2025-12-04T10:20:26.0913675Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-12-04 10:20:26.090945][4188.237477076] 2025-12-04T10:20:26.0914271Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:26.0917830Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ufuncs_basic.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 10:20:26.091472] 2025-12-04T10:20:30.0360302Z 2025-12-04T10:20:30.0362478Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_d11f86dbe6f7f99e_.log 2025-12-04T10:20:30.0364056Z Running 0 items in this shard: 2025-12-04T10:20:30.0364279Z 2025-12-04T10:20:30.0364644Z Finished test_out_dtype_op 1/1 ... [2025-12-04 10:20:30.035867][4192.182393116], took 0.08min 2025-12-04T10:20:30.0818914Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_out_dtype_op/test_out_dtype_op-00b90f1c5337ffc6.xml 2025-12-04T10:20:30.1624900Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ufuncs_basic/torch_np.test_ufuncs_basic-fa379b4c4a14b510.xml 2025-12-04T10:20:30.7042562Z 2025-12-04T10:20:30.7044242Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_e683dcf34155030c_.log 2025-12-04T10:20:30.7045169Z Running 0 items in this shard: 2025-12-04T10:20:30.7045386Z 2025-12-04T10:20:30.7045703Z Finished torch_np/test_ufuncs_basic 1/1 ... [2025-12-04 10:20:30.704087][4192.850613122], took 0.08min 2025-12-04T10:20:32.8759190Z W1204 10:20:32.875000 55533 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:20:33.5694519Z W1204 10:20:33.568000 55549 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:20:34.3931858Z Running lazy/test_step_closures 1/1 ... [2025-12-04 10:20:34.392673][4196.539205518] 2025-12-04T10:20:34.3932447Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:34.3935249Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_step_closures.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 10:20:34.393158] 2025-12-04T10:20:35.1061052Z Running functorch/dim/test_getsetitem 1/1 ... [2025-12-04 10:20:35.105637][4197.252169227] 2025-12-04T10:20:35.1061850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:35.1064579Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/dim/test_getsetitem.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 10:20:35.106103] 2025-12-04T10:20:38.3963958Z 2025-12-04T10:20:38.3965563Z lazy/test_step_closures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_step_closures_1.1_9fce2cfc1b78b170_.log 2025-12-04T10:20:38.3967066Z Running 0 items in this shard: 2025-12-04T10:20:38.3967429Z 2025-12-04T10:20:38.3967960Z Finished lazy/test_step_closures 1/1 ... [2025-12-04 10:20:38.396243][4200.542772107], took 0.07min 2025-12-04T10:20:38.4408747Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_step_closures/lazy.test_step_closures-c17ca6cc79a08506.xml 2025-12-04T10:20:38.5100989Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.dim.test_getsetitem/functorch.dim.test_getsetitem-9dfed3f669179fab.xml 2025-12-04T10:20:39.0792764Z 2025-12-04T10:20:39.0793832Z functorch/dim/test_getsetitem 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.dim.test_getsetitem_1.1_7ec619e178010fd7_.log 2025-12-04T10:20:39.0794777Z Running 0 items in this shard: 2025-12-04T10:20:39.0794972Z 2025-12-04T10:20:39.0795343Z Finished functorch/dim/test_getsetitem 1/1 ... [2025-12-04 10:20:39.079098][4201.225632163], took 0.07min 2025-12-04T10:20:41.2962626Z W1204 10:20:41.295000 55889 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:20:41.8769967Z W1204 10:20:41.875000 55989 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:20:42.8157416Z Running test_numpy_interop 1/1 ... [2025-12-04 10:20:42.815264][4204.96179716] 2025-12-04T10:20:42.8157962Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:42.8160620Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numpy_interop.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 10:20:42.815741] 2025-12-04T10:20:43.4628664Z Running profiler/test_cpp_thread 1/1 ... [2025-12-04 10:20:43.462381][4205.608911744] 2025-12-04T10:20:43.4629237Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:43.4632294Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_cpp_thread.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 10:20:43.462912] 2025-12-04T10:20:47.0141888Z 2025-12-04T10:20:47.0143277Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_04cb57cafcbc6e5b_.log 2025-12-04T10:20:47.0144117Z Running 0 items in this shard: 2025-12-04T10:20:47.0144333Z 2025-12-04T10:20:47.0144669Z Finished test_numpy_interop 1/1 ... [2025-12-04 10:20:47.013926][4209.160453196], took 0.07min 2025-12-04T10:20:47.0611107Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numpy_interop/test_numpy_interop-6172057bbfa74dbd.xml 2025-12-04T10:20:48.5355114Z 2025-12-04T10:20:48.5356318Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_a18c6915aaf9037a_.log 2025-12-04T10:20:48.5357221Z Running 0 items in this shard: 2025-12-04T10:20:48.5357443Z 2025-12-04T10:20:48.5357783Z Finished profiler/test_cpp_thread 1/1 ... [2025-12-04 10:20:48.535327][4210.681860259], took 0.08min 2025-12-04T10:20:48.5955640Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_cpp_thread/profiler.test_cpp_thread-59d60a357a4bc0cc.xml 2025-12-04T10:20:49.9033380Z W1204 10:20:49.902000 56333 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:20:51.3307908Z W1204 10:20:51.329000 56361 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:20:51.4415555Z Running test_hub 1/1 ... [2025-12-04 10:20:51.441097][4213.587631769] 2025-12-04T10:20:51.4416026Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:51.4418812Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_hub.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 10:20:51.441590] 2025-12-04T10:20:52.8832324Z Running test_opaque_obj_v2 1/1 ... [2025-12-04 10:20:52.882442][4215.028970603] 2025-12-04T10:20:52.8832906Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:52.8834555Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_opaque_obj_v2.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 10:20:52.883105] 2025-12-04T10:20:55.9507583Z 2025-12-04T10:20:55.9508826Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_b6709113606b4673_.log 2025-12-04T10:20:55.9551708Z Running 100 items in this shard: test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes, test/test_hub.py::TestHub::test_trusted_repo_false_yes 2025-12-04T10:20:55.9593789Z 2025-12-04T10:20:55.9594240Z Finished test_hub 1/1 ... [2025-12-04 10:20:55.950750][4218.097283719], took 0.08min 2025-12-04T10:20:55.9992935Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_hub/test_hub-8c421d096f7aa487.xml 2025-12-04T10:20:57.1011146Z 2025-12-04T10:20:57.1012218Z test_opaque_obj_v2 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_opaque_obj_v2_1.1_8bfc200edfff89aa_.log 2025-12-04T10:20:57.1013034Z Running 0 items in this shard: 2025-12-04T10:20:57.1013231Z 2025-12-04T10:20:57.1013909Z Finished test_opaque_obj_v2 1/1 ... [2025-12-04 10:20:57.101128][4219.247655019], took 0.07min 2025-12-04T10:20:57.1464638Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_opaque_obj_v2/test_opaque_obj_v2-9f2642e8914fdecc.xml 2025-12-04T10:20:58.7922791Z W1204 10:20:58.791000 56599 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:20:59.9969081Z W1204 10:20:59.996000 56621 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:21:00.3429762Z Running test_type_hints 1/1 ... [2025-12-04 10:21:00.342520][4222.489052738] 2025-12-04T10:21:00.3430300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:00.3433694Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_hints.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 10:21:00.343037] 2025-12-04T10:21:01.5306954Z Running functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 10:21:01.530146][4223.676678792] 2025-12-04T10:21:01.5307876Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:01.5309924Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aot_joint_with_descriptors.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 10:21:01.530622] 2025-12-04T10:21:05.7928871Z 2025-12-04T10:21:05.7930603Z functorch/test_aot_joint_with_descriptors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aot_joint_with_descriptors_1.1_a646c5a826a21fc3_.log 2025-12-04T10:21:05.7932165Z Running 0 items in this shard: 2025-12-04T10:21:05.7932464Z 2025-12-04T10:21:05.7933067Z Finished functorch/test_aot_joint_with_descriptors 1/1 ... [2025-12-04 10:21:05.792833][4227.939365338], took 0.07min 2025-12-04T10:21:05.8373096Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aot_joint_with_descriptors/functorch.test_aot_joint_with_descriptors-3f6e35f132d4c789.xml 2025-12-04T10:21:08.5969895Z W1204 10:21:08.595000 57045 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:21:10.1283274Z Running test_functionalization_of_rng_ops 1/1 ... [2025-12-04 10:21:10.127901][4232.274434194] 2025-12-04T10:21:10.1283958Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:10.1287230Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functionalization_of_rng_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 10:21:10.128381] 2025-12-04T10:21:14.6399379Z 2025-12-04T10:21:14.6400574Z test_functionalization_of_rng_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_of_rng_ops_1.1_b8574f3b7ff642b9_.log 2025-12-04T10:21:14.6401541Z Running 0 items in this shard: 2025-12-04T10:21:14.6401809Z 2025-12-04T10:21:14.6402308Z Finished test_functionalization_of_rng_ops 1/1 ... [2025-12-04 10:21:14.639822][4236.786356009], took 0.08min 2025-12-04T10:21:14.7198313Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization_of_rng_ops/test_functionalization_of_rng_ops-d4c0ad24a64ef950.xml 2025-12-04T10:21:17.4682284Z W1204 10:21:17.467000 57379 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:21:18.9516306Z Running test_fx_reinplace_pass 1/1 ... [2025-12-04 10:21:18.951122][4241.097654823] 2025-12-04T10:21:18.9517009Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:18.9519316Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_reinplace_pass.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 10:21:18.951633] 2025-12-04T10:21:22.8624933Z 2025-12-04T10:21:22.8626908Z test_fx_reinplace_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_reinplace_pass_1.1_cf07d175569e6c58_.log 2025-12-04T10:21:22.8627861Z Running 0 items in this shard: 2025-12-04T10:21:22.8628057Z 2025-12-04T10:21:22.8628371Z Finished test_fx_reinplace_pass 1/1 ... [2025-12-04 10:21:22.862323][4245.008851593], took 0.07min 2025-12-04T10:21:22.9076225Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_reinplace_pass/test_fx_reinplace_pass-ed08c241614be863.xml 2025-12-04T10:21:25.6161768Z W1204 10:21:25.614000 57701 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:21:27.1472061Z Running functorch/test_control_flow 1/1 ... [2025-12-04 10:21:27.146657][4249.293187745] 2025-12-04T10:21:27.1472938Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:27.1476405Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_control_flow.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 10:21:27.147236] 2025-12-04T10:21:36.4087684Z 2025-12-04T10:21:36.4089316Z functorch/test_control_flow 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_1.1_bc44d11ab7a6cfb7_.log 2025-12-04T10:21:36.4090898Z Running 0 items in this shard: 2025-12-04T10:21:36.4091262Z 2025-12-04T10:21:36.4092185Z Finished functorch/test_control_flow 1/1 ... [2025-12-04 10:21:36.408665][4258.555191538], took 0.15min 2025-12-04T10:21:36.4550113Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_control_flow/functorch.test_control_flow-d7d1182774d68811.xml 2025-12-04T10:21:39.2120595Z W1204 10:21:39.211000 58215 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:21:40.6798377Z Running nn/test_packed_sequence 1/1 ... [2025-12-04 10:21:40.679316][4262.825849041] 2025-12-04T10:21:40.6799304Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:40.6802534Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_packed_sequence.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 10:21:40.679823] 2025-12-04T10:21:44.5929324Z 2025-12-04T10:21:44.5930917Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_d02f10f28cf1898c_.log 2025-12-04T10:21:44.5932424Z Running 0 items in this shard: 2025-12-04T10:21:44.5932710Z 2025-12-04T10:21:44.5933253Z Finished nn/test_packed_sequence 1/1 ... [2025-12-04 10:21:44.592815][4266.739348819], took 0.07min 2025-12-04T10:21:44.6388772Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_packed_sequence/nn.test_packed_sequence-d1013d844c026d6f.xml 2025-12-04T10:21:47.3468307Z W1204 10:21:47.345000 58481 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:21:48.8592161Z Running test_numa_binding 1/1 ... [2025-12-04 10:21:48.858701][4271.005233277] 2025-12-04T10:21:48.8593003Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:48.8595930Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numa_binding.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 10:21:48.859183] 2025-12-04T10:21:52.9289885Z 2025-12-04T10:21:52.9291590Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_77b7c76dba7f7407_.log 2025-12-04T10:21:52.9292577Z Running 0 items in this shard: 2025-12-04T10:21:52.9292778Z 2025-12-04T10:21:52.9293070Z Finished test_numa_binding 1/1 ... [2025-12-04 10:21:52.928867][4275.075399658], took 0.07min 2025-12-04T10:21:52.9784945Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numa_binding/test_numa_binding-62725b9ad6dd09a6.xml 2025-12-04T10:21:55.7518726Z W1204 10:21:55.751000 58815 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:21:57.2298006Z Running test_pruning_op 1/1 ... [2025-12-04 10:21:57.229291][4279.375824206] 2025-12-04T10:21:57.2298767Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:57.2303487Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_pruning_op.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 10:21:57.229890] 2025-12-04T10:22:01.1281519Z 2025-12-04T10:22:01.1282525Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_e325945af08e9b3d_.log 2025-12-04T10:22:01.1283316Z Running 0 items in this shard: 2025-12-04T10:22:01.1283528Z 2025-12-04T10:22:01.1283870Z Finished test_pruning_op 1/1 ... [2025-12-04 10:22:01.128091][4283.274623951], took 0.06min 2025-12-04T10:22:01.1753531Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pruning_op/test_pruning_op-76a0abf1d04a988c.xml 2025-12-04T10:22:03.9348120Z W1204 10:22:03.934000 59137 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:22:05.4442123Z Running test_jit_fuser_te 1/1 ... [2025-12-04 10:22:05.443606][4287.590138612] 2025-12-04T10:22:05.4443223Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:22:05.4444671Z Executing ['/opt/conda/envs/py_3.10/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 10:22:05.444109] 2025-12-04T10:22:14.2231992Z 2025-12-04T10:22:14.2233050Z 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_166ad352fa6d384b_.log 2025-12-04T10:22:14.2279145Z Running 150 items in this shard: test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check 2025-12-04T10:22:14.2323484Z 2025-12-04T10:22:14.2323847Z Finished test_jit_fuser_te 1/1 ... [2025-12-04 10:22:14.223407][4296.369940251], took 0.15min 2025-12-04T10:22:14.2700201Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_fuser_te/test_jit_fuser_te-f440f768d16f6003.xml 2025-12-04T10:22:17.0356033Z W1204 10:22:17.034000 59648 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:22:18.5222450Z Running test_logging 1/1 ... [2025-12-04 10:22:18.521758][4300.668290647] 2025-12-04T10:22:18.5222972Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:22:18.5225393Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_logging.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 10:22:18.522237] 2025-12-04T10:22:22.4118909Z 2025-12-04T10:22:22.4119869Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_495387632fd125ff_.log 2025-12-04T10:22:22.4121788Z Running 0 items in this shard: 2025-12-04T10:22:22.4122153Z 2025-12-04T10:22:22.4122516Z Finished test_logging 1/1 ... [2025-12-04 10:22:22.411749][4304.558283152], took 0.06min 2025-12-04T10:22:22.4580196Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_logging/test_logging-6995d9c373b72f17.xml 2025-12-04T10:22:25.1300360Z W1204 10:22:25.129000 59982 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:22:26.6704646Z Running nn/test_lazy_modules 1/1 ... [2025-12-04 10:22:26.669942][4308.816474667] 2025-12-04T10:22:26.6705210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:22:26.6707650Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_lazy_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 10:22:26.670410] 2025-12-04T10:22:31.0497899Z 2025-12-04T10:22:31.0499338Z nn/test_lazy_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_lazy_modules_1.1_bec2f24c3b50706c_.log 2025-12-04T10:22:31.0500652Z Running 0 items in this shard: 2025-12-04T10:22:31.0500963Z 2025-12-04T10:22:31.0501391Z Finished nn/test_lazy_modules 1/1 ... [2025-12-04 10:22:31.049661][4313.196192434], took 0.07min 2025-12-04T10:22:31.0968029Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_lazy_modules/nn.test_lazy_modules-8a5e01e051ed271c.xml 2025-12-04T10:22:33.8569730Z W1204 10:22:33.856000 60262 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:22:35.3364606Z Running nn/test_pruning 1/1 ... [2025-12-04 10:22:35.335975][4317.482507278] 2025-12-04T10:22:35.3365577Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:22:35.3368454Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_pruning.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 10:22:35.336514] 2025-12-04T10:22:39.6095989Z 2025-12-04T10:22:39.6097149Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_3a19cea5f7d84595_.log 2025-12-04T10:22:39.6097981Z Running 0 items in this shard: 2025-12-04T10:22:39.6098184Z 2025-12-04T10:22:39.6098474Z Finished nn/test_pruning 1/1 ... [2025-12-04 10:22:39.609457][4321.755988723], took 0.07min 2025-12-04T10:22:39.6560900Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pruning/nn.test_pruning-6e401f0a31658f04.xml 2025-12-04T10:22:42.4382046Z W1204 10:22:42.437000 60584 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:22:43.9498138Z Running test_monitor 1/1 ... [2025-12-04 10:22:43.949326][4326.095859091] 2025-12-04T10:22:43.9498640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:22:43.9501382Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_monitor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:22:43.949769] 2025-12-04T10:22:47.9022461Z 2025-12-04T10:22:47.9024344Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_cff2d2e87249fe59_.log 2025-12-04T10:22:47.9025110Z Running 0 items in this shard: 2025-12-04T10:22:47.9025309Z 2025-12-04T10:22:47.9025617Z Finished test_monitor 1/1 ... [2025-12-04 10:22:47.902228][4330.048755564], took 0.07min 2025-12-04T10:22:47.9536944Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_monitor/test_monitor-230ad25d12c7f926.xml 2025-12-04T10:22:50.6853345Z W1204 10:22:50.684000 60906 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:22:52.2320395Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 10:22:52.231474][4334.378007369] 2025-12-04T10:22:52.2321432Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:22:52.2324820Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:22:52.232005] 2025-12-04T10:22:56.0373188Z 2025-12-04T10:22:56.0374506Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_e53647c8e6ede971_.log 2025-12-04T10:22:56.0375626Z Running 0 items in this shard: 2025-12-04T10:22:56.0375917Z 2025-12-04T10:22:56.0376310Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 10:22:56.037183][4338.183710349], took 0.06min 2025-12-04T10:22:56.0856877Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-cd48382481dc0c51.xml 2025-12-04T10:22:58.8969851Z W1204 10:22:58.896000 61228 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:23:00.4443723Z Running test_bundled_inputs 1/1 ... [2025-12-04 10:23:00.443864][4342.590395483] 2025-12-04T10:23:00.4444672Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:00.4448078Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_bundled_inputs.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 10:23:00.444379] 2025-12-04T10:23:04.3860732Z 2025-12-04T10:23:04.3861742Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_fe897b3855905970_.log 2025-12-04T10:23:04.3862564Z Running 0 items in this shard: 2025-12-04T10:23:04.3862781Z 2025-12-04T10:23:04.3863069Z Finished test_bundled_inputs 1/1 ... [2025-12-04 10:23:04.385830][4346.532362233], took 0.07min 2025-12-04T10:23:04.4342849Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_bundled_inputs/test_bundled_inputs-27d4a1654c1e5d61.xml 2025-12-04T10:23:07.1746482Z W1204 10:23:07.173000 61550 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:23:08.7488603Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 10:23:08.748360][4350.89489224] 2025-12-04T10:23:08.7489228Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:08.7492292Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.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 10:23:08.748895] 2025-12-04T10:23:13.2595591Z 2025-12-04T10:23:13.2596846Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_ddd06a905808b08e_.log 2025-12-04T10:23:13.2597861Z Running 0 items in this shard: 2025-12-04T10:23:13.2598056Z 2025-12-04T10:23:13.2598433Z Finished torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 10:23:13.259462][4355.405994429], took 0.08min 2025-12-04T10:23:13.3069083Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numeric/torch_np.numpy_tests.core.test_numeric-50b86943611237f2.xml 2025-12-04T10:23:16.0952365Z W1204 10:23:16.094000 61914 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:23:17.6195220Z Running torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 10:23:17.619083][4359.765611877] 2025-12-04T10:23:17.6195871Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:17.6199575Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_multiarray.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 10:23:17.619615] 2025-12-04T10:23:23.4153261Z 2025-12-04T10:23:23.4155356Z torch_np/numpy_tests/core/test_multiarray 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_multiarray_1.1_eacbdf6bed921289_.log 2025-12-04T10:23:23.4157375Z Running 0 items in this shard: 2025-12-04T10:23:23.4157686Z 2025-12-04T10:23:23.4158090Z Finished torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 10:23:23.415172][4365.561691922], took 0.10min 2025-12-04T10:23:23.4881727Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_multiarray/torch_np.numpy_tests.core.test_multiarray-c464be1eb2785cff.xml 2025-12-04T10:23:26.2117911Z W1204 10:23:26.210000 62242 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:23:27.7351861Z Running test_itt 1/1 ... [2025-12-04 10:23:27.734733][4369.881265786] 2025-12-04T10:23:27.7352335Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:27.7354976Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_itt.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 10:23:27.735194] 2025-12-04T10:23:31.6159255Z 2025-12-04T10:23:31.6160517Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_41366c5121dd35bb_.log 2025-12-04T10:23:31.6161254Z Running 0 items in this shard: 2025-12-04T10:23:31.6161479Z 2025-12-04T10:23:31.6161712Z Finished test_itt 1/1 ... [2025-12-04 10:23:31.615788][4373.762322226], took 0.06min 2025-12-04T10:23:31.6904652Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_itt/test_itt-0eb37b36472580a7.xml 2025-12-04T10:23:34.4344682Z W1204 10:23:34.433000 62516 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:23:35.9776816Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 10:23:35.976854][4378.123378143] 2025-12-04T10:23:35.9777862Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:35.9782211Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/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 10:23:35.977716] 2025-12-04T10:23:40.9801812Z 2025-12-04T10:23:40.9803325Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_650638d1a26b0a5c_.log 2025-12-04T10:23:40.9804643Z Running 0 items in this shard: 2025-12-04T10:23:40.9804981Z 2025-12-04T10:23:40.9805729Z Finished torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 10:23:40.980063][4383.126596906], took 0.08min 2025-12-04T10:23:41.0604930Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_function_base/torch_np.numpy_tests.lib.test_function_base-cfc1837e65650bee.xml 2025-12-04T10:23:43.9080826Z W1204 10:23:43.907000 62886 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:23:45.3740448Z Running test_sympy_utils 1/1 ... [2025-12-04 10:23:45.373643][4387.52017607] 2025-12-04T10:23:45.3741007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:45.3743592Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sympy_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 10:23:45.374084] 2025-12-04T10:23:49.9582902Z 2025-12-04T10:23:49.9584452Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_e6f57346ee92178a_.log 2025-12-04T10:23:49.9585278Z Running 0 items in this shard: 2025-12-04T10:23:49.9585477Z 2025-12-04T10:23:49.9585754Z Finished test_sympy_utils 1/1 ... [2025-12-04 10:23:49.958167][4392.10469899], took 0.08min 2025-12-04T10:23:50.0064617Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sympy_utils/test_sympy_utils-4f2ae2f7a3eb5a52.xml 2025-12-04T10:23:52.7672410Z W1204 10:23:52.766000 63208 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:23:54.3411476Z Running test_subclass 1/1 ... [2025-12-04 10:23:54.340565][4396.487096545] 2025-12-04T10:23:54.3412344Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:54.3414648Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_subclass.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 10:23:54.341050] 2025-12-04T10:23:58.5025766Z 2025-12-04T10:23:58.5026728Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_406d98a0ecc28ae4_.log 2025-12-04T10:23:58.5027502Z Running 0 items in this shard: 2025-12-04T10:23:58.5027704Z 2025-12-04T10:23:58.5028013Z Finished test_subclass 1/1 ... [2025-12-04 10:23:58.502429][4400.648963582], took 0.07min 2025-12-04T10:23:58.5819120Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_subclass/test_subclass-6cb5463d723be37c.xml 2025-12-04T10:24:01.2524597Z W1204 10:24:01.251000 63626 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:24:02.7775516Z Running test_import_stats 1/1 ... [2025-12-04 10:24:02.777016][4404.923549878] 2025-12-04T10:24:02.7776459Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:24:02.7779002Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_import_stats.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 10:24:02.777498] 2025-12-04T10:24:06.5670413Z 2025-12-04T10:24:06.5671981Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_e364bf018c42a6f8_.log 2025-12-04T10:24:06.5672792Z Running 0 items in this shard: 2025-12-04T10:24:06.5673007Z 2025-12-04T10:24:06.5673298Z Finished test_import_stats 1/1 ... [2025-12-04 10:24:06.566927][4408.713458683], took 0.06min 2025-12-04T10:24:06.6160511Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_import_stats/test_import_stats-699b262931cf485c.xml 2025-12-04T10:24:09.4282468Z W1204 10:24:09.427000 63948 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:24:10.9647089Z Running functorch/test_vmap_registrations 1/1 ... [2025-12-04 10:24:10.964208][4413.110740316] 2025-12-04T10:24:10.9648199Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:24:10.9651231Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_vmap_registrations.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 10:24:10.964699] 2025-12-04T10:24:18.3803150Z 2025-12-04T10:24:18.3804858Z functorch/test_vmap_registrations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_registrations_1.1_dbeed2c23bfd41c5_.log 2025-12-04T10:24:18.3806364Z Running 0 items in this shard: 2025-12-04T10:24:18.3806646Z 2025-12-04T10:24:18.3807241Z Finished functorch/test_vmap_registrations 1/1 ... [2025-12-04 10:24:18.380210][4420.526742179], took 0.12min 2025-12-04T10:24:18.4297646Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap_registrations/functorch.test_vmap_registrations-0c1f6cd83a00644e.xml 2025-12-04T10:24:21.1904698Z W1204 10:24:21.189000 64270 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:24:22.6949447Z Running nn/test_parametrization 1/1 ... [2025-12-04 10:24:22.694550][4424.841082174] 2025-12-04T10:24:22.6950026Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:24:22.6953815Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_parametrization.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 10:24:22.695071] 2025-12-04T10:24:27.2176662Z 2025-12-04T10:24:27.2178105Z nn/test_parametrization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_parametrization_1.1_0c249ba3f826a721_.log 2025-12-04T10:24:27.2216563Z Running 50 items in this shard: test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True, test/nn/test_parametrization.py::TestNNParametrization::test_caching_parametrization_with_transfer_parametrizations_and_params_swap_True 2025-12-04T10:24:27.2249751Z 2025-12-04T10:24:27.2250076Z Finished nn/test_parametrization 1/1 ... [2025-12-04 10:24:27.217741][4429.364272409], took 0.08min 2025-12-04T10:24:27.2670524Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_parametrization/nn.test_parametrization-e8017d238d2f5c4f.xml 2025-12-04T10:24:29.9317856Z W1204 10:24:29.931000 64634 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:24:31.4595326Z Running test_mkldnn_fusion 1/1 ... [2025-12-04 10:24:31.459074][4433.605605873] 2025-12-04T10:24:31.4596105Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:24:31.4599906Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkldnn_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 10:24:31.459604] 2025-12-04T10:39:28.0936276Z 2025-12-04T10:39:28.0937138Z PRINTING LOG FILE of test_mkldnn_fusion 1/1 (test/test-reports/test_mkldnn_fusion_1.1_69ea9bb783c6cb2a_.log) 2025-12-04T10:39:28.0988912Z W1204 10:24:33.287000 64753 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:39:28.0990373Z Test results will be stored in test-reports/python-pytest/test_mkldnn_fusion/test_mkldnn_fusion-c61245704fdd7757.xml 2025-12-04T10:39:28.0991125Z ============================= test session starts ============================== 2025-12-04T10:39:28.0991746Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:39:28.0992321Z cachedir: .pytest_cache 2025-12-04T10:39:28.0993018Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:39:28.1002665Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:39:28.1002990Z configfile: pytest.ini 2025-12-04T10:39:28.1003675Z 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 2025-12-04T10:39:28.1004493Z collecting ... collected 8 items 2025-12-04T10:39:28.1004862Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:39:28.1027592Z Running 50 items in this shard: test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops 2025-12-04T10:39:28.1050360Z 2025-12-04T10:39:28.1050716Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [24.5541s] [ 2%] 2025-12-04T10:39:28.1051508Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [23.3706s] [ 2%] 2025-12-04T10:39:28.1052270Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [23.5415s] [ 2%] 2025-12-04T10:39:28.1054214Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [23.5164s] [ 2%] 2025-12-04T10:39:28.1054993Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [22.9216s] [ 2%] 2025-12-04T10:39:28.1055773Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [23.4296s] [ 2%] 2025-12-04T10:39:28.1056545Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [22.6108s] [ 2%] 2025-12-04T10:39:28.1057327Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [23.1520s] [ 2%] 2025-12-04T10:39:28.1058104Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [23.6150s] [ 2%] 2025-12-04T10:39:28.1058858Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [23.5320s] [ 2%] 2025-12-04T10:39:28.1059628Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [24.2556s] [ 2%] 2025-12-04T10:39:28.1060404Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [23.8094s] [ 2%] 2025-12-04T10:39:28.1061178Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [23.3363s] [ 2%] 2025-12-04T10:39:28.1061933Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [24.4957s] [ 2%] 2025-12-04T10:39:28.1062710Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [23.8156s] [ 2%] 2025-12-04T10:39:28.1063500Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [25.3443s] [ 2%] 2025-12-04T10:39:28.1064272Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [24.4683s] [ 2%] 2025-12-04T10:39:28.1065032Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [24.5469s] [ 2%] 2025-12-04T10:39:28.1065811Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [24.8987s] [ 2%] 2025-12-04T10:39:28.1066589Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [27.0571s] [ 2%] 2025-12-04T10:39:28.1067376Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [26.0869s] [ 2%] 2025-12-04T10:39:28.1068137Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [24.3065s] [ 2%] 2025-12-04T10:39:28.1068917Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [23.1470s] [ 2%] 2025-12-04T10:39:28.1069942Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [24.6661s] [ 2%] 2025-12-04T10:39:28.1070705Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [24.5443s] [ 2%] 2025-12-04T10:39:28.1071486Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [24.1646s] [ 2%] 2025-12-04T10:39:28.1072261Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [23.4853s] [ 2%] 2025-12-04T10:39:28.1073039Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [22.8706s] [ 2%] 2025-12-04T10:39:28.1073812Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [24.0562s] [ 2%] 2025-12-04T10:39:28.1074588Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [24.2876s] [ 2%] 2025-12-04T10:39:28.1075363Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [23.9969s] [ 2%] 2025-12-04T10:39:28.1076147Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [24.1282s] [ 2%] 2025-12-04T10:39:28.1076913Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [23.9259s] [ 2%] 2025-12-04T10:39:28.1077698Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [24.0436s] [ 2%] 2025-12-04T10:39:28.1078479Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [24.5056s] [ 2%] 2025-12-04T10:39:28.1079258Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops PASSED [26.1857s] [ 2%] 2025-12-04T10:39:28.1079933Z test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops 2025-12-04T10:39:28.1080757Z FINISHED PRINTING LOG FILE of test_mkldnn_fusion 1/1 (test/test-reports/test_mkldnn_fusion_1.1_69ea9bb783c6cb2a_.log) 2025-12-04T10:39:28.1081313Z 2025-12-04T10:39:28.1211574Z Finished test_mkldnn_fusion 1/1 ... [2025-12-04 10:39:28.103140][5330.24471896], took 14.94min 2025-12-04T10:39:30.0899230Z 2025-12-04T10:39:30.0900154Z PRINTING LOG FILE of test_type_hints 1/1 (test/test-reports/test_type_hints_1.1_7b189357d75d0a8c_.log) 2025-12-04T10:39:30.0901187Z W1204 10:21:02.203000 56735 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:39:30.0902214Z Test results will be stored in test-reports/python-pytest/test_type_hints/test_type_hints-3e8dbe255be5c302.xml 2025-12-04T10:39:30.0902935Z ============================= test session starts ============================== 2025-12-04T10:39:30.0903586Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:39:30.0904176Z cachedir: .pytest_cache 2025-12-04T10:39:30.0904828Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:39:30.0905570Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:39:30.0905913Z configfile: pytest.ini 2025-12-04T10:39:30.0906828Z 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 2025-12-04T10:39:30.0907577Z collecting ... collected 1 item 2025-12-04T10:39:30.0907960Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:39:30.0920980Z Running 50 items in this shard: test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples, test/test_type_hints.py::TestTypeHints::test_doc_examples 2025-12-04T10:39:30.0934074Z 2025-12-04T10:39:30.0934374Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [36.3018s] [ 2%] 2025-12-04T10:39:30.0961999Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [20.6369s] [ 2%] 2025-12-04T10:39:30.0962713Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [20.5825s] [ 2%] 2025-12-04T10:39:30.0963383Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [20.7099s] [ 2%] 2025-12-04T10:39:30.0964132Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [20.7396s] [ 2%] 2025-12-04T10:39:30.0964811Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [21.1179s] [ 2%] 2025-12-04T10:39:30.0965456Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [21.0220s] [ 2%] 2025-12-04T10:39:30.0988540Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [21.3165s] [ 2%] 2025-12-04T10:39:30.0989213Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [21.3407s] [ 2%] 2025-12-04T10:39:30.0989868Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [23.1617s] [ 2%] 2025-12-04T10:39:30.0990524Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [25.8140s] [ 2%] 2025-12-04T10:39:30.0991180Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [22.8675s] [ 2%] 2025-12-04T10:39:30.0991818Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [22.9612s] [ 2%] 2025-12-04T10:39:30.0992472Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [22.2440s] [ 2%] 2025-12-04T10:39:30.0993125Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [29.2364s] [ 2%] 2025-12-04T10:39:30.0993756Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [25.2408s] [ 2%] 2025-12-04T10:39:30.0994416Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [23.5445s] [ 2%] 2025-12-04T10:39:30.0995317Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [27.5036s] [ 2%] 2025-12-04T10:39:30.0995976Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [25.6909s] [ 2%] 2025-12-04T10:39:30.0996618Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [27.8304s] [ 2%] 2025-12-04T10:39:30.0997282Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [28.1677s] [ 2%] 2025-12-04T10:39:30.0997943Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [26.0745s] [ 2%] 2025-12-04T10:39:30.0998589Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [26.6802s] [ 2%] 2025-12-04T10:39:30.0999252Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [25.3856s] [ 2%] 2025-12-04T10:39:30.0999917Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [25.2075s] [ 2%] 2025-12-04T10:39:30.1000581Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [28.6174s] [ 2%] 2025-12-04T10:39:30.1001224Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [31.1873s] [ 2%] 2025-12-04T10:39:30.1001892Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [30.1322s] [ 2%] 2025-12-04T10:39:30.1002560Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [212.3193s] [ 2%] 2025-12-04T10:39:30.1003228Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [34.4452s] [ 2%] 2025-12-04T10:39:30.1004048Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [29.2925s] [ 2%] 2025-12-04T10:39:30.1005005Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [29.9235s] [ 2%] 2025-12-04T10:39:30.1005744Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [32.1408s] [ 2%] 2025-12-04T10:39:30.1006380Z test_type_hints.py::TestTypeHints::test_doc_examples FAILED [28.1043s] [ 2%] 2025-12-04T10:39:30.1006954Z test_type_hints.py::TestTypeHints::test_doc_examples 2025-12-04T10:39:30.1007647Z FINISHED PRINTING LOG FILE of test_type_hints 1/1 (test/test-reports/test_type_hints_1.1_7b189357d75d0a8c_.log) 2025-12-04T10:39:30.1008180Z 2025-12-04T10:39:30.1416881Z Finished test_type_hints 1/1 ... [2025-12-04 10:39:30.137021][5332.278607681], took 18.50min 2025-12-04T10:39:30.3168912Z Failed to upload artifacts: [Errno 2] No such file or directory: '/var/lib/jenkins/workspace/test/test-reports/test_type_hints_1.1_s5supb8k_toprint.log' 2025-12-04T10:39:30.3169810Z Uploading artifacts took 1.36 seconds 2025-12-04T10:39:30.3223784Z test_mkldnn_fusion 1/1 failed! Received signal: SIGKILL 2025-12-04T10:39:32.0872303Z Uploading logs for 57117865638 to S3 2025-12-04T10:39:32.1340065Z Uploading artifacts took 1.70 seconds 2025-12-04T10:39:32.1340860Z test_type_hints 1/1 failed! Received signal: SIGKILL 2025-12-04T10:39:59.7574811Z W1204 10:39:59.756000 85520 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:39:59.7575960Z W1204 10:39:59.756000 85519 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:40:02.8095807Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:40:02.808972][5364.955503279] 2025-12-04T10:40:02.8096657Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:02.8097149Z Running test_dynamic_shapes 1/1 ... [2025-12-04 10:40:02.809047][5364.955577275] 2025-12-04T10:40:02.8097720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:02.8099306Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:40:02.809522] 2025-12-04T10:40:02.8103802Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', '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 10:40:02.809569] 2025-12-04T10:40:09.0183186Z 2025-12-04T10:40:09.0184474Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_75b49ac8d7ec9aff_.log 2025-12-04T10:40:09.0185337Z Running 0 items in this shard: 2025-12-04T10:40:09.0185562Z 2025-12-04T10:40:09.0185895Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:40:09.018226][5371.164759406], took 0.10min 2025-12-04T10:40:09.0303127Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-7172c6e123f04c85.xml 2025-12-04T10:40:11.8746128Z W1204 10:40:11.873000 86034 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:40:13.3891714Z Running complex_tensor/test_complex_tensor 1/1 ... [2025-12-04 10:40:13.388718][5375.535250335] 2025-12-04T10:40:13.3892358Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:13.3895376Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'complex_tensor/test_complex_tensor.