2025-12-04T09:42:40.3022736Z Current runner version: '2.330.0' 2025-12-04T09:42:40.3028437Z Runner name: 'i-0af740a9f30bf0f12' 2025-12-04T09:42:40.3029292Z Runner group name: 'default' 2025-12-04T09:42:40.3030109Z Machine name: 'ip-10-0-50-147' 2025-12-04T09:42:40.3032713Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T09:42:40.3034825Z Contents: read 2025-12-04T09:42:40.3035340Z Metadata: read 2025-12-04T09:42:40.3035757Z ##[endgroup] 2025-12-04T09:42:40.3037900Z Secret source: Actions 2025-12-04T09:42:40.3038632Z Prepare workflow directory 2025-12-04T09:42:40.3512664Z Prepare all required actions 2025-12-04T09:42:40.3546642Z Getting action download info 2025-12-04T09:42:40.6653664Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T09:42:43.2295369Z Download action repository 'pytorch/pytorch@main' (SHA:7716da9fb23f27a65b41f9f016a2afadf281c18f) 2025-12-04T09:42:59.6623257Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T09:43:00.0031685Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T09:43:00.2648288Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T09:43:00.4359368Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:43:00.6633706Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:43:00.9888915Z Getting action download info 2025-12-04T09:43:01.1554541Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T09:43:01.4266441Z Getting action download info 2025-12-04T09:43:01.5481696Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T09:43:01.7357957Z Getting action download info 2025-12-04T09:43:01.8632895Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T09:43:02.0562561Z Getting action download info 2025-12-04T09:43:02.1977547Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T09:43:02.1981251Z ##[group] Inputs 2025-12-04T09:43:02.1981586Z build-environment: linux-jammy-cuda12.8-py3.10-gcc11-debug 2025-12-04T09:43:02.1987792Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:43:02.1994483Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:43:02.1995076Z sync-tag: 2025-12-04T09:43:02.1995759Z timeout-minutes: 240 2025-12-04T09:43:02.1995973Z use-gha: 2025-12-04T09:43:02.1996314Z dashboard-tag: 2025-12-04T09:43:02.1996586Z s3-bucket: gha-artifacts 2025-12-04T09:43:02.1996900Z aws-role-to-assume: 2025-12-04T09:43:02.1997579Z disable-monitor: false 2025-12-04T09:43:02.1997966Z monitor-log-interval: 5 2025-12-04T09:43:02.1998268Z monitor-data-collect-interval: 1 2025-12-04T09:43:02.1998633Z ##[endgroup] 2025-12-04T09:43:02.1999290Z Complete job name: linux-jammy-cuda12.8-py3.10-gcc11-debug / test (default, 7, 7, linux.g6.4xlarge.experimental.nvidia.gpu, oncall:debug-build, rerun_disabled... 2025-12-04T09:43:02.2650164Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T09:43:02.2745401Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T09:43:02.2755520Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:43:02.2756064Z ##[endgroup] 2025-12-04T09:43:03.5504138Z Runner Type: linux.g6.4xlarge.experimental.nvidia.gpu 2025-12-04T09:43:03.5504644Z Instance Type: g6.4xlarge 2025-12-04T09:43:03.5504862Z AMI Name: unknown 2025-12-04T09:43:03.5541629Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T09:43:08.4565048Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T09:43:08.4565391Z with: 2025-12-04T09:43:08.4565887Z github-secret: *** 2025-12-04T09:43:08.4566423Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T09:43:08.4566973Z activate-with-label: false 2025-12-04T09:43:08.4567196Z label: with-ssh 2025-12-04T09:43:08.4567381Z remove-existing-keys: true 2025-12-04T09:43:08.4567578Z fail-silently: true 2025-12-04T09:43:08.4567747Z env: 2025-12-04T09:43:08.4567900Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:43:08.4568098Z ##[endgroup] 2025-12-04T09:43:08.5898733Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T09:43:08.5899937Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T09:43:08.6078468Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T09:43:08.6078824Z with: 2025-12-04T09:43:08.6078991Z no-sudo: true 2025-12-04T09:43:08.6079174Z submodules: recursive 2025-12-04T09:43:08.6079375Z fetch-depth: 0 2025-12-04T09:43:08.6079548Z env: 2025-12-04T09:43:08.6079699Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:43:08.6079890Z ##[endgroup] 2025-12-04T09:43:08.6144761Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:43:08.6145685Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:43:08.6158118Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:43:08.6158410Z env: 2025-12-04T09:43:08.6158588Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:43:08.6158825Z ##[endgroup] 2025-12-04T09:43:08.6242070Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T09:43:08.6242392Z # Use all available CPUs for fetching 2025-12-04T09:43:08.6262847Z cd "${GITHUB_WORKSPACE}" 2025-12-04T09:43:08.6263131Z git config --global fetch.parallel 0 2025-12-04T09:43:08.6263427Z git config --global submodule.fetchJobs 0 2025-12-04T09:43:08.6263675Z  2025-12-04T09:43:08.6263943Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T09:43:08.6264293Z # do it here as well just in case 2025-12-04T09:43:08.6264529Z if [[ -d .git ]]; then 2025-12-04T09:43:08.6264743Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T09:43:08.6264960Z  sudo git clean -ffdx 2025-12-04T09:43:08.6265162Z  else 2025-12-04T09:43:08.6265333Z  git clean -ffdx 2025-12-04T09:43:08.6265521Z  fi 2025-12-04T09:43:08.6265677Z fi 2025-12-04T09:43:08.6273699Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:43:08.6273978Z env: 2025-12-04T09:43:08.6274202Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:43:08.6274414Z NO_SUDO: true 2025-12-04T09:43:08.6274582Z ##[endgroup] 2025-12-04T09:43:08.6393455Z ##[group]Run actions/checkout@v4 2025-12-04T09:43:08.6393665Z with: 2025-12-04T09:43:08.6393866Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:43:08.6394110Z fetch-depth: 0 2025-12-04T09:43:08.6394277Z submodules: recursive 2025-12-04T09:43:08.6394476Z show-progress: false 2025-12-04T09:43:08.6394674Z repository: pytorch/pytorch 2025-12-04T09:43:08.6395017Z token: *** 2025-12-04T09:43:08.6395178Z ssh-strict: true 2025-12-04T09:43:08.6395346Z ssh-user: git 2025-12-04T09:43:08.6395522Z persist-credentials: true 2025-12-04T09:43:08.6395714Z clean: true 2025-12-04T09:43:08.6395905Z sparse-checkout-cone-mode: true 2025-12-04T09:43:08.6396129Z fetch-tags: false 2025-12-04T09:43:08.6396291Z lfs: false 2025-12-04T09:43:08.6396456Z set-safe-directory: true 2025-12-04T09:43:08.6396646Z env: 2025-12-04T09:43:08.6396794Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:43:08.6396985Z ##[endgroup] 2025-12-04T09:43:08.7368720Z Syncing repository: pytorch/pytorch 2025-12-04T09:43:08.7369868Z ##[group]Getting Git version info 2025-12-04T09:43:08.7370275Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T09:43:08.7370800Z [command]/usr/bin/git version 2025-12-04T09:43:08.7574608Z git version 2.50.1 2025-12-04T09:43:08.7598972Z ##[endgroup] 2025-12-04T09:43:08.7608176Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/957163da-c89e-454e-8a0e-d027bbbe7f54/.gitconfig' 2025-12-04T09:43:08.7627971Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/957163da-c89e-454e-8a0e-d027bbbe7f54' before making global git config changes 2025-12-04T09:43:08.7628885Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T09:43:08.7632944Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:43:08.7678070Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T09:43:08.7681456Z ##[group]Initializing the repository 2025-12-04T09:43:08.7684934Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:43:08.7766901Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T09:43:08.7768617Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T09:43:08.7769750Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T09:43:08.7770557Z hint: 2025-12-04T09:43:08.7771189Z hint: git config --global init.defaultBranch 2025-12-04T09:43:08.7771916Z hint: 2025-12-04T09:43:08.7772608Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T09:43:08.7773476Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T09:43:08.7773920Z hint: 2025-12-04T09:43:08.7774138Z hint: git branch -m 2025-12-04T09:43:08.7774376Z hint: 2025-12-04T09:43:08.7774699Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T09:43:08.7777097Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T09:43:08.7786303Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T09:43:08.7830814Z ##[endgroup] 2025-12-04T09:43:08.7831267Z ##[group]Disabling automatic garbage collection 2025-12-04T09:43:08.7833844Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T09:43:08.7862664Z ##[endgroup] 2025-12-04T09:43:08.7862972Z ##[group]Setting up auth 2025-12-04T09:43:08.7868326Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T09:43:08.7895964Z [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' || :" 2025-12-04T09:43:08.8284456Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T09:43:08.8313435Z [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' || :" 2025-12-04T09:43:08.8648083Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T09:43:08.8676986Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T09:43:08.9005646Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T09:43:08.9060752Z ##[endgroup] 2025-12-04T09:43:08.9061324Z ##[group]Fetching the repository 2025-12-04T09:43:08.9068304Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T09:43:50.0765818Z From https://github.com/pytorch/pytorch 2025-12-04T09:43:50.0766496Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T09:43:50.0766958Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T09:43:50.0767504Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T09:43:50.0768734Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T09:43:50.0770798Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T09:43:50.0772313Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T09:43:50.0775458Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T09:43:50.0778137Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T09:43:50.0779826Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T09:43:50.0781841Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T09:43:50.0783643Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T09:43:50.0785476Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T09:43:50.0787282Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T09:43:50.0789092Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T09:43:50.0790973Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T09:43:50.0792975Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T09:43:50.0794730Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T09:43:50.0797186Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T09:43:50.0798954Z * [new branch] adi/test -> 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[new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-12-04T09:43:51.0205189Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-12-04T09:43:51.0206903Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-12-04T09:43:51.0208732Z * [new branch] xmfan/test -> origin/xmfan/test 2025-12-04T09:43:51.0211185Z * [new branch] yguo/debug-0226-constexpr -> origin/yguo/debug-0226-constexpr 2025-12-04T09:43:51.0212855Z * [new branch] yguo/new_latest_changes -> origin/yguo/new_latest_changes 2025-12-04T09:43:51.0214572Z * [new branch] yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes 2025-12-04T09:43:51.0217324Z * [new branch] yiming/bootcamp -> origin/yiming/bootcamp 2025-12-04T09:43:51.0219207Z * [new branch] yiming/run_with_start_end_rng_hop -> origin/yiming/run_with_start_end_rng_hop 2025-12-04T09:43:51.0221109Z * [new branch] yolo-llama3 -> origin/yolo-llama3 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zhxchen17/dynamo/unsafe_drop_all_guards -> origin/zhxchen17/dynamo/unsafe_drop_all_guards 2025-12-04T09:43:51.0245868Z * [new branch] zhxchen17/export/call_override -> origin/zhxchen17/export/call_override 2025-12-04T09:43:51.0247569Z * [new branch] zhxchen17/export/codemod1 -> origin/zhxchen17/export/codemod1 2025-12-04T09:43:51.0249334Z * [new branch] zhxchen17/export/ctx_return -> origin/zhxchen17/export/ctx_return 2025-12-04T09:43:51.0251227Z * [new branch] zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn 2025-12-04T09:43:51.0252941Z * [new branch] zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check 2025-12-04T09:43:51.0255306Z * [new branch] zhxchen17/precompile/aoti -> origin/zhxchen17/precompile/aoti 2025-12-04T09:43:51.0257091Z * [new branch] zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals 2025-12-04T09:43:51.0258825Z * [new branch] zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards 2025-12-04T09:43:51.0260967Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-12-04T09:43:51.0262931Z * [new branch] zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update 2025-12-04T09:43:51.0265241Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-12-04T09:43:51.0267666Z * [new branch] zxiiro/build-times -> origin/zxiiro/build-times 2025-12-04T09:43:51.0269428Z * [new branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T09:43:51.0271232Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T09:43:51.0272910Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T09:43:51.0274728Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T09:43:51.0276498Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T09:43:51.0278077Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T09:43:51.0279540Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T09:43:51.0281159Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T09:43:51.0282406Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T09:43:51.0283644Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T09:43:51.0284907Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T09:43:51.0286251Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T09:43:51.0287316Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T09:43:51.0288744Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T09:43:51.0290031Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T09:43:51.0291363Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T09:43:51.0292420Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T09:43:51.0293832Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T09:43:51.0295378Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T09:43:51.0297074Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T09:43:51.0298645Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T09:43:51.0299765Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T09:43:51.0301107Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T09:43:51.0302704Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T09:43:51.0303816Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T09:43:51.0305431Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T09:43:51.0306613Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T09:43:51.0308156Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T09:43:51.0309564Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T09:43:51.0310577Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T09:43:51.0312555Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T09:43:51.0313995Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T09:43:51.0315042Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T09:43:51.0316501Z * [new tag] ciflow/dynamo/169525 -> ciflow/dynamo/169525 2025-12-04T09:43:51.0318000Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T09:43:51.0319162Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T09:43:51.0320942Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T09:43:51.0322354Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T09:43:51.0323415Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T09:43:51.0325145Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T09:43:51.0326681Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T09:43:51.0327715Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T09:43:51.0329043Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T09:43:51.0330069Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T09:43:51.0331558Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T09:43:51.0332538Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T09:43:51.0334042Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T09:43:51.0335218Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T09:43:51.0336517Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T09:43:51.0338012Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T09:43:51.0339112Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T09:43:51.0340558Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T09:43:51.0341559Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T09:43:51.0342855Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T09:43:51.0343899Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T09:43:51.0345287Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T09:43:51.0346409Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T09:43:51.0347936Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T09:43:51.0349476Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T09:43:51.0350955Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T09:43:51.0352288Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T09:43:51.0353324Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T09:43:51.0354715Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T09:43:51.0355992Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T09:43:51.0357006Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T09:43:51.0358569Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T09:43:51.0360380Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T09:43:51.0361811Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T09:43:51.0362908Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T09:43:51.0364367Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T09:43:51.0366129Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T09:43:51.0367313Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T09:43:51.0368623Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T09:43:51.0370047Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T09:43:51.0371437Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T09:43:51.0372837Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T09:43:51.0374049Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T09:43:51.0375361Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T09:43:51.0377007Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T09:43:51.0378332Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T09:43:51.0379543Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T09:43:51.0380802Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T09:43:51.0382111Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T09:43:51.0383623Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T09:43:51.0384703Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T09:43:51.0385874Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T09:43:51.0387033Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T09:43:51.0388550Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T09:43:51.0389811Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T09:43:51.0391145Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T09:43:51.0392567Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T09:43:51.0393877Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T09:43:51.0395091Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T09:43:51.0396372Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T09:43:51.0397563Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T09:43:51.0398803Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T09:43:51.0399985Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T09:43:51.0401188Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T09:43:51.0402396Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T09:43:51.0403619Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T09:43:51.0404811Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T09:43:51.0406296Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T09:43:51.0407960Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T09:43:51.0409431Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T09:43:51.0410731Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T09:43:51.0412007Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T09:43:51.0413306Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T09:43:51.0414592Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T09:43:51.0415840Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T09:43:51.0417247Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T09:43:51.0418536Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T09:43:51.0420078Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T09:43:51.0421415Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T09:43:51.0422954Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T09:43:51.0424234Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T09:43:51.0425500Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T09:43:51.0426750Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T09:43:51.0428026Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T09:43:51.0429272Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T09:43:51.0430691Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T09:43:51.0432004Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T09:43:51.0433263Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T09:43:51.0434517Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T09:43:51.0435768Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T09:43:51.0437068Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T09:43:51.0438440Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T09:43:51.0439705Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T09:43:51.0440981Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T09:43:51.0442357Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T09:43:51.0443609Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T09:43:51.0445005Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T09:43:51.0446375Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T09:43:51.0447659Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T09:43:51.0448941Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T09:43:51.0450238Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T09:43:51.0451518Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T09:43:51.0452776Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T09:43:51.0454049Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T09:43:51.0455393Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T09:43:51.0456863Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T09:43:51.0458190Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T09:43:51.0459468Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T09:43:51.0460775Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T09:43:51.0462146Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T09:43:51.0463378Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T09:43:51.0464677Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T09:43:51.0465942Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T09:43:51.0467195Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T09:43:51.0468435Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T09:43:51.0470196Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T09:43:51.0471529Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T09:43:51.0472770Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T09:43:51.0474050Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T09:43:51.0475326Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T09:43:51.0476634Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T09:43:51.0477891Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T09:43:51.0479254Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T09:43:51.0480447Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T09:43:51.0481719Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T09:43:51.0482955Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T09:43:51.0484212Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T09:43:51.0485477Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T09:43:51.0486819Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T09:43:51.0488111Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T09:43:51.0489418Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T09:43:51.0490706Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T09:43:51.0492001Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T09:43:51.0493306Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T09:43:51.0494806Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T09:43:51.0496169Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T09:43:51.0497502Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T09:43:51.0498846Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T09:43:51.0500051Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T09:43:51.0501348Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T09:43:51.0502718Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T09:43:51.0504164Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T09:43:51.0505480Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T09:43:51.0506797Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T09:43:51.0508095Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T09:43:51.0509356Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T09:43:51.0510620Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T09:43:51.0511894Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T09:43:51.0513163Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T09:43:51.0514412Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T09:43:51.0515644Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T09:43:51.0516928Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T09:43:51.0518173Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T09:43:51.0520062Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T09:43:51.0521575Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T09:43:51.0522974Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T09:43:51.0524258Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T09:43:51.0525678Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T09:43:51.0527189Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T09:43:51.0528428Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T09:43:51.0529697Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T09:43:51.0530950Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T09:43:51.0532215Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T09:43:51.0533537Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T09:43:51.0534810Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T09:43:51.0536143Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T09:43:51.0537424Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T09:43:51.0538751Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T09:43:51.0540175Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T09:43:51.0541533Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T09:43:51.0542856Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T09:43:51.0544158Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T09:43:51.0545515Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T09:43:51.0547196Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T09:43:51.0548469Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T09:43:51.0549888Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T09:43:51.0551088Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T09:43:51.0552359Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T09:43:51.0553626Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T09:43:51.0555505Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T09:43:51.0556775Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T09:43:51.0558101Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T09:43:51.0559422Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T09:43:51.0560730Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T09:43:51.0562087Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T09:43:51.0563443Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T09:43:51.0564729Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T09:43:51.0566040Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T09:43:51.0567528Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T09:43:51.0568812Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T09:43:51.0570059Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T09:43:51.0571363Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T09:43:51.0572622Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T09:43:51.0574011Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T09:43:51.0575316Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T09:43:51.0576720Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T09:43:51.0577938Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T09:43:51.0579378Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T09:43:51.0580697Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T09:43:51.0582100Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T09:43:51.0583560Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T09:43:51.0584831Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T09:43:51.0586080Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T09:43:51.0587370Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T09:43:51.0588742Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T09:43:51.0590028Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T09:43:51.0591411Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T09:43:51.0592704Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T09:43:51.0594066Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T09:43:51.0595451Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T09:43:51.0596748Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T09:43:51.0598023Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T09:43:51.0599306Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T09:43:51.0600597Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T09:43:51.0601880Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T09:43:51.0603162Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T09:43:51.0604620Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T09:43:51.0606265Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T09:43:51.0607567Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T09:43:51.0608909Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T09:43:51.0610204Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T09:43:51.0611460Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T09:43:51.0612728Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T09:43:51.0614036Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T09:43:51.0615331Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T09:43:51.0616610Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T09:43:51.0617874Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T09:43:51.0619265Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T09:43:51.0620686Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T09:43:51.0622172Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T09:43:51.0623505Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T09:43:51.0624761Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T09:43:51.0626247Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T09:43:51.0627436Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T09:43:51.0628744Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T09:43:51.0629976Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T09:43:51.0631265Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T09:43:51.0632505Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T09:43:51.0633815Z * [new tag] ciflow/inductor/169557 -> ciflow/inductor/169557 2025-12-04T09:43:51.0635278Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T09:43:51.0636707Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T09:43:51.0638115Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T09:43:51.0639619Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T09:43:51.0640823Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T09:43:51.0642020Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T09:43:51.0643204Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T09:43:51.0644571Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T09:43:51.0645774Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T09:43:51.0647053Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T09:43:51.0648273Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T09:43:51.0649759Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T09:43:51.0650944Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T09:43:51.0652115Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T09:43:51.0653609Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T09:43:51.0654930Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T09:43:51.0656140Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T09:43:51.0657387Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T09:43:51.0658808Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T09:43:51.0660033Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T09:43:51.0661362Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T09:43:51.0663029Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T09:43:51.0664246Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T09:43:51.0665489Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T09:43:51.0666684Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T09:43:51.0667876Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T09:43:51.0669240Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T09:43:51.0670553Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T09:43:51.0672028Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T09:43:51.0673358Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T09:43:51.0675267Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T09:43:51.0677114Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T09:43:51.0678863Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T09:43:51.0680273Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T09:43:51.0681665Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T09:43:51.0683167Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T09:43:51.0684698Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T09:43:51.0686239Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T09:43:51.0687684Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T09:43:51.0689379Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T09:43:51.0690782Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T09:43:51.0691996Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T09:43:51.0693248Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T09:43:51.0694496Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T09:43:51.0695711Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T09:43:51.0697008Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T09:43:51.0698228Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T09:43:51.0699691Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T09:43:51.0701039Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T09:43:51.0702402Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T09:43:51.0703585Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T09:43:51.0704737Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T09:43:51.0706122Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T09:43:51.0707386Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T09:43:51.0708614Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T09:43:51.0710036Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T09:43:51.0711262Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T09:43:51.0712637Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T09:43:51.0713898Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T09:43:51.0715177Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T09:43:51.0716384Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T09:43:51.0717570Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T09:43:51.0719032Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T09:43:51.0720574Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T09:43:51.0721462Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T09:43:51.0722668Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T09:43:51.0723885Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T09:43:51.0725060Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T09:43:51.0726666Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T09:43:51.0728184Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T09:43:51.0729623Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T09:43:51.0730826Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T09:43:51.0732106Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T09:43:51.0733325Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T09:43:51.0734620Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T09:43:51.0735926Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T09:43:51.0737141Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T09:43:51.0738362Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T09:43:51.0739654Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T09:43:51.0740920Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T09:43:51.0742184Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T09:43:51.0743482Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T09:43:51.0744668Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T09:43:51.0745981Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T09:43:51.0747514Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T09:43:51.0748963Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T09:43:51.0750557Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T09:43:51.0751480Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T09:43:51.0752810Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T09:43:51.0754015Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T09:43:51.0755431Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T09:43:51.0756844Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T09:43:51.0758472Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T09:43:51.0760146Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T09:43:51.0761709Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T09:43:51.0763155Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T09:43:51.0764607Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T09:43:51.0765995Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T09:43:51.0767694Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T09:43:51.0768741Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T09:43:51.0770357Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T09:43:51.0771698Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T09:43:51.0773055Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T09:43:51.0774443Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T09:43:51.0776207Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T09:43:51.0777649Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T09:43:51.0779017Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T09:43:51.0780047Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T09:43:51.0781447Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T09:43:51.0782772Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T09:43:51.0783703Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T09:43:51.0785023Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T09:43:51.0786056Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T09:43:51.0787408Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T09:43:51.0788396Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T09:43:51.0789733Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T09:43:51.0790884Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T09:43:51.0792427Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T09:43:51.0794021Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T09:43:51.0795892Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T09:43:51.0797194Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T09:43:51.0798494Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T09:43:51.0799732Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T09:43:51.0801054Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T09:43:51.0802353Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T09:43:51.0803624Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T09:43:51.0804906Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T09:43:51.0806147Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T09:43:51.0807400Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T09:43:51.0808728Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T09:43:51.0809976Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T09:43:51.0811350Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T09:43:51.0812623Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T09:43:51.0813893Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T09:43:51.0815260Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T09:43:51.0816533Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T09:43:51.0817849Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T09:43:51.0819451Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T09:43:51.0820744Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T09:43:51.0822118Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T09:43:51.0823385Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T09:43:51.0824864Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T09:43:51.0826168Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T09:43:51.0827407Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T09:43:51.0828733Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T09:43:51.0830144Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T09:43:51.0831420Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T09:43:51.0832674Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T09:43:51.0834006Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T09:43:51.0835315Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T09:43:51.0836586Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T09:43:51.0837868Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T09:43:51.0839261Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T09:43:51.0840558Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T09:43:51.0841819Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T09:43:51.0843216Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T09:43:51.0844451Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T09:43:51.0845703Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T09:43:51.0846972Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T09:43:51.0848220Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