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 10:40:13.389226] 2025-12-04T10:40:18.9447653Z 2025-12-04T10:40:18.9449064Z complex_tensor/test_complex_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/complex_tensor.test_complex_tensor_1.1_2c1b40b8ae8a8ce2_.log 2025-12-04T10:40:18.9450325Z Running 0 items in this shard: 2025-12-04T10:40:18.9450552Z 2025-12-04T10:40:18.9450921Z Finished complex_tensor/test_complex_tensor 1/1 ... [2025-12-04 10:40:18.944714][5381.091239247], took 0.09min 2025-12-04T10:40:18.9977195Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/complex_tensor.test_complex_tensor/complex_tensor.test_complex_tensor-b81f9623838c94b8.xml 2025-12-04T10:40:21.7665048Z W1204 10:40:21.765000 86559 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:40:22.4862819Z 2025-12-04T10:40:22.4863814Z PRINTING LOG FILE of test_dynamic_shapes 1/1 (test/test-reports/test_dynamic_shapes_1.1_06fd25ac7a24cb3e_.log) 2025-12-04T10:40:22.4865449Z W1204 10:40:06.232000 85746 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:40:22.4867043Z Test results will be stored in test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-cc4bc5ad55a766c6.xml 2025-12-04T10:40:22.4868203Z ============================= test session starts ============================== 2025-12-04T10:40:22.4868955Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:40:22.4869668Z cachedir: .pytest_cache 2025-12-04T10:40:22.4870607Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:40:22.4871344Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:40:22.4871689Z configfile: pytest.ini 2025-12-04T10:40:22.4872381Z 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 2025-12-04T10:40:22.4873222Z collecting ... collected 378 items 2025-12-04T10:40:22.4873798Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:40:22.4897332Z Running 50 items in this shard: test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs, test/test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.4921713Z 2025-12-04T10:40:22.4922310Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [12.7524s] [ 2%] 2025-12-04T10:40:22.4923624Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0193s] [ 2%] 2025-12-04T10:40:22.4924736Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0193s] [ 2%] 2025-12-04T10:40:22.4926660Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0176s] [ 2%] 2025-12-04T10:40:22.4927904Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0161s] [ 2%] 2025-12-04T10:40:22.4929085Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0161s] [ 2%] 2025-12-04T10:40:22.4929892Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0161s] [ 2%] 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V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.5183713Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.5185311Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.5186966Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.5188577Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.5190203Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.5191942Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.5193683Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5195283Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.5196904Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.5198942Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.5200570Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.5202222Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.5204008Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5205680Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.5207350Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5209060Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.5210800Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5212443Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.5214092Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5215714Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.5217517Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5219119Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.5220657Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.5222029Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.5223353Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.5224679Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.5226093Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.5227658Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.5230171Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.5232846Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.5235214Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.5237762Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.5241001Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.5245955Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5250621Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5253424Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.5256242Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.5259865Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5264523Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5269276Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5271900Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.5274052Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.5276616Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.5279137Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.5281674Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.5284963Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.5288974Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.5291510Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.5293019Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.5294415Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.5295512Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.5296494Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.5298179Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.5303304Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.5308378Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.5309963Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.5311617Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.5313245Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.5314847Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.5316566Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.5318411Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5320026Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.5321622Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.5323261Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.5324960Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.5326639Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.5328289Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5329984Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.5331654Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5333378Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.5335355Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5336974Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.5338593Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5340220Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.5341845Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5343450Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.5344994Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.5346750Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.5348100Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.5349415Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.5350835Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.5352383Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.5354883Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.5357539Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.5359607Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.5362206Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.5365521Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.5370291Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5374876Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5377642Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.5380464Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.5384073Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5388737Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5393130Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5395698Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.5398090Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.5400628Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.5403122Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.5405709Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.5408891Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.5412653Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.5415181Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.5416789Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.5418173Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.5419250Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.5420225Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.5421578Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.5426672Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.5431724Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.5433301Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.5435274Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.5436872Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.5438451Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.5440164Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.5441902Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5443510Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.5445162Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.5447105Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.5448715Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.5450381Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.5452045Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5453725Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.5455409Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5457144Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.5458848Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5460478Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.5462110Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5463755Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.5465586Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5467181Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.5468722Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.5474335Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.5475202Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.5475970Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.5480798Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.5491350Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.5494035Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.5501437Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.5510091Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.5512919Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.5516293Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.5525801Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5535646Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5543430Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.5552648Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.5559864Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5568406Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5578583Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5586184Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.5592349Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.5598567Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.5605143Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.5612495Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.5615766Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.5629935Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.5635465Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.5636858Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.5638157Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.5639111Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.5639677Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.5640668Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.5643962Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.5647511Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.5648954Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.5650522Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.5652041Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.5653530Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.5655149Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.5656882Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5658429Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.5659955Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.5661493Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.5663035Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.5664598Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.5665657Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5666548Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.5667446Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5668386Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.5669415Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5670297Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.5671174Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5672043Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.5673010Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5673867Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.5674686Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.5675793Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.5677060Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.5678283Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.5679454Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.5680925Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.5683299Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.5685938Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.5687909Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.5690402Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.5693503Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.5698039Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5702706Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5705505Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.5707147Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.5709045Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5712313Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5714714Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5716166Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.5718149Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.5719522Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.5720897Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.5723054Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.5724857Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.5727679Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.5729409Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.5730346Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.5731119Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.5731771Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.5732751Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.5733780Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.5737062Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.5740689Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.5741541Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.5742765Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.5744105Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.5744974Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.5745905Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.5747232Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5748860Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.5749773Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.5750885Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.5751776Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.5753258Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.5754386Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5755290Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.5756185Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5757708Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.5759261Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5760137Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.5761017Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5761883Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.5763385Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5764618Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.5765450Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.5766198Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.5766909Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.5767617Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.5768383Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.5769642Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.5771785Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.5773191Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.5774288Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.5775658Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.5778206Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.5780749Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5783630Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5785099Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.5787257Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.5789674Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5792678Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5795132Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5796490Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.5797744Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.5799104Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.5800440Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.5801972Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.5803673Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.5805819Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.5807172Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.5807983Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.5808739Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.5809494Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.5810046Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.5810900Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.5813839Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.5816490Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.5817380Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.5818430Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.5819312Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.5820171Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.5821224Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.5822342Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5823216Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.5824079Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.5824960Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.5826037Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.5826941Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.5827833Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5828751Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.5829885Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5830817Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.5831736Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5832619Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.5833583Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5834961Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.5835836Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5836696Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.5837580Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.5838510Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.5839423Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.5840147Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.5840914Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.5841756Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.5843168Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.5844839Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.5845935Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.5847485Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.5849325Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.5851879Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5854446Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5856005Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.5857702Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.5859643Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5862337Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5864732Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5866263Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.5867556Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.5868930Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.5870472Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.5871823Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.5873579Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.5875738Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.5877068Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.5877956Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.5878908Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.5879505Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.5880043Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.5880783Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.5883708Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.5886507Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.5887523Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.5888400Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.5889280Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.5890240Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.5891268Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.5892243Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5893101Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.5894043Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.5894943Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.5896093Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.5896996Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.5897876Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5898775Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.5899762Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5900824Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.5901740Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5902619Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.5903496Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5904428Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.5905501Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5906360Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.5907188Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.5907948Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.5908658Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.5909432Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.5910334Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.5911181Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.5912510Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.5914079Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.5915257Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.5916638Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.5918399Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.5921071Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5923929Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5925413Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.5926921Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.5928916Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5931374Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5933903Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.5936018Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.5937424Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.5938782Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.5940230Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.5941595Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.5943363Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.5945348Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.5946686Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.5947481Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.5948249Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.5948844Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.5949540Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.5950298Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.5953017Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.5955690Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.5956556Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.5957458Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.5958336Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.5959228Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.5960169Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.5961150Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5962219Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.5963112Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.5964081Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.5964962Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.5969057Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.5973469Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5977803Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.5982556Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5987879Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.5988886Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5992624Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.5996734Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.5997683Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.6001853Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6006035Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.6006901Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.6007875Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.6008933Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.6016813Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.6024147Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.6028965Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.6038176Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.6039744Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.6041769Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.6050656Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.6058717Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.6071435Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6075238Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6081379Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.6087350Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.6089329Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6096244Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6103144Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6108927Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.6110422Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.6115951Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.6121673Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.6123232Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.6128601Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.6135158Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.6140318Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.6141275Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.6145837Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.6150985Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.6151652Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.6160620Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.6167970Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.6177080Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.6178060Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.6183435Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.6189049Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.6190024Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.6195731Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.6201218Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6202140Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.6207392Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.6212683Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.6217035Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.6218982Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.6224773Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6230338Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.6231347Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6237402Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.6246871Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6247864Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.6252488Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6256672Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.6267901Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6268868Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.6273507Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.6278465Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.6279291Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.6285372Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.6292269Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.6293187Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.6299560Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.6306676Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.6313558Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.6315006Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.6321327Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.6328257Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6330826Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6336576Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.6345682Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.6354178Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6358886Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6369327Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6376602Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.6378965Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.6386711Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.6394130Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.6396800Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.6405142Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.6412924Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.6419953Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.6421600Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.6426778Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.6431434Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.6433200Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.6444381Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.6454417Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.6459807Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.6466298Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.6472432Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.6478316Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.6480087Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.6485448Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.6490643Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6492765Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.6498831Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.6504111Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.6505929Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.6512535Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.6520181Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6522074Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.6529321Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6536011Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.6537910Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6544552Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.6551108Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6557691Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.6559476Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6565985Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.6572944Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.6574630Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.6580844Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.6587122Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.6588744Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.6594058Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.6600644Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.6603493Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.6610508Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.6618230Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.6621518Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.6630978Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6641007Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6648294Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.6651339Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.6658953Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6668157Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6672911Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6679248Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.6686302Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.6694957Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.6701969Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.6704746Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.6711516Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.6719866Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.6722548Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.6728736Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.6733714Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.6735673Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.6741358Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.6746599Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.6755329Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.6760507Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.6769447Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.6774682Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.6776353Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.6777979Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.6779717Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.6781460Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6783071Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.6784881Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.6786598Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.6788231Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.6789912Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.6791592Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6793292Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.6794971Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6796707Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.6798431Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6800079Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.6801736Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6803371Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.6843595Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6845421Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.6847024Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.6848441Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.6849773Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.6851093Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.6852512Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.6854110Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.6856631Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.6859309Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.6861351Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.6863946Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.6867219Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.6872138Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6876843Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6879610Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.6882381Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.6886084Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6890767Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6895553Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6898156Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.6900299Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.6902854Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.6905350Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.6907932Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.6911138Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.6914928Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.6917472Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.6918973Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.6920398Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.6921467Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.6922610Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.6924105Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.6929250Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.6934317Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.6936189Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.6937800Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.6939416Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.6940956Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.6942632Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.6944435Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6946008Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.6947566Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.6949041Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.6950538Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.6952123Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.6953813Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6955482Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.6957163Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6958890Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.6960624Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6962260Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.6964007Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6965661Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.6967297Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.6968887Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.6970663Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.6972143Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.6973459Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.6974768Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.6976209Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.6977789Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.6980315Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.6982970Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.6985018Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.6987627Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.6990883Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.6995641Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.6999939Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7002638Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.7005664Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7009322Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7013998Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7018678Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7021300Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.7023751Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.7026375Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.7028921Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.7031545Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.7035115Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7038994Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7041555Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7043219Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.7044739Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.7045830Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.7046818Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.7048210Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.7053503Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.7058740Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.7060365Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.7062006Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.7063678Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.7065332Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.7067101Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.7068861Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7070512Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.7072362Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.7074101Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.7075744Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.7077458Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.7079173Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7080894Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.7082608Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7084460Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.7086235Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7087912Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.7089585Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7091256Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.7093014Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7094640Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.7096201Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.7097625Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.7098981Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.7100333Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7101777Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.7103385Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.7105956Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.7108668Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.7110746Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.7113399Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.7116720Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7121579Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7126395Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7129259Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.7132147Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7136225Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7141049Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7145931Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7148370Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.7150416Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.7152919Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.7155459Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.7158064Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.7161319Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7165230Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7167746Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7169241Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.7170467Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.7171487Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.7172452Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.7173248Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.7175967Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.7178604Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.7179461Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.7180340Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.7181200Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.7182071Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.7182999Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.7183968Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7184822Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.7185696Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.7186571Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.7187420Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.7188323Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.7189227Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7190133Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.7191016Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7191941Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.7192870Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7193746Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.7194610Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7195489Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.7196371Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7197326Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.7198871Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.7199676Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.7200404Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.7201120Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7201876Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.7202729Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.7204235Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.7205646Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.7206739Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.7208114Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.7209889Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7212334Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7214739Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7216212Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.7217702Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7219605Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7222057Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7224878Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7226556Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.7227822Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.7229181Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.7230571Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.7232037Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.7233722Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7236070Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7237417Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7238309Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.7239081Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.7239667Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.7240227Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.7240971Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.7243698Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.7246434Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.7247272Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.7248156Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.7249035Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.7249912Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.7250832Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.7251759Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7252626Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.7253591Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.7254490Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.7255358Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.7256486Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.7257458Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7258578Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.7259945Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7261358Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.7262814Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7264324Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.7265895Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7267507Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.7269215Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7270854Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.7272423Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.7273820Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.7275151Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.7276458Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7277900Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.7279481Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.7281955Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.7284747Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.7286742Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.7289399Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.7292678Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7297588Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7302369Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7305221Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.7308123Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7311811Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7316606Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7321453Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7324194Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.7326373Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.7328983Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.7331562Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.7334182Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.7337732Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7341559Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7344135Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7345675Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.7347118Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.7348202Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.7349485Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.7350926Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.7356194Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.7361389Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.7363011Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.7364729Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.7366381Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.7368011Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.7369747Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.7371632Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7373270Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.7374927Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.7376569Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.7378212Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.7379938Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.7381655Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7383361Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.7385072Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7386840Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.7388595Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7390252Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.7391938Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7393615Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.7395303Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7396898Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.7398618Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.7400100Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.7401448Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.7402796Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7404347Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.7405950Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.7408506Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.7411199Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.7413277Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.7415923Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.7419349Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7423417Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7427943Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7430694Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.7433502Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7437369Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7442039Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7446695Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7449281Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.7451693Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.7454247Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.7456717Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.7459280Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.7462474Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7466232Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7468715Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7470279Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.7471714Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.7472785Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.7473767Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.7475108Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.7480282Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.7485484Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.7487067Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.7488688Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.7490312Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.7491929Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.7493634Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.7495344Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7496951Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.7498702Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.7500385Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.7501986Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.7503671Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.7505360Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7507031Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.7508677Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7510419Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.7512160Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7513794Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.7515419Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7517050Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.7518813Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7520398Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.7521930Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.7523314Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.7524745Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.7526066Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7527481Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.7529066Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.7531570Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.7534223Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.7536297Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.7538527Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.7541728Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7546550Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7551222Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7553990Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.7556771Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7560383Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7565120Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7569836Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7572402Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.7574543Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.7577086Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.7579576Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.7582141Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.7585331Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7589101Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7591608Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7593097Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.7594503Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.7595566Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.7596732Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.7598071Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.7603174Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.7608317Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.7609901Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.7611543Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.7613148Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.7614756Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.7616481Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.7618294Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7619886Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.7621540Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.7623151Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.7624774Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.7626434Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.7628122Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7629807Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.7631487Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7633214Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.7635352Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7636947Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.7638577Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7640242Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.7641878Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7643450Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.7645281Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.7646733Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.7648042Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.7649365Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7650783Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.7652375Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.7654854Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.7657514Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.7659546Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.7662150Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.7665530Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7670173Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7674739Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7677524Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.7680339Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7684050Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7686761Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7688411Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7689241Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.7690499Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.7691632Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.7692779Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.7693959Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.7695750Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7697500Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7698024Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7698826Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.7699260Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.7699648Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.7700036Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.7700751Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.7704940Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.7705607Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.7706311Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.7707000Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.7707686Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.7708372Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.7709153Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.7709846Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7710518Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.7711343Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.7712053Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.7712730Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.7713496Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.7714173Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7714934Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.7715613Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7716407Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.7717106Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7717806Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.7718511Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7719282Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.7719953Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7720621Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.7721261Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.7721791Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.7722351Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.7722848Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7723525Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.7724266Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.7725872Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.7726679Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.7727681Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.7729041Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.7730696Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7733546Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7735482Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7736401Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.7738053Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7739773Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7742502Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7744260Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7744959Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.7746145Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.7747298Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.7748429Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.7749610Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.7751396Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7753167Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7753683Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7754434Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.7754866Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.7755256Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.7755876Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.7756603Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.7760788Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.7761463Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.7762144Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.7762850Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.7763531Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.7764304Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.7765090Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.7765850Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7766533Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.7767231Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.7767918Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.7768598Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.7769331Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.7770038Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7770778Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.7771472Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7772272Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.7772968Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7773672Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.7774341Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7775067Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.7775754Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7776407Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.7777200Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.7777758Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.7778315Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.7778810Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7779478Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.7780164Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.7781753Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.7782575Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.7783575Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.7784934Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.7786663Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7789395Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7791053Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7791966Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.7793633Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7795345Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7798089Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7799680Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7800527Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.7801757Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.7802886Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.7804087Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.7805243Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.7806985Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7808716Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7809225Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7810004Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.7810400Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.7810743Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.7811058Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.7811740Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.7815901Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.7816579Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.7817268Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.7817994Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.7818669Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.7819340Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.7820126Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.7820725Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7821375Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.7822183Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.7822901Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.7823593Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.7824335Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.7825029Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7825771Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.7826456Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7827257Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.7827952Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7828667Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.7829350Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7830111Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.7830780Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7831419Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.7832063Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.7832577Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.7833128Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.7833646Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7834305Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.7835289Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.7836844Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.7837662Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.7838658Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.7839991Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.7841643Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7844622Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7846339Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7847246Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.7848922Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7850638Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7853322Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7855074Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7855792Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.7856990Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.7858117Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.7859251Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.7860435Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.7862226Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7864005Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7864513Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7865243Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.7865680Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.7866076Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.7866702Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.7867383Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.7871559Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.7872233Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.7872947Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.7873639Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.7874335Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.7875026Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.7875821Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.7876588Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7877267Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.7877980Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.7878655Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.7879338Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.7880107Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.7880800Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7881566Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.7882260Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7883050Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.7883857Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7884545Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.7885252Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7885955Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.7886637Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7887297Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.7888048Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.7888604Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.7889170Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.7889658Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7890343Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.7891014Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.7892612Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.7893422Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.7894416Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.7895792Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.7897514Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7900265Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7901916Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7902845Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.7904510Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7906250Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7908979Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7910629Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7911445Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.7912707Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.7913838Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.7914969Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.7916164Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.7917931Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7919693Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7920281Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7921025Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.7921452Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.7921838Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.7922239Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.7922964Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.7927255Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.7927930Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.7928644Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.7929344Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.7930013Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.7930708Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.7931513Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.7932228Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7932893Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.7933689Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.7934433Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.7935336Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.7935967Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.7936514Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7937157Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.7937795Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7938544Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.7939237Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7939940Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.7940617Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7941484Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.7942168Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7942827Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.7943462Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.7943983Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.7944549Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.7945055Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7945712Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.7946392Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.7947966Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.7948782Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.7949758Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.7951048Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.7952627Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7955512Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7957185Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7958085Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.7959774Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.7961517Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7964392Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7966070Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.7966793Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.7967969Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.7969111Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.7970248Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.7971469Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.7973262Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7975075Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.7975607Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7976348Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.7976791Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.7977094Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.7977523Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.7978215Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.7981847Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.7982412Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.7983026Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.7983662Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.7984278Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.7984901Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.7985713Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.7986315Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7986882Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.7987465Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.7988147Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.7988828Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.7989539Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.7990225Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7990953Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.7991636Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7992407Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.7993114Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7993851Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.7994555Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7995277Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.7995984Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.7996618Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.7997446Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.7997967Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.7998546Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.7999081Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.7999758Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8000420Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8001978Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8002781Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8003924Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8005282Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8007065Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8009861Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8011549Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8012475Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8014214Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8015977Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8018772Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8020449Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8021285Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8022593Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8023746Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8024923Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8026107Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8027945Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8029748Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8030344Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8031076Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8031523Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8047009Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8047419Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8048172Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8052449Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8053140Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8053837Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8054540Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8055246Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8055948Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8056771Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8057465Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8058148Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8059195Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8059890Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8060597Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8061356Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8062056Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8062817Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8063517Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8064337Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8065042Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8065750Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8066458Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8067255Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8067964Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8068627Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8069289Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8069819Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8070392Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8070918Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8071591Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8072266Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8073903Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8074718Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8075754Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8077130Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8078833Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8081711Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8083445Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8084471Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8086131Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8087882Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8090630Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8092360Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8093076Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8094292Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8095434Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8096590Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8097771Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8099580Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8101375Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8101896Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8102638Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8103082Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8103484Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8104005Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8104745Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8108970Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8109643Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8110349Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8111051Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8111751Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8112439Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8113300Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8114010Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8114686Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8115415Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8116096Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8116779Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8117547Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8118247Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8119002Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8119690Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8120496Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8121203Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8121913Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8122627Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8123343Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8124104Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8124790Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8125641Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8126174Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8126741Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8127249Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8127939Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8128624Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8130262Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8131089Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8132114Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8133532Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8135740Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8138576Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8140257Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8141203Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8142903Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8144678Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8147413Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8148778Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8149541Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8150692Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8151821Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8152926Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8154120Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8155907Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8157683Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8158311Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8159044Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8159509Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8159892Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8160283Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8161009Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8165325Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8165991Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8166659Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8167355Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8168017Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8168681Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8169474Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8170142Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8170827Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8171686Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8172352Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8173031Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8173762Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8174463Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8175185Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8175869Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8176654Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8177303Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8177998Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8178676Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8179453Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8180126Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8180767Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8181422Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8181925Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8182492Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8182991Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8183633Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8184305Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8185866Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8186676Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8187653Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8188837Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8190408Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8193248Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8195541Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8196466Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8198135Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8199850Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8202595Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8204377Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8205119Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8206256Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8207394Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8208519Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8209686Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8211477Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8213239Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8213768Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8214481Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8214925Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8215306Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8215852Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8216585Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8220591Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8221266Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8221941Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8222649Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8223312Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8223980Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8224841Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8225508Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8226190Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8226870Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8227528Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8228209Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8228934Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8229629Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8230354Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8231040Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8231835Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8232513Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8233217Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8233884Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8235144Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8235746Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8236111Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8236761Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8237043Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8237347Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8237633Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8237993Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8238353Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8239221Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8239657Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8240198Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8240915Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8241859Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8243305Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8244255Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8244750Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8245622Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8246555Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8248000Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8248898Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8249349Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8250038Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8250646Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8251279Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8251907Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8252870Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8253805Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8254124Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8254530Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8254770Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8255004Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8255222Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8255620Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8257843Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8258208Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8258596Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8258973Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8259354Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8259721Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8260156Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8260545Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8260902Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8261378Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8261742Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8262106Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8262522Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8262898Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8263316Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8263685Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8264117Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8264501Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8264882Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8265259Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8265675Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8266044Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8266407Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8266762Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8267064Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8267371Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8267646Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8268024Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8268384Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8269243Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8269688Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8270220Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8270962Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8271846Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8273389Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8274292Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8274799Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8275678Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8276605Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8278032Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8278955Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8279343Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8279979Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8280600Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8281204Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8281844Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8282797Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8283803Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8284088Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8284494Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8284736Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8284951Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8285258Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8285655Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8287841Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8288196Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8288581Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8288957Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8289320Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8289697Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8290154Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8290540Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8290898Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8291278Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8291653Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8292015Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8292431Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8292802Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8293202Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8293585Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8294015Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8294397Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8294777Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8295141Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8295532Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8295899Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8296253Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8296696Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8296971Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8297291Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8297570Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8297930Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8298301Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8299146Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8299593Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8300124Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8300861Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8301769Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8303203Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8304077Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8304565Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8305445Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8306349Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8307786Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8308643Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8309091Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8309748Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8310365Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8310968Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8311606Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8312551Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8313484Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8313821Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8314219Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8314474Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8314690Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8314900Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8315309Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8317498Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8317870Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8318238Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8318625Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8318988Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8319352Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8319797Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8320166Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8320542Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8320996Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8321361Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8321746Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8322144Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8322530Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8322927Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8323297Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8323826Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8324198Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8324589Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8324956Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8325380Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8325761Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8326118Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8326479Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8326753Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8327057Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8327348Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8327705Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8328082Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8328922Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8329356Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8329902Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8330642Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8331523Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8333021Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8333900Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8334398Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8335584Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8336519Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8337944Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8338878Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8339273Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8339904Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8340523Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8341124Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8341764Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8342709Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8343653Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8343936Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8344333Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8345157Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8345756Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8346426Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8347152Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8349884Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8352601Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8353465Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8354383Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8355258Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8356115Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8357075Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8357997Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8358856Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8359723Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8360598Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8361463Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8362362Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8363249Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8364222Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8365125Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8366054Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8366974Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8367856Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8368732Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8369615Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8370486Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8371335Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8372274Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8373038Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8373746Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8374465Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8375235Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8376076Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8377424Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8378835Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8379923Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8381306Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8383050Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8385512Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8387937Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8389428Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8390923Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8392838Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8395289Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8397685Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8399114Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8400284Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8401641Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8402979Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8404401Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8406111Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8408107Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8409481Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8410286Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8411035Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8411621Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8412178Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8412911Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8415598Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8418245Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8419103Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8419985Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8420866Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8421722Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8422647Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8423574Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8424446Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8425407Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8426291Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8427167Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8428070Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8428963Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8429859Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8430758Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8431697Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8432603Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8433479Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8434354Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8435535Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8436401Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8437252Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8438087Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8438836Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8439541Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8440251Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8441013Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8441868Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8443190Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8444676Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8445771Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8447161Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8448878Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8451412Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8453869Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8455341Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8456824Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8458723Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8461181Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8463708Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8465059Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8466197Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8467556Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8468888Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8470239Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8471922Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8473916Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8475251Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8476049Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8476810Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8477379Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8478075Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8478812Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8481515Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8484245Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8485085Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8485956Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8486830Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8487691Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8488642Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8489577Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8490442Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8491313Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8492169Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8493036Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8493934Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8494838Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8495722Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8496621Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8497557Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8498478Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8499341Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8500222Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8501104Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8501988Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8502828Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8503749Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8504508Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8505215Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8505936Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8506709Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8507562Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8508878Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8510299Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8511391Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8512769Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8514532Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8516954Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8519375Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8520838Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8522320Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8524293Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8526744Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8529166Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8530593Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8531751Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8533115Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8534457Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8536066Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8537762Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8539759Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8541152Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8541959Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8542732Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8543322Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8543859Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8544588Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8547317Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8549967Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8550823Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8551679Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8552543Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8553405Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8554331Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8555240Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8556097Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8557095Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8557966Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8558822Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8559721Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8560629Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8561533Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8562415Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8563345Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8564338Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8565215Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8566079Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8567000Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8567870Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8568717Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8569538Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8570287Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8571000Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8571709Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8572461Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8573323Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8574659Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8576059Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8577143Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8578523Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8580252Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8582759Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8585185Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8586650Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8588118Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8590015Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8592463Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8594893Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8596251Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8597392Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8598740Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8600081Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8601439Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8603127Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8605179Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8606522Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8607309Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8608078Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8608730Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8609281Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8610004Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8612697Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8615330Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8616181Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8617034Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8617903Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8618767Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8619732Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8620645Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8621507Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8622384Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8623246Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8624104Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8625002Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8625904Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8626804Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8627687Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8628609Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8629528Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8630409Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8631274Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8632157Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8633037Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8633891Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8635122Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8635883Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8636602Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8637320Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8638078Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8638929Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8640269Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8641714Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8642923Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8644378Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8646171Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8648600Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8650998Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8652471Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8653958Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8655861Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8658307Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8660705Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8662158Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8663301Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8664664Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8665977Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8667333Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8669028Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8671013Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8672393Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8673186Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8673949Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8674545Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8675083Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8675796Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8678511Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8681161Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8682008Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8682876Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8683804Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8684669Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8685595Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8686522Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8687369Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8688333Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8689205Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8690067Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8690955Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8691853Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8692756Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8693657Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8694576Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8695505Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8696381Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8697260Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8698158Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8699035Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8699884Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8700714Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8701448Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8702163Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8702880Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8703652Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8704484Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8706063Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8707482Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8708573Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8709945Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8711657Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8714174Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8717214Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8718694Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8720179Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8722065Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8724904Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8727528Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8728891Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8730030Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8731393Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8732725Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8734820Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8737666Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8739719Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8741056Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8741862Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8743005Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8744205Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8745120Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8746108Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8748833Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8751566Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8752544Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8753898Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8754762Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8755921Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8757647Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8759287Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8760148Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8761027Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8762107Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8763218Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8764450Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8765363Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8766326Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8767680Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8769333Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8770908Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8771984Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8773519Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8784166Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8785413Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8786833Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8788586Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8789520Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8790682Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8791890Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8793102Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8794456Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8796259Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8798152Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8799686Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8801846Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8804611Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8808209Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8811876Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8814273Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8816346Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8818907Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8822743Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8826172Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8828433Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8829612Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8831601Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8833858Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8836369Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8838189Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8840366Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8842109Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8842921Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8843691Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8845732Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8846284Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8847025Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8849730Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8852396Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8853241Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8854116Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8854991Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8855850Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8856781Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8857706Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8858571Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8859640Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8860518Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8861382Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8862284Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8863173Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8864076Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8864973Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8865904Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8866814Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8867688Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8868561Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8869467Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8870328Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8871188Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8872017Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8872772Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8873476Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8874186Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8874951Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8875800Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8877123Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8878527Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8879620Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8881004Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8882730Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8885275Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8887718Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8889207Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8890690Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8892593Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8895037Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8897457Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8898811Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8899956Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8901315Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8902646Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8903996Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8905670Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8907669Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8909005Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8909810Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8910579Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8911213Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8911787Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8912526Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8915214Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8917852Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8918690Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8919561Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8920436Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8921300Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8922243Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8923173Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8924123Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8925003Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8925862Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8926728Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8927635Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8928545Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8929434Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8930329Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8931262Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8932185Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8933045Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8933921Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8935088Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8935978Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8936819Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8937841Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8938596Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8939321Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8940019Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8940788Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8941637Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8942974Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8944356Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.8945444Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.8946822Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.8948579Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8950994Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8953395Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8954857Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.8956338Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.8958234Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8960688Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8963099Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.8964622Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.8965756Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.8967113Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.8968443Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.8969798Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.8971494Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8973482Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.8974860Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8975660Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.8976427Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.8977011Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.8977554Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.8978283Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.8981005Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.8983636Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.8984466Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.8985337Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.8986205Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.8987070Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.8987982Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.8988912Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8989780Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.8990730Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.8991591Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.8991975Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.8992375Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.8992758Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8993159Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.8993528Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8993975Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.8994344Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8994735Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.8995106Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8995511Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.8995893Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.8996247Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.8996610Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.8996886Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.8997194Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.8997483Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.8997842Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.8998221Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.8999067Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.8999493Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.9000036Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.9000752Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.9001637Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9003124Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9004088Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9004571Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.9005448Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9006358Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9007788Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9008676Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9009071Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.9009704Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.9010302Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.9010916Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.9011534Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.9012482Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9013408Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9013698Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9014085Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.9014324Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.9014652Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.9014856Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.9015266Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.9017451Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.9017827Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.9018194Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.9018567Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.9018947Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.9019311Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.9019783Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.9020153Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9020517Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.9020905Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.9021264Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.9021639Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.9022036Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.9022409Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9022825Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.9023194Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9023627Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.9024007Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9024405Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.9024779Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9025173Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.9025541Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9025944Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.9026323Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.9026599Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.9026921Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.9027193Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9027549Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.9027919Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.9028759Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.9029202Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.9029735Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.9030451Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.9031370Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9032809Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9033691Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9034176Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.9035333Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9036244Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9037671Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9038536Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9039071Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.9039705Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.9040316Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.9040914Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.9041541Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.9042502Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9043427Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9043810Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9044200Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.9044456Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.9044676Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.9044878Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.9045289Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.9047474Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.9047846Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.9048210Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.9048594Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.9048959Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.9049322Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.9049757Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.9050123Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9050548Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.9050945Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.9051306Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.9051687Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.9052088Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.9052468Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9052865Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.9053237Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9053677Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.9054042Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9054434Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.9054799Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9055221Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.9055602Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9055954Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.9056309Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.9056583Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.9056883Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.9057174Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9057528Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.9057886Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.9058745Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.9059169Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.9059709Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.9060426Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.9061317Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9062797Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