T09:43:51.0849458Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T09:43:51.0850708Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T09:43:51.0851961Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T09:43:51.0853201Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T09:43:51.0854601Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T09:43:51.0855965Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T09:43:51.0857379Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T09:43:51.0858668Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T09:43:51.0860060Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T09:43:51.0861521Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T09:43:51.0862840Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T09:43:51.0864118Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T09:43:51.0865421Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T09:43:51.0866853Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T09:43:51.0868265Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T09:43:51.0869601Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T09:43:51.0870889Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T09:43:51.0872161Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T09:43:51.0873414Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T09:43:51.0874819Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T09:43:51.0876086Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T09:43:51.0877344Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T09:43:51.0878574Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T09:43:51.0880347Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T09:43:51.0881916Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T09:43:51.0883181Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T09:43:51.0884434Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T09:43:51.0885668Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T09:43:51.0887019Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T09:43:51.0888317Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T09:43:51.0889560Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T09:43:51.0890827Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T09:43:51.0892192Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T09:43:51.0893497Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T09:43:51.0894791Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T09:43:51.0896065Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T09:43:51.0897310Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T09:43:51.0898561Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T09:43:51.0899815Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T09:43:51.0901081Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T09:43:51.0902591Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T09:43:51.0903871Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T09:43:51.0905136Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T09:43:51.0906466Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T09:43:51.0907743Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T09:43:51.0909025Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T09:43:51.0910444Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T09:43:51.0911749Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T09:43:51.0913000Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T09:43:51.0914262Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T09:43:51.0915482Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T09:43:51.0916727Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T09:43:51.0918201Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T09:43:51.0919407Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T09:43:51.0920724Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T09:43:51.0921995Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T09:43:51.0923382Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T09:43:51.0925068Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T09:43:51.0926472Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T09:43:51.0927673Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T09:43:51.0928925Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T09:43:51.0930126Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T09:43:51.0931297Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T09:43:51.0932786Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T09:43:51.0934001Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T09:43:51.0935152Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T09:43:51.0936441Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T09:43:51.0937602Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T09:43:51.0938815Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T09:43:51.0940029Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T09:43:51.0941288Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T09:43:51.0942510Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T09:43:51.0943786Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T09:43:51.0944880Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T09:43:51.0946302Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T09:43:51.0947957Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T09:43:51.0949455Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T09:43:51.0950745Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T09:43:51.0951995Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T09:43:51.0953220Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T09:43:51.0954553Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T09:43:51.0955801Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T09:43:51.0957031Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T09:43:51.0958418Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T09:43:51.0959688Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T09:43:51.0960924Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T09:43:51.0962215Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T09:43:51.0963487Z * [new tag] cslpull75 -> cslpull75 2025-12-04T09:43:51.0964805Z * [new tag] cslpull76 -> cslpull76 2025-12-04T09:43:51.0966035Z * [new tag] cslpull77 -> cslpull77 2025-12-04T09:43:51.0967426Z * [new tag] cslpull78 -> cslpull78 2025-12-04T09:43:51.0968826Z * [new tag] cslpull79 -> cslpull79 2025-12-04T09:43:51.0970361Z * [new tag] cslpull80 -> cslpull80 2025-12-04T09:43:51.0971704Z * [new tag] cslpull81 -> cslpull81 2025-12-04T09:43:51.0972990Z * [new tag] cslpull82 -> cslpull82 2025-12-04T09:43:51.0974299Z * [new tag] cslpull83 -> cslpull83 2025-12-04T09:43:51.0975689Z * [new tag] cslpull84 -> cslpull84 2025-12-04T09:43:51.0976917Z * [new tag] cslpull85 -> cslpull85 2025-12-04T09:43:51.0978260Z * [new tag] cslpull86 -> cslpull86 2025-12-04T09:43:51.0979622Z * [new tag] cslpull87 -> cslpull87 2025-12-04T09:43:51.0980963Z * [new tag] cslpull88 -> cslpull88 2025-12-04T09:43:51.0982500Z * [new tag] cslpull89 -> cslpull89 2025-12-04T09:43:51.0983825Z * [new tag] cslpull90 -> cslpull90 2025-12-04T09:43:51.0985423Z * [new tag] cslpull91 -> cslpull91 2025-12-04T09:43:51.0986726Z * [new tag] cslpull92 -> cslpull92 2025-12-04T09:43:51.0988099Z * [new tag] flight_5 -> flight_5 2025-12-04T09:43:51.0989675Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T09:43:51.0990991Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T09:43:51.0992350Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T09:43:51.0993743Z * [new tag] forpull1 -> forpull1 2025-12-04T09:43:51.0995348Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T09:43:51.0996658Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T09:43:51.0997958Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T09:43:51.0999360Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T09:43:51.1000761Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T09:43:51.1002177Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T09:43:51.1003872Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T09:43:51.1005129Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T09:43:51.1006759Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T09:43:51.1008316Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T09:43:51.1009732Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T09:43:51.1011525Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T09:43:51.1012886Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T09:43:51.1014315Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T09:43:51.1015822Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T09:43:51.1017340Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T09:43:51.1018611Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T09:43:51.1020353Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T09:43:51.1021749Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T09:43:51.1023184Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T09:43:51.1024718Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T09:43:51.1026174Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T09:43:51.1027512Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T09:43:51.1028859Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T09:43:51.1030230Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T09:43:51.1031622Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T09:43:51.1033052Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T09:43:51.1034477Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T09:43:51.1035762Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T09:43:51.1037129Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T09:43:51.1038560Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T09:43:51.1039955Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T09:43:51.1041399Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T09:43:51.1042742Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T09:43:51.1044256Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T09:43:51.1045549Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T09:43:51.1046994Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T09:43:51.1048319Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T09:43:51.1049725Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T09:43:51.1051102Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T09:43:51.1052350Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T09:43:51.1053720Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T09:43:51.1055292Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T09:43:51.1056628Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T09:43:51.1058052Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T09:43:51.1059525Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T09:43:51.1060977Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T09:43:51.1062529Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T09:43:51.1065399Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T09:43:51.1065738Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T09:43:51.1066644Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T09:43:51.1067842Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T09:43:51.1069332Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T09:43:51.1070557Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T09:43:51.1072070Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T09:43:51.1073459Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T09:43:51.1074626Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T09:43:51.1076154Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T09:43:51.1077532Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T09:43:51.1078860Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T09:43:51.1080036Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T09:43:51.1081685Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T09:43:51.1082897Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T09:43:51.1084494Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T09:43:51.1085897Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T09:43:51.1087281Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T09:43:51.1088425Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T09:43:51.1090016Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T09:43:51.1091554Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T09:43:51.1093248Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T09:43:51.1094676Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T09:43:51.1096082Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T09:43:51.1097321Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T09:43:51.1098851Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T09:43:51.1100307Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T09:43:51.1102247Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T09:43:51.1103766Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T09:43:51.1104947Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T09:43:51.1106204Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T09:43:51.1107681Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T09:43:51.1109111Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T09:43:51.1110261Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T09:43:51.1111808Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T09:43:51.1113239Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T09:43:51.1114848Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T09:43:51.1116434Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T09:43:51.1117798Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T09:43:51.1119367Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T09:43:51.1122433Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T09:43:51.1123861Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T09:43:51.1125153Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T09:43:51.1126621Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T09:43:51.1127976Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T09:43:51.1129414Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T09:43:51.1130733Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T09:43:51.1132324Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T09:43:51.1133474Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T09:43:51.1134926Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T09:43:51.1136231Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T09:43:51.1137787Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T09:43:51.1139118Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T09:43:51.1140459Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T09:43:51.1142038Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T09:43:51.1143373Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T09:43:51.1144892Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T09:43:51.1146053Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T09:43:51.1147561Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T09:43:51.1149012Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T09:43:51.1150480Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T09:43:51.1151541Z * [new tag] trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f -> trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f 2025-12-04T09:43:51.1153057Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T09:43:51.1154566Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T09:43:51.1155898Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T09:43:51.1157034Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T09:43:51.1158551Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T09:43:51.1159897Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T09:43:51.1161322Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T09:43:51.1162874Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T09:43:51.1163973Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T09:43:51.1165451Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T09:43:51.1166782Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T09:43:51.1168351Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T09:43:51.1169513Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T09:43:51.1170854Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T09:43:51.1172279Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T09:43:51.1173871Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T09:43:51.1175459Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T09:43:51.1176938Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T09:43:51.1178001Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T09:43:51.1179710Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T09:43:51.1180950Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T09:43:51.1182598Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T09:43:51.1184064Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T09:43:51.1185405Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T09:43:51.1186905Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T09:43:51.1187992Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T09:43:51.1189319Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T09:43:51.1190874Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T09:43:51.1192097Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T09:43:51.1194002Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T09:43:51.1195427Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T09:43:51.1196894Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T09:43:51.1198235Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T09:43:51.1199713Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T09:43:51.1200940Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T09:43:51.1202507Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T09:43:51.1203986Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T09:43:51.1205175Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T09:43:51.1207029Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T09:43:51.1208410Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T09:43:51.1209842Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T09:43:51.1211138Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T09:43:51.1212470Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T09:43:51.1214070Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T09:43:51.1215372Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T09:43:51.1216841Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T09:43:51.1218169Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T09:43:51.1219534Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T09:43:51.1221085Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T09:43:51.1222683Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T09:43:51.1224088Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T09:43:51.1225572Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T09:43:51.1227036Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T09:43:51.1228493Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T09:43:51.1229937Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T09:43:51.1231372Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T09:43:51.1232843Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T09:43:51.1234301Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T09:43:51.1235834Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T09:43:51.1237187Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T09:43:51.1238580Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T09:43:51.1240038Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T09:43:51.1241425Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T09:43:51.1242908Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T09:43:51.1244755Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T09:43:51.1246206Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T09:43:51.1247584Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T09:43:51.1249266Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T09:43:51.1250707Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T09:43:51.1252153Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T09:43:51.1253607Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T09:43:51.1255186Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T09:43:51.1256766Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T09:43:51.1258326Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T09:43:51.1259477Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T09:43:51.1261041Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T09:43:51.1262609Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T09:43:51.1263960Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T09:43:51.1265642Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T09:43:51.1267086Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T09:43:51.1268563Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T09:43:51.1270006Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T09:43:51.1271376Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T09:43:51.1272847Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T09:43:51.1274692Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T09:43:51.1276272Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T09:43:51.1277688Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T09:43:51.1279110Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T09:43:51.1280554Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T09:43:51.1282124Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T09:43:51.1283546Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T09:43:51.1284919Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T09:43:51.1286298Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T09:43:51.1288161Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T09:43:51.1289744Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T09:43:51.1291025Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T09:43:51.1292534Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T09:43:51.1294001Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T09:43:51.1295545Z * [new tag] trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 2025-12-04T09:43:51.1296970Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T09:43:51.1298399Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T09:43:51.1299817Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T09:43:51.1301641Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T09:43:51.1303181Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T09:43:51.1304704Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T09:43:51.1306111Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T09:43:51.1307519Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T09:43:51.1308949Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T09:43:51.1310401Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T09:43:51.1311734Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T09:43:51.1313123Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T09:43:51.1314554Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T09:43:51.1315901Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T09:43:51.1317362Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T09:43:51.1318956Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T09:43:51.1320894Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T09:43:51.1322298Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T09:43:51.1323856Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:43:51.1324883Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T09:43:51.1326252Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T09:43:51.1327601Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T09:43:51.1329026Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T09:43:51.1330376Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T09:43:51.1331654Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T09:43:51.1332922Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T09:43:51.1334289Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T09:43:51.1335637Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T09:43:51.1336943Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T09:43:51.1338261Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T09:43:51.1339554Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T09:43:51.1340903Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T09:43:51.1342409Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T09:43:51.1343774Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T09:43:51.1345128Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T09:43:51.1346440Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T09:43:51.1347832Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T09:43:51.1349297Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T09:43:51.1350636Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T09:43:51.1351986Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T09:43:51.1353613Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T09:43:51.1354956Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T09:43:51.1356303Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T09:43:51.1357812Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T09:43:51.1359210Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T09:43:51.1360589Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T09:43:51.1361822Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T09:43:51.1363147Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T09:43:51.1364552Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T09:43:51.1365567Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T09:43:51.1366879Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T09:43:51.1368279Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T09:43:51.1369708Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T09:43:51.1371153Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T09:43:51.1372579Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T09:43:51.1373974Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T09:43:51.1375355Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T09:43:51.1376351Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T09:43:51.1377649Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T09:43:51.1379210Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T09:43:51.1380422Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T09:43:51.1381948Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T09:43:51.1383278Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T09:43:51.1384693Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T09:43:51.1386089Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T09:43:51.1387534Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T09:43:51.1388488Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T09:43:51.1389776Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T09:43:51.1390972Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T09:43:51.1392448Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T09:43:51.1393850Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T09:43:51.1395259Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T09:43:51.1396703Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T09:43:51.1397696Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T09:43:51.1399192Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T09:43:51.1400553Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T09:43:51.1401915Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T09:43:51.1403247Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T09:43:51.1404677Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T09:43:51.1405833Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T09:43:51.1407108Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T09:43:51.1408469Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T09:43:51.1409479Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T09:43:51.1410928Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T09:43:51.1412431Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T09:43:51.1413621Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T09:43:51.1415022Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T09:43:51.1416016Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T09:43:51.1417510Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T09:43:51.1418944Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T09:43:51.1420233Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T09:43:51.1421667Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T09:43:51.1423143Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T09:43:51.1424543Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T09:43:51.1425954Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T09:43:51.1427277Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T09:43:51.1428464Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T09:43:51.1429871Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T09:43:51.1430862Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T09:43:51.1432191Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T09:43:51.1433622Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T09:43:51.1435165Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T09:43:51.1436516Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T09:43:51.1437777Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T09:43:51.1439513Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T09:43:51.1440870Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T09:43:51.1441920Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T09:43:51.1443479Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T09:43:51.1444937Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T09:43:51.1446316Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T09:43:51.1447742Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T09:43:51.1448869Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T09:43:51.1450162Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T09:43:51.1451592Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T09:43:51.1452998Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T09:43:51.1454376Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T09:43:51.1455819Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T09:43:51.1456805Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T09:43:51.1458288Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T09:43:51.1459703Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T09:43:51.1461041Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T09:43:51.1462123Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T09:43:51.1463470Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T09:43:51.1464835Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T09:43:51.1466126Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T09:43:51.1467025Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T09:43:51.1468872Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T09:43:51.1470041Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T09:43:51.1471503Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T09:43:51.1472895Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T09:43:51.1474332Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T09:43:51.1475717Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T09:43:51.1477027Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T09:43:51.1478395Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T09:43:51.1479859Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T09:43:51.1480899Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T09:43:51.1482428Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T09:43:51.1483766Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T09:43:51.1485153Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T09:43:51.1486583Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T09:43:51.1487970Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T09:43:51.1489332Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T09:43:51.1490445Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T09:43:51.1491922Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T09:43:51.1493382Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T09:43:51.1494340Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T09:43:51.1495780Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T09:43:51.1496819Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T09:43:51.1498782Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T09:43:51.1500094Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T09:43:51.1501533Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T09:43:51.1502983Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T09:43:51.1504487Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T09:43:51.1505892Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T09:43:51.1506892Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T09:43:51.1508509Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T09:43:51.1509993Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T09:43:51.1511417Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T09:43:51.1512881Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T09:43:51.1514287Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T09:43:51.1515687Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T09:43:51.1516623Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T09:43:51.1518114Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T09:43:51.1520021Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T09:43:51.1521757Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T09:43:51.1522971Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T09:43:51.1524598Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T09:43:51.1525990Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T09:43:51.1528064Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T09:43:51.1529428Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T09:43:51.1530824Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T09:43:51.1532130Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T09:43:51.1533530Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T09:43:51.1534470Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T09:43:51.1535782Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T09:43:51.1537202Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T09:43:51.1538825Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T09:43:51.1539688Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T09:43:51.1540971Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T09:43:51.1542227Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T09:43:51.1543752Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T09:43:51.1544760Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T09:43:51.1546108Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T09:43:51.1547632Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T09:43:51.1548827Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T09:43:51.1550281Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T09:43:51.1551715Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T09:43:51.1553018Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T09:43:51.1554358Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T09:43:51.1555762Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T09:43:51.1557152Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T09:43:51.1558505Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T09:43:51.1559961Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T09:43:51.1561290Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T09:43:51.1562676Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T09:43:51.1563726Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T09:43:51.1565134Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T09:43:51.1566524Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T09:43:51.1567897Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T09:43:51.1569355Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T09:43:51.1570769Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T09:43:51.1572094Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T09:43:51.1573410Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T09:43:51.1574808Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T09:43:51.1576219Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T09:43:51.1577611Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T09:43:51.1578987Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T09:43:51.1580381Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T09:43:51.1581832Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T09:43:51.1583228Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T09:43:51.1584221Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T09:43:51.1585809Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T09:43:51.1587255Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T09:43:51.1588638Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T09:43:51.1589993Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T09:43:51.1591347Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T09:43:51.1592543Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T09:43:51.1593957Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T09:43:51.1595285Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T09:43:51.1596671Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T09:43:51.1598091Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T09:43:51.1599462Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T09:43:51.1600858Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T09:43:51.1602260Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T09:43:51.1603772Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T09:43:51.1604670Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T09:43:51.1605928Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T09:43:51.1607061Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T09:43:51.1608727Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T09:43:51.1610137Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T09:43:51.1611542Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T09:43:51.1612831Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T09:43:51.1614792Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T09:43:51.1616285Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T09:43:51.1617657Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T09:43:51.1619297Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T09:43:51.1620757Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T09:43:51.1622297Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T09:43:51.1623790Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T09:43:51.1625162Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T09:43:51.1626734Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T09:43:51.1628175Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T09:43:51.1629562Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T09:43:51.1630915Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T09:43:51.1632348Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T09:43:51.1633701Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T09:43:51.1635090Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T09:43:51.1636494Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T09:43:51.1637668Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T09:43:51.1639122Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T09:43:51.1640567Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T09:43:51.1642038Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T09:43:51.1643501Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T09:43:51.1644835Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T09:43:51.1645982Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T09:43:51.1647433Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T09:43:51.1648860Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T09:43:51.1650344Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T09:43:51.1651767Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T09:43:51.1653257Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T09:43:51.1654805Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T09:43:51.1656227Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T09:43:51.1657627Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T09:43:51.1659033Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T09:43:51.1660524Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T09:43:51.1662136Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T09:43:51.1663483Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T09:43:51.1664977Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T09:43:51.1666455Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T09:43:51.1667890Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T09:43:51.1669290Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T09:43:51.1670897Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T09:43:51.1672308Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T09:43:51.1673942Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T09:43:51.1675430Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T09:43:51.1676685Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T09:43:51.1678150Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T09:43:51.1679645Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T09:43:51.1681482Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T09:43:51.1682863Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T09:43:51.1684231Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T09:43:51.1685425Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T09:43:51.1686803Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T09:43:51.1688162Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T09:43:51.1689524Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T09:43:51.1690843Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T09:43:51.1692125Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T09:43:51.1693708Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T09:43:51.1695388Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T09:43:51.1696832Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T09:43:51.1698344Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T09:43:51.1699819Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T09:43:51.1701277Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T09:43:51.1702726Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T09:43:51.1704302Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T09:43:51.1705889Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T09:43:51.1707262Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T09:43:51.1708677Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T09:43:51.1710044Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T09:43:51.1711444Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T09:43:51.1712796Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T09:43:51.1714166Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T09:43:51.1715541Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T09:43:51.1717070Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T09:43:51.1718385Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T09:43:51.1720036Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T09:43:51.1721390Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T09:43:51.1722803Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T09:43:51.1724493Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T09:43:51.1726062Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T09:43:51.1727475Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T09:43:51.1728895Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T09:43:51.1730281Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T09:43:51.1731685Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T09:43:51.1733146Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T09:43:51.1734558Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T09:43:51.1735948Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T09:43:51.1737316Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T09:43:51.1738712Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T09:43:51.1740102Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T09:43:51.1741541Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T09:43:51.1742981Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T09:43:51.1744617Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T09:43:51.1746211Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T09:43:51.1747631Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T09:43:51.1749085Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T09:43:51.1750539Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T09:43:51.1751954Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T09:43:51.1753366Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T09:43:51.1754735Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T09:43:51.1756221Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T09:43:51.1757632Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T09:43:51.1759049Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T09:43:51.1760437Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T09:43:51.1762325Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T09:43:51.1763747Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T09:43:51.1765178Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T09:43:51.1766624Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T09:43:51.1767966Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T09:43:51.1769504Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T09:43:51.1770796Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T09:43:51.1772117Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T09:43:51.1773618Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T09:43:51.1774933Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T09:43:51.1776348Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T09:43:51.1777740Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T09:43:51.1779203Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T09:43:51.1780391Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T09:43:51.1781999Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T09:43:51.1783466Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T09:43:51.1784945Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T09:43:51.1786377Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T09:43:51.1787743Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T09:43:51.1788974Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T09:43:51.1790492Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T09:43:51.1791902Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T09:43:51.1793311Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T09:43:51.1794806Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T09:43:51.1796278Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T09:43:51.1797619Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T09:43:51.1799015Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T09:43:51.1800400Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T09:43:51.1801851Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T09:43:51.1803309Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T09:43:51.1804656Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T09:43:51.1806008Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T09:43:51.1807494Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T09:43:51.1808864Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T09:43:51.1810279Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T09:43:51.1811867Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T09:43:51.1813372Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T09:43:51.1814781Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T09:43:51.1816155Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T09:43:51.1817434Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T09:43:51.1819043Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T09:43:51.1820615Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T09:43:51.1821888Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T09:43:51.1823365Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T09:43:51.1824826Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T09:43:51.1826445Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T09:43:51.1827801Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T09:43:51.1829180Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T09:43:51.1830504Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T09:43:51.1831868Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T09:43:51.1833309Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T09:43:51.1834856Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T09:43:51.1836350Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T09:43:51.1837706Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T09:43:51.1839172Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T09:43:51.1840641Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T09:43:51.1854512Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T09:43:51.1854792Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T09:43:51.1854949Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T09:43:51.1855104Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T09:43:51.1855234Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T09:43:51.1855359Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T09:43:51.1855495Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T09:43:51.1855623Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T09:43:51.1855756Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T09:43:51.1855888Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T09:43:51.1856597Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T09:43:51.1858321Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T09:43:51.1859758Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T09:43:51.1861244Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T09:43:51.1862709Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T09:43:51.1864087Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T09:43:51.1865556Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T09:43:51.1866981Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T09:43:51.1868475Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T09:43:51.1869663Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T09:43:51.1871044Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T09:43:51.1872541Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T09:43:51.1873743Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T09:43:51.1875131Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T09:43:51.1876530Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T09:43:51.1878043Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T09:43:51.1879453Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T09:43:51.1880883Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T09:43:51.1882382Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T09:43:51.1883840Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T09:43:51.1885582Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T09:43:51.1886982Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T09:43:51.1888419Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T09:43:51.1889781Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T09:43:51.1891291Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T09:43:51.1893071Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T09:43:51.1894543Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T09:43:51.1895793Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T09:43:51.1897205Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T09:43:51.1898699Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T09:43:51.1900132Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T09:43:51.1901472Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T09:43:51.1902947Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T09:43:51.1904348Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T09:43:51.1905726Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T09:43:51.1907081Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T09:43:51.1908477Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T09:43:51.1909987Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T09:43:51.1911342Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T09:43:51.1912724Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T09:43:51.1914134Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T09:43:51.1915616Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T09:43:51.1917047Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T09:43:51.1919855Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T09:43:51.1921226Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T09:43:51.1922676Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T09:43:51.1924045Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T09:43:51.1925617Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T09:43:51.1926907Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T09:43:51.1928351Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T09:43:51.1929972Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T09:43:51.1931406Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T09:43:51.1932794Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T09:43:51.1934229Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T09:43:51.1935603Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T09:43:51.1937047Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T09:43:51.1938461Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T09:43:51.1939919Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T09:43:51.1941366Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T09:43:51.1942871Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T09:43:51.1944257Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T09:43:51.1945652Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T09:43:51.1947529Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T09:43:51.1948946Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T09:43:51.1950347Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T09:43:51.1951822Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T09:43:51.1953220Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T09:43:51.1954742Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T09:43:51.1956117Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T09:43:51.1957541Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T09:43:51.1958893Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T09:43:51.1960260Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T09:43:51.1961744Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T09:43:51.1963191Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T09:43:51.1964632Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T09:43:51.1966057Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T09:43:51.1967502Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T09:43:51.1968963Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T09:43:51.1970333Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T09:43:51.1971725Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T09:43:51.1973126Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T09:43:51.1974624Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T09:43:51.1976117Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T09:43:51.1977611Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T09:43:51.1978941Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T09:43:51.1980718Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T09:43:51.1982336Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T09:43:51.1983708Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T09:43:51.1985065Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T09:43:51.1986626Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T09:43:51.1987905Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T09:43:51.1989321Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T09:43:51.1990695Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T09:43:51.1992147Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T09:43:51.1993555Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T09:43:51.1994923Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T09:43:51.1996355Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T09:43:51.1997812Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T09:43:51.1999365Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T09:43:51.2000927Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T09:43:51.2002410Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T09:43:51.2003805Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T09:43:51.2005165Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T09:43:51.2006575Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T09:43:51.2008008Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T09:43:51.2009608Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T09:43:51.2011007Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T09:43:51.2012455Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T09:43:51.2013869Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T09:43:51.2015344Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T09:43:51.2016724Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T09:43:51.2018105Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T09:43:51.2022472Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T09:43:51.2023894Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T09:43:51.2025368Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T09:43:51.2026774Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T09:43:51.2028368Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T09:43:51.2029734Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T09:43:51.2031321Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T09:43:51.2032589Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T09:43:51.2034009Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T09:43:51.2035676Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T09:43:51.2037080Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T09:43:51.2038346Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T09:43:51.2039939Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T09:43:51.2041322Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T09:43:51.2043201Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T09:43:51.2044552Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T09:43:51.2045975Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T09:43:51.2047444Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T09:43:51.2048928Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T09:43:51.2050383Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T09:43:51.2051876Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T09:43:51.2053343Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T09:43:51.2054785Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T09:43:51.2056290Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T09:43:51.2058005Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T09:43:51.2059457Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T09:43:51.2060976Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T09:43:51.2062736Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T09:43:51.2064442Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T09:43:51.2065871Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T09:43:51.2067302Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T09:43:51.2068799Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T09:43:51.2070309Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T09:43:51.2071612Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T09:43:51.2073172Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T09:43:51.2074882Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T09:43:51.2076428Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T09:43:51.2077836Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T09:43:51.2079264Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T09:43:51.2080741Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T09:43:51.2082185Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T09:43:51.2083634Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T09:43:51.2084959Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T09:43:51.2086343Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T09:43:51.2087848Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T09:43:51.2089287Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T09:43:51.2090708Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T09:43:51.2092173Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T09:43:51.2093614Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T09:43:51.2095052Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T09:43:51.2096549Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T09:43:51.2098099Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T09:43:51.2099511Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T09:43:51.2100949Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T09:43:51.2102594Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T09:43:51.2103922Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T09:43:51.2105261Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T09:43:51.2106675Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T09:43:51.2108112Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T09:43:51.2109569Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T09:43:51.2111128Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T09:43:51.2112597Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T09:43:51.2114194Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T09:43:51.2115857Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T09:43:51.2117294Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T09:43:51.2118913Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T09:43:51.2120591Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T09:43:51.2122165Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T09:43:51.2123592Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T09:43:51.2125054Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T09:43:51.2126555Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T09:43:51.2128078Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T09:43:51.2129590Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T09:43:51.2131079Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T09:43:51.2132631Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T09:43:51.2134212Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T09:43:51.2135554Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T09:43:51.2137044Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T09:43:51.2139122Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T09:43:51.2140536Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T09:43:51.2142106Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T09:43:51.2144111Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T09:43:51.2145570Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T09:43:51.2147075Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T09:43:51.2148640Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T09:43:51.2150140Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T09:43:51.2151618Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T09:43:51.2153108Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T09:43:51.2154595Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T09:43:51.2156073Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T09:43:51.2157577Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T09:43:51.2159095Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T09:43:51.2160581Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T09:43:51.2162077Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T09:43:51.2163550Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T09:43:51.2164986Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T09:43:51.2166621Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T09:43:51.2168198Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T09:43:51.2169812Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T09:43:51.2171242Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T09:43:51.2172733Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T09:43:51.2174338Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T09:43:51.2175819Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T09:43:51.2177273Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T09:43:51.2178712Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T09:43:51.2180213Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T09:43:51.2181820Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T09:43:51.2183249Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T09:43:51.2184752Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T09:43:51.2186287Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T09:43:51.2187813Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T09:43:51.2189246Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T09:43:51.2190704Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T09:43:51.2192167Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T09:43:51.2193803Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T09:43:51.2195091Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T09:43:51.2196591Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T09:43:51.2198157Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T09:43:51.2199634Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T09:43:51.2201109Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T09:43:51.2202632Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T09:43:51.2204142Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T09:43:51.2205709Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T09:43:51.2207186Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T09:43:51.2208706Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T09:43:51.2210154Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T09:43:51.2211680Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T09:43:51.2213153Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T09:43:51.2214682Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T09:43:51.2216138Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T09:43:51.2217771Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T09:43:51.2220477Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T09:43:51.2220676Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T09:43:51.2222583Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T09:43:51.2224104Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T09:43:51.2225587Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T09:43:51.2227100Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T09:43:51.2228570Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T09:43:51.2230122Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T09:43:51.2231512Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T09:43:51.2232964Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T09:43:51.2234507Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T09:43:51.2236453Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T09:43:51.2237884Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T09:43:51.2239410Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T09:43:51.2240942Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T09:43:51.2242604Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T09:43:51.2244288Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T09:43:51.2245824Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T09:43:51.2247423Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T09:43:51.2249100Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T09:43:51.2250366Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T09:43:51.2251928Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T09:43:51.2253417Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T09:43:51.2254996Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T09:43:51.2256699Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T09:43:51.2258017Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T09:43:51.2259541Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T09:43:51.2261046Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T09:43:51.2262675Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T09:43:51.2264116Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T09:43:51.2265648Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T09:43:51.2267101Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T09:43:51.2268446Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T09:43:51.2269774Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T09:43:51.2271291Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T09:43:51.2272800Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T09:43:51.2274142Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T09:43:51.2275945Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T09:43:51.2277388Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T09:43:51.2278882Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T09:43:51.2280466Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T09:43:51.2281982Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T09:43:51.2283526Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T09:43:51.2285206Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T09:43:51.2286703Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T09:43:51.2288496Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T09:43:51.2290058Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T09:43:51.2291523Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T09:43:51.2293005Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T09:43:51.2294564Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T09:43:51.2296098Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T09:43:51.2297598Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T09:43:51.2299079Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T09:43:51.2300735Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T09:43:51.2302434Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T09:43:51.2304035Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T09:43:51.2305359Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T09:43:51.2306818Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T09:43:51.2308321Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T09:43:51.2309914Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T09:43:51.2311490Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T09:43:51.2313040Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T09:43:51.2314629Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T09:43:51.2316244Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T09:43:51.2317744Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T09:43:51.2320908Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T09:43:51.2321190Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T09:43:51.2322476Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T09:43:51.2324049Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T09:43:51.2325743Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T09:43:51.2327119Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T09:43:51.2328627Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T09:43:51.2330140Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T09:43:51.2331528Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T09:43:51.2333068Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T09:43:51.2335105Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T09:43:51.2336705Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T09:43:51.2338255Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T09:43:51.2339856Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T09:43:51.2341364Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T09:43:51.2342910Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T09:43:51.2344586Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T09:43:51.2346285Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T09:43:51.2347770Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T09:43:51.2349227Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T09:43:51.2350696Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T09:43:51.2352187Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T09:43:51.2353632Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T09:43:51.2355045Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T09:43:51.2356534Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T09:43:51.2358028Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T09:43:51.2359696Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T09:43:51.2361172Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T09:43:51.2362622Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T09:43:51.2364310Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T09:43:51.2365844Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T09:43:51.2367380Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T09:43:51.2368823Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T09:43:51.2370443Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T09:43:51.2371975Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T09:43:51.2373494Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T09:43:51.2374962Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T09:43:51.2376520Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T09:43:51.2378027Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T09:43:51.2379572Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T09:43:51.2381258Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T09:43:51.2382841Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T09:43:51.2384334Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T09:43:51.2385704Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T09:43:51.2387212Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T09:43:51.2388692Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T09:43:51.2390135Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T09:43:51.2391688Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T09:43:51.2393198Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T09:43:51.2395203Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T09:43:51.2396644Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T09:43:51.2398140Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T09:43:51.2399457Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T09:43:51.2401003Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T09:43:51.2402476Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T09:43:51.2403943Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T09:43:51.2405469Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T09:43:51.2406841Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T09:43:51.2408302Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T09:43:51.2409896Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T09:43:51.2411236Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T09:43:51.2412719Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T09:43:51.2414369Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T09:43:51.2415942Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T09:43:51.2417435Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T09:43:51.2419054Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T09:43:51.2422511Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T09:43:51.2424027Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T09:43:51.2425453Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T09:43:51.2426974Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T09:43:51.2428341Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T09:43:51.2429867Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T09:43:51.2431368Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T09:43:51.2432856Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T09:43:51.2434908Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T09:43:51.2436435Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T09:43:51.2437956Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T09:43:51.2439513Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T09:43:51.2440997Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T09:43:51.2442510Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T09:43:51.2444065Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T09:43:51.2445717Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T09:43:51.2446991Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T09:43:51.2448575Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T09:43:51.2450095Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T09:43:51.2451634Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T09:43:51.2453162Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T09:43:51.2454863Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T09:43:51.2456374Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T09:43:51.2457848Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T09:43:51.2459372Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T09:43:51.2460914Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T09:43:51.2462526Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T09:43:51.2463980Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T09:43:51.2465533Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T09:43:51.2467069Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T09:43:51.2468663Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T09:43:51.2470129Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T09:43:51.2471627Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T09:43:51.2472874Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T09:43:51.2474361Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T09:43:51.2475794Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T09:43:51.2477259Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T09:43:51.2478780Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T09:43:51.2480244Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T09:43:51.2481780Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T09:43:51.2483284Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T09:43:51.2485057Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T09:43:51.2487017Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T09:43:51.2488631Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T09:43:51.2490184Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T09:43:51.2491569Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T09:43:51.2493113Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T09:43:51.2494936Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T09:43:51.2496356Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T09:43:51.2497730Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T09:43:51.2499222Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T09:43:51.2500690Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T09:43:51.2502884Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T09:43:51.2504362Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T09:43:51.2505849Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T09:43:51.2507302Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T09:43:51.2508830Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T09:43:51.2510378Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T09:43:51.2512014Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T09:43:51.2513622Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T09:43:51.2515463Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T09:43:51.2516896Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T09:43:51.2518413Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T09:43:51.2520180Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T09:43:51.2521691Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T09:43:51.2523287Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T09:43:51.2524891Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T09:43:51.2526452Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T09:43:51.2528105Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T09:43:51.2529580Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T09:43:51.2531080Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T09:43:51.2532561Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T09:43:51.2534453Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T09:43:51.2536051Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T09:43:51.2537677Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T09:43:51.2538938Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T09:43:51.2540476Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T09:43:51.2542174Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T09:43:51.2543457Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T09:43:51.2544735Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T09:43:51.2546079Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T09:43:51.2547598Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T09:43:51.2549097Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T09:43:51.2550632Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T09:43:51.2552127Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T09:43:51.2553703Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T09:43:51.2555208Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T09:43:51.2556767Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T09:43:51.2558288Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T09:43:51.2559794Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T09:43:51.2561319Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T09:43:51.2562674Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T09:43:51.2564338Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T09:43:51.2565849Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T09:43:51.2567377Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T09:43:51.2568862Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T09:43:51.2570355Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T09:43:51.2571901Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T09:43:51.2573414Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T09:43:51.2574891Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T09:43:51.2576367Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T09:43:51.2577884Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T09:43:51.2579380Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T09:43:51.2580974Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T09:43:51.2582684Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T09:43:51.2584203Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T09:43:51.2585854Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T09:43:51.2587450Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T09:43:51.2588955Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T09:43:51.2590627Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T09:43:51.2592113Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T09:43:51.2593578Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T09:43:51.2595101Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T09:43:51.2596652Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T09:43:51.2597986Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T09:43:51.2599496Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T09:43:51.2600951Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T09:43:51.2602587Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T09:43:51.2604182Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T09:43:51.2606011Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T09:43:51.2607502Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T09:43:51.2608973Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T09:43:51.2610510Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T09:43:51.2611961Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T09:43:51.2613436Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T09:43:51.2614878Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T09:43:51.2616354Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T09:43:51.2617888Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T09:43:51.2619569Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T09:43:51.2623065Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T09:43:51.2624735Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T09:43:51.2626490Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T09:43:51.2627990Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T09:43:51.2629446Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T09:43:51.2630788Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T09:43:51.2632296Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T09:43:51.2634388Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T09:43:51.2635800Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T09:43:51.2637241Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T09:43:51.2638914Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T09:43:51.2640478Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T09:43:51.2641766Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T09:43:51.2643317Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T09:43:51.2644805Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T09:43:51.2646329Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T09:43:51.2647798Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T09:43:51.2649465Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T09:43:51.2650945Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T09:43:51.2652427Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T09:43:51.2653908Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T09:43:51.2655318Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T09:43:51.2656774Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T09:43:51.2658343Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T09:43:51.2659812Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T09:43:51.2661202Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T09:43:51.2662797Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T09:43:51.2664371Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T09:43:51.2665749Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T09:43:51.2667218Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T09:43:51.2668673Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T09:43:51.2670158Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T09:43:51.2671673Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T09:43:51.2673146Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T09:43:51.2674628Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T09:43:51.2676169Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T09:43:51.2677486Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T09:43:51.2678953Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T09:43:51.2680646Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T09:43:51.2682203Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T09:43:51.2683627Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T09:43:51.2684898Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T09:43:51.2686275Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T09:43:51.2687593Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T09:43:51.2688897Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T09:43:51.2690236Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T09:43:51.2691604Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T09:43:51.2693009Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T09:43:51.2694303Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T09:43:51.2695623Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T09:43:51.2696986Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T09:43:51.2698318Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T09:43:51.2699652Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T09:43:51.2700985Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T09:43:51.2702537Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T09:43:51.2703797Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T09:43:51.2705086Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T09:43:51.2706428Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T09:43:51.2707780Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T09:43:51.2709212Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T09:43:51.2710547Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T09:43:51.2711866Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T09:43:51.2713247Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T09:43:51.2714775Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T09:43:51.2716425Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T09:43:51.2717873Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T09:43:51.2719613Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T09:43:51.3770635Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T09:43:51.3797629Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:43:51.3801884Z ##[endgroup] 2025-12-04T09:43:51.3802290Z ##[group]Determining the checkout info 2025-12-04T09:43:51.3803139Z ##[endgroup] 2025-12-04T09:43:51.3807025Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T09:43:51.3843515Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T09:43:51.3870591Z ##[group]Checking out the ref 2025-12-04T09:43:51.3873523Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:43:52.4104637Z Updating files: 72% (14640/20121) 2025-12-04T09:43:52.4307351Z Updating files: 73% (14689/20121) 2025-12-04T09:43:52.4552781Z Updating files: 74% (14890/20121) 2025-12-04T09:43:52.5049077Z Updating files: 75% (15091/20121) 2025-12-04T09:43:52.5213683Z Updating files: 76% (15292/20121) 2025-12-04T09:43:52.5371661Z Updating files: 77% (15494/20121) 2025-12-04T09:43:52.5591469Z Updating files: 78% (15695/20121) 2025-12-04T09:43:52.5862886Z Updating files: 79% (15896/20121) 2025-12-04T09:43:52.6179297Z Updating files: 80% (16097/20121) 2025-12-04T09:43:52.6468046Z Updating files: 81% (16299/20121) 2025-12-04T09:43:52.6699147Z Updating files: 82% (16500/20121) 2025-12-04T09:43:52.6876846Z Updating files: 83% (16701/20121) 2025-12-04T09:43:52.7043179Z Updating files: 84% (16902/20121) 2025-12-04T09:43:52.7226594Z Updating files: 85% (17103/20121) 2025-12-04T09:43:52.7402085Z Updating files: 86% (17305/20121) 2025-12-04T09:43:52.7564538Z Updating files: 87% (17506/20121) 2025-12-04T09:43:52.7705457Z Updating files: 88% (17707/20121) 2025-12-04T09:43:52.7865660Z Updating files: 89% (17908/20121) 2025-12-04T09:43:52.8057699Z Updating files: 90% (18109/20121) 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You can look around, make experimental 2025-12-04T09:43:53.0081005Z changes and commit them, and you can discard any commits you make in this 2025-12-04T09:43:53.0081501Z state without impacting any branches by switching back to a branch. 2025-12-04T09:43:53.0081777Z 2025-12-04T09:43:53.0081964Z If you want to create a new branch to retain commits you create, you may 2025-12-04T09:43:53.0082416Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T09:43:53.0082675Z 2025-12-04T09:43:53.0082798Z git switch -c 2025-12-04T09:43:53.0082970Z 2025-12-04T09:43:53.0083076Z Or undo this operation with: 2025-12-04T09:43:53.0083235Z 2025-12-04T09:43:53.0083319Z git switch - 2025-12-04T09:43:53.0083449Z 2025-12-04T09:43:53.0083660Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T09:43:53.0083965Z 2025-12-04T09:43:53.0086328Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T09:43:53.0213045Z ##[endgroup] 2025-12-04T09:43:53.0213457Z ##[group]Setting up auth for fetching submodules 2025-12-04T09:43:53.0220301Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T09:43:53.0272251Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T09:43:53.0302054Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T09:43:53.0331208Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T09:43:53.0358171Z ##[endgroup] 2025-12-04T09:43:53.0358624Z ##[group]Fetching submodules 2025-12-04T09:43:53.0362311Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T09:43:53.0751834Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T09:43:53.1109140Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T09:43:53.1112216Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T09:43:53.1116238Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T09:43:53.1120554Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T09:43:53.1124643Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T09:43:53.1128847Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T09:43:53.1133523Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T09:43:53.1137985Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T09:43:53.1142808Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T09:43:53.1147362Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T09:43:53.1152499Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T09:43:53.1157112Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T09:43:53.1162033Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T09:43:53.1166816Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T09:43:53.1171797Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T09:43:53.1177854Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T09:43:53.1185401Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T09:43:53.1190517Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T09:43:53.1196044Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:43:53.1201250Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T09:43:53.1206793Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T09:43:53.1212174Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T09:43:53.1218050Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T09:43:53.1224154Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T09:43:53.1229922Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T09:43:53.1235766Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T09:43:53.1242043Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T09:43:53.1247856Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T09:43:53.1254147Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T09:43:53.1260447Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T09:43:53.1267083Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T09:43:53.1273486Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T09:43:53.1280278Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T09:43:53.1289945Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T09:43:53.1296913Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T09:43:53.1303917Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T09:43:53.1310545Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T09:43:53.1349397Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T09:43:53.3593843Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T09:43:53.3595121Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T09:43:53.3596024Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T09:43:53.3625408Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T09:43:55.8826410Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T09:43:55.8827664Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T09:43:55.8828784Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T09:43:55.8829792Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T09:43:55.8830817Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T09:43:55.8831801Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T09:43:55.8832700Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T09:43:55.8833567Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T09:43:55.8834433Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T09:43:55.8835343Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T09:43:55.8836275Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T09:43:55.8837185Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T09:43:55.8838091Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T09:43:55.8886339Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T09:43:56.2431615Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T09:43:56.2432963Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T09:43:56.2434165Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T09:43:56.2435322Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T09:43:56.3321135Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T09:43:56.7483819Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T09:43:56.7496082Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T09:44:07.6423080Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T09:44:07.6424110Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T09:44:07.6425015Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T09:44:07.6425893Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T09:44:07.6426768Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T09:44:07.6427905Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T09:44:07.6428856Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T09:44:07.7424507Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T09:44:14.9184145Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T09:44:14.9185276Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T09:44:14.9187064Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T09:44:14.9388503Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T09:44:14.9554557Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T09:44:14.9681688Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T09:44:15.0029030Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T09:44:15.0982938Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T09:44:15.1532995Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T09:44:16.0773770Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T09:44:16.2768316Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T09:44:16.2793513Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:44:16.2832191Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T09:44:20.7995062Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T09:44:20.8293178Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T09:44:21.2631674Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T09:44:21.3172378Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T09:44:21.4207423Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T09:44:21.4752836Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T09:44:22.2206010Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T09:44:22.4078683Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T09:44:22.4108017Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T09:44:22.4111391Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:44:22.4115006Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:44:22.4119049Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T09:44:22.4123097Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T09:44:22.4127190Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:44:22.4131109Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T09:44:22.4166657Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T09:44:23.5312601Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T09:44:23.5313835Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T09:44:23.5315103Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T09:44:23.6312801Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T09:44:27.0856593Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T09:44:27.1858034Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T09:44:29.2945264Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T09:44:29.7318632Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T09:44:29.8384118Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T09:44:30.5709593Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T09:44:30.6226836Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T09:44:30.6387713Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T09:44:30.7603710Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T09:44:30.8486163Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T09:44:30.8510725Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:44:30.8514485Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:44:30.8547857Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T09:44:34.8088552Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T09:44:35.1179937Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T09:44:35.7754824Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T09:44:35.9498483Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T09:44:35.9829753Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T09:44:36.0268557Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T09:44:36.0603891Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T09:44:36.1096879Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T09:44:36.1257772Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T09:44:36.1280390Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T09:44:36.1311908Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T09:44:52.9421820Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T09:44:52.9683080Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T09:44:53.0573583Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T09:44:53.0601078Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:44:53.0604785Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:44:53.0608499Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:44:53.0642459Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T09:44:53.7210534Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T09:44:54.1935171Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T09:44:54.2891511Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T09:44:54.2913977Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:44:54.2917598Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:44:54.2921849Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:44:54.2925812Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:44:54.2929946Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:44:54.2934093Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:44:54.2938553Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:44:54.2943033Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:44:54.2947439Z 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' 2025-12-04T09:44:54.2983758Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T09:44:56.1855322Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T09:44:56.1856930Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T09:44:56.1858454Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T09:44:56.1859871Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T09:44:56.1861627Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T09:44:56.1863094Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T09:44:56.1864513Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T09:44:56.2855095Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T09:45:00.7443924Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T09:45:00.7682231Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T09:45:00.8096082Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T09:45:00.8270719Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T09:45:00.8290420Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 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(https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:45:05.3355715Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:45:05.3359409Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:45:05.3363434Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:45:05.3367396Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:45:05.3371374Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:45:05.3375490Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:45:05.3379632Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:45:05.3413368Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-12-04T09:45:05.7224418Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-12-04T09:45:05.7225853Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-12-04T09:45:05.7227264Z Cloning into 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:45:20.0931750Z [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" 2025-12-04T09:45:20.1277644Z Entering 'android/libs/fbjni' 2025-12-04T09:45:20.1343052Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-12-04T09:45:20.1363461Z Entering 'third_party/FP16' 2025-12-04T09:45:20.1427069Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-12-04T09:45:20.1448790Z Entering 'third_party/FXdiv' 2025-12-04T09:45:20.1517599Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-12-04T09:45:20.1538037Z Entering 'third_party/NNPACK' 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'third_party/composable_kernel' 2025-12-04T09:45:21.0226063Z Entering 'third_party/cpp-httplib' 2025-12-04T09:45:21.0278813Z Entering 'third_party/cpuinfo' 2025-12-04T09:45:21.0331328Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:45:21.0383992Z Entering 'third_party/cutlass' 2025-12-04T09:45:21.0445619Z Entering 'third_party/fbgemm' 2025-12-04T09:45:21.0502356Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:45:21.0561139Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:45:21.0620875Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:45:21.0672727Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:45:21.0731780Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:45:21.0783413Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:45:21.0834132Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:45:21.0888672Z Entering 'third_party/flash-attention' 2025-12-04T09:45:21.0943064Z Entering 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2025-12-04T09:45:21.1723189Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:45:21.1775454Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:45:21.1831498Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:45:21.1886753Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:45:21.1939177Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:45:21.1995180Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:45:21.2050636Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:45:21.2107784Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:45:21.2158723Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:45:21.2214137Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:45:21.2274151Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:45:21.2324307Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:45:21.2380096Z Entering 'third_party/kleidiai' 2025-12-04T09:45:21.2433993Z Entering 'third_party/mimalloc' 2025-12-04T09:45:21.2485774Z Entering 'third_party/nlohmann' 2025-12-04T09:45:21.2540815Z Entering 'third_party/onnx' 