9063687Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9064170Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.9065052Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9065954Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9067366Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9068265Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9068646Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.9069287Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.9069887Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.9070500Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.9071120Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.9072070Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9073000Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9073281Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9073683Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.9073922Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.9074225Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.9074427Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.9074820Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.9077000Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.9077361Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.9077741Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.9078122Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.9078498Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.9078861Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.9079320Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.9079696Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9080059Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.9080443Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.9080804Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.9081170Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.9081580Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.9081947Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9082354Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.9082723Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9083144Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.9083522Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9083968Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.9084349Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9084726Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.9085091Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9085517Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.9085886Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.9086170Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.9086470Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.9086740Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9087109Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.9087465Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.9088321Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.9088746Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.9089272Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.9089999Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.9090896Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9092347Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9093203Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9093696Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.9094560Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9095476Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9096891Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9097767Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9098249Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.9098902Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.9099507Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.9100110Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.9100749Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.9101688Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9102625Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9102930Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9103337Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.9103580Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.9103799Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.9104011Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.9104403Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.9106599Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.9106958Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.9107340Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.9107714Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.9108080Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.9108461Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.9108888Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.9109266Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9109681Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.9110077Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.9110448Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.9110813Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.9111227Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.9111598Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9112000Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.9112380Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9112802Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.9113180Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9113554Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.9113921Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9114377Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.9114744Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9115109Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.9115454Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.9115728Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.9116046Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.9116319Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9116679Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.9117045Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.9117891Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.9118334Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.9118864Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.9119590Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.9120462Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9121964Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9122844Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9123328Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.9124294Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9125205Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9126638Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9127534Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9127936Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.9128570Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.9129188Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.9129785Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.9130424Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.9131359Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9132289Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9132587Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9132980Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.9133233Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.9133524Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.9133727Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.9134136Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.9136582Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.9136962Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.9137329Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.9137718Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.9138087Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.9138455Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.9138977Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.9139345Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9139723Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.9140096Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.9140462Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.9140842Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.9141242Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.9141629Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9142033Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.9142402Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9142848Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.9143215Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9143605Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.9143970Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9144346Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.9144852Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9145315Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.9145710Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.9145986Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.9146288Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.9146574Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9146931Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.9147303Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.9148150Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.9148580Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.9149123Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.9149840Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.9150758Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9152189Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9153071Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9153555Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.9154442Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9155346Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9156779Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9157642Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9158109Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.9158740Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.9159341Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.9159950Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.9160574Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.9161528Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9162454Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9162773Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9163162Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.9163401Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.9163628Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.9163896Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.9164302Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.9166465Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.9166835Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.9167200Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.9167571Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.9167947Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.9168310Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.9168749Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.9169117Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9169533Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.9169944Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.9170305Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.9170684Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.9171084Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.9171451Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9171864Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.9172238Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9172681Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.9173049Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9173423Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.9173799Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9174202Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.9174583Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9174935Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.9175281Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.9175568Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.9175870Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.9176156Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9176514Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.9176871Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.9177732Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.9178162Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.9178703Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.9179418Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.9180291Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9181786Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9182669Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9183165Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.9184038Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9184948Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9186366Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9187265Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9187646Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.9188284Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.9188879Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.9189495Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.9190117Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.9191056Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9191997Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9192275Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9192675Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.9192912Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.9193216Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.9193427Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.9193818Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.9196000Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.9196357Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.9196733Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.9197105Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.9197466Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.9197838Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.9198288Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.9198665Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9199027Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.9199397Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.9199768Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.9200131Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.9200541Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.9200909Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9201305Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.9201684Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9202104Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.9202483Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9202858Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.9203227Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9203614Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.9204063Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9204490Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.9204871Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.9205144Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.9205459Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.9205734Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9206106Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.9206459Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.9207302Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.9207740Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.9208275Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.9209003Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.9209904Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9211349Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9212208Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9212705Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.9213570Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9214469Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9215904Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9216763Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9217233Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.9217868Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.9218485Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.9219083Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.9219717Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.9220654Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9221596Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9221906Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9222294Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.9222544Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.9222785Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.9222985Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.9223381Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.9225550Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.9226604Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.9226994Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.9227368Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.9227750Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.9228115Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.9228544Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.9228925Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9229362Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.9229772Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.9230143Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.9230507Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.9230927Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.9231299Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9231711Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.9232083Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9232513Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.9232895Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9233275Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.9233657Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9234079Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.9234445Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9235095Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.9235443Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.9235733Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.9236036Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.9236309Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9236684Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.9237042Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.9237905Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.9238335Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.9238864Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.9239596Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.9240479Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9242057Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9242950Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9243447Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.9244370Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9245286Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9246714Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9247635Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9248017Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.9248659Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.9249257Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.9249856Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.9250492Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.9251427Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9252364Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9252643Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9253045Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.9253282Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:40:22.9253573Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:40:22.9253786Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:40:22.9254176Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:40:22.9256377Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def ___make_guard_fn(IsNonOverlappingAndDenseIndicator, cast_symbool_to_symint_guardless, math, torch, ___check_type_id, ___check_obj_id, ___odict_getitem, ___key_to_id, ___dict_version, ___dict_contains, ___tuple_iterator_len, ___normalize_range_iter, ___tuple_iterator_getitem, ___dataclass_fields, ___namedtuple_fields, ___get_torch_function_mode_stack_at, ___get_current_stream, __math_isnan, __numpy_isnan, inf, __load_module, utils_device, device, ___from_numpy, ___as_tensor, inspect): 2025-12-04T10:40:22.9256738Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:40:22.9257117Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:40:22.9257495Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:40:22.9257859Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:40:22.9258238Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:40:22.9258699Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:40:22.9259080Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9259447Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:40:22.9259822Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:40:22.9260204Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:40:22.9260570Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:40:22.9260986Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:40:22.9261357Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9261762Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:40:22.9262148Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9262572Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:40:22.9262950Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9263329Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:40:22.9263694Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9264080Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:40:22.9264443Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:40:22.9264851Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:40:22.9265219Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:40:22.9265497Z V1204 10:40:20.102000 85746 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:40:22.9265811Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:40:22.9266080Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9266448Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:40:22.9266802Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:40:22.9267645Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- LAMBDA_GUARD: torch._functorch.aot_autograd.utils.top_saved_tensors_hooks ids == None # _dynamo/output_graph.py:808 in init_ambient_guards 2025-12-04T10:40:22.9268089Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:40:22.9268617Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:40:22.9269342Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:795 in init_ambient_guards 2025-12-04T10:40:22.9270239Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9271684Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9272552Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9273032Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:40:22.9273914Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T10:40:22.9274816Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94334728585888) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9276247Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[None, None], stride=[None, 1]) # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9277104Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:40:22.9277580Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:40:22.9278206Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['a'].stride()[0] == L['a'].size()[1] # (unknown source L['a'].stride()[0], please file a bug) 2025-12-04T10:40:22.9278820Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[0] == L['a'].size()[0] # (unknown source L['b'].size()[0], please file a bug) 2025-12-04T10:40:22.9279419Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].size()[1] == L['a'].size()[1] # (unknown source L['b'].size()[1], please file a bug) 2025-12-04T10:40:22.9280056Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: L['b'].stride()[0] == L['a'].size()[1] # (unknown source L['b'].stride()[0], please file a bug) 2025-12-04T10:40:22.9280990Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[0] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9281916Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- LAMBDA_GUARD: 0 <= L['a'].size()[1] # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func (_dynamo/variables/builder.py:3686 in ) 2025-12-04T10:40:22.9282233Z V1204 10:40:20.103000 85746 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:40:22.9282622Z V1204 10:40:20.128000 85746 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 50.97 us 2025-12-04T10:40:22.9283253Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-cc4bc5ad55a766c6.xml - 2025-12-04T10:40:22.9283415Z =========================== short test summary info ============================ 2025-12-04T10:40:22.9283821Z FAILED [12.7524s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9284139Z FAILED [0.0193s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9284429Z FAILED [0.0193s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9284728Z FAILED [0.0176s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9285018Z FAILED [0.0161s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9285304Z FAILED [0.0161s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9285605Z FAILED [0.0161s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9285899Z FAILED [0.0161s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9286197Z FAILED [0.0160s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9286483Z FAILED [0.0159s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9286770Z FAILED [0.0159s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9287069Z FAILED [0.0160s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9287358Z FAILED [0.0160s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9287642Z FAILED [0.0160s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9287937Z FAILED [0.0162s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9288226Z FAILED [0.0160s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9288608Z FAILED [0.0160s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9288896Z FAILED [0.0676s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9289180Z FAILED [0.0281s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9289476Z FAILED [0.0165s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9289761Z FAILED [0.0161s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9290063Z FAILED [0.0160s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9290350Z FAILED [0.0161s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9290634Z FAILED [0.0159s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9290938Z FAILED [0.0140s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9291224Z FAILED [0.0140s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9291506Z FAILED [0.0143s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9291800Z FAILED [0.0142s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9292087Z FAILED [0.0140s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9292380Z FAILED [0.0139s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9292692Z FAILED [0.0138s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9292974Z FAILED [0.0138s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9293271Z FAILED [0.0139s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9293559Z FAILED [0.0138s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9293855Z FAILED [0.0137s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9294140Z FAILED [0.0138s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9294422Z FAILED [0.0137s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9294718Z FAILED [0.0137s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9295005Z FAILED [0.0136s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9295290Z FAILED [0.0136s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9295592Z FAILED [0.0136s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9295876Z FAILED [0.0137s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9296179Z FAILED [0.0138s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9296461Z FAILED [0.0137s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9296745Z FAILED [0.0137s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9297044Z FAILED [0.0137s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9297327Z FAILED [0.0144s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9297629Z FAILED [0.0142s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9297916Z FAILED [0.0142s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9298202Z FAILED [0.0139s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:40:22.9298415Z ============================= 50 failed in 14.37s ============================== 2025-12-04T10:40:22.9298500Z 2025-12-04T10:40:22.9298935Z FINISHED PRINTING LOG FILE of test_dynamic_shapes 1/1 (test/test-reports/test_dynamic_shapes_1.1_06fd25ac7a24cb3e_.log) 2025-12-04T10:40:22.9298941Z 2025-12-04T10:40:22.9299242Z Finished test_dynamic_shapes 1/1 ... [2025-12-04 10:40:22.492748][5384.639273691], took 0.33min 2025-12-04T10:40:22.9299906Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-cc4bc5ad55a766c6.xml 2025-12-04T10:40:23.2259150Z Uploading logs for 57117865638 to S3 2025-12-04T10:40:23.2668628Z Running optim/test_swa_utils 1/1 ... [2025-12-04 10:40:23.266441][5385.412973343] 2025-12-04T10:40:23.2668779Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:23.2672029Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_swa_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 10:40:23.266903] 2025-12-04T10:40:23.2822401Z Uploading artifacts took 0.64 seconds 2025-12-04T10:40:23.2822532Z test_dynamic_shapes 1/1 failed! 2025-12-04T10:40:25.2133882Z W1204 10:40:25.212000 86686 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:40:26.7848262Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:40:26.784294][5388.930826426] 2025-12-04T10:40:26.7849244Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:26.7852289Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_histograms.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 10:40:26.784865] 2025-12-04T10:40:27.0612355Z 2025-12-04T10:40:27.0613730Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_95e1a9a66329248a_.log 2025-12-04T10:40:27.0614782Z 2025-12-04T10:40:27.0615250Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 10:40:27.061049][5389.207582979], took 0.06min 2025-12-04T10:40:29.8304689Z W1204 10:40:29.829000 86921 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:40:30.8126076Z 2025-12-04T10:40:30.8127406Z torch_np/numpy_tests/lib/test_histograms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_4723144ce51f646f_.log 2025-12-04T10:40:30.8128436Z Running 0 items in this shard: 2025-12-04T10:40:30.8128636Z 2025-12-04T10:40:30.8129044Z Finished torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:40:30.812550][5392.959082585], took 0.07min 2025-12-04T10:40:30.8331343Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-82dfd3a4e4c5b996.xml 2025-12-04T10:40:30.9776702Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_histograms/torch_np.numpy_tests.lib.test_histograms-6ace07f078b1ccfd.xml 2025-12-04T10:40:31.3646569Z Running torch_np/test_indexing 1/1 ... [2025-12-04 10:40:31.364205][5393.510737983] 2025-12-04T10:40:31.3647134Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:31.3650134Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_indexing.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 10:40:31.364703] 2025-12-04T10:40:33.6480353Z W1204 10:40:33.647000 86961 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:40:35.1301072Z Running test_schema_check 1/1 ... [2025-12-04 10:40:35.129682][5397.276216108] 2025-12-04T10:40:35.1301700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:35.1305600Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_schema_check.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 10:40:35.130196] 2025-12-04T10:40:35.2022019Z 2025-12-04T10:40:35.2023140Z torch_np/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_indexing_1.1_5fe3f7bd08f46efe_.log 2025-12-04T10:40:35.2024019Z Running 0 items in this shard: 2025-12-04T10:40:35.2024218Z 2025-12-04T10:40:35.2024566Z Finished torch_np/test_indexing 1/1 ... [2025-12-04 10:40:35.202137][5397.348669701], took 0.06min 2025-12-04T10:40:35.2575989Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_indexing/torch_np.test_indexing-0386235fd4458b96.xml 2025-12-04T10:40:37.9913865Z W1204 10:40:37.990000 86995 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:40:39.5669305Z Running test_tensorboard 1/1 ... [2025-12-04 10:40:39.566426][5401.712957876] 2025-12-04T10:40:39.5670144Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:39.5672850Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorboard.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 10:40:39.566931] 2025-12-04T10:40:40.6325618Z 2025-12-04T10:40:40.6327003Z test_schema_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_schema_check_1.1_ea8c2896abede694_.log 2025-12-04T10:40:40.6327816Z Running 0 items in this shard: 2025-12-04T10:40:40.6328017Z 2025-12-04T10:40:40.6328290Z Finished test_schema_check 1/1 ... [2025-12-04 10:40:40.632347][5402.778876431], took 0.09min 2025-12-04T10:40:40.6887114Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_schema_check/test_schema_check-fd0a0c38b92529a3.xml 2025-12-04T10:40:43.3773215Z W1204 10:40:43.376000 87044 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:40:44.3963464Z 2025-12-04T10:40:44.3964546Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_559272e892ea049e_.log 2025-12-04T10:40:44.3965357Z Running 0 items in this shard: 2025-12-04T10:40:44.3965555Z 2025-12-04T10:40:44.3965874Z Finished test_tensorboard 1/1 ... [2025-12-04 10:40:44.396200][5406.542725997], took 0.08min 2025-12-04T10:40:44.4736686Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorboard/test_tensorboard-44c304430096174b.xml 2025-12-04T10:40:44.9303594Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-12-04 10:40:44.929848][5407.076380636] 2025-12-04T10:40:44.9304233Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:44.9307687Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.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 10:40:44.930364] 2025-12-04T10:40:47.1019084Z W1204 10:40:47.100000 87063 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:40:48.6031598Z Running test_futures 1/1 ... [2025-12-04 10:40:48.602584][5410.749116622] 2025-12-04T10:40:48.6032178Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:48.6034542Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_futures.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 10:40:48.603081] 2025-12-04T10:40:48.9967816Z 2025-12-04T10:40:48.9969431Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_99d611d09b275ff9_.log 2025-12-04T10:40:48.9970459Z Running 0 items in this shard: 2025-12-04T10:40:48.9970659Z 2025-12-04T10:40:48.9971060Z Finished torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-12-04 10:40:48.996678][5411.143210492], took 0.07min 2025-12-04T10:40:49.0494702Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_indexing/torch_np.numpy_tests.core.test_indexing-084a49fb22b3daf1.xml 2025-12-04T10:40:51.8069075Z W1204 10:40:51.806000 87112 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:40:52.6265087Z 2025-12-04T10:40:52.6266444Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_c7a7f8a5b2eccd6d_.log 2025-12-04T10:40:52.6267503Z Running 0 items in this shard: 2025-12-04T10:40:52.6267719Z 2025-12-04T10:40:52.6267974Z Finished test_futures 1/1 ... [2025-12-04 10:40:52.626409][5414.772940147], took 0.07min 2025-12-04T10:40:52.6792182Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_futures/test_futures-fd5bed401bba87f2.xml 2025-12-04T10:40:53.3292748Z Running nn/test_dropout 1/1 ... [2025-12-04 10:40:53.328774][5415.475307024] 2025-12-04T10:40:53.3293330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:53.3296641Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_dropout.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 10:40:53.329331] 2025-12-04T10:40:55.4247281Z W1204 10:40:55.423000 87131 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:40:56.9113838Z Running functorch/dim/test_split 1/1 ... [2025-12-04 10:40:56.910846][5419.057378189] 2025-12-04T10:40:56.9114431Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:56.9117498Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/dim/test_split.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 10:40:56.911385] 2025-12-04T10:40:57.6458812Z 2025-12-04T10:40:57.6460191Z nn/test_dropout 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_dropout_1.1_056a4087ec7e15f9_.log 2025-12-04T10:40:57.6461045Z Running 0 items in this shard: 2025-12-04T10:40:57.6461357Z 2025-12-04T10:40:57.6461688Z Finished nn/test_dropout 1/1 ... [2025-12-04 10:40:57.645802][5419.792336071], took 0.07min 2025-12-04T10:40:57.6996994Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_dropout/nn.test_dropout-8ad8716909a6bc27.xml 2025-12-04T10:41:00.4004067Z W1204 10:41:00.399000 87180 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:00.8625617Z 2025-12-04T10:41:00.8626842Z functorch/dim/test_split 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.dim.test_split_1.1_6489ee6a53ae1ec7_.log 2025-12-04T10:41:00.8627996Z Running 0 items in this shard: 2025-12-04T10:41:00.8628311Z 2025-12-04T10:41:00.8628702Z Finished functorch/dim/test_split 1/1 ... [2025-12-04 10:41:00.862511][5423.009045275], took 0.07min 2025-12-04T10:41:00.9152991Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.dim.test_split/functorch.dim.test_split-5efda9e9f98b6874.xml 2025-12-04T10:41:01.9161186Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-12-04 10:41:01.915658][5424.062190636] 2025-12-04T10:41:01.9161860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:01.9164534Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.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 10:41:01.916135] 2025-12-04T10:41:03.6581474Z W1204 10:41:03.656000 87198 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:05.1509477Z Running cpp_extensions/test_libtorch_agnostic 1/1 ... [2025-12-04 10:41:05.150470][5427.296998469] 2025-12-04T10:41:05.1510101Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:05.1513069Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/test_libtorch_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 10:41:05.151013] 2025-12-04T10:41:05.8877340Z 2025-12-04T10:41:05.8879268Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_08a6b06dd6e9d0a1_.log 2025-12-04T10:41:05.8881035Z Running 0 items in this shard: 2025-12-04T10:41:05.8881255Z 2025-12-04T10:41:05.8881663Z Finished torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-12-04 10:41:05.887586][5428.034114749], took 0.07min 2025-12-04T10:41:05.9440427Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_type_check/torch_np.numpy_tests.lib.test_type_check-a0987ddd4c4e44f3.xml 2025-12-04T10:41:08.6129808Z W1204 10:41:08.612000 87248 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:08.7900409Z 2025-12-04T10:41:08.7901614Z inductor/test_mkldnn_pattern_matcher 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.2_7fe95fb44e77ccae_.log 2025-12-04T10:41:08.8870806Z Running 50 items in this shard: test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True 2025-12-04T10:41:08.8900195Z 2025-12-04T10:41:08.9055719Z Finished inductor/test_mkldnn_pattern_matcher 1/2 ... [2025-12-04 10:41:08.902980][5431.047116466], took 34.17min 2025-12-04T10:41:09.0378120Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.test_libtorch_agnostic/cpp_extensions.test_libtorch_agnostic-e9134b1234ab920f.xml 2025-12-04T10:41:09.3930854Z 2025-12-04T10:41:09.3932195Z cpp_extensions/test_libtorch_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.test_libtorch_agnostic_1.1_4e906b7d2b5af6d0_.log 2025-12-04T10:41:09.3933306Z Running 0 items in this shard: 2025-12-04T10:41:09.3933506Z 2025-12-04T10:41:09.3933903Z Finished cpp_extensions/test_libtorch_agnostic 1/1 ... [2025-12-04 10:41:09.393062][5431.539586129], took 0.07min 2025-12-04T10:41:10.2148767Z Running test_jit 1/1 ... [2025-12-04 10:41:10.214387][5432.360918238] 2025-12-04T10:41:10.2149388Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:10.2152024Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit.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 10:41:10.214900] 2025-12-04T10:41:12.2191121Z W1204 10:41:12.218000 87267 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:13.6800023Z Running test_datapipe 1/1 ... [2025-12-04 10:41:13.679519][5435.826052561] 2025-12-04T10:41:13.6800749Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:13.6802546Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_datapipe.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 10:41:13.679980] 2025-12-04T10:41:17.6421799Z 2025-12-04T10:41:17.6423139Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_4129ca339c2a78cb_.log 2025-12-04T10:41:17.6424325Z Running 0 items in this shard: 2025-12-04T10:41:17.6424600Z 2025-12-04T10:41:17.6424957Z Finished test_datapipe 1/1 ... [2025-12-04 10:41:17.642145][5439.788671641], took 0.07min 2025-12-04T10:41:17.6979621Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_datapipe/test_datapipe-339d7960f0ed4f46.xml 2025-12-04T10:41:20.3596409Z W1204 10:41:20.358000 87332 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:21.8769906Z Running test_numba_integration 1/1 ... [2025-12-04 10:41:21.876296][5444.022823338] 2025-12-04T10:41:21.8770526Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:21.8772745Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numba_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 10:41:21.876912] 2025-12-04T10:41:22.2988566Z 2025-12-04T10:41:22.2989712Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_d58096df78367ec0_.log 2025-12-04T10:41:22.3091135Z Running 450 items in this shard: test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_optional_list, test/test_jit.py::TestScript::test_optional_tensor, test/test_jit.py::TestScript::test_prim_grad_undefined, test/test_jit.py::TestScript::test_rand, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, test/test_jit.py::TestScript::test_method_overloading, 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test/test_jit.py::TestScript::test_rand, test/test_jit.py::TestScript::test_rand, test/test_jit.py::TestScript::test_rand, test/test_jit.py::TestScript::test_rand, test/test_jit.py::TestScript::test_rand, test/test_jit.py::TestScript::test_rand, test/test_jit.py::TestScript::test_rand, test/test_jit.py::TestScript::test_rand, test/test_jit.py::TestScript::test_rand, test/test_jit.py::TestScript::test_rand, test/test_jit.py::TestScript::test_rand, test/test_jit.py::TestScript::test_rand, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_requires_grad_loop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_as_tensor_shape_prop, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_requires_grad, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses, test/test_jit.py::TestScript::test_tensor_subclasses 2025-12-04T10:41:22.3189449Z 2025-12-04T10:41:22.3189705Z Finished test_jit 1/1 ... [2025-12-04 10:41:22.299376][5444.445908238], took 0.20min 2025-12-04T10:41:22.3559380Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit/test_jit-1d3ae53472bf14e4.xml 2025-12-04T10:41:25.1359421Z W1204 10:41:25.135000 87365 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:26.2344660Z 2025-12-04T10:41:26.2345712Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_158ead6e50e5ecd8_.log 2025-12-04T10:41:26.2346589Z Running 0 items in this shard: 2025-12-04T10:41:26.2346789Z 2025-12-04T10:41:26.2347109Z Finished test_numba_integration 1/1 ... [2025-12-04 10:41:26.234390][5448.380922215], took 0.07min 2025-12-04T10:41:26.2888478Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numba_integration/test_numba_integration-6d4cc4269bbb84d3.xml 2025-12-04T10:41:26.6501832Z Running test_functional_optim 1/1 ... [2025-12-04 10:41:26.649708][5448.796240028] 2025-12-04T10:41:26.6502362Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:26.6505404Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functional_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 10:41:26.650221] 2025-12-04T10:41:28.8584347Z W1204 10:41:28.857000 87384 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:29.0572125Z W1204 10:41:29.056000 87400 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:30.3760436Z Running test_maskedtensor 1/1 ... [2025-12-04 10:41:30.375512][5452.522043378] 2025-12-04T10:41:30.3761048Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:30.3763332Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_maskedtensor.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 10:41:30.376006] 2025-12-04T10:41:30.5649755Z Running benchmark_utils/test_benchmark_utils 1/1 ... [2025-12-04 10:41:30.564533][5452.71106568] 2025-12-04T10:41:30.5650364Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:30.5653755Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'benchmark_utils/test_benchmark_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 10:41:30.565012] 2025-12-04T10:41:30.8511925Z 2025-12-04T10:41:30.8512858Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_2e01909504e463f9_.log 2025-12-04T10:41:30.8513686Z Running 0 items in this shard: 2025-12-04T10:41:30.8513885Z 2025-12-04T10:41:30.8514206Z Finished test_functional_optim 1/1 ... [2025-12-04 10:41:30.851086][5452.997617524], took 0.07min 2025-12-04T10:41:30.9525550Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_optim/test_functional_optim-828ad3c0a1586efb.xml 2025-12-04T10:41:33.6742970Z W1204 10:41:33.673000 87466 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:34.4886654Z 2025-12-04T10:41:34.4888015Z benchmark_utils/test_benchmark_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/benchmark_utils.test_benchmark_utils_1.1_b8bf5661bf42fc55_.log 2025-12-04T10:41:34.4889529Z Running 0 items in this shard: 2025-12-04T10:41:34.4889858Z 2025-12-04T10:41:34.4890319Z Finished benchmark_utils/test_benchmark_utils 1/1 ... [2025-12-04 10:41:34.488559][5456.635093095], took 0.07min 2025-12-04T10:41:34.5422852Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/benchmark_utils.test_benchmark_utils/benchmark_utils.test_benchmark_utils-e44532da3f6344f4.xml 2025-12-04T10:41:35.2050682Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 10:41:35.204500][5457.351031862] 2025-12-04T10:41:35.2051451Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:35.2054865Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarmath.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 10:41:35.205057] 2025-12-04T10:41:36.4048403Z 2025-12-04T10:41:36.4049572Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_4690509d28bce458_.log 2025-12-04T10:41:36.4050385Z Running 0 items in this shard: 2025-12-04T10:41:36.4050603Z 2025-12-04T10:41:36.4050898Z Finished test_maskedtensor 1/1 ... [2025-12-04 10:41:36.404745][5458.551279425], took 0.10min 2025-12-04T10:41:36.4613920Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_maskedtensor/test_maskedtensor-e25ac5c39da09006.xml 2025-12-04T10:41:37.3001612Z W1204 10:41:37.299000 87516 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:38.8374576Z Running test_scaled_matmul_cuda 1/1 ... [2025-12-04 10:41:38.836984][5460.983516785] 2025-12-04T10:41:38.8375263Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:38.8378229Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_scaled_matmul_cuda.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 10:41:38.837460] 2025-12-04T10:41:39.2059056Z W1204 10:41:39.205000 87534 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:39.6234848Z 2025-12-04T10:41:39.6236613Z torch_np/numpy_tests/core/test_scalarmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarmath_1.1_cd079cad28c17d23_.log 2025-12-04T10:41:39.6238254Z Running 0 items in this shard: 2025-12-04T10:41:39.6238604Z 2025-12-04T10:41:39.6239392Z Finished torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-12-04 10:41:39.623268][5461.769801113], took 0.07min 2025-12-04T10:41:39.6808880Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalarmath/torch_np.numpy_tests.core.test_scalarmath-9f41fc799425f22b.xml 2025-12-04T10:41:40.7311012Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 10:41:40.730612][5462.877144999] 2025-12-04T10:41:40.7311654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:40.7315061Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_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 10:41:40.731140] 2025-12-04T10:41:42.5222776Z W1204 10:41:42.521000 87567 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:43.2200925Z 2025-12-04T10:41:43.2202185Z test_scaled_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scaled_matmul_cuda_1.1_25b0c098750b8bcb_.log 2025-12-04T10:41:43.2203072Z Running 0 items in this shard: 2025-12-04T10:41:43.2203288Z 2025-12-04T10:41:43.2203590Z Finished test_scaled_matmul_cuda 1/1 ... [2025-12-04 10:41:43.220027][5465.366560442], took 0.07min 2025-12-04T10:41:43.2987717Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scaled_matmul_cuda/test_scaled_matmul_cuda-9f4ac703bcd28fcf.xml 2025-12-04T10:41:44.0331872Z Running test_vulkan 1/1 ... [2025-12-04 10:41:44.032738][5466.17927114] 2025-12-04T10:41:44.0332390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:44.0335667Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_vulkan.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 10:41:44.033216] 2025-12-04T10:41:45.0014409Z 2025-12-04T10:41:45.0016051Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_26578abe7b8e8ec3_.log 2025-12-04T10:41:45.0017544Z Running 0 items in this shard: 2025-12-04T10:41:45.0017847Z 2025-12-04T10:41:45.0018473Z Finished torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-12-04 10:41:45.001361][5467.147890836], took 0.07min 2025-12-04T10:41:45.0572646Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_shape_base/torch_np.numpy_tests.core.test_shape_base-e15359690ddcc35d.xml 2025-12-04T10:41:46.0143261Z W1204 10:41:46.013000 87603 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:47.5933525Z Running lazy/test_generator 1/1 ... [2025-12-04 10:41:47.592810][5469.739341712] 2025-12-04T10:41:47.5934955Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:47.5937968Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_generator.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 10:41:47.593323] 2025-12-04T10:41:47.8266661Z W1204 10:41:47.825000 87635 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:48.0641413Z 2025-12-04T10:41:48.0643439Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_14af0e99cc7c5dfc_.log 2025-12-04T10:41:48.0657481Z Running 0 items in this shard: 2025-12-04T10:41:48.0663742Z 2025-12-04T10:41:48.0671720Z Finished test_vulkan 1/1 ... [2025-12-04 10:41:48.066804][5470.213303625], took 0.07min 2025-12-04T10:41:48.1757478Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_vulkan/test_vulkan-4f3c629474ec6caa.xml 2025-12-04T10:41:49.3755073Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 10:41:49.374978][5471.521510214] 2025-12-04T10:41:49.3756217Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:49.3758747Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.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 10:41:49.375465] 2025-12-04T10:41:50.8976780Z W1204 10:41:50.896000 87669 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:51.5243548Z 2025-12-04T10:41:51.5244493Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_a79ef217886a36d8_.log 2025-12-04T10:41:51.5245351Z Running 0 items in this shard: 2025-12-04T10:41:51.5245566Z 2025-12-04T10:41:51.5245862Z Finished lazy/test_generator 1/1 ... [2025-12-04 10:41:51.524241][5473.670774307], took 0.07min 2025-12-04T10:41:51.6109173Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_generator/lazy.test_generator-b05ab741849075c9.xml 2025-12-04T10:41:52.4049165Z Running torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 10:41:52.404457][5474.550989428] 2025-12-04T10:41:52.4049778Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:52.4052841Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dtype.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 10:41:52.404931] 2025-12-04T10:41:54.0094397Z 2025-12-04T10:41:54.0095757Z torch_np/numpy_tests/linalg/test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_7fc8d16acce239e9_.log 2025-12-04T10:41:54.0096916Z Running 0 items in this shard: 2025-12-04T10:41:54.0097230Z 2025-12-04T10:41:54.0097664Z Finished torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-12-04 10:41:54.009314][5476.155844523], took 0.08min 2025-12-04T10:41:54.0661875Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.linalg.test_linalg/torch_np.numpy_tests.linalg.test_linalg-7e9199a5576a492a.xml 2025-12-04T10:41:54.3385565Z W1204 10:41:54.337000 87705 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:55.8593263Z Running lazy/test_debug_util 1/1 ... [2025-12-04 10:41:55.858872][5478.005405396] 2025-12-04T10:41:55.8593814Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:55.8598151Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_debug_util.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 10:41:55.859446] 2025-12-04T10:41:56.5412508Z 2025-12-04T10:41:56.5413775Z torch_np/numpy_tests/core/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_1e303b21c594ebf4_.log 2025-12-04T10:41:56.5414768Z Running 0 items in this shard: 2025-12-04T10:41:56.5414967Z 2025-12-04T10:41:56.5415350Z Finished torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 10:41:56.541116][5478.687649527], took 0.07min 2025-12-04T10:41:56.5992516Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_dtype/torch_np.numpy_tests.core.test_dtype-680822278cbbb927.xml 2025-12-04T10:41:56.8421838Z W1204 10:41:56.841000 87738 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:58.4399855Z Running nn/test_load_state_dict 1/1 ... [2025-12-04 10:41:58.439485][5480.586017035] 2025-12-04T10:41:58.4400573Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:58.4403094Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_load_state_dict.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 10:41:58.439972] 2025-12-04T10:41:59.3840637Z W1204 10:41:59.383000 87771 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:41:59.8448910Z 2025-12-04T10:41:59.8449894Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_aeb5ae4cdea12a54_.log 2025-12-04T10:41:59.8450740Z Running 0 items in this shard: 2025-12-04T10:41:59.8450955Z 2025-12-04T10:41:59.8451243Z Finished lazy/test_debug_util 1/1 ... [2025-12-04 10:41:59.844820][5481.991354739], took 0.07min 2025-12-04T10:41:59.9021543Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_debug_util/lazy.test_debug_util-086eaec2154142b5.xml 2025-12-04T10:42:00.9099346Z Running nn/test_module_hooks 1/1 ... [2025-12-04 10:42:00.909385][5483.055917833] 2025-12-04T10:42:00.9100226Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:00.9103260Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_module_hooks.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 10:42:00.909936] 2025-12-04T10:42:02.6277690Z W1204 10:42:02.627000 87806 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:02.7663703Z 2025-12-04T10:42:02.7664893Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_ca69ecf7d0b739f7_.log 2025-12-04T10:42:02.7665786Z Running 0 items in this shard: 2025-12-04T10:42:02.7665996Z 2025-12-04T10:42:02.7666292Z Finished nn/test_load_state_dict 1/1 ... [2025-12-04 10:42:02.766267][5484.912800535], took 0.07min 2025-12-04T10:42:02.8564109Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_load_state_dict/nn.test_load_state_dict-7c62168077c706a5.xml 2025-12-04T10:42:04.1794151Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 10:42:04.178664][5486.325191692] 2025-12-04T10:42:04.1794998Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:04.1796715Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_twodim_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 10:42:04.179307] 2025-12-04T10:42:05.3698418Z 2025-12-04T10:42:05.3699552Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_f4f70eda076c0ad5_.log 2025-12-04T10:42:05.3700394Z Running 0 items in this shard: 2025-12-04T10:42:05.3700592Z 2025-12-04T10:42:05.3700878Z Finished nn/test_module_hooks 1/1 ... [2025-12-04 10:42:05.369728][5487.516261733], took 0.07min 2025-12-04T10:42:05.4302295Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_module_hooks/nn.test_module_hooks-802c6fea2dba0af2.xml 2025-12-04T10:42:05.5986334Z W1204 10:42:05.597000 87840 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:07.1095321Z Running profiler/test_memory_profiler 1/1 ... [2025-12-04 10:42:07.109025][5489.255557943] 2025-12-04T10:42:07.1096350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:07.1098607Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_memory_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 10:42:07.109488] 2025-12-04T10:42:08.1467507Z 2025-12-04T10:42:08.1468708Z torch_np/numpy_tests/lib/test_twodim_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_5ba02c8721f2d79f_.log 2025-12-04T10:42:08.1469837Z Running 0 items in this shard: 2025-12-04T10:42:08.1470056Z 2025-12-04T10:42:08.1470449Z Finished torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-12-04 10:42:08.146707][5490.293241726], took 0.07min 2025-12-04T10:42:08.1596364Z W1204 10:42:08.159000 87874 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:08.2229464Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_twodim_base/torch_np.numpy_tests.lib.test_twodim_base-c5fbb26892921fa0.xml 2025-12-04T10:42:09.7543137Z Running test_jit_llga_fuser 1/1 ... [2025-12-04 10:42:09.753627][5491.900154044] 2025-12-04T10:42:09.7544357Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:09.7556554Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_llga_fuser.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 10:42:09.755081] 2025-12-04T10:42:11.1164242Z W1204 10:42:11.115000 87907 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:11.6200861Z 2025-12-04T10:42:11.6202366Z profiler/test_memory_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_memory_profiler_1.1_4a31c36a17d09fee_.log 2025-12-04T10:42:11.6229196Z Running 50 items in this shard: test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none 2025-12-04T10:42:11.6255447Z 2025-12-04T10:42:11.6255789Z Finished profiler/test_memory_profiler 1/1 ... [2025-12-04 10:42:11.620094][5493.76662695], took 0.08min 2025-12-04T10:42:11.6778642Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_memory_profiler/profiler.test_memory_profiler-35ec66ef584a0ace.xml 2025-12-04T10:42:12.5843849Z Running test_serialization 1/1 ... [2025-12-04 10:42:12.583916][5494.730449072] 2025-12-04T10:42:12.5844449Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:12.5846827Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_serialization.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 10:42:12.584396] 2025-12-04T10:42:14.3785862Z 2025-12-04T10:42:14.3787028Z test_jit_llga_fuser 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_llga_fuser_1.1_85e94cfca38618a4_.log 2025-12-04T10:42:14.3787860Z Running 0 items in this shard: 2025-12-04T10:42:14.3788057Z 2025-12-04T10:42:14.3788349Z Finished test_jit_llga_fuser 1/1 ... [2025-12-04 10:42:14.378439][5496.524969782], took 0.08min 2025-12-04T10:42:14.4029746Z W1204 10:42:14.402000 87942 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:14.4356640Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_llga_fuser/test_jit_llga_fuser-bb8a4e2ee75544aa.xml 2025-12-04T10:42:15.9333309Z Running optim/test_optim 1/1 ... [2025-12-04 10:42:15.932709][5498.079236253] 2025-12-04T10:42:15.9334454Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:15.9342568Z Executing ['/opt/conda/envs/py_3.10/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 10:42:15.933707] 2025-12-04T10:42:17.2485878Z W1204 10:42:17.247000 87975 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:17.5604710Z 2025-12-04T10:42:17.5606317Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_11c597fa16713db6_.log 2025-12-04T10:42:17.5607153Z Running 0 items in this shard: 2025-12-04T10:42:17.5607354Z 2025-12-04T10:42:17.5607643Z Finished test_serialization 1/1 ... [2025-12-04 10:42:17.560346][5499.706880267], took 0.08min 2025-12-04T10:42:17.6181507Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_serialization/test_serialization-7eaa44673dd37108.xml 2025-12-04T10:42:18.7466808Z Running torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 10:42:18.745949][5500.892476003] 2025-12-04T10:42:18.7467880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:18.7469962Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_pocketfft.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 10:42:18.746655] 2025-12-04T10:42:19.7499561Z 2025-12-04T10:42:19.7500532Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_24353a9fc320b767_.log 2025-12-04T10:42:19.7501338Z 2025-12-04T10:42:19.7501701Z Finished optim/test_optim 1/1 ... [2025-12-04 10:42:19.749939][5501.896470314], took 0.06min 2025-12-04T10:42:20.4162590Z W1204 10:42:20.415000 88010 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:21.9455053Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 10:42:21.945036][5504.091568265] 2025-12-04T10:42:21.9455674Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:21.9458032Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_shape_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 10:42:21.945504] 2025-12-04T10:42:22.6350237Z W1204 10:42:22.634000 88044 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:22.8283047Z 2025-12-04T10:42:22.8284278Z torch_np/numpy_tests/fft/test_pocketfft 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_pocketfft_1.1_484b1772c5862604_.log 2025-12-04T10:42:22.8285313Z Running 0 items in this shard: 2025-12-04T10:42:22.8285509Z 2025-12-04T10:42:22.8285911Z Finished torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-12-04 10:42:22.828227][5504.974761103], took 0.07min 2025-12-04T10:42:22.8858464Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_pocketfft/torch_np.numpy_tests.fft.test_pocketfft-e4fd368b418c6d09.xml 2025-12-04T10:42:24.1542428Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 10:42:24.153780][5506.300314321] 2025-12-04T10:42:24.1543090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:24.1545059Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_getlimits.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 10:42:24.154222] 2025-12-04T10:42:25.6667827Z W1204 10:42:25.665000 88077 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:26.0486679Z 2025-12-04T10:42:26.0488421Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_4380b025f7c71674_.log 2025-12-04T10:42:26.0489743Z Running 0 items in this shard: 2025-12-04T10:42:26.0489959Z 2025-12-04T10:42:26.0490539Z Finished torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 10:42:26.048588][5508.195118598], took 0.07min 2025-12-04T10:42:26.1078560Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_shape_base_/torch_np.numpy_tests.lib.test_shape_base_-a2f91eab7176c470.xml 2025-12-04T10:42:27.1645589Z Running torch_np/test_ndarray_methods 1/1 ... [2025-12-04 10:42:27.164090][5509.310623042] 2025-12-04T10:42:27.1646193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:27.1649522Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_ndarray_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 10:42:27.164636] 2025-12-04T10:42:28.2269109Z 2025-12-04T10:42:28.2270510Z torch_np/numpy_tests/core/test_getlimits 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_getlimits_1.1_584b8b56c0a7e404_.log 2025-12-04T10:42:28.2271552Z Running 0 items in this shard: 2025-12-04T10:42:28.2271762Z 2025-12-04T10:42:28.2272151Z Finished torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 10:42:28.226818][5510.373351528], took 0.07min 2025-12-04T10:42:28.2850882Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_getlimits/torch_np.numpy_tests.core.test_getlimits-6cfb80d91a1d321d.xml 2025-12-04T10:42:28.8547177Z W1204 10:42:28.853000 88112 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:30.4069391Z Running test_view_ops 1/1 ... [2025-12-04 10:42:30.406275][5512.552803913] 2025-12-04T10:42:30.4070476Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:30.4072643Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_view_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 10:42:30.406940] 2025-12-04T10:42:31.0924385Z W1204 10:42:31.091000 88146 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:31.8783316Z 2025-12-04T10:42:31.8784519Z torch_np/test_ndarray_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ndarray_methods_1.1_8ca5e5d18db6dbd7_.log 2025-12-04T10:42:31.8785888Z Running 0 items in this shard: 2025-12-04T10:42:31.8786224Z 2025-12-04T10:42:31.8786661Z Finished torch_np/test_ndarray_methods 1/1 ... [2025-12-04 10:42:31.878339][5514.02486699], took 0.08min 2025-12-04T10:42:31.9680983Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ndarray_methods/torch_np.test_ndarray_methods-7a706853986465a6.xml 2025-12-04T10:42:32.6197838Z Running test_type_info 1/1 ... [2025-12-04 10:42:32.619259][5514.765791292] 2025-12-04T10:42:32.6198774Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:32.6201832Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_info.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 10:42:32.619785] 2025-12-04T10:42:34.6622117Z W1204 10:42:34.661000 88180 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:34.7559140Z 2025-12-04T10:42:34.7560089Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_6141a0fd877ba405_.log 2025-12-04T10:42:34.7561116Z Running 0 items in this shard: 2025-12-04T10:42:34.7561361Z 2025-12-04T10:42:34.7561614Z Finished test_view_ops 1/1 ... [2025-12-04 10:42:34.755903][5516.90243246], took 0.07min 2025-12-04T10:42:34.8452320Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_view_ops/test_view_ops-2bce5e82cfed9644.xml 2025-12-04T10:42:36.2082179Z Running functorch/test_aotdispatch 1/1 ... [2025-12-04 10:42:36.207513][5518.354039668] 2025-12-04T10:42:36.2083520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:36.2092416Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.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 10:42:36.208685] 2025-12-04T10:42:36.6618958Z 2025-12-04T10:42:36.6620059Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_1d932df4635cc34e_.log 2025-12-04T10:42:36.6620830Z Running 0 items in this shard: 2025-12-04T10:42:36.6621043Z 2025-12-04T10:42:36.6621316Z Finished test_type_info 1/1 ... [2025-12-04 10:42:36.661821][5518.808352945], took 0.07min 2025-12-04T10:42:36.7209970Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_info/test_type_info-91b1f0480d7d013f.xml 2025-12-04T10:42:37.5592103Z W1204 10:42:37.558000 88214 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:39.0797362Z Running test_cuda_multigpu 1/1 ... [2025-12-04 10:42:39.079214][5521.225746445] 2025-12-04T10:42:39.0797901Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:39.0800564Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:42:39.079711] 2025-12-04T10:42:39.4672215Z W1204 10:42:39.466000 88247 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:41.1262146Z Running test_unary_ufuncs 1/1 ... [2025-12-04 10:42:41.125710][5523.272242246] 2025-12-04T10:42:41.1262656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:41.1266000Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:42:41.126215] 2025-12-04T10:42:43.3937417Z 2025-12-04T10:42:43.3939024Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_e52dbcb155f8708a_.log 2025-12-04T10:42:43.3939926Z Running 0 items in this shard: 2025-12-04T10:42:43.3940142Z 2025-12-04T10:42:43.3940427Z Finished test_cuda_multigpu 1/1 ... [2025-12-04 10:42:43.393658][5525.540181118], took 0.07min 2025-12-04T10:42:43.4544570Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-1160b1b001e5db32.xml 2025-12-04T10:42:43.5263732Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-cd78e85e46cfded1.xml 2025-12-04T10:42:43.8814264Z 2025-12-04T10:42:43.8815353Z functorch/test_aotdispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.1_d0dc5c2c56ce3930_.log 2025-12-04T10:42:43.8816270Z Running 0 items in this shard: 2025-12-04T10:42:43.8816494Z 2025-12-04T10:42:43.8816839Z Finished functorch/test_aotdispatch 1/1 ... [2025-12-04 10:42:43.881310][5526.027845384], took 0.13min 2025-12-04T10:42:46.1608153Z W1204 10:42:46.159000 88314 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:46.6977350Z W1204 10:42:46.696000 88330 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:46.7071204Z 2025-12-04T10:42:46.7072345Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_50d835add65bde14_.log 2025-12-04T10:42:46.7073581Z Running 0 items in this shard: 2025-12-04T10:42:46.7073977Z 2025-12-04T10:42:46.7074416Z Finished test_unary_ufuncs 1/1 ... [2025-12-04 10:42:46.707250][5528.853779051], took 0.09min 2025-12-04T10:42:46.7662547Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-dee6d8bcf7806e3f.xml 2025-12-04T10:42:47.7519736Z Running test_type_promotion 1/1 ... [2025-12-04 10:42:47.751539][5529.898071498] 2025-12-04T10:42:47.7520291Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:47.7523105Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_promotion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:42:47.752023] 2025-12-04T10:42:49.5729988Z W1204 10:42:49.572000 88363 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:42:51.8999265Z 2025-12-04T10:42:51.9000726Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_6da4b7203b2eab6f_.log 2025-12-04T10:42:51.9001748Z Running 0 items in this shard: 2025-12-04T10:42:51.9002241Z 2025-12-04T10:42:51.9002779Z Finished test_type_promotion 1/1 ... [2025-12-04 10:42:51.899807][5534.046341948], took 0.07min 2025-12-04T10:42:51.9582352Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_promotion/test_type_promotion-30c752274ed0841f.xml 2025-12-04T10:42:53.2085443Z Running test batch 'tests to run' cost 4652.76 seconds 2025-12-04T10:42:53.2600368Z Emitting td_test_failure_stats_v2 2025-12-04T10:42:53.3267286Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844973_fcb0182ed0fd11f0a3f90242ac110002 2025-12-04T10:42:54.3543386Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844973_fcb0182ed0fd11f0a3f90242ac110002 2025-12-04T10:42:54.3585286Z Emitting td_test_failure_stats_v2 2025-12-04T10:42:54.3588891Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844974_fd4ec190d0fd11f0a3f90242ac110002 2025-12-04T10:42:54.3987023Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844974_fd4ec190d0fd11f0a3f90242ac110002 2025-12-04T10:42:54.4007694Z Emitting td_test_failure_stats_v2 2025-12-04T10:42:54.4011222Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844974_fd553412d0fd11f0a3f90242ac110002 2025-12-04T10:42:54.4395503Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844974_fd553412d0fd11f0a3f90242ac110002 2025-12-04T10:42:54.4416166Z Emitting td_test_failure_stats_v2 2025-12-04T10:42:54.4419430Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844974_fd5b6e68d0fd11f0a3f90242ac110002 2025-12-04T10:42:54.4816162Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844974_fd5b6e68d0fd11f0a3f90242ac110002 2025-12-04T10:42:54.4864725Z test_ci_sanity_check_fail 1/1 failed! 2025-12-04T10:42:54.4865170Z test_mkldnn_fusion 1/1 failed! Received signal: SIGKILL 2025-12-04T10:42:54.4865622Z test_type_hints 1/1 failed! Received signal: SIGKILL 2025-12-04T10:42:54.4866010Z test_dynamic_shapes 1/1 failed! 2025-12-04T10:43:17.4645158Z 2025-12-04T10:43:17.4648820Z real 78m2.879s 2025-12-04T10:43:17.4649215Z user 249m42.727s 2025-12-04T10:43:17.4649453Z sys 52m34.462s 2025-12-04T10:43:17.4659042Z + assert_git_not_dirty 2025-12-04T10:43:17.4696340Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 != *rocm* ]] 2025-12-04T10:43:17.4703087Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 != *xla* ]] 2025-12-04T10:43:17.4717459Z ++ git status --porcelain 2025-12-04T10:43:17.4719136Z ++ grep -v '?? third_party' 2025-12-04T10:44:03.4563919Z ++ true 2025-12-04T10:44:03.4608363Z + git_status= 2025-12-04T10:44:03.4608632Z + [[ -n '' ]] 2025-12-04T10:44:03.4615808Z + test_aten 2025-12-04T10:44:03.4616076Z + echo 'Running ATen tests with pytorch lib' 2025-12-04T10:44:03.4616516Z Running ATen tests with pytorch lib 2025-12-04T10:44:03.4616829Z + [[ -n '' ]] 2025-12-04T10:44:03.4617074Z + echo 'Running test with the build folder' 2025-12-04T10:44:03.4617425Z Running test with the build folder 2025-12-04T10:44:03.4617735Z + TEST_BASE_DIR=build/bin 2025-12-04T10:44:03.4624324Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so build/bin 2025-12-04T10:44:03.4667619Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so build/bin 2025-12-04T10:44:03.4687924Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin 2025-12-04T10:44:03.4702062Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin 2025-12-04T10:44:03.4719959Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_nvshmem.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so build/bin 2025-12-04T10:44:03.4730663Z + ls build/bin 2025-12-04T10:44:03.4805091Z BackoffTest 2025-12-04T10:44:03.4805352Z CppSignature_test 2025-12-04T10:44:03.4805591Z Dict_test 2025-12-04T10:44:03.4805957Z Dimname_test 2025-12-04T10:44:03.4806382Z FileStoreTest 2025-12-04T10:44:03.4806851Z HashStoreTest 2025-12-04T10:44:03.4807268Z IListRef_test 2025-12-04T10:44:03.4807733Z KernelFunction_test 2025-12-04T10:44:03.4808136Z List_test 2025-12-04T10:44:03.4808637Z MaybeOwned_test 2025-12-04T10:44:03.4809002Z NamedTensor_test 2025-12-04T10:44:03.4809411Z ProcessGroupGlooAsyncTest 2025-12-04T10:44:03.4810040Z ProcessGroupGlooTest 2025-12-04T10:44:03.4810307Z ProcessGroupMPITest 2025-12-04T10:44:03.4810763Z ProcessGroupNCCLErrorsTest 2025-12-04T10:44:03.4811066Z ProcessGroupNCCLTest 2025-12-04T10:44:03.4811314Z StorageUtils_test 2025-12-04T10:44:03.4811557Z TCPStoreTest 2025-12-04T10:44:03.4811786Z apply_utils_test 2025-12-04T10:44:03.4812167Z atest 2025-12-04T10:44:03.4812391Z backend_fallback_test 2025-12-04T10:44:03.4812800Z basic 2025-12-04T10:44:03.4813145Z broadcast_test 2025-12-04T10:44:03.4813395Z c10_AllocatorConfig_test 2025-12-04T10:44:03.4813670Z c10_ArrayRef_test 2025-12-04T10:44:03.4813896Z c10_Bitset_test 2025-12-04T10:44:03.4814164Z c10_CompileTimeFunctionPointer_test 2025-12-04T10:44:03.4814495Z c10_ConstexprCrc_test 2025-12-04T10:44:03.4814918Z c10_DeadlockDetection_test 2025-12-04T10:44:03.4815217Z c10_DeviceGuard_test 2025-12-04T10:44:03.4815468Z c10_Device_test 2025-12-04T10:44:03.4815715Z c10_DispatchKeySet_test 2025-12-04T10:44:03.4815969Z c10_Enumerate_test 2025-12-04T10:44:03.4816205Z c10_Half_test 2025-12-04T10:44:03.4816442Z c10_InlineDeviceGuard_test 2025-12-04T10:44:03.4816719Z c10_InlineStreamGuard_test 2025-12-04T10:44:03.4817002Z c10_IntrusiveList_test 2025-12-04T10:44:03.4817259Z c10_LeftRight_test 2025-12-04T10:44:03.4817494Z c10_NetworkFlow_test 2025-12-04T10:44:03.4817747Z c10_Scalar_test 2025-12-04T10:44:03.4817985Z c10_Semaphore_test 2025-12-04T10:44:03.4818225Z c10_SizesAndStrides_test 2025-12-04T10:44:03.4818501Z c10_StreamGuard_test 2025-12-04T10:44:03.4818753Z c10_SymInt_test 2025-12-04T10:44:03.4818982Z c10_Synchronized_test 2025-12-04T10:44:03.4819246Z c10_ThreadLocal_test 2025-12-04T10:44:03.4819504Z c10_TypeIndex_test 2025-12-04T10:44:03.4819736Z c10_accumulate_test 2025-12-04T10:44:03.4819988Z c10_bfloat16_test 2025-12-04T10:44:03.4820237Z c10_bit_cast_test 2025-12-04T10:44:03.4820463Z c10_complex_math_test 2025-12-04T10:44:03.4820890Z c10_complex_test 2025-12-04T10:44:03.4821255Z c10_cow_test 2025-12-04T10:44:03.4821537Z c10_cuda_CUDAAssertionsTest_1_var_test 2025-12-04T10:44:03.4821902Z c10_cuda_CUDAAssertionsTest_catches_stream 2025-12-04T10:44:03.4822723Z c10_cuda_CUDAAssertionsTest_catches_thread_and_block_and_device 2025-12-04T10:44:03.4823535Z c10_cuda_CUDAAssertionsTest_from_2_processes 2025-12-04T10:44:03.4824371Z c10_cuda_CUDAAssertionsTest_multiple_writes_from_blocks_and_threads 2025-12-04T10:44:03.4825463Z c10_cuda_CUDAAssertionsTest_multiple_writes_from_multiple_blocks 2025-12-04T10:44:03.4826454Z c10_cuda_CUDAAssertionsTest_multiple_writes_from_same_block 2025-12-04T10:44:03.4827191Z c10_cuda_CUDATest 2025-12-04T10:44:03.4827614Z c10_error_test 2025-12-04T10:44:03.4828029Z c10_exception_test 2025-12-04T10:44:03.4828434Z c10_flags_test 2025-12-04T10:44:03.4828855Z c10_generic_math_test 2025-12-04T10:44:03.4829568Z c10_intrusive_ptr_benchmark 2025-12-04T10:44:03.4829854Z c10_intrusive_ptr_test 2025-12-04T10:44:03.4830119Z c10_irange_test 2025-12-04T10:44:03.4830359Z c10_lazy_test 2025-12-04T10:44:03.4830579Z c10_logging_test 2025-12-04T10:44:03.4830823Z c10_nofatal_test 2025-12-04T10:44:03.4831062Z c10_optional_test 2025-12-04T10:44:03.4831318Z c10_ordered_preserving_dict_test 2025-12-04T10:44:03.4831625Z c10_registry_test 2025-12-04T10:44:03.4839973Z c10_small_vector_test 2025-12-04T10:44:03.4840400Z c10_ssize_test 2025-12-04T10:44:03.4840645Z c10_string_util_test 2025-12-04T10:44:03.4840909Z c10_string_view_test 2025-12-04T10:44:03.4841169Z c10_tempfile_test 2025-12-04T10:44:03.4841398Z c10_typeid_test 2025-12-04T10:44:03.4841643Z cpu_allocator_test 2025-12-04T10:44:03.4841898Z cpu_generator_test 2025-12-04T10:44:03.4842145Z cpu_profiling_allocator_test 2025-12-04T10:44:03.4842437Z cpu_rng_test 2025-12-04T10:44:03.4842694Z cuda_allocatorTraceTracker_test 2025-12-04T10:44:03.4843006Z cuda_allocator_test 2025-12-04T10:44:03.4843262Z cuda_apply_test 2025-12-04T10:44:03.4843508Z cuda_atomic_ops_test 2025-12-04T10:44:03.4843874Z cuda_caching_host_allocator_test 2025-12-04T10:44:03.4844170Z cuda_complex_math_test 2025-12-04T10:44:03.4844435Z cuda_complex_test 2025-12-04T10:44:03.4844677Z cuda_cub_test 2025-12-04T10:44:03.4844912Z cuda_cublas_handle_pool_test 2025-12-04T10:44:03.4845206Z cuda_cudnn_test 2025-12-04T10:44:03.4845448Z cuda_device_test 2025-12-04T10:44:03.4845685Z cuda_distributions_test 2025-12-04T10:44:03.4846114Z cuda_dlconvertor_test 2025-12-04T10:44:03.4846374Z cuda_event_test 2025-12-04T10:44:03.4846608Z cuda_exchange_device_test 2025-12-04T10:44:03.4846890Z cuda_generator_test 2025-12-04T10:44:03.4847142Z cuda_half_test 2025-12-04T10:44:03.4847370Z cuda_integer_divider_test 2025-12-04T10:44:03.4847648Z cuda_optional_test 2025-12-04T10:44:03.4847916Z cuda_packedtensoraccessor_test 2025-12-04T10:44:03.4848222Z cuda_reportMemoryUsage_test 2025-12-04T10:44:03.4848522Z cuda_stream_test 2025-12-04T10:44:03.4848767Z cuda_vectorized_test 2025-12-04T10:44:03.4849011Z dlconvertor_test 2025-12-04T10:44:03.4849255Z example_allreduce 2025-12-04T10:44:03.4849507Z extension_backend_test 2025-12-04T10:44:03.4849753Z half_test 2025-12-04T10:44:03.4849979Z inline_container_test 2025-12-04T10:44:03.4850234Z ivalue_test 2025-12-04T10:44:03.4850461Z kernel_function_legacy_test 2025-12-04T10:44:03.4850749Z kernel_function_test 2025-12-04T10:44:03.4851014Z kernel_lambda_legacy_test 2025-12-04T10:44:03.4851293Z kernel_lambda_test 2025-12-04T10:44:03.4851533Z kernel_stackbased_test 2025-12-04T10:44:03.4851794Z lazy_tensor_test 2025-12-04T10:44:03.4852034Z legacy_vmap_test 2025-12-04T10:44:03.4852253Z libc10.so 2025-12-04T10:44:03.4852471Z libc10_cuda.so 2025-12-04T10:44:03.4852705Z libc10d_cuda_test.so 2025-12-04T10:44:03.4852946Z libcaffe2_nvrtc.so 2025-12-04T10:44:03.4853185Z 'libmkldnn*' 2025-12-04T10:44:03.4853408Z 'libnccl*' 2025-12-04T10:44:03.4853615Z libtorch.so 2025-12-04T10:44:03.4853844Z libtorch_cpu.so 2025-12-04T10:44:03.4854085Z libtorch_cuda.so 2025-12-04T10:44:03.4854321Z libtorch_cuda_linalg.so 2025-12-04T10:44:03.4854597Z libtorch_global_deps.so 2025-12-04T10:44:03.4854869Z libtorch_nvshmem.so 2025-12-04T10:44:03.4855112Z libtorch_python.so 2025-12-04T10:44:03.4855363Z libtorchbind_test.so 2025-12-04T10:44:03.4855647Z make_boxed_from_unboxed_functor_test 2025-12-04T10:44:03.4855953Z math_kernel_test 2025-12-04T10:44:03.4856197Z memory_format_test 2025-12-04T10:44:03.4856459Z memory_overlapping_test 2025-12-04T10:44:03.4856724Z mobile_memory_cleanup 2025-12-04T10:44:03.4856979Z native_test 2025-12-04T10:44:03.4857209Z op_allowlist_test 2025-12-04T10:44:03.4857446Z op_registration_test 2025-12-04T10:44:03.4857706Z operator_name_test 2025-12-04T10:44:03.4857955Z operators_test 2025-12-04T10:44:03.4858199Z packedtensoraccessor_test 2025-12-04T10:44:03.4858485Z parallel_benchmark 2025-12-04T10:44:03.4858817Z pow_test 2025-12-04T10:44:03.4859146Z protoc 2025-12-04T10:44:03.4859367Z protoc-3.13.0.0 2025-12-04T10:44:03.4859608Z quantized_test 2025-12-04T10:44:03.4859845Z reduce_ops_test 2025-12-04T10:44:03.4860081Z reportMemoryUsage_test 2025-12-04T10:44:03.4860352Z scalar_tensor_test 2025-12-04T10:44:03.4860590Z scalar_test 2025-12-04T10:44:03.4860848Z stride_properties_test 2025-12-04T10:44:03.4861121Z tensor_iterator_test 2025-12-04T10:44:03.4861382Z test_aoti_abi_check 2025-12-04T10:44:03.4861613Z test_api 2025-12-04T10:44:03.4861834Z test_cpp_rpc 2025-12-04T10:44:03.4862071Z test_dist_autograd 2025-12-04T10:44:03.4862296Z test_jit 2025-12-04T10:44:03.4862507Z test_lazy 2025-12-04T10:44:03.4862722Z test_parallel 2025-12-04T10:44:03.4862939Z test_vec_half_AVX2 2025-12-04T10:44:03.4863184Z test_vec_half_AVX512 2025-12-04T10:44:03.4863443Z test_vec_half_DEFAULT 2025-12-04T10:44:03.4863685Z thread_init_test 2025-12-04T10:44:03.4863929Z torch_shm_manager 2025-12-04T10:44:03.4864174Z type_ptr_test 2025-12-04T10:44:03.4864394Z type_test 2025-12-04T10:44:03.4864621Z undefined_tensor_test 2025-12-04T10:44:03.4864890Z vec_test_all_types_AVX2 2025-12-04T10:44:03.4865154Z vec_test_all_types_AVX512 2025-12-04T10:44:03.4865440Z vec_test_all_types_DEFAULT 2025-12-04T10:44:03.4865725Z verify_api_visibility 2025-12-04T10:44:03.4865981Z weakref_test 2025-12-04T10:44:03.4866195Z wrapdim_test 2025-12-04T10:44:03.4866421Z xla_tensor_test 2025-12-04T10:44:03.4866811Z + aten/tools/run_tests.sh build/bin 2025-12-04T10:44:03.4867746Z + set -e 2025-12-04T10:44:03.4870974Z ++ dirname aten/tools/run_tests.sh 2025-12-04T10:44:03.4896299Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-12-04T10:44:03.4896871Z + export CPP_TESTS_DIR=build/bin 2025-12-04T10:44:03.4897188Z + CPP_TESTS_DIR=build/bin 2025-12-04T10:44:03.4897465Z + VALGRIND=ON 2025-12-04T10:44:03.4899388Z + 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 2025-12-04T10:44:05.2034388Z W1204 10:44:05.202000 88555 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:09.0394004Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:44:09.0535507Z Found test times from artifacts 2025-12-04T10:44:09.1043039Z Found test times from artifacts 2025-12-04T10:44:09.1057411Z Running all tests 2025-12-04T10:44:09.1063014Z Running parallel tests on 3 processes 2025-12-04T10:44:09.1065421Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:44:09.1065772Z Serial tests (0): 2025-12-04T10:44:09.1066037Z Parallel tests (19): 2025-12-04T10:44:09.1066351Z cpp/Dict_test 1/1 2025-12-04T10:44:09.1066607Z cpp/Dimname_test 1/1 2025-12-04T10:44:09.1066894Z cpp/NamedTensor_test 1/1 2025-12-04T10:44:09.1067193Z cpp/apply_utils_test 1/1 2025-12-04T10:44:09.1067463Z cpp/atest 1/1 2025-12-04T10:44:09.1067705Z cpp/basic 1/1 2025-12-04T10:44:09.1067958Z cpp/broadcast_test 1/1 2025-12-04T10:44:09.1068238Z cpp/cpu_generator_test 1/1 2025-12-04T10:44:09.1068540Z cpp/dlconvertor_test 1/1 2025-12-04T10:44:09.1068848Z cpp/extension_backend_test 1/1 2025-12-04T10:44:09.1069158Z cpp/lazy_tensor_test 1/1 2025-12-04T10:44:09.1069447Z cpp/legacy_vmap_test 1/1 2025-12-04T10:44:09.1069729Z cpp/native_test 1/1 2025-12-04T10:44:09.1069987Z cpp/operators_test 1/1 2025-12-04T10:44:09.1070485Z cpp/scalar_tensor_test 1/1 2025-12-04T10:44:09.1070783Z cpp/scalar_test 1/1 2025-12-04T10:44:09.1071045Z cpp/tensor_iterator_test 1/1 2025-12-04T10:44:09.1071361Z cpp/undefined_tensor_test 1/1 2025-12-04T10:44:09.1072084Z cpp/wrapdim_test 1/1 2025-12-04T10:44:09.1072375Z Name: excluded (est. time: 0.0min) 2025-12-04T10:44:09.1072681Z Serial tests (0): 2025-12-04T10:44:09.1072933Z Parallel tests (0): 2025-12-04T10:44:09.1073328Z Running cpp/Dict_test 1/1 ... [2025-12-04 10:44:09.106924][5611.253459743] 2025-12-04T10:44:09.1073777Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:09.1074199Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:09.1074792Z Finished cpp/Dict_test 1/1 ... [2025-12-04 10:44:09.107106][5611.253646214], took 0.00min 2025-12-04T10:44:09.8077020Z Uploading artifacts took 0.64 seconds 2025-12-04T10:44:09.8077659Z Running cpp/Dimname_test 1/1 ... [2025-12-04 10:44:09.807418][5611.953951281] 2025-12-04T10:44:09.8078153Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:09.8078581Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:09.8079169Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 10:44:09.807590][5611.954130667], took 0.00min 2025-12-04T10:44:09.8646681Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 10:44:09.864329][5612.010863295] 2025-12-04T10:44:09.8647242Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:09.8647673Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:09.8648302Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 10:44:09.864530][5612.011068736], took 0.00min 2025-12-04T10:44:09.9214340Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 10:44:09.920966][5612.067499533] 2025-12-04T10:44:09.9214868Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:09.9215518Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:09.9216136Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 10:44:09.921153][5612.067692287], took 0.00min 2025-12-04T10:44:09.9776987Z Running cpp/atest 1/1 ... [2025-12-04 10:44:09.977245][5612.12377839] 2025-12-04T10:44:09.9777447Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:09.9777874Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:09.9778480Z Finished cpp/atest 1/1 ... [2025-12-04 10:44:09.977440][5612.123978991], took 0.00min 2025-12-04T10:44:10.0339472Z Running cpp/basic 1/1 ... [2025-12-04 10:44:10.033580][5612.180113046] 2025-12-04T10:44:10.0339942Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:10.0340369Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:10.0340939Z Finished cpp/basic 1/1 ... [2025-12-04 10:44:10.033765][5612.1803049], took 0.00min 2025-12-04T10:44:10.0905690Z Running cpp/broadcast_test 1/1 ... [2025-12-04 10:44:10.090179][5612.236711785] 2025-12-04T10:44:10.0906427Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:10.0906855Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:10.0907467Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 10:44:10.090372][5612.236911782], took 0.00min 2025-12-04T10:44:10.1471068Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 10:44:10.146732][5612.293264783] 2025-12-04T10:44:10.1471963Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:10.1472388Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:10.1473011Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 10:44:10.146930][5612.293468327], took 0.00min 2025-12-04T10:44:10.2032381Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 10:44:10.202857][5612.349389121] 2025-12-04T10:44:10.2033238Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:10.2033663Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:10.2034311Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 10:44:10.203053][5612.349592486], took 0.00min 2025-12-04T10:44:10.2597228Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 10:44:10.259382][5612.405914561] 2025-12-04T10:44:10.2597784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:10.2598208Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:10.2599167Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 10:44:10.259572][5612.406110927], took 0.00min 2025-12-04T10:44:10.3160298Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:44:10.315692][5612.462223674] 2025-12-04T10:44:10.3160818Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:10.3161247Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:10.3161850Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:44:10.315878][5612.462417766], took 0.00min 2025-12-04T10:44:10.3724616Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:44:10.372121][5612.518654491] 2025-12-04T10:44:10.3725156Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:10.3725587Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:10.3726199Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:44:10.372313][5612.518852803], took 0.00min 2025-12-04T10:44:10.4287631Z Running cpp/native_test 1/1 ... [2025-12-04 10:44:10.428414][5612.574946118] 2025-12-04T10:44:10.4288117Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:10.4288574Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:10.4289155Z Finished cpp/native_test 1/1 ... [2025-12-04 10:44:10.428597][5612.575136642], took 0.00min 2025-12-04T10:44:10.4854742Z Running cpp/operators_test 1/1 ... [2025-12-04 10:44:10.485144][5612.631677193] 2025-12-04T10:44:10.4855251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:10.4855680Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:10.4856270Z Finished cpp/operators_test 1/1 ... [2025-12-04 10:44:10.485329][5612.631868833], took 0.00min 2025-12-04T10:44:10.5417183Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:44:10.541327][5612.687859926] 2025-12-04T10:44:10.5417879Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:10.5418326Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:10.5419083Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:44:10.541517][5612.688056856], took 0.00min 2025-12-04T10:44:10.5981494Z Running cpp/scalar_test 1/1 ... [2025-12-04 10:44:10.597782][5612.744314619] 2025-12-04T10:44:10.5982125Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:10.5982554Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:10.5983275Z Finished cpp/scalar_test 1/1 ... [2025-12-04 10:44:10.597970][5612.744509657], took 0.00min 2025-12-04T10:44:10.6544267Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:44:10.654086][5612.800617395] 2025-12-04T10:44:10.6544806Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:10.6545250Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:10.6545874Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:44:10.654276][5612.800815692], took 0.00min 2025-12-04T10:44:10.7107800Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:44:10.710447][5612.856979368] 2025-12-04T10:44:10.7108334Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:10.7108759Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:10.7109418Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:44:10.710640][5612.857178026], took 0.00min 2025-12-04T10:44:10.7672919Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 10:44:10.766854][5612.913385988] 2025-12-04T10:44:10.7673453Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:10.7674010Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:10.7674735Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 10:44:10.767047][5612.913587115], took 0.00min 2025-12-04T10:44:12.5845896Z W1204 10:44:12.583000 88581 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:12.6301264Z W1204 10:44:12.628000 88579 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:12.6803688Z W1204 10:44:12.679000 88580 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:14.1070199Z Running cpp/Dict_test 1/1 ... [2025-12-04 10:44:14.106466][5616.252998959] 2025-12-04T10:44:14.1070762Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:14.1071204Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:14.1071794Z Finished cpp/Dict_test 1/1 ... [2025-12-04 10:44:14.106702][5616.253240116], took 0.00min 2025-12-04T10:44:14.1467471Z Running cpp/Dimname_test 1/1 ... [2025-12-04 10:44:14.146304][5616.292834629] 2025-12-04T10:44:14.1468118Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:14.1468573Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:14.1469176Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 10:44:14.146621][5616.293156773], took 0.00min 2025-12-04T10:44:14.1869173Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 10:44:14.186458][5616.332990871] 2025-12-04T10:44:14.1869775Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:14.1870201Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:14.1870865Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 10:44:14.186673][5616.333211625], took 0.00min 2025-12-04T10:44:16.9802206Z W1204 10:44:16.979000 88634 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:17.0050401Z W1204 10:44:17.004000 88635 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:17.0052286Z W1204 10:44:17.004000 88633 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:18.5108969Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 10:44:18.510245][5620.656772886] 2025-12-04T10:44:18.5109554Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:18.5109980Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:18.5110604Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 10:44:18.510490][5620.657028691], took 0.00min 2025-12-04T10:44:18.5724744Z Running cpp/atest 1/1 ... [2025-12-04 10:44:18.571954][5620.718486499] 2025-12-04T10:44:18.5725336Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:18.5725758Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:18.5726326Z Finished cpp/atest 1/1 ... [2025-12-04 10:44:18.572176][5620.718714983], took 0.00min 2025-12-04T10:44:18.5782780Z Running cpp/basic 1/1 ... [2025-12-04 10:44:18.577968][5620.724500438] 2025-12-04T10:44:18.5783624Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:18.5784277Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:18.5784839Z Finished cpp/basic 1/1 ... [2025-12-04 10:44:18.578179][5620.724717925], took 0.00min 2025-12-04T10:44:21.3122022Z W1204 10:44:21.311000 88684 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:21.3601526Z W1204 10:44:21.359000 88686 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:21.4205262Z W1204 10:44:21.419000 88685 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:22.7916157Z Running cpp/broadcast_test 1/1 ... [2025-12-04 10:44:22.791163][5624.937696065] 2025-12-04T10:44:22.7916682Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:22.7917115Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:22.7917732Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 10:44:22.791361][5624.937900439], took 0.00min 2025-12-04T10:44:22.8680876Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 10:44:22.867714][5625.01424461] 2025-12-04T10:44:22.8681515Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:22.8682246Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:22.8682883Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 10:44:22.868024][5625.014558874], took 0.00min 2025-12-04T10:44:22.9066080Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 10:44:22.906119][5625.052651507] 2025-12-04T10:44:22.9066677Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:22.9067116Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:22.9067754Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 10:44:22.906375][5625.052912178], took 0.00min 2025-12-04T10:44:25.6824940Z W1204 10:44:25.681000 88735 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:25.7797600Z W1204 10:44:25.778000 88736 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:25.8951485Z W1204 10:44:25.894000 88737 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:27.1396596Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 10:44:27.139117][5629.28565012] 2025-12-04T10:44:27.1397181Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:27.1397675Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:27.1398339Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 10:44:27.139351][5629.285888684], took 0.00min 2025-12-04T10:44:27.2321098Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:44:27.231630][5629.378163383] 2025-12-04T10:44:27.2321650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:27.2322082Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:27.2322705Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:44:27.231830][5629.37836972], took 0.00min 2025-12-04T10:44:27.3644575Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:44:27.363996][5629.510529628] 2025-12-04T10:44:27.3645119Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:27.3645546Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:27.3646169Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:44:27.364199][5629.510738087], took 0.00min 2025-12-04T10:44:30.0550854Z W1204 10:44:30.054000 88786 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:30.0751196Z W1204 10:44:30.074000 88787 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:30.2369286Z W1204 10:44:30.236000 88788 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:31.5678741Z Running cpp/native_test 1/1 ... [2025-12-04 10:44:31.567392][5633.713924513] 2025-12-04T10:44:31.5679277Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:31.5679702Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:31.5680302Z Finished cpp/native_test 1/1 ... [2025-12-04 10:44:31.567597][5633.714135934], took 0.00min 2025-12-04T10:44:31.5695356Z Running cpp/operators_test 1/1 ... [2025-12-04 10:44:31.569250][5633.715782783] 2025-12-04T10:44:31.5695846Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:31.5696289Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:31.5696893Z Finished cpp/operators_test 1/1 ... [2025-12-04 10:44:31.569455][5633.715992842], took 0.00min 2025-12-04T10:44:31.7713136Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:44:31.770827][5633.917360953] 2025-12-04T10:44:31.7713702Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:31.7714128Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:31.7714758Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:44:31.771025][5633.917564849], took 0.00min 2025-12-04T10:44:34.3358113Z W1204 10:44:34.334000 88838 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:34.3737072Z W1204 10:44:34.372000 88837 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:34.5653568Z W1204 10:44:34.564000 88839 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:35.8403142Z Running cpp/scalar_test 1/1 ... [2025-12-04 10:44:35.839791][5637.986322805] 2025-12-04T10:44:35.8404101Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:35.8409465Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:35.8410078Z Finished cpp/scalar_test 1/1 ... [2025-12-04 10:44:35.839998][5637.986537139], took 0.00min 2025-12-04T10:44:35.8783183Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:44:35.877849][5638.024380324] 2025-12-04T10:44:35.8783765Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:35.8784190Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:35.8784812Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:44:35.878068][5638.024607204], took 0.00min 2025-12-04T10:44:36.0528618Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:44:36.052384][5638.198917445] 2025-12-04T10:44:36.0529233Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:36.0529653Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:36.0530276Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:44:36.052590][5638.199129445], took 0.00min 2025-12-04T10:44:38.6748358Z W1204 10:44:38.673000 88888 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:38.6759285Z W1204 10:44:38.675000 88889 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:38.9418068Z W1204 10:44:38.941000 88890 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:40.1890831Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 10:44:40.188634][5642.335167051] 2025-12-04T10:44:40.1891360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:40.1891783Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:40.1892425Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 10:44:40.188838][5642.335378107], took 0.00min 2025-12-04T10:44:41.4439296Z Running test batch 'tests to run' cost 32.34 seconds 2025-12-04T10:44:42.3953656Z + run_if_exists tensor_interop_test 2025-12-04T10:44:42.3954068Z + local test_name=tensor_interop_test 2025-12-04T10:44:42.3954433Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T10:44:42.3954824Z + echo 'Warning: tensor_interop_test does not exist.' 2025-12-04T10:44:42.3955225Z Warning: tensor_interop_test does not exist. 2025-12-04T10:44:42.3955596Z + run_if_exists cudnn_test 2025-12-04T10:44:42.3955885Z + local test_name=cudnn_test 2025-12-04T10:44:42.3956171Z + [[ -x build/bin/cudnn_test ]] 2025-12-04T10:44:42.3956491Z + echo 'Warning: cudnn_test does not exist.' 2025-12-04T10:44:42.3956847Z Warning: cudnn_test does not exist. 2025-12-04T10:44:42.3957159Z + run_if_exists cuda_generator_test 2025-12-04T10:44:42.3957491Z + local test_name=cuda_generator_test 2025-12-04T10:44:42.3957846Z + [[ -x build/bin/cuda_generator_test ]] 2025-12-04T10:44:42.3958290Z + python test/run_test.py --cpp --verbose -i cpp/cuda_generator_test 2025-12-04T10:44:44.1181527Z W1204 10:44:44.117000 88939 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:47.9603945Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:44:47.9708294Z Found test times from artifacts 2025-12-04T10:44:48.0114963Z Found test times from artifacts 2025-12-04T10:44:48.0128748Z Running all tests 2025-12-04T10:44:48.0132953Z Running parallel tests on 3 processes 2025-12-04T10:44:48.0133370Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:44:48.0133700Z Serial tests (0): 2025-12-04T10:44:48.0133950Z Parallel tests (1): 2025-12-04T10:44:48.0134232Z cpp/cuda_generator_test 1/1 2025-12-04T10:44:48.0134550Z Name: excluded (est. time: 0.0min) 2025-12-04T10:44:48.0135420Z Serial tests (0): 2025-12-04T10:44:48.0135657Z Parallel tests (0): 2025-12-04T10:44:48.0136094Z Running cpp/cuda_generator_test 1/1 ... [2025-12-04 10:44:48.013344][5650.159881801] 2025-12-04T10:44:48.0136609Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:48.0137189Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:48.0137828Z Finished cpp/cuda_generator_test 1/1 ... [2025-12-04 10:44:48.013550][5650.160089384], took 0.00min 2025-12-04T10:44:48.6509830Z Uploading artifacts took 0.58 seconds 2025-12-04T10:44:50.4681685Z W1204 10:44:50.467000 88965 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:50.4685446Z W1204 10:44:50.467000 88963 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:50.5171956Z W1204 10:44:50.516000 88964 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:51.9619021Z Running cpp/cuda_generator_test 1/1 ... [2025-12-04 10:44:51.961394][5654.10792621] 2025-12-04T10:44:51.9619595Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:51.9620018Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:51.9620654Z Finished cpp/cuda_generator_test 1/1 ... [2025-12-04 10:44:51.961595][5654.108133968], took 0.00min 2025-12-04T10:44:53.0229438Z Running test batch 'tests to run' cost 5.01 seconds 2025-12-04T10:44:53.9263140Z + run_if_exists apply_test 2025-12-04T10:44:53.9263540Z + local test_name=apply_test 2025-12-04T10:44:53.9263865Z + [[ -x build/bin/apply_test ]] 2025-12-04T10:44:53.9264193Z + echo 'Warning: apply_test does not exist.' 2025-12-04T10:44:53.9264562Z Warning: apply_test does not exist. 2025-12-04T10:44:53.9264890Z + run_if_exists stream_test 2025-12-04T10:44:53.9265183Z + local test_name=stream_test 2025-12-04T10:44:53.9265471Z + [[ -x build/bin/stream_test ]] 2025-12-04T10:44:53.9265840Z + echo 'Warning: stream_test does not exist.' 2025-12-04T10:44:53.9266197Z Warning: stream_test does not exist. 2025-12-04T10:44:53.9266510Z + run_if_exists cuda_half_test 2025-12-04T10:44:53.9266809Z + local test_name=cuda_half_test 2025-12-04T10:44:53.9267118Z + [[ -x build/bin/cuda_half_test ]] 2025-12-04T10:44:53.9267529Z + python test/run_test.py --cpp --verbose -i cpp/cuda_half_test 2025-12-04T10:44:55.6689247Z W1204 10:44:55.667000 89017 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:44:59.5042518Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:44:59.5147948Z Found test times from artifacts 2025-12-04T10:44:59.5555119Z Found test times from artifacts 2025-12-04T10:44:59.5569642Z Running all tests 2025-12-04T10:44:59.5573487Z Running parallel tests on 3 processes 2025-12-04T10:44:59.5573907Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:44:59.5574229Z Serial tests (0): 2025-12-04T10:44:59.5574469Z Parallel tests (1): 2025-12-04T10:44:59.5574736Z cpp/cuda_half_test 1/1 2025-12-04T10:44:59.5575027Z Name: excluded (est. time: 0.0min) 2025-12-04T10:44:59.5575453Z Serial tests (0): 2025-12-04T10:44:59.5575847Z Parallel tests (0): 2025-12-04T10:44:59.5576505Z Running cpp/cuda_half_test 1/1 ... [2025-12-04 10:44:59.557471][5661.704009003] 2025-12-04T10:44:59.5577242Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:59.5578186Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:44:59.5578788Z Finished cpp/cuda_half_test 1/1 ... [2025-12-04 10:44:59.557683][5661.7042226], took 0.00min 2025-12-04T10:45:00.3158144Z Uploading artifacts took 0.70 seconds 2025-12-04T10:45:02.1268507Z W1204 10:45:02.126000 89042 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:02.1463629Z W1204 10:45:02.145000 89043 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:02.1690210Z W1204 10:45:02.168000 89041 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:03.6156722Z Running cpp/cuda_half_test 1/1 ... [2025-12-04 10:45:03.615227][5665.761759361] 2025-12-04T10:45:03.6157421Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:03.6157860Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:45:03.6158488Z Finished cpp/cuda_half_test 1/1 ... [2025-12-04 10:45:03.615488][5665.762021629], took 0.00min 2025-12-04T10:45:04.5795879Z Running test batch 'tests to run' cost 5.02 seconds 2025-12-04T10:45:05.5238823Z + run_if_exists cuda_vectorized_test 2025-12-04T10:45:05.5239252Z + local test_name=cuda_vectorized_test 2025-12-04T10:45:05.5239621Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-12-04T10:45:05.5240130Z + python test/run_test.py --cpp --verbose -i cpp/cuda_vectorized_test 2025-12-04T10:45:07.2894985Z W1204 10:45:07.288000 89095 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:11.1541821Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:45:11.1654802Z Found test times from artifacts 2025-12-04T10:45:11.2055991Z Found test times from artifacts 2025-12-04T10:45:11.2068561Z Running all tests 2025-12-04T10:45:11.2072515Z Running parallel tests on 3 processes 2025-12-04T10:45:11.2073347Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:45:11.2073708Z Serial tests (0): 2025-12-04T10:45:11.2073972Z Parallel tests (1): 2025-12-04T10:45:11.2074255Z cpp/cuda_vectorized_test 1/1 2025-12-04T10:45:11.2074860Z Name: excluded (est. time: 0.0min) 2025-12-04T10:45:11.2075295Z Serial tests (0): 2025-12-04T10:45:11.2075552Z Parallel tests (0): 2025-12-04T10:45:11.2076027Z Running cpp/cuda_vectorized_test 1/1 ... [2025-12-04 10:45:11.207373][5673.353911154] 2025-12-04T10:45:11.2076936Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:11.2077508Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:45:11.2078154Z Finished cpp/cuda_vectorized_test 1/1 ... [2025-12-04 10:45:11.207573][5673.354113056], took 0.00min 2025-12-04T10:45:12.0652259Z Uploading artifacts took 0.80 seconds 2025-12-04T10:45:13.8305828Z W1204 10:45:13.829000 89121 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:13.8862372Z W1204 10:45:13.885000 89119 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:13.9108252Z W1204 10:45:13.910000 89120 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:15.3023496Z Running cpp/cuda_vectorized_test 1/1 ... [2025-12-04 10:45:15.301882][5677.448415744] 2025-12-04T10:45:15.3024082Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:15.3024517Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:45:15.3025168Z Finished cpp/cuda_vectorized_test 1/1 ... [2025-12-04 10:45:15.302090][5677.448630007], took 0.00min 2025-12-04T10:45:16.3300510Z Running test batch 'tests to run' cost 5.12 seconds 2025-12-04T10:45:17.2729246Z + run_if_exists cuda_distributions_test 2025-12-04T10:45:17.2729683Z + local test_name=cuda_distributions_test 2025-12-04T10:45:17.2730085Z + [[ -x build/bin/cuda_distributions_test ]] 2025-12-04T10:45:17.2730571Z + python test/run_test.py --cpp --verbose -i cpp/cuda_distributions_test 2025-12-04T10:45:19.0191077Z W1204 10:45:19.018000 89173 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:22.8584191Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:45:22.8702749Z Found test times from artifacts 2025-12-04T10:45:22.9133176Z Found test times from artifacts 2025-12-04T10:45:22.9147856Z Running all tests 2025-12-04T10:45:22.9153227Z Running parallel tests on 3 processes 2025-12-04T10:45:22.9153717Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:45:22.9154030Z Serial tests (0): 2025-12-04T10:45:22.9154283Z Parallel tests (1): 2025-12-04T10:45:22.9154562Z cpp/cuda_distributions_test 1/1 2025-12-04T10:45:22.9154878Z Name: excluded (est. time: 0.0min) 2025-12-04T10:45:22.9155284Z Serial tests (0): 2025-12-04T10:45:22.9155583Z Parallel tests (0): 2025-12-04T10:45:22.9156104Z Running cpp/cuda_distributions_test 1/1 ... [2025-12-04 10:45:22.915389][5685.061927164] 2025-12-04T10:45:22.9156642Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:22.9157365Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:45:22.9158126Z Finished cpp/cuda_distributions_test 1/1 ... [2025-12-04 10:45:22.915595][5685.062135292], took 0.00min 2025-12-04T10:45:23.5193555Z Uploading artifacts took 0.55 seconds 2025-12-04T10:45:25.2940642Z W1204 10:45:25.293000 89198 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:25.3277136Z W1204 10:45:25.327000 89199 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:25.3711419Z W1204 10:45:25.370000 89197 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:26.7458225Z Running cpp/cuda_distributions_test 1/1 ... [2025-12-04 10:45:26.745401][5688.891933192] 2025-12-04T10:45:26.7458809Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:26.7459240Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:45:26.7459896Z Finished cpp/cuda_distributions_test 1/1 ... [2025-12-04 10:45:26.745602][5688.892141055], took 0.00min 2025-12-04T10:45:27.8003284Z Running test batch 'tests to run' cost 4.88 seconds 2025-12-04T10:45:28.8453894Z + run_if_exists cuda_optional_test 2025-12-04T10:45:28.8454354Z + local test_name=cuda_optional_test 2025-12-04T10:45:28.8454700Z + [[ -x build/bin/cuda_optional_test ]] 2025-12-04T10:45:28.8455160Z + python test/run_test.py --cpp --verbose -i cpp/cuda_optional_test 2025-12-04T10:45:30.5851927Z W1204 10:45:30.584000 89251 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:34.4292418Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:45:34.4400792Z Found test times from artifacts 2025-12-04T10:45:34.4828802Z Found test times from artifacts 2025-12-04T10:45:34.4848394Z Running all tests 2025-12-04T10:45:34.4854106Z Running parallel tests on 3 processes 2025-12-04T10:45:34.4855398Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:45:34.4855851Z Serial tests (0): 2025-12-04T10:45:34.4856118Z Parallel tests (1): 2025-12-04T10:45:34.4856393Z cpp/cuda_optional_test 1/1 2025-12-04T10:45:34.4856901Z Name: excluded (est. time: 0.0min) 2025-12-04T10:45:34.4857277Z Serial tests (0): 2025-12-04T10:45:34.4857524Z Parallel tests (0): 2025-12-04T10:45:34.4857974Z Running cpp/cuda_optional_test 1/1 ... [2025-12-04 10:45:34.485578][5696.632114887] 2025-12-04T10:45:34.4858483Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:34.4859655Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:45:34.4860305Z Finished cpp/cuda_optional_test 1/1 ... [2025-12-04 10:45:34.485775][5696.632315578], took 0.00min 2025-12-04T10:45:35.1612239Z Uploading artifacts took 0.62 seconds 2025-12-04T10:45:36.9305036Z W1204 10:45:36.929000 89277 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:36.9603582Z W1204 10:45:36.959000 89276 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:36.9663686Z W1204 10:45:36.965000 89275 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:38.3906382Z Running cpp/cuda_optional_test 1/1 ... [2025-12-04 10:45:38.390189][5700.536722947] 2025-12-04T10:45:38.3906945Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:38.3907386Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:45:38.3908005Z Finished cpp/cuda_optional_test 1/1 ... [2025-12-04 10:45:38.390442][5700.536978976], took 0.00min 2025-12-04T10:45:39.5152262Z Running test batch 'tests to run' cost 5.03 seconds 2025-12-04T10:45:40.4993692Z + run_if_exists cuda_tensor_interop_test 2025-12-04T10:45:40.4994169Z + local test_name=cuda_tensor_interop_test 2025-12-04T10:45:40.4994562Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-12-04T10:45:40.4995012Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-12-04T10:45:40.4995485Z Warning: cuda_tensor_interop_test does not exist. 2025-12-04T10:45:40.4995870Z + run_if_exists cuda_complex_test 2025-12-04T10:45:40.5003860Z + local test_name=cuda_complex_test 2025-12-04T10:45:40.5004276Z + [[ -x build/bin/cuda_complex_test ]] 2025-12-04T10:45:40.5004739Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_test 2025-12-04T10:45:42.2225446Z W1204 10:45:42.221000 89329 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:46.0832495Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:45:46.0937611Z Found test times from artifacts 2025-12-04T10:45:46.1346607Z Found test times from artifacts 2025-12-04T10:45:46.1360830Z Running all tests 2025-12-04T10:45:46.1364687Z Running parallel tests on 3 processes 2025-12-04T10:45:46.1365135Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:45:46.1365507Z Serial tests (0): 2025-12-04T10:45:46.1365751Z Parallel tests (1): 2025-12-04T10:45:46.1366028Z cpp/cuda_complex_test 1/1 2025-12-04T10:45:46.1366337Z Name: excluded (est. time: 0.0min) 2025-12-04T10:45:46.1366631Z Serial tests (0): 2025-12-04T10:45:46.1366957Z Parallel tests (0): 2025-12-04T10:45:46.1367717Z Running cpp/cuda_complex_test 1/1 ... [2025-12-04 10:45:46.136581][5708.283118757] 2025-12-04T10:45:46.1368223Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:46.1369190Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:45:46.1369885Z Finished cpp/cuda_complex_test 1/1 ... [2025-12-04 10:45:46.136795][5708.283328401], took 0.00min 2025-12-04T10:45:46.8446450Z Uploading artifacts took 0.65 seconds 2025-12-04T10:45:48.6401547Z W1204 10:45:48.639000 89353 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:48.6554619Z W1204 10:45:48.654000 89355 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:48.6558211Z W1204 10:45:48.655000 89354 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:50.1770874Z Running cpp/cuda_complex_test 1/1 ... [2025-12-04 10:45:50.176553][5712.323086368] 2025-12-04T10:45:50.1771455Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:50.1771882Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:45:50.1772524Z Finished cpp/cuda_complex_test 1/1 ... [2025-12-04 10:45:50.176800][5712.323338042], took 0.00min 2025-12-04T10:45:51.2500445Z Running test batch 'tests to run' cost 5.11 seconds 2025-12-04T10:45:52.2483022Z + run_if_exists cuda_complex_math_test 2025-12-04T10:45:52.2483466Z + local test_name=cuda_complex_math_test 2025-12-04T10:45:52.2483937Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-12-04T10:45:52.2484443Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_math_test 2025-12-04T10:45:53.9515087Z W1204 10:45:53.950000 89407 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:45:57.8133735Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:45:57.8238736Z Found test times from artifacts 2025-12-04T10:45:57.8646969Z Found test times from artifacts 2025-12-04T10:45:57.8660703Z Running all tests 2025-12-04T10:45:57.8664295Z Running parallel tests on 3 processes 2025-12-04T10:45:57.8665748Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:45:57.8666073Z Serial tests (0): 2025-12-04T10:45:57.8666368Z Parallel tests (1): 2025-12-04T10:45:57.8666774Z cpp/cuda_complex_math_test 1/1 2025-12-04T10:45:57.8667226Z Name: excluded (est. time: 0.0min) 2025-12-04T10:45:57.8667837Z Serial tests (0): 2025-12-04T10:45:57.8668153Z Parallel tests (0): 2025-12-04T10:45:57.8668625Z Running cpp/cuda_complex_math_test 1/1 ... [2025-12-04 10:45:57.866522][5720.013059101] 2025-12-04T10:45:57.8669132Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:57.8669552Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:45:57.8670197Z Finished cpp/cuda_complex_math_test 1/1 ... [2025-12-04 10:45:57.866685][5720.01322545], took 0.00min 2025-12-04T10:45:58.4438979Z Uploading artifacts took 0.52 seconds 2025-12-04T10:46:00.2326256Z W1204 10:46:00.231000 89432 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:46:00.2335169Z W1204 10:46:00.232000 89431 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:46:00.2769020Z W1204 10:46:00.276000 89433 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:46:01.8130796Z Running cpp/cuda_complex_math_test 1/1 ... [2025-12-04 10:46:01.812568][5723.959100743] 2025-12-04T10:46:01.8131920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:01.8132801Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:46:01.8134101Z Finished cpp/cuda_complex_math_test 1/1 ... [2025-12-04 10:46:01.812771][5723.959310913], took 0.00min 2025-12-04T10:46:02.8805475Z Running test batch 'tests to run' cost 5.01 seconds 2025-12-04T10:46:03.7989899Z + run_if_exists cuda_cub_test 2025-12-04T10:46:03.7990301Z + local test_name=cuda_cub_test 2025-12-04T10:46:03.7990628Z + [[ -x build/bin/cuda_cub_test ]] 2025-12-04T10:46:03.7991066Z + python test/run_test.py --cpp --verbose -i cpp/cuda_cub_test 2025-12-04T10:46:05.5056058Z W1204 10:46:05.504000 89485 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:46:09.4188205Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:46:09.4292947Z Found test times from artifacts 2025-12-04T10:46:09.4701017Z Found test times from artifacts 2025-12-04T10:46:09.4715133Z Running all tests 2025-12-04T10:46:09.4718908Z Running parallel tests on 3 processes 2025-12-04T10:46:09.4719410Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:46:09.4719742Z Serial tests (0): 2025-12-04T10:46:09.4720013Z Parallel tests (1): 2025-12-04T10:46:09.4720283Z cpp/cuda_cub_test 1/1 2025-12-04T10:46:09.4720675Z Name: excluded (est. time: 0.0min) 2025-12-04T10:46:09.4720985Z Serial tests (0): 2025-12-04T10:46:09.4721256Z Parallel tests (0): 2025-12-04T10:46:09.4721665Z Running cpp/cuda_cub_test 1/1 ... [2025-12-04 10:46:09.471998][5731.618535451] 2025-12-04T10:46:09.4722219Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:09.4723740Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:46:09.4724360Z Finished cpp/cuda_cub_test 1/1 ... [2025-12-04 10:46:09.472202][5731.618741766], took 0.00min 2025-12-04T10:46:10.0705164Z Uploading artifacts took 0.54 seconds 2025-12-04T10:46:11.8797218Z W1204 10:46:11.878000 89509 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:46:11.8799227Z W1204 10:46:11.878000 89511 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:46:11.9431874Z W1204 10:46:11.942000 89510 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:46:13.4447444Z Running cpp/cuda_cub_test 1/1 ... [2025-12-04 10:46:13.444260][5735.590792309] 2025-12-04T10:46:13.4447997Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:13.4448418Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:46:13.4449026Z Finished cpp/cuda_cub_test 1/1 ... [2025-12-04 10:46:13.444495][5735.591033663], took 0.00min 2025-12-04T10:46:14.4016179Z Running test batch 'tests to run' cost 4.93 seconds 2025-12-04T10:46:15.3441566Z + run_if_exists cuda_atomic_ops_test 2025-12-04T10:46:15.3442106Z + local test_name=cuda_atomic_ops_test 2025-12-04T10:46:15.3442577Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-12-04T10:46:15.3443056Z + python test/run_test.py --cpp --verbose -i cpp/cuda_atomic_ops_test 2025-12-04T10:46:17.1356160Z W1204 10:46:17.134000 89563 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:46:20.9813329Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:46:20.9919457Z Found test times from artifacts 2025-12-04T10:46:21.0343581Z Found test times from artifacts 2025-12-04T10:46:21.0358393Z Running all tests 2025-12-04T10:46:21.0362819Z Running parallel tests on 3 processes 2025-12-04T10:46:21.0363239Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:46:21.0363568Z Serial tests (0): 2025-12-04T10:46:21.0363892Z Parallel tests (1): 2025-12-04T10:46:21.0364197Z cpp/cuda_atomic_ops_test 1/1 2025-12-04T10:46:21.0364523Z Name: excluded (est. time: 0.0min) 2025-12-04T10:46:21.0364822Z Serial tests (0): 2025-12-04T10:46:21.0365084Z Parallel tests (0): 2025-12-04T10:46:21.0365991Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 10:46:21.036392][5743.182929745] 2025-12-04T10:46:21.0366500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:21.0367467Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:46:21.0368114Z Finished cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 10:46:21.036607][5743.183145348], took 0.00min 2025-12-04T10:46:21.7371165Z Uploading artifacts took 0.64 seconds 2025-12-04T10:46:23.5625349Z W1204 10:46:23.561000 89588 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:46:23.5916734Z W1204 10:46:23.590000 89589 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:46:23.6175954Z W1204 10:46:23.616000 89587 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:46:25.0527271Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 10:46:25.052233][5747.198765035] 2025-12-04T10:46:25.0528099Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:25.0528622Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:46:25.0529736Z Finished cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 10:46:25.052447][5747.198986318], took 0.00min 2025-12-04T10:46:26.0070604Z Running test batch 'tests to run' cost 4.97 seconds 2025-12-04T10:46:26.9973500Z + run_if_exists cuda_allocator_test 2025-12-04T10:46:26.9973928Z + local test_name=cuda_allocator_test 2025-12-04T10:46:26.9974279Z + [[ -x build/bin/cuda_allocator_test ]] 2025-12-04T10:46:26.9974748Z + python test/run_test.py --cpp --verbose -i cpp/cuda_allocator_test 2025-12-04T10:46:28.7827698Z W1204 10:46:28.781000 89641 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:46:32.5760003Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:46:32.5867958Z Found test times from artifacts 2025-12-04T10:46:32.6290576Z Found test times from artifacts 2025-12-04T10:46:32.6304656Z Running all tests 2025-12-04T10:46:32.6309303Z Running parallel tests on 3 processes 2025-12-04T10:46:32.6309819Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:46:32.6310177Z Serial tests (0): 2025-12-04T10:46:32.6310434Z Parallel tests (1): 2025-12-04T10:46:32.6310699Z cpp/cuda_allocator_test 1/1 2025-12-04T10:46:32.6311011Z Name: excluded (est. time: 0.0min) 2025-12-04T10:46:32.6311457Z Serial tests (0): 2025-12-04T10:46:32.6311723Z Parallel tests (0): 2025-12-04T10:46:32.6312317Z Running cpp/cuda_allocator_test 1/1 ... [2025-12-04 10:46:32.630979][5754.777516764] 2025-12-04T10:46:32.6312989Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:32.6313417Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:46:32.6314220Z Finished cpp/cuda_allocator_test 1/1 ... [2025-12-04 10:46:32.631156][5754.77769638], took 0.00min 2025-12-04T10:46:33.1855294Z Uploading artifacts took 0.50 seconds 2025-12-04T10:46:34.9650471Z W1204 10:46:34.964000 89665 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:46:34.9865074Z W1204 10:46:34.985000 89667 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:46:35.0122148Z W1204 10:46:35.011000 89666 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:46:36.4537417Z Running cpp/cuda_allocator_test 1/1 ... [2025-12-04 10:46:36.453241][5758.599775179] 2025-12-04T10:46:36.4538177Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:36.4538926Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:46:36.4539561Z Finished cpp/cuda_allocator_test 1/1 ... [2025-12-04 10:46:36.453492][5758.600026052], took 0.00min 2025-12-04T10:46:37.4777398Z Running test batch 'tests to run' cost 4.85 seconds 2025-12-04T10:46:38.4877782Z + '[' ON == ON ']' 2025-12-04T10:46:38.4878611Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2025-12-04T10:46:38.5211150Z ==89719== Memcheck, a memory error detector 2025-12-04T10:46:38.5211713Z ==89719== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2025-12-04T10:46:38.5212329Z ==89719== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2025-12-04T10:46:38.5212853Z ==89719== Command: build/bin/basic --gtest_filter=-*CUDA 2025-12-04T10:46:38.5213231Z ==89719== 2025-12-04T10:46:38.9075038Z ==89719== Warning: set address range perms: large range [0x4a9b000, 0x18f32000) (defined) 2025-12-04T10:46:38.9075944Z ==89719== Warning: set address range perms: large range [0x599f000, 0x160b8000) (defined) 2025-12-04T10:46:45.1938334Z ==89719== Warning: set address range perms: large range [0x2c52d000, 0x3e071000) (noaccess) 2025-12-04T10:46:45.1939235Z ==89719== Warning: set address range perms: large range [0x2c600000, 0x3df44000) (defined) 2025-12-04T10:46:45.2406805Z ==89719== Warning: set address range perms: large range [0x2d61d000, 0x3df44000) (defined) 2025-12-04T10:46:45.7393860Z ==89719== Warning: set address range perms: large range [0x65bcf000, 0x8bc50000) (noaccess) 2025-12-04T10:46:45.7394676Z ==89719== Warning: set address range perms: large range [0x65c00000, 0x8ba81000) (defined) 2025-12-04T10:47:48.5484881Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2025-12-04T10:47:48.5814252Z Note: Google Test filter = -*CUDA 2025-12-04T10:47:48.5896209Z [==========] Running 6 tests from 1 test suite. 2025-12-04T10:47:48.5914684Z [----------] Global test environment set-up. 2025-12-04T10:47:48.5983483Z [----------] 6 tests from BasicTest 2025-12-04T10:47:48.6010951Z [ RUN ] BasicTest.BasicTestCPU 2025-12-04T10:47:50.2688584Z 950 ms 2025-12-04T10:47:50.5294007Z 60 ms 2025-12-04T10:47:50.6763329Z 70 ms 2025-12-04T10:47:53.8358558Z [ OK ] BasicTest.BasicTestCPU (5232 ms) 2025-12-04T10:47:53.8367216Z [ RUN ] BasicTest.BasicTestHalfCPU 2025-12-04T10:47:54.4556931Z 443 ms 2025-12-04T10:47:54.6348712Z 50 ms 2025-12-04T10:47:54.7167932Z 70 ms 2025-12-04T10:47:54.8388166Z [ OK ] BasicTest.BasicTestHalfCPU (908 ms) 2025-12-04T10:47:54.8739222Z [ RUN ] BasicTest.FactoryMethodsTest 2025-12-04T10:47:54.9662939Z [ OK ] BasicTest.FactoryMethodsTest (44 ms) 2025-12-04T10:47:54.9676484Z [ RUN ] BasicTest.BasicStdTestCPU 2025-12-04T10:47:55.1387553Z Simple example: called once 2025-12-04T10:47:55.1546769Z Didn't throw, call_once will not attempt again 2025-12-04T10:47:55.2054764Z [ OK ] BasicTest.BasicStdTestCPU (237 ms) 2025-12-04T10:47:55.2056441Z [ RUN ] BasicTest.TestForBlobResizeCPU 2025-12-04T10:47:55.2299973Z [ OK ] BasicTest.TestForBlobResizeCPU (24 ms) 2025-12-04T10:47:55.2302334Z [ RUN ] BasicTest.TestForBlobStridesResizeCPU 2025-12-04T10:47:55.2360770Z [ OK ] BasicTest.TestForBlobStridesResizeCPU (5 ms) 2025-12-04T10:47:55.2384039Z [----------] 6 tests from BasicTest (6636 ms total) 2025-12-04T10:47:55.2384329Z 2025-12-04T10:47:55.2399334Z [----------] Global test environment tear-down 2025-12-04T10:47:55.2428762Z [==========] 6 tests from 1 test suite ran. (6665 ms total) 2025-12-04T10:47:55.2444616Z [ PASSED ] 6 tests. 2025-12-04T10:47:58.3737684Z ==89719== 2025-12-04T10:47:58.3746987Z ==89719== HEAP SUMMARY: 2025-12-04T10:47:58.3747377Z ==89719== in use at exit: 1,022,944 bytes in 6,494 blocks 2025-12-04T10:47:58.3747912Z ==89719== total heap usage: 901,221 allocs, 894,727 frees, 224,413,745 bytes allocated 2025-12-04T10:47:58.3748392Z ==89719== 2025-12-04T10:48:01.5318635Z ==89719== LEAK SUMMARY: 2025-12-04T10:48:01.5319268Z ==89719== definitely lost: 0 bytes in 0 blocks 2025-12-04T10:48:01.5319986Z ==89719== indirectly lost: 0 bytes in 0 blocks 2025-12-04T10:48:01.5320704Z ==89719== possibly lost: 74,176 bytes in 9 blocks 2025-12-04T10:48:01.5321461Z ==89719== still reachable: 948,768 bytes in 6,485 blocks 2025-12-04T10:48:01.5322198Z ==89719== suppressed: 0 bytes in 0 blocks 2025-12-04T10:48:01.5323042Z ==89719== Rerun with --leak-check=full to see details of leaked memory 2025-12-04T10:48:01.5323893Z ==89719== 2025-12-04T10:48:01.5324448Z ==89719== For lists of detected and suppressed errors, rerun with: -s 2025-12-04T10:48:01.5325459Z ==89719== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2025-12-04T10:48:01.6482969Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T10:48:01.6485250Z + [[ -n '' ]] 2025-12-04T10:48:01.6485493Z + assert_git_not_dirty 2025-12-04T10:48:01.6485856Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 != *rocm* ]] 2025-12-04T10:48:01.6486290Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 != *xla* ]] 2025-12-04T10:48:01.6493671Z ++ git status --porcelain 2025-12-04T10:48:01.6495505Z ++ grep -v '?? third_party' 2025-12-04T10:48:01.9721353Z ++ true 2025-12-04T10:48:01.9723537Z + git_status= 2025-12-04T10:48:01.9723890Z + [[ -n '' ]] 2025-12-04T10:48:01.9724552Z + test_libtorch 1 2025-12-04T10:48:01.9730146Z + local SHARD=1 2025-12-04T10:48:01.9730418Z + [[ nogpu_NO_AVX2 != \s\l\o\w ]] 2025-12-04T10:48:01.9730755Z + echo 'Testing libtorch' 2025-12-04T10:48:01.9731066Z Testing libtorch 2025-12-04T10:48:01.9731887Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T10:48:01.9759277Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T10:48:01.9773285Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T10:48:01.9787937Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T10:48:01.9802868Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm_windows /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T10:48:01.9818904Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_nvshmem.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T10:48:01.9832083Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T10:48:01.9846101Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T10:48:01.9846795Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T10:48:01.9847257Z + [[ -z 1 ]] 2025-12-04T10:48:01.9847480Z + [[ 1 == \1 ]] 2025-12-04T10:48:01.9847746Z + test_libtorch_api 2025-12-04T10:48:01.9851371Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T10:48:01.9851984Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T10:48:02.0356386Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ... 2025-12-04T10:48:02.4058691Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ... 2025-12-04T10:48:02.4550488Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ... 2025-12-04T10:48:02.7743466Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ... 2025-12-04T10:48:02.8376870Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *asan* ]] 2025-12-04T10:48:02.8377712Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *slow-gradcheck* ]] 2025-12-04T10:48:02.8378376Z + OMP_NUM_THREADS=2 2025-12-04T10:48:02.8379049Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T10:48:02.8380044Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest' 2025-12-04T10:48:04.5364749Z W1204 10:48:04.535000 89893 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:48:08.1927252Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:48:08.2032106Z Found test times from artifacts 2025-12-04T10:48:08.2448406Z Found test times from artifacts 2025-12-04T10:48:08.2463662Z Running all tests 2025-12-04T10:48:08.2467991Z Running parallel tests on 3 processes 2025-12-04T10:48:08.2468476Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:48:08.2468785Z Serial tests (0): 2025-12-04T10:48:08.2469055Z Parallel tests (1): 2025-12-04T10:48:08.2469321Z cpp/test_api 1/1 2025-12-04T10:48:08.2469588Z Name: excluded (est. time: 0.0min) 2025-12-04T10:48:08.2470089Z Serial tests (0): 2025-12-04T10:48:08.2470471Z Parallel tests (0): 2025-12-04T10:48:08.2475450Z Running cpp/test_api 1/1 ... [2025-12-04 10:48:08.247344][5850.393879569] 2025-12-04T10:48:08.2475895Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:48:08.2476931Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:48:08.2477512Z Finished cpp/test_api 1/1 ... [2025-12-04 10:48:08.247558][5850.394097369], took 0.00min 2025-12-04T10:48:08.8637438Z Uploading artifacts took 0.56 seconds 2025-12-04T10:48:10.6542776Z W1204 10:48:10.653000 89903 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:48:10.6543954Z W1204 10:48:10.653000 89905 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:48:10.6760913Z W1204 10:48:10.675000 89904 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:48:12.1401172Z Running cpp/test_api 1/1 ... [2025-12-04 10:48:12.139659][5854.286193052] 2025-12-04T10:48:12.1401662Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:48:12.1402093Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:48:12.1402671Z Finished cpp/test_api 1/1 ... [2025-12-04 10:48:12.139860][5854.286400105], took 0.00min 2025-12-04T10:48:13.0950259Z Running test batch 'tests to run' cost 4.85 seconds 2025-12-04T10:48:14.0620100Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 != *android* ]] 2025-12-04T10:48:14.0620612Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 != *cuda* ]] 2025-12-04T10:48:14.0621263Z + [[ -z 1 ]] 2025-12-04T10:48:14.0621490Z + [[ 1 == \2 ]] 2025-12-04T10:48:14.0621718Z + assert_git_not_dirty 2025-12-04T10:48:14.0622041Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 != *rocm* ]] 2025-12-04T10:48:14.0622456Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 != *xla* ]] 2025-12-04T10:48:14.0627161Z ++ git status --porcelain 2025-12-04T10:48:14.0627858Z ++ grep -v '?? third_party' 2025-12-04T10:48:14.3815176Z ++ true 2025-12-04T10:48:14.3815664Z + git_status= 2025-12-04T10:48:14.3815965Z + [[ -n '' ]] 2025-12-04T10:48:14.3816846Z + [[ linux-jammy-cuda13.0-py3.10-gcc11 == *xpu* ]] 2025-12-04T10:48:14.3860697Z + sccache_epilogue 2025-12-04T10:48:14.3861087Z + echo '::group::Sccache Compilation Log' 2025-12-04T10:48:14.3867392Z ##[group]Sccache Compilation Log 2025-12-04T10:48:14.3867789Z + echo '=================== sccache compilation log ===================' 2025-12-04T10:48:14.3868247Z =================== sccache compilation log =================== 2025-12-04T10:48:14.3868951Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T10:48:14.4025981Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T10:48:14.4026754Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T10:48:14.4027304Z + sccache --show-stats 2025-12-04T10:48:14.4168927Z Compile requests 2879 2025-12-04T10:48:14.4169301Z Compile requests executed 65 2025-12-04T10:48:14.4169650Z Cache hits 22 2025-12-04T10:48:14.4169988Z Cache hits (C/C++) 22 2025-12-04T10:48:14.4170328Z Cache misses 43 2025-12-04T10:48:14.4170667Z Cache misses (C/C++) 43 2025-12-04T10:48:14.4171008Z Cache hits rate 33.85 % 2025-12-04T10:48:14.4171362Z Cache hits rate (C/C++) 33.85 % 2025-12-04T10:48:14.4171698Z Cache timeouts 0 2025-12-04T10:48:14.4172032Z Cache read errors 0 2025-12-04T10:48:14.4172365Z Forced recaches 0 2025-12-04T10:48:14.4172691Z Cache write errors 0 2025-12-04T10:48:14.4173025Z Cache errors 0 2025-12-04T10:48:14.4173348Z Compilations 43 2025-12-04T10:48:14.4174190Z Compilation failures 0 2025-12-04T10:48:14.4174532Z Non-cacheable compilations 0 2025-12-04T10:48:14.4174886Z Non-cacheable calls 2 2025-12-04T10:48:14.4175235Z Non-compilation calls 2812 2025-12-04T10:48:14.4175579Z Unsupported compiler calls 0 2025-12-04T10:48:14.4175935Z Average cache write 0.043 s 2025-12-04T10:48:14.4176287Z Average compiler 15.408 s 2025-12-04T10:48:14.4176618Z Average cache read hit 0.095 s 2025-12-04T10:48:14.4176976Z Failed distributed compilations 0 2025-12-04T10:48:14.4177222Z 2025-12-04T10:48:14.4177338Z Non-cacheable reasons: 2025-12-04T10:48:14.4177613Z -E 2 2025-12-04T10:48:14.4177837Z 2025-12-04T10:48:14.4178080Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T10:48:14.4178574Z Version (client) 0.10.0 2025-12-04T10:48:14.4178919Z + sccache --stop-server 2025-12-04T10:48:14.4204197Z Stopping sccache server... 2025-12-04T10:48:14.4208979Z Compile requests 2879 2025-12-04T10:48:14.4209338Z Compile requests executed 65 2025-12-04T10:48:14.4209698Z Cache hits 22 2025-12-04T10:48:14.4210015Z Cache hits (C/C++) 22 2025-12-04T10:48:14.4210340Z Cache misses 43 2025-12-04T10:48:14.4210666Z Cache misses (C/C++) 43 2025-12-04T10:48:14.4210988Z Cache hits rate 33.85 % 2025-12-04T10:48:14.4211534Z Cache hits rate (C/C++) 33.85 % 2025-12-04T10:48:14.4211883Z Cache timeouts 0 2025-12-04T10:48:14.4212212Z Cache read errors 0 2025-12-04T10:48:14.4212554Z Forced recaches 0 2025-12-04T10:48:14.4212901Z Cache write errors 0 2025-12-04T10:48:14.4213234Z Cache errors 0 2025-12-04T10:48:14.4213553Z Compilations 43 2025-12-04T10:48:14.4213922Z Compilation failures 0 2025-12-04T10:48:14.4214288Z Non-cacheable compilations 0 2025-12-04T10:48:14.4214710Z Non-cacheable calls 2 2025-12-04T10:48:14.4215090Z Non-compilation calls 2812 2025-12-04T10:48:14.4215441Z Unsupported compiler calls 0 2025-12-04T10:48:14.4215781Z Average cache write 0.043 s 2025-12-04T10:48:14.4216129Z Average compiler 15.408 s 2025-12-04T10:48:14.4216477Z Average cache read hit 0.095 s 2025-12-04T10:48:14.4216842Z Failed distributed compilations 0 2025-12-04T10:48:14.4217075Z 2025-12-04T10:48:14.4217173Z Non-cacheable reasons: 2025-12-04T10:48:14.4217451Z -E 2 2025-12-04T10:48:14.4217660Z 2025-12-04T10:48:14.4217912Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T10:48:14.4218376Z Version (client) 0.10.0 2025-12-04T10:48:14.4218759Z + echo ::endgroup:: 2025-12-04T10:48:14.4219406Z ##[endgroup] 2025-12-04T10:48:14.4219641Z + cleanup_workspace 2025-12-04T10:48:14.4220178Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T10:48:14.4221010Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T10:48:14.4221686Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T10:48:14.4222186Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T10:48:14.4222765Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T10:48:14.4223398Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T10:48:14.4223900Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T10:48:17.7182870Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T10:48:17.7183403Z with: 2025-12-04T10:48:17.7183757Z benchmark-results-dir: test/test-reports 2025-12-04T10:48:17.7184106Z dry-run: false 2025-12-04T10:48:17.7184362Z schema-version: v3 2025-12-04T10:48:17.7190060Z github-token: *** 2025-12-04T10:48:17.7190302Z env: 2025-12-04T10:48:17.7190533Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:17.7190825Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:17.7191311Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:17.7191862Z ##[endgroup] 2025-12-04T10:48:17.7266532Z ##[group]Run set -eux 2025-12-04T10:48:17.7266865Z set -eux 2025-12-04T10:48:17.7267102Z  2025-12-04T10:48:17.7267329Z if [[ -n "" ]]; then 2025-12-04T10:48:17.7267601Z  source "" 2025-12-04T10:48:17.7267845Z fi 2025-12-04T10:48:17.7268261Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T10:48:17.7268714Z  2025-12-04T10:48:17.7268935Z DEVICE_NAME="" 2025-12-04T10:48:17.7269218Z DEVICE_TYPE="" 2025-12-04T10:48:17.7269466Z  2025-12-04T10:48:17.7269709Z if command -v nvidia-smi; then 2025-12-04T10:48:17.7270197Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T10:48:17.7270809Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T10:48:17.7271386Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T10:48:17.7271839Z  python3 -mpip install torch==2.7.1 2025-12-04T10:48:17.7272311Z elif command -v rocminfo; then 2025-12-04T10:48:17.7272767Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T10:48:17.7273366Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T10:48:17.7273970Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T10:48:17.7274498Z  # GPU device name coming from rocminfo instead 2025-12-04T10:48:17.7274870Z  DEVICE_NAME=rocm 2025-12-04T10:48:17.7275379Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T10:48:17.7275916Z fi 2025-12-04T10:48:17.7276119Z  2025-12-04T10:48:17.7276400Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T10:48:17.7276837Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T10:48:17.7483510Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:48:17.7484013Z env: 2025-12-04T10:48:17.7484250Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:17.7484522Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:17.7485015Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:17.7485567Z ##[endgroup] 2025-12-04T10:48:17.7584846Z + [[ -n '' ]] 2025-12-04T10:48:17.7585212Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T10:48:18.5356026Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T10:48:19.7537964Z Collecting boto3==1.35.33 2025-12-04T10:48:19.7701411Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T10:48:20.1745762Z Collecting psutil==7.0.0 2025-12-04T10:48:20.1781606Z 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) 2025-12-04T10:48:20.2159664Z Collecting pynvml==12.0.0 2025-12-04T10:48:20.2192613Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T10:48:21.5344406Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T10:48:21.5382683Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T10:48:21.7343984Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T10:48:21.7378874Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T10:48:21.7426801Z 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) 2025-12-04T10:48:21.7892868Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T10:48:21.7927289Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T10:48:21.8022271Z 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) 2025-12-04T10:48:21.8034299Z 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) 2025-12-04T10:48:22.0591732Z 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) 2025-12-04T10:48:22.2628924Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T10:48:22.8213027Z Attempting uninstall: nvidia-ml-py 2025-12-04T10:48:22.8214500Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T10:48:22.8235757Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T10:48:22.8575899Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T10:48:22.9266613Z Attempting uninstall: psutil 2025-12-04T10:48:22.9267103Z Found existing installation: psutil 5.9.8 2025-12-04T10:48:22.9347445Z Uninstalling psutil-5.9.8: 2025-12-04T10:48:22.9361412Z Successfully uninstalled psutil-5.9.8 2025-12-04T10:48:23.1153994Z 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 2025-12-04T10:48:23.2728350Z + DEVICE_NAME= 2025-12-04T10:48:23.2728644Z + DEVICE_TYPE= 2025-12-04T10:48:23.2728897Z + command -v nvidia-smi 2025-12-04T10:48:23.2729167Z + command -v rocminfo 2025-12-04T10:48:23.2729426Z + echo DEVICE_NAME= 2025-12-04T10:48:23.2729673Z + echo DEVICE_TYPE= 2025-12-04T10:48:23.2763573Z ##[group]Run set -eux 2025-12-04T10:48:23.2763961Z set -eux 2025-12-04T10:48:23.2764202Z  2025-12-04T10:48:23.2764445Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T10:48:23.2764837Z  echo "Missing github-token input" 2025-12-04T10:48:23.2765179Z  exit 1 2025-12-04T10:48:23.2765402Z fi 2025-12-04T10:48:23.2773649Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:48:23.2774058Z env: 2025-12-04T10:48:23.2774294Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:23.2774567Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:23.2775055Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:23.2775614Z DEVICE_NAME: 2025-12-04T10:48:23.2775856Z DEVICE_TYPE: 2025-12-04T10:48:23.2776345Z GITHUB_TOKEN: *** 2025-12-04T10:48:23.2776597Z ##[endgroup] 2025-12-04T10:48:23.2811957Z + [[ -z *** ]] 2025-12-04T10:48:23.2863663Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T10:48:23.2864132Z with: 2025-12-04T10:48:23.2864547Z github-token: *** 2025-12-04T10:48:23.2864779Z env: 2025-12-04T10:48:23.2865013Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:23.2865304Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:23.2865779Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:23.2866321Z DEVICE_NAME: 2025-12-04T10:48:23.2866557Z DEVICE_TYPE: 2025-12-04T10:48:23.2866787Z ##[endgroup] 2025-12-04T10:48:23.2882101Z ##[group]Run set -eux 2025-12-04T10:48:23.2882392Z set -eux 2025-12-04T10:48:23.2882632Z  2025-12-04T10:48:23.2883149Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T10:48:23.2889576Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:48:23.2889983Z env: 2025-12-04T10:48:23.2890220Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:23.2890494Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:23.2891152Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:23.2891701Z DEVICE_NAME: 2025-12-04T10:48:23.2892007Z DEVICE_TYPE: 2025-12-04T10:48:23.2892411Z GITHUB_TOKEN: *** 2025-12-04T10:48:23.2892659Z ##[endgroup] 2025-12-04T10:48:23.2920249Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922826259 i-0092470dcfe31fb38 2025-12-04T10:48:26.2006894Z setting job-id=57117865638 2025-12-04T10:48:26.2007619Z setting job-name=linux-jammy-cuda13.0-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests) 2025-12-04T10:48:26.2162315Z ##[group]Run set -eux 2025-12-04T10:48:26.2162621Z set -eux 2025-12-04T10:48:26.2162845Z  2025-12-04T10:48:26.2163075Z if [[ -n "" ]]; then 2025-12-04T10:48:26.2163358Z  source "" 2025-12-04T10:48:26.2163591Z fi 2025-12-04T10:48:26.2163925Z  2025-12-04T10:48:26.2164335Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T10:48:26.2164906Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T10:48:26.2165262Z  --repo "${REPO}" \ 2025-12-04T10:48:26.2165583Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T10:48:26.2165931Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T10:48:26.2166273Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T10:48:26.2166656Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T10:48:26.2167010Z  --job-id "${JOB_ID}" \ 2025-12-04T10:48:26.2167318Z  --job-name "${JOB_NAME}" 2025-12-04T10:48:26.2174149Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:48:26.2174553Z env: 2025-12-04T10:48:26.2174786Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:26.2175055Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:26.2175555Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:26.2176092Z DEVICE_NAME: 2025-12-04T10:48:26.2176314Z DEVICE_TYPE: 2025-12-04T10:48:26.2176552Z SCHEMA_VERSION: v3 2025-12-04T10:48:26.2176826Z REPO: pytorch/pytorch 2025-12-04T10:48:26.2177085Z HEAD_BRANCH: refs/heads/main 2025-12-04T10:48:26.2177429Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T10:48:26.2177802Z WORKFLOW_RUN_ID: 19922826259 2025-12-04T10:48:26.2178071Z RUN_ATTEMPT: 1 2025-12-04T10:48:26.2178305Z JOB_ID: 57117865638 2025-12-04T10:48:26.2178843Z JOB_NAME: linux-jammy-cuda13.0-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests) 2025-12-04T10:48:26.2179449Z ##[endgroup] 2025-12-04T10:48:26.2208528Z + [[ -n '' ]] 2025-12-04T10:48:26.2211179Z + 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 19922826259 --run-attempt 1 --job-id 57117865638 --job-name 'linux-jammy-cuda13.0-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)' 2025-12-04T10:48:26.2568883Z ##[group]Run set -eux 2025-12-04T10:48:26.2569185Z set -eux 2025-12-04T10:48:26.2569425Z  2025-12-04T10:48:26.2569638Z if [[ -n "" ]]; then 2025-12-04T10:48:26.2569929Z  source "" 2025-12-04T10:48:26.2570181Z fi 2025-12-04T10:48:26.2570386Z  2025-12-04T10:48:26.2570800Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T10:48:26.2577258Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:48:26.2577684Z env: 2025-12-04T10:48:26.2577916Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:26.2578190Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:26.2578675Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:26.2579391Z DEVICE_NAME: 2025-12-04T10:48:26.2579634Z DEVICE_TYPE: 2025-12-04T10:48:26.2579857Z ##[endgroup] 2025-12-04T10:48:26.2608123Z + [[ -n '' ]] 2025-12-04T10:48:26.2608999Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T10:48:26.3060139Z INFO:root:Fail to import torch to get the device name 2025-12-04T10:48:26.3192946Z ##[group]Run set -eux 2025-12-04T10:48:26.3193219Z set -eux 2025-12-04T10:48:26.3193456Z  2025-12-04T10:48:26.3193964Z # TODO (huydhn): Implement this part 2025-12-04T10:48:26.3194376Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T10:48:26.3200836Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:48:26.3201249Z env: 2025-12-04T10:48:26.3201485Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:26.3201753Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:26.3202259Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:26.3202801Z DEVICE_NAME: 2025-12-04T10:48:26.3203022Z DEVICE_TYPE: 2025-12-04T10:48:26.3203258Z ##[endgroup] 2025-12-04T10:48:26.3230765Z + echo 'dependencies={}' 2025-12-04T10:48:26.3253367Z ##[group]Run set -eux 2025-12-04T10:48:26.3253659Z set -eux 2025-12-04T10:48:26.3253894Z  2025-12-04T10:48:26.3254121Z if [[ -n "" ]]; then 2025-12-04T10:48:26.3254398Z  source "" 2025-12-04T10:48:26.3254645Z fi 2025-12-04T10:48:26.3254867Z  2025-12-04T10:48:26.3255125Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T10:48:26.3255593Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T10:48:26.3256216Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T10:48:26.3256643Z  exit 0 2025-12-04T10:48:26.3256863Z fi 2025-12-04T10:48:26.3257086Z  2025-12-04T10:48:26.3257347Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T10:48:26.3257842Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T10:48:26.3258443Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T10:48:26.3258895Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T10:48:26.3259273Z  --runners "${RUNNER_INFO}" \ 2025-12-04T10:48:26.3259630Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T10:48:26.3259980Z  --dry-run 2025-12-04T10:48:26.3260245Z else 2025-12-04T10:48:26.3260632Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T10:48:26.3261226Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T10:48:26.3261676Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T10:48:26.3262044Z  --runners "${RUNNER_INFO}" \ 2025-12-04T10:48:26.3262393Z  --dependencies "${DEPENDENCIES}" 2025-12-04T10:48:26.3262725Z fi 2025-12-04T10:48:26.3268679Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:48:26.3269073Z env: 2025-12-04T10:48:26.3269302Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:26.3269583Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:26.3270055Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:26.3270594Z DEVICE_NAME: 2025-12-04T10:48:26.3270825Z DEVICE_TYPE: 2025-12-04T10:48:26.3271078Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T10:48:26.3271409Z DRY_RUN: false 2025-12-04T10:48:26.3273080Z BENCHMARK_METADATA: {"timestamp": 1764845306, "schema_version": "v3", "name": "linux-jammy-cuda13.0-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57117865638} 2025-12-04T10:48:26.3275052Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-40-33.ec2.internal"}, "name": "", "type": ""}] 2025-12-04T10:48:26.3275801Z DEPENDENCIES: {} 2025-12-04T10:48:26.3276034Z ##[endgroup] 2025-12-04T10:48:26.3302040Z + [[ -n '' ]] 2025-12-04T10:48:26.3302296Z + [[ ! -d test/test-reports ]] 2025-12-04T10:48:26.3302601Z + [[ false == \t\r\u\e ]] 2025-12-04T10:48:26.3305848Z + 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": 1764845306, "schema_version": "v3", "name": "linux-jammy-cuda13.0-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57117865638}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-40-33.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-12-04T10:48:26.5523656Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'lazy/test_ts_opinfo'}], 'excluded': []} from test/test-reports/td_exclusions-58d01082f0a33dbc6a56.json is not a benchmark record, skipping 2025-12-04T10:48:26.5525486Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:48:26.5615539Z /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': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_cuda_select_algorithm'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_deterministic'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'inductor/test_native_matmul'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'export/test_serdes'}, {'test_file': 'dynamo/test_regional_inductor'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'dynamo/test_streams'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'inductor/test_mix_order_reduction'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'dynamo/test_aot_compile'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_wrap_inductor_compiled_regions'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'inductor/test_custom_op_autotune'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'test_privateuseone_python_backend'}, {'test_file': 'inductor/test_collective_autotuning'}, {'test_file': 'test_varlen_attention'}, {'test_file': 'test_cuda'}, {'test_file': 'test_transformers'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'test_autograd'}, {'test_file': 'test_sparse'}, {'test_file': 'higher_order_ops/test_local_map'}, {'test_file': 'test_dataloader'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_decomp'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_meta'}, {'test_file': 'test_ops_jit'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'test_linalg'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_public_bindings'}, {'test_file': 'test_ops'}, {'test_file': 'functorch/test_dims'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'test_overrides'}, {'test_file': 'test_torchfuzz_repros'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'doctests'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'test_custom_ops'}, {'test_file': 'test_content_store'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'inductor/test_cutedsl_grouped_mm'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_template_heuristics_registry'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'test_testing'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'export/test_strict_export_v2'}, {'test_file': 'inductor/test_flex_flash'}, {'test_file': 'inductor/test_segmented_tree'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'inductor/test_selective_lowering'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'inductor/test_lookup_table'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'export/test_serialize'}, {'test_file': 'inductor/test_cutedsl_template'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'inductor/test_move_constructors_to_gpu'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'export/test_dynamic_shapes'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'inductor/test_device_assert'}, {'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': 'inductor/test_control_deps'}, {'test_file': 'inductor/test_benchmarking'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'export/test_tools'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'inductor/test_mem_estimation'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'inductor/test_cache'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'dynamo/test_fx_annotate'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'export/test_package'}, {'test_file': 'export/test_export_opinfo'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'export/test_db'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'inductor/test_config'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'inductor/test_pallas'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'inductor/test_torchinductor_codegen_config_overrides'}, {'test_file': 'export/test_passes'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'inductor/test_alignment'}, {'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_dicts'}, {'test_file': 'inductor/test_needs_exact_strides'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'inductor/test_augmented_graph_helper'}, {'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': 'export/test_torchbind'}, {'test_file': 'inductor/test_custom_partitioner_fn'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'export/test_swap'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'inductor/test_caching'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'export/test_nativert'}, {'test_file': 'export/test_hop'}, {'test_file': 'dynamo/test_tree_map'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'export/test_schema'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'export/test_experimental'}, {'test_file': 'export/test_converter'}, {'test_file': 'export/test_export'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'export/test_upgrader'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'export/test_verifier'}, {'test_file': 'export/test_sparse'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'functorch/test_rearrange'}, {'test_file': 'functorch/test_parsing'}, {'test_file': 'test_package'}, {'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_appending_byte_serializer'}, {'test_file': 'test_license'}, {'test_file': 'test_ao_sparsity'}, {'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': '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': 'test_torch'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'test_fx_passes'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_tensorexpr'}, {'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': 'test_weak'}, {'test_file': 'test_complex'}, {'test_file': 'test_optim'}, {'test_file': 'lazy/test_functionalization'}, {'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_utils'}, {'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': 'higher_order_ops/test_print'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'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_fx'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'test_hub'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_opaque_obj_v2'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'test_type_hints'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'test_modules'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'test_numa_binding'}, {'test_file': 'test_pruning_op'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_autocast'}, {'test_file': 'test_logging'}, {'test_file': 'test_python_dispatch'}, {'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': 'torch_np/numpy_tests/core/test_multiarray'}, {'test_file': 'test_itt'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'test_masked'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'test_subclass'}, {'test_file': 'test_import_stats'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'complex_tensor/test_complex_tensor'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'functorch/test_memory_efficient_fusion'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'test_schema_check'}, {'test_file': 'test_tensorboard'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'test_futures'}, {'test_file': 'test_tensor_creation_ops'}, {'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_jit'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_datapipe'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_functional_optim'}, {'test_file': 'test_maskedtensor'}, {'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': 'nn/test_load_state_dict'}, {'test_file': 'test_shape_ops'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_serialization'}, {'test_file': 'optim/test_optim'}, {'test_file': 'test_indexing'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_type_info'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'test_nn'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_mkldnn'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'test_native_mha'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'test_function_schema'}, {'test_file': 'test_accelerator'}, {'test_file': 'nn/test_init'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'test_type_promotion'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_reductions'}, {'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': 'test_spectral_ops'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility'}, {'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-eceb124c3299af699f87.json is not a benchmark record, skipping 2025-12-04T10:48:26.5699748Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:48:26.5703874Z /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-2dcb06928fe628a97d47.json is not a benchmark record, skipping 2025-12-04T10:48:26.5708065Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:48:26.5709850Z /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/cuda_generator_test'}], 'excluded': []} from test/test-reports/td_exclusions-159765b9f6d8a615e220.json is not a benchmark record, skipping 2025-12-04T10:48:26.5711620Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:48:26.5713376Z /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/cuda_half_test'}], 'excluded': []} from test/test-reports/td_exclusions-2bb662ce4d0773e7c03c.json is not a benchmark record, skipping 2025-12-04T10:48:26.5715162Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:48:26.5716952Z /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/cuda_vectorized_test'}], 'excluded': []} from test/test-reports/td_exclusions-c38f7105bef521ccf5d8.json is not a benchmark record, skipping 2025-12-04T10:48:26.5718734Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:48:26.5720526Z /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/cuda_distributions_test'}], 'excluded': []} from test/test-reports/td_exclusions-cce08390344d7082124b.json is not a benchmark record, skipping 2025-12-04T10:48:26.5722316Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:48:26.5724132Z /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/cuda_optional_test'}], 'excluded': []} from test/test-reports/td_exclusions-d72b2853c3be2d8f0c74.json is not a benchmark record, skipping 2025-12-04T10:48:26.5725894Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:48:26.5727657Z /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/cuda_complex_test'}], 'excluded': []} from test/test-reports/td_exclusions-3af09e6701a5ff58f73d.json is not a benchmark record, skipping 2025-12-04T10:48:26.5729415Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:48:26.5731326Z /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/cuda_complex_math_test'}], 'excluded': []} from test/test-reports/td_exclusions-a5fb75f615f8928f9b74.json is not a benchmark record, skipping 2025-12-04T10:48:26.5733108Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:48:26.5735147Z /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/cuda_cub_test'}], 'excluded': []} from test/test-reports/td_exclusions-0e6a59f10e8268010874.json is not a benchmark record, skipping 2025-12-04T10:48:26.5736887Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:48:26.5738658Z /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/cuda_atomic_ops_test'}], 'excluded': []} from test/test-reports/td_exclusions-8fdfe02c55dc126d8a71.json is not a benchmark record, skipping 2025-12-04T10:48:26.5740424Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:48:26.5742178Z /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/cuda_allocator_test'}], 'excluded': []} from test/test-reports/td_exclusions-0d67a4a40a4b41407fcc.json is not a benchmark record, skipping 2025-12-04T10:48:26.5744007Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:48:26.5745726Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/test_api'}], 'excluded': []} from test/test-reports/td_exclusions-0dbaa2d2fc512fe36956.json is not a benchmark record, skipping 2025-12-04T10:48:26.5747450Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:48:26.5878050Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T10:48:26.5878508Z cat test/**/*_toprint.log || true 2025-12-04T10:48:26.5884965Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:48:26.5885357Z env: 2025-12-04T10:48:26.5885593Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:26.5885872Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:26.5886345Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:26.5886899Z DEVICE_NAME: 2025-12-04T10:48:26.5887128Z DEVICE_TYPE: 2025-12-04T10:48:26.5887360Z ##[endgroup] 2025-12-04T10:48:26.5990653Z W1204 09:25:38.841000 2048 site-packages/torch/utils/cpp_extension.py:118] No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2025-12-04T10:48:26.5991784Z Test results will be stored in test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-7d7028b53e812719.xml 2025-12-04T10:48:26.5992678Z ============================= test session starts ============================== 2025-12-04T10:48:26.5993290Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:48:26.5993842Z cachedir: .pytest_cache 2025-12-04T10:48:26.5994503Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:48:26.5995224Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:48:26.5995547Z configfile: pytest.ini 2025-12-04T10:48:26.5996222Z 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 2025-12-04T10:48:26.5996958Z collecting ... collected 2 items 2025-12-04T10:48:26.5997325Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:48:26.5997722Z Running 0 items in this shard: 2025-12-04T10:48:26.5997930Z 2025-12-04T10:48:26.5998742Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-7d7028b53e812719.xml - 2025-12-04T10:48:26.5999677Z ============================ no tests ran in 0.02s ============================= 2025-12-04T10:48:26.6026792Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T10:48:26.6027203Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T10:48:26.6033391Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:48:26.6033779Z env: 2025-12-04T10:48:26.6034014Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:26.6034311Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:26.6035130Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:26.6035680Z DEVICE_NAME: 2025-12-04T10:48:26.6035920Z DEVICE_TYPE: 2025-12-04T10:48:26.6036166Z MONITOR_SCRIPT_PID: 44189 2025-12-04T10:48:26.6036438Z ##[endgroup] 2025-12-04T10:48:26.6064331Z /home/ec2-user/actions-runner/_work/_temp/8b346fb1-a004-4828-8c70-2a6db521ae16.sh: line 1: kill: (44189) - No such process 2025-12-04T10:48:26.6087476Z ##[error]Process completed with exit code 1. 2025-12-04T10:48:26.6341180Z Prepare all required actions 2025-12-04T10:48:26.6341661Z Getting action download info 2025-12-04T10:48:26.8076610Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T10:48:27.0888580Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T10:48:27.5815204Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T10:48:27.5815674Z with: 2025-12-04T10:48:27.5816012Z file-suffix: test-nogpu_NO_AVX2-1-2-linux.4xlarge_57117865638 2025-12-04T10:48:27.5816443Z s3-bucket: gha-artifacts 2025-12-04T10:48:27.5816708Z env: 2025-12-04T10:48:27.5816931Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:27.5817238Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:27.5817773Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:27.5818318Z DEVICE_NAME: 2025-12-04T10:48:27.5818560Z DEVICE_TYPE: 2025-12-04T10:48:27.5818843Z ##[endgroup] 2025-12-04T10:48:27.5844294Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T10:48:27.5844788Z # Remove any previous test jsons if they exist 2025-12-04T10:48:27.5845189Z rm -f test-jsons-*.zip 2025-12-04T10:48:27.5845641Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T10:48:27.5851942Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:48:27.5852352Z env: 2025-12-04T10:48:27.5852580Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:27.5852867Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:27.5853343Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:27.5853889Z DEVICE_NAME: 2025-12-04T10:48:27.5854135Z DEVICE_TYPE: 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(deflated 49%) 2025-12-04T10:48:27.8081245Z adding: test/test-reports/torch_np.numpy_tests.core.test_multiarray_1.1_eacbdf6bed921289_.log (deflated 49%) 2025-12-04T10:48:27.8081866Z adding: test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_650638d1a26b0a5c_.log (deflated 50%) 2025-12-04T10:48:27.8082372Z adding: test/test-reports/functorch.test_vmap_registrations_1.1_dbeed2c23bfd41c5_.log (deflated 48%) 2025-12-04T10:48:27.8084318Z adding: test/test-reports/nn.test_parametrization_1.1_0c249ba3f826a721_.log (deflated 96%) 2025-12-04T10:48:27.8084632Z adding: test/test-reports/lazy.test_ts_opinfo_1.1_75b49ac8d7ec9aff_.log (deflated 46%) 2025-12-04T10:48:27.8085477Z adding: test/test-reports/complex_tensor.test_complex_tensor_1.1_2c1b40b8ae8a8ce2_.log (deflated 57%) 2025-12-04T10:48:27.8085843Z adding: test/test-reports/optim.test_swa_utils_1.1_95e1a9a66329248a_.log (deflated 16%) 2025-12-04T10:48:27.8086381Z adding: 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test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_5ba02c8721f2d79f_.log (deflated 49%) 2025-12-04T10:48:27.8102438Z adding: test/test-reports/profiler.test_memory_profiler_1.1_4a31c36a17d09fee_.log (deflated 95%) 2025-12-04T10:48:27.8102770Z adding: test/test-reports/test_jit_llga_fuser_1.1_85e94cfca38618a4_.log (deflated 46%) 2025-12-04T10:48:27.8103547Z adding: test/test-reports/test_serialization_1.1_11c597fa16713db6_.log (deflated 60%) 2025-12-04T10:48:27.8103960Z adding: test/test-reports/optim.test_optim_1.1_24353a9fc320b767_.log (deflated 16%) 2025-12-04T10:48:27.8104500Z adding: test/test-reports/torch_np.numpy_tests.fft.test_pocketfft_1.1_484b1772c5862604_.log (deflated 49%) 2025-12-04T10:48:27.8105139Z adding: test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_4380b025f7c71674_.log (deflated 49%) 2025-12-04T10:48:27.8105758Z adding: test/test-reports/torch_np.numpy_tests.core.test_getlimits_1.1_584b8b56c0a7e404_.log (deflated 49%) 2025-12-04T10:48:27.8106182Z adding: test/test-reports/torch_np.test_ndarray_methods_1.1_8ca5e5d18db6dbd7_.log (deflated 48%) 2025-12-04T10:48:27.8106667Z adding: test/test-reports/test_view_ops_1.1_6141a0fd877ba405_.log (deflated 46%) 2025-12-04T10:48:27.8107332Z adding: test/test-reports/test_cuda_multigpu_1.1_e52dbcb155f8708a_.log (deflated 47%) 2025-12-04T10:48:27.8108006Z adding: test/test-reports/functorch.test_aotdispatch_1.1_d0dc5c2c56ce3930_.log (deflated 50%) 2025-12-04T10:48:27.8108534Z adding: test/test-reports/test_unary_ufuncs_1.1_50d835add65bde14_.log (deflated 46%) 2025-12-04T10:48:27.8109106Z adding: test/test-reports/test_type_promotion_1.1_6da4b7203b2eab6f_.log (deflated 46%) 2025-12-04T10:48:27.8140219Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T10:48:27.8140474Z # Remove any previous debugging artifacts if they exist 2025-12-04T10:48:27.8140608Z rm -f debug-*.zip 2025-12-04T10:48:27.8140715Z if [ -d 'test/debug' ]; then 2025-12-04T10:48:27.8140865Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T10:48:27.8140963Z fi 2025-12-04T10:48:27.8146933Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:48:27.8147016Z env: 2025-12-04T10:48:27.8147142Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:27.8147244Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:27.8147577Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:27.8147670Z DEVICE_NAME: 2025-12-04T10:48:27.8147756Z DEVICE_TYPE: 2025-12-04T10:48:27.8147963Z FILE_SUFFIX: test-nogpu_NO_AVX2-1-2-linux.4xlarge_57117865638 2025-12-04T10:48:27.8148051Z ##[endgroup] 2025-12-04T10:48:27.8233499Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:48:27.8233676Z with: 2025-12-04T10:48:27.8233783Z s3-bucket: gha-artifacts 2025-12-04T10:48:27.8233957Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T10:48:27.8234052Z retention-days: 14 2025-12-04T10:48:27.8234153Z if-no-files-found: warn 2025-12-04T10:48:27.8234268Z path: test-jsons-*.zip 2025-12-04T10:48:27.8234353Z name: artifact 2025-12-04T10:48:27.8234442Z region: us-east-1 2025-12-04T10:48:27.8234536Z env: 2025-12-04T10:48:27.8235041Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:27.8235156Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:27.8235484Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:27.8235573Z DEVICE_NAME: 2025-12-04T10:48:27.8235674Z DEVICE_TYPE: 2025-12-04T10:48:27.8235758Z ##[endgroup] 2025-12-04T10:48:28.5098978Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:48:28.5099499Z With the provided path, there will be 1 file uploaded 2025-12-04T10:48:28.5099988Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T10:48:28.6902339Z Starting upload of test-jsons-test-nogpu_NO_AVX2-1-2-linux.4xlarge_57117865638.zip 2025-12-04T10:48:28.8529003Z Finished upload of test-jsons-test-nogpu_NO_AVX2-1-2-linux.4xlarge_57117865638.zip 2025-12-04T10:48:28.8761593Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:48:28.8761948Z with: 2025-12-04T10:48:28.8762180Z s3-bucket: gha-artifacts 2025-12-04T10:48:28.8762503Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T10:48:28.8762874Z retention-days: 14 2025-12-04T10:48:28.8763267Z if-no-files-found: error 2025-12-04T10:48:28.8763546Z path: test-reports-*.zip 2025-12-04T10:48:28.8763945Z name: artifact 2025-12-04T10:48:28.8764190Z region: us-east-1 2025-12-04T10:48:28.8764413Z env: 2025-12-04T10:48:28.8764640Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:28.8764924Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:28.8765395Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:28.8765941Z DEVICE_NAME: 2025-12-04T10:48:28.8766171Z DEVICE_TYPE: 2025-12-04T10:48:28.8766388Z ##[endgroup] 2025-12-04T10:48:29.2441847Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:48:29.2442350Z With the provided path, there will be 1 file uploaded 2025-12-04T10:48:29.2442836Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T10:48:29.2492281Z Starting upload of test-reports-test-nogpu_NO_AVX2-1-2-linux.4xlarge_57117865638.zip 2025-12-04T10:48:29.3857660Z Finished upload of test-reports-test-nogpu_NO_AVX2-1-2-linux.4xlarge_57117865638.zip 2025-12-04T10:48:29.4156048Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:48:29.4156429Z with: 2025-12-04T10:48:29.4156687Z s3-bucket: gha-artifacts 2025-12-04T10:48:29.4157037Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T10:48:29.4157400Z retention-days: 14 2025-12-04T10:48:29.4157670Z if-no-files-found: ignore 2025-12-04T10:48:29.4157961Z path: logs-*.zip 2025-12-04T10:48:29.4158214Z name: artifact 2025-12-04T10:48:29.4158460Z region: us-east-1 2025-12-04T10:48:29.4158702Z env: 2025-12-04T10:48:29.4158933Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:29.4159215Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:29.4159705Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:29.4160251Z DEVICE_NAME: 2025-12-04T10:48:29.4160472Z DEVICE_TYPE: 2025-12-04T10:48:29.4160719Z ##[endgroup] 2025-12-04T10:48:29.7750432Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:48:29.7750987Z With the provided path, there will be 1 file uploaded 2025-12-04T10:48:29.7751478Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T10:48:29.7801929Z Starting upload of logs-test-nogpu_NO_AVX2-1-2-linux.4xlarge_57117865638.zip 2025-12-04T10:48:29.8802323Z Finished upload of logs-test-nogpu_NO_AVX2-1-2-linux.4xlarge_57117865638.zip 2025-12-04T10:48:29.9049604Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:48:29.9050097Z with: 2025-12-04T10:48:29.9050340Z s3-bucket: gha-artifacts 2025-12-04T10:48:29.9050687Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T10:48:29.9051062Z retention-days: 14 2025-12-04T10:48:29.9051332Z if-no-files-found: ignore 2025-12-04T10:48:29.9051624Z path: debug-*.zip 2025-12-04T10:48:29.9051854Z name: artifact 2025-12-04T10:48:29.9052080Z region: us-east-1 2025-12-04T10:48:29.9052294Z env: 2025-12-04T10:48:29.9052498Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:29.9052755Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:29.9053235Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:29.9053759Z DEVICE_NAME: 2025-12-04T10:48:29.9053969Z DEVICE_TYPE: 2025-12-04T10:48:29.9054180Z ##[endgroup] 2025-12-04T10:48:30.2431823Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T10:48:30.2620865Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T10:48:30.2621287Z # shellcheck disable=SC2156 2025-12-04T10:48:30.2621920Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T10:48:30.2628205Z shell: /usr/bin/bash -e {0} 2025-12-04T10:48:30.2628478Z env: 2025-12-04T10:48:30.2628703Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:30.2628985Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:30.2629462Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:30.2629999Z DEVICE_NAME: 2025-12-04T10:48:30.2630328Z DEVICE_TYPE: 2025-12-04T10:48:30.2630545Z ##[endgroup] 2025-12-04T10:48:30.6217494Z Prepare all required actions 2025-12-04T10:48:30.6217954Z Getting action download info 2025-12-04T10:48:30.7774893Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T10:48:31.1891149Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T10:48:31.1891536Z with: 2025-12-04T10:48:31.1891769Z job_id: 57117865638 2025-12-04T10:48:31.1892305Z job_name: linux-jammy-cuda13.0-py3.10-gcc11 / test (nogpu_NO_AVX2, 1, 2, linux.4xlarge, rerun_disabled_tests) 2025-12-04T10:48:31.1892912Z workflow_name: periodic 2025-12-04T10:48:31.1893186Z workflow_run_id: 19922826259 2025-12-04T10:48:31.1893476Z workflow_attempt: 1 2025-12-04T10:48:31.1893721Z env: 2025-12-04T10:48:31.1893927Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:31.1894208Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:31.1894690Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:31.1895275Z DEVICE_NAME: 2025-12-04T10:48:31.1895495Z DEVICE_TYPE: 2025-12-04T10:48:31.1895727Z ##[endgroup] 2025-12-04T10:48:31.1952571Z ##[group]Run actions/setup-python@v6 2025-12-04T10:48:31.1952908Z with: 2025-12-04T10:48:31.1953149Z python-version: 3.10 2025-12-04T10:48:31.1953407Z check-latest: false 2025-12-04T10:48:31.1953924Z token: *** 2025-12-04T10:48:31.1954178Z update-environment: true 2025-12-04T10:48:31.1954478Z allow-prereleases: false 2025-12-04T10:48:31.1954761Z freethreaded: false 2025-12-04T10:48:31.1955011Z env: 2025-12-04T10:48:31.1955215Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:31.1955492Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:31.1955977Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:31.1956521Z DEVICE_NAME: 2025-12-04T10:48:31.1956742Z DEVICE_TYPE: 2025-12-04T10:48:31.1956973Z ##[endgroup] 2025-12-04T10:48:31.6897742Z ##[group]Installed versions 2025-12-04T10:48:31.6908933Z Version 3.10 was not found in the local cache 2025-12-04T10:48:31.7235895Z (node:138081) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T10:48:31.7236764Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T10:48:32.0624080Z ##[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 2025-12-04T10:48:32.0818968Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T10:48:32.0819436Z with: 2025-12-04T10:48:32.0819650Z env: 2025-12-04T10:48:32.0819862Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:32.0820147Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:32.0820631Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:32.0821167Z DEVICE_NAME: 2025-12-04T10:48:32.0821397Z DEVICE_TYPE: 2025-12-04T10:48:32.0821628Z ##[endgroup] 2025-12-04T10:48:32.0839674Z ##[group]Run set -eou pipefail 2025-12-04T10:48:32.0840005Z set -eou pipefail 2025-12-04T10:48:32.0840282Z  2025-12-04T10:48:32.0840668Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T10:48:32.0841165Z for _ in $(seq 1440); do 2025-12-04T10:48:32.0841512Z  # Break if no ssh session exists anymore 2025-12-04T10:48:32.0841888Z  if [ "$(who)" = "" ]; then 2025-12-04T10:48:32.0842246Z  break 2025-12-04T10:48:32.0842495Z  fi 2025-12-04T10:48:32.0842736Z  echo "." 2025-12-04T10:48:32.0842990Z  sleep 5 2025-12-04T10:48:32.0843224Z done 2025-12-04T10:48:32.0849520Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:48:32.0849929Z env: 2025-12-04T10:48:32.0850145Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:32.0850538Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:32.0851032Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:32.0851564Z DEVICE_NAME: 2025-12-04T10:48:32.0851805Z DEVICE_TYPE: 2025-12-04T10:48:32.0852035Z ##[endgroup] 2025-12-04T10:48:32.0880410Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T10:48:32.0964791Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T10:48:32.0965391Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T10:48:32.0965869Z # shellcheck disable=SC2046 2025-12-04T10:48:32.0966226Z docker stop $(docker ps -q) || true 2025-12-04T10:48:32.0966595Z # Prune all of the docker images 2025-12-04T10:48:32.0966933Z docker system prune -af 2025-12-04T10:48:32.0972942Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:48:32.0973348Z env: 2025-12-04T10:48:32.0973574Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:48:32.0973866Z HAS_NVIDIA_GPU: false 2025-12-04T10:48:32.0974356Z DOCKER_CONTAINER_ID: 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:32.0974891Z DEVICE_NAME: 2025-12-04T10:48:32.0975138Z DEVICE_TYPE: 2025-12-04T10:48:32.0975375Z ##[endgroup] 2025-12-04T10:48:43.1183548Z 05efc85def0e 2025-12-04T10:48:43.8221752Z Deleted Containers: 2025-12-04T10:48:43.8222301Z 05efc85def0e939cff1b6f4dd63963e4cda643da91d7d1b64d7ac88b30a3f844 2025-12-04T10:48:43.8222668Z 2025-12-04T10:48:57.7869239Z Deleted Images: 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[command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T10:48:58.8771296Z [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' || :" 2025-12-04T10:48:58.9137287Z Entering 'android/libs/fbjni' 2025-12-04T10:48:58.9186530Z http.https://github.com/.extraheader 2025-12-04T10:48:58.9228788Z Entering 'third_party/FP16' 2025-12-04T10:48:58.9276744Z http.https://github.com/.extraheader 2025-12-04T10:48:58.9317769Z Entering 'third_party/FXdiv' 2025-12-04T10:48:58.9364457Z http.https://github.com/.extraheader 2025-12-04T10:48:58.9404952Z Entering 'third_party/NNPACK' 2025-12-04T10:48:58.9451323Z http.https://github.com/.extraheader 2025-12-04T10:48:58.9491843Z Entering 'third_party/NVTX' 2025-12-04T10:48:58.9540005Z http.https://github.com/.extraheader 2025-12-04T10:48:58.9584587Z Entering 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