2025-12-04T09:45:21.2606793Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:45:21.2665211Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:45:21.2721854Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:45:21.2772731Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:45:21.2829033Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:45:21.2880559Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:45:21.2935114Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:45:21.2986818Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:45:21.3039044Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:45:21.3088991Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:45:21.3143980Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:45:21.3198023Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:45:21.3270260Z Entering 'third_party/pocketfft' 2025-12-04T09:45:21.3325144Z Entering 'third_party/protobuf' 2025-12-04T09:45:21.3377791Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:45:21.3430892Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:45:21.3485568Z Entering 'third_party/psimd' 2025-12-04T09:45:21.3538733Z Entering 'third_party/pthreadpool' 2025-12-04T09:45:21.3591917Z Entering 'third_party/pybind11' 2025-12-04T09:45:21.3644500Z Entering 'third_party/python-peachpy' 2025-12-04T09:45:21.3697651Z Entering 'third_party/sleef' 2025-12-04T09:45:21.3752640Z Entering 'third_party/tensorpipe' 2025-12-04T09:45:21.3805485Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:45:21.3857458Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:45:21.3910222Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:45:21.3960842Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:45:21.4010999Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:45:21.4099494Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T09:45:21.4457363Z Entering 'android/libs/fbjni' 2025-12-04T09:45:21.4511140Z Entering 'third_party/FP16' 2025-12-04T09:45:21.4563868Z Entering 'third_party/FXdiv' 2025-12-04T09:45:21.4615211Z Entering 'third_party/NNPACK' 2025-12-04T09:45:21.4667585Z Entering 'third_party/NVTX' 2025-12-04T09:45:21.4723494Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:45:21.4774711Z Entering 'third_party/XNNPACK' 2025-12-04T09:45:21.4841749Z Entering 'third_party/aiter' 2025-12-04T09:45:21.4893388Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:45:21.4954332Z Entering 'third_party/benchmark' 2025-12-04T09:45:21.5006096Z Entering 'third_party/composable_kernel' 2025-12-04T09:45:21.5067888Z Entering 'third_party/cpp-httplib' 2025-12-04T09:45:21.5122573Z Entering 'third_party/cpuinfo' 2025-12-04T09:45:21.5174355Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:45:21.5228250Z Entering 'third_party/cutlass' 2025-12-04T09:45:21.5290879Z Entering 'third_party/fbgemm' 2025-12-04T09:45:21.5345277Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:45:21.5397771Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:45:21.5460655Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:45:21.5512554Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:45:21.5571100Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:45:21.5622237Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:45:21.5673106Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:45:21.5727621Z Entering 'third_party/flash-attention' 2025-12-04T09:45:21.5781816Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:45:21.5839662Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:45:21.5901509Z Entering 'third_party/flatbuffers' 2025-12-04T09:45:21.5957097Z Entering 'third_party/fmt' 2025-12-04T09:45:21.6012444Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:45:21.6064324Z Entering 'third_party/gloo' 2025-12-04T09:45:21.6117232Z Entering 'third_party/googletest' 2025-12-04T09:45:21.6168893Z Entering 'third_party/ideep' 2025-12-04T09:45:21.6219201Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:45:21.6281415Z Entering 'third_party/ittapi' 2025-12-04T09:45:21.6335149Z Entering 'third_party/kineto' 2025-12-04T09:45:21.6387211Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:45:21.6440867Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:45:21.6495050Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:45:21.6547644Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:45:21.6600834Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:45:21.6658266Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:45:21.6715214Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:45:21.6766741Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:45:21.6820229Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:45:21.6874758Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:45:21.6926853Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:45:21.6979416Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:45:21.7036245Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:45:21.7094565Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:45:21.7146332Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:45:21.7200620Z Entering 'third_party/kleidiai' 2025-12-04T09:45:21.7253797Z Entering 'third_party/mimalloc' 2025-12-04T09:45:21.7307909Z Entering 'third_party/nlohmann' 2025-12-04T09:45:21.7362995Z Entering 'third_party/onnx' 2025-12-04T09:45:21.7428824Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:45:21.7485813Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:45:21.7539501Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:45:21.7591626Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:45:21.7643384Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:45:21.7694736Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:45:21.7747468Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:45:21.7798832Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:45:21.7854498Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:45:21.7903120Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:45:21.7956193Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:45:21.8010636Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:45:21.8081558Z Entering 'third_party/pocketfft' 2025-12-04T09:45:21.8134539Z Entering 'third_party/protobuf' 2025-12-04T09:45:21.8189560Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:45:21.8241762Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:45:21.8296378Z Entering 'third_party/psimd' 2025-12-04T09:45:21.8351245Z Entering 'third_party/pthreadpool' 2025-12-04T09:45:21.8404028Z Entering 'third_party/pybind11' 2025-12-04T09:45:21.8458710Z Entering 'third_party/python-peachpy' 2025-12-04T09:45:21.8511003Z Entering 'third_party/sleef' 2025-12-04T09:45:21.8562855Z Entering 'third_party/tensorpipe' 2025-12-04T09:45:21.8614009Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:45:21.8665250Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:45:21.8717743Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:45:21.8773411Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:45:21.8823479Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:45:21.8894854Z ##[endgroup] 2025-12-04T09:45:21.8933707Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T09:45:21.8958375Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:45:21.9068214Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T09:45:21.9068475Z cd "${GITHUB_WORKSPACE}" 2025-12-04T09:45:21.9068696Z # Clean stale submodule dirs 2025-12-04T09:45:21.9068927Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T09:45:21.9069203Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T09:45:21.9069472Z else 2025-12-04T09:45:21.9069689Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T09:45:21.9070116Z fi 2025-12-04T09:45:21.9079970Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:45:21.9080290Z env: 2025-12-04T09:45:21.9080477Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:21.9080691Z NO_SUDO: true 2025-12-04T09:45:21.9080879Z ##[endgroup] 2025-12-04T09:45:21.9461771Z Entering 'android/libs/fbjni' 2025-12-04T09:45:21.9503828Z Entering 'third_party/FP16' 2025-12-04T09:45:21.9542368Z Entering 'third_party/FXdiv' 2025-12-04T09:45:21.9582021Z Entering 'third_party/NNPACK' 2025-12-04T09:45:21.9625754Z Entering 'third_party/NVTX' 2025-12-04T09:45:21.9674610Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:45:21.9713796Z Entering 'third_party/XNNPACK' 2025-12-04T09:45:21.9853929Z Entering 'third_party/aiter' 2025-12-04T09:45:21.9914326Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:45:22.0049751Z Entering 'third_party/benchmark' 2025-12-04T09:45:22.0100204Z Entering 'third_party/composable_kernel' 2025-12-04T09:45:22.0246680Z Entering 'third_party/cpp-httplib' 2025-12-04T09:45:22.0291043Z Entering 'third_party/cpuinfo' 2025-12-04T09:45:22.0338462Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:45:22.0383605Z Entering 'third_party/cutlass' 2025-12-04T09:45:22.0503330Z Entering 'third_party/fbgemm' 2025-12-04T09:45:22.0584191Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:45:22.0624419Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:45:22.0769263Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:45:22.0825822Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:45:22.0943748Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:45:22.0985404Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:45:22.1024601Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:45:22.1082850Z Entering 'third_party/flash-attention' 2025-12-04T09:45:22.1133448Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:45:22.1254843Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:45:22.1360731Z Entering 'third_party/flatbuffers' 2025-12-04T09:45:22.1451862Z Entering 'third_party/fmt' 2025-12-04T09:45:22.1493965Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:45:22.1537669Z Entering 'third_party/gloo' 2025-12-04T09:45:22.1581855Z Entering 'third_party/googletest' 2025-12-04T09:45:22.1625007Z Entering 'third_party/ideep' 2025-12-04T09:45:22.1662087Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:45:22.1762146Z Entering 'third_party/ittapi' 2025-12-04T09:45:22.1805063Z Entering 'third_party/kineto' 2025-12-04T09:45:22.1850193Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:45:22.1905429Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:45:22.1965091Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:45:22.2005200Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:45:22.2047157Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:45:22.2085451Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:45:22.2127094Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:45:22.2169621Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:45:22.2220328Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:45:22.2272746Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:45:22.2313608Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:45:22.2356689Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:45:22.2416337Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:45:22.2466350Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:45:22.2511255Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:45:22.2557714Z Entering 'third_party/kleidiai' 2025-12-04T09:45:22.2609208Z Entering 'third_party/mimalloc' 2025-12-04T09:45:22.2653079Z Entering 'third_party/nlohmann' 2025-12-04T09:45:22.2713780Z Entering 'third_party/onnx' 2025-12-04T09:45:22.3146716Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:45:22.3193810Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:45:22.3264421Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:45:22.3304165Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:45:22.3344745Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:45:22.3382247Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:45:22.3437876Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:45:22.3479890Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:45:22.3524909Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:45:22.3564361Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:45:22.3625327Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:45:22.3676229Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:45:22.4007819Z Entering 'third_party/pocketfft' 2025-12-04T09:45:22.4045306Z Entering 'third_party/protobuf' 2025-12-04T09:45:22.4142905Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:45:22.4182401Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:45:22.4230750Z Entering 'third_party/psimd' 2025-12-04T09:45:22.4270396Z Entering 'third_party/pthreadpool' 2025-12-04T09:45:22.4311001Z Entering 'third_party/pybind11' 2025-12-04T09:45:22.4355309Z Entering 'third_party/python-peachpy' 2025-12-04T09:45:22.4396154Z Entering 'third_party/sleef' 2025-12-04T09:45:22.4438530Z Entering 'third_party/tensorpipe' 2025-12-04T09:45:22.4482402Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:45:22.4524625Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:45:22.4563244Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:45:22.4609776Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:45:22.4651243Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:45:22.4815270Z Prepare all required actions 2025-12-04T09:45:22.4815800Z Getting action download info 2025-12-04T09:45:22.6527495Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T09:45:22.6527727Z env: 2025-12-04T09:45:22.6527887Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:22.6528079Z ##[endgroup] 2025-12-04T09:45:22.6559942Z ##[group]Run set -euo pipefail 2025-12-04T09:45:22.6560204Z set -euo pipefail 2025-12-04T09:45:22.6560421Z function get_ec2_metadata() { 2025-12-04T09:45:22.6560693Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T09:45:22.6561138Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T09:45:22.6561537Z  category=$1 2025-12-04T09:45:22.6561799Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T09:45:22.6562099Z  runner_name_str=i-0af740a9f30bf0f12 2025-12-04T09:45:22.6562378Z  if [[ -f /.inarc ]]; then 2025-12-04T09:45:22.6562617Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T09:45:22.6562895Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T09:45:22.6563232Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T09:45:22.6563530Z  else 2025-12-04T09:45:22.6564119Z  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}" 2025-12-04T09:45:22.6564922Z  fi 2025-12-04T09:45:22.6565083Z } 2025-12-04T09:45:22.6565280Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T09:45:22.6565580Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T09:45:22.6565915Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T09:45:22.6566206Z echo "system info $(uname -a)" 2025-12-04T09:45:22.6574744Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:45:22.6575022Z env: 2025-12-04T09:45:22.6575178Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:22.6575357Z ##[endgroup] 2025-12-04T09:45:22.6742964Z ami-id: ami-08982f1c5bf93d976 2025-12-04T09:45:22.6854197Z instance-id: i-0af740a9f30bf0f12 2025-12-04T09:45:22.6977043Z instance-type: g6.4xlarge 2025-12-04T09:45:22.6990611Z system info Linux ip-10-0-50-147.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 2025-12-04T09:45:22.7011140Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:45:22.7011543Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:45:22.7019906Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:45:22.7020197Z env: 2025-12-04T09:45:22.7020371Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:22.7020562Z ##[endgroup] 2025-12-04T09:45:24.1444679Z Thu Dec 4 09:45:24 2025 2025-12-04T09:45:24.1445109Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:45:24.1445597Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:45:24.1446069Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:45:24.1446577Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:45:24.1447091Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:45:24.1447479Z | | | MIG M. | 2025-12-04T09:45:24.1447778Z |=========================================+========================+======================| 2025-12-04T09:45:24.1521810Z | 0 NVIDIA L4 Off | 00000000:35:00.0 Off | 0 | 2025-12-04T09:45:24.1522559Z | N/A 45C P0 30W / 72W | 0MiB / 23034MiB | 4% Default | 2025-12-04T09:45:24.1522951Z | | | N/A | 2025-12-04T09:45:24.1523592Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:45:24.1523876Z 2025-12-04T09:45:24.1524049Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:45:24.1524458Z | Processes: | 2025-12-04T09:45:24.1524855Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:45:24.1525229Z | ID ID Usage | 2025-12-04T09:45:24.1525535Z |=========================================================================================| 2025-12-04T09:45:24.1526605Z | No running processes found | 2025-12-04T09:45:24.1527192Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:45:24.4828642Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:45:24.4829485Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:45:24.4841115Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:45:24.4841395Z env: 2025-12-04T09:45:24.4841552Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:24.4841746Z ##[endgroup] 2025-12-04T09:45:24.4896250Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T09:45:24.4896569Z if systemctl is-active --quiet docker; then 2025-12-04T09:45:24.4896843Z  echo "Docker daemon is running..."; 2025-12-04T09:45:24.4897084Z else 2025-12-04T09:45:24.4897334Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T09:45:24.4897623Z fi 2025-12-04T09:45:24.4904807Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:45:24.4905149Z env: 2025-12-04T09:45:24.4905303Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:24.4905489Z ##[endgroup] 2025-12-04T09:45:24.4995802Z Docker daemon is running... 2025-12-04T09:45:24.5030171Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:45:24.5030393Z with: 2025-12-04T09:45:24.5030544Z shell: bash 2025-12-04T09:45:24.5030702Z timeout_minutes: 5 2025-12-04T09:45:24.5030871Z max_attempts: 3 2025-12-04T09:45:24.5031036Z retry_wait_seconds: 30 2025-12-04T09:45:24.5032641Z command: AWS_ACCOUNT_ID=$(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 2025-12-04T09:45:24.5034226Z polling_interval_seconds: 1 2025-12-04T09:45:24.5034430Z warning_on_retry: true 2025-12-04T09:45:24.5034616Z continue_on_error: false 2025-12-04T09:45:24.5034805Z env: 2025-12-04T09:45:24.5034961Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:24.5035152Z AWS_RETRY_MODE: standard 2025-12-04T09:45:24.5035332Z AWS_MAX_ATTEMPTS: 5 2025-12-04T09:45:24.5035519Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T09:45:24.5035717Z ##[endgroup] 2025-12-04T09:45:25.5423222Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:45:25.5424449Z Configure a credential helper to remove this warning. See 2025-12-04T09:45:25.5425009Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:45:25.5425374Z 2025-12-04T09:45:25.5425490Z Login Succeeded 2025-12-04T09:45:25.5813357Z Command completed after 1 attempt(s). 2025-12-04T09:45:25.5873810Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:45:25.5874201Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:45:25.5874528Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:45:25.5882851Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:45:25.5883129Z env: 2025-12-04T09:45:25.5883292Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:25.5883488Z ##[endgroup] 2025-12-04T09:45:25.5985330Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:45:25.5985722Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:45:25.5986048Z # shellcheck disable=SC2046 2025-12-04T09:45:25.5986307Z docker stop $(docker ps -q) || true 2025-12-04T09:45:25.5986555Z # Prune all of the docker images 2025-12-04T09:45:25.5986783Z docker system prune -af 2025-12-04T09:45:25.5993823Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:45:25.5994098Z env: 2025-12-04T09:45:25.5994423Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:25.5994610Z ##[endgroup] 2025-12-04T09:45:25.6279239Z "docker stop" requires at least 1 argument. 2025-12-04T09:45:25.6279639Z See 'docker stop --help'. 2025-12-04T09:45:25.6279807Z 2025-12-04T09:45:25.6279974Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T09:45:25.6280232Z 2025-12-04T09:45:25.6280337Z Stop one or more running containers 2025-12-04T09:45:25.6479675Z Total reclaimed space: 0B 2025-12-04T09:45:25.6676202Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T09:45:25.6676591Z with: 2025-12-04T09:45:25.6677169Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:25.6677810Z use-custom-docker-registry: true 2025-12-04T09:45:25.6678040Z docker-build-dir: .ci/docker 2025-12-04T09:45:25.6678259Z docker-build-script: ./build.sh 2025-12-04T09:45:25.6678491Z working-directory: . 2025-12-04T09:45:25.6678749Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:45:25.6679047Z force-push: false 2025-12-04T09:45:25.6679216Z env: 2025-12-04T09:45:25.6679363Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:25.6679550Z ##[endgroup] 2025-12-04T09:45:25.6695508Z ##[group]Run set -ex 2025-12-04T09:45:25.6695719Z set -ex 2025-12-04T09:45:25.6695875Z  2025-12-04T09:45:25.6696180Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T09:45:25.6696638Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T09:45:25.6697033Z # job could then download the pre-built image as usual 2025-12-04T09:45:25.6697506Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T09:45:25.6697943Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T09:45:25.6698180Z else 2025-12-04T09:45:25.6698367Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:45:25.6698683Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:45:25.6698964Z  2025-12-04T09:45:25.6699356Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T09:45:25.6699798Z  exit 0 2025-12-04T09:45:25.6699950Z fi 2025-12-04T09:45:25.6700100Z  2025-12-04T09:45:25.6700338Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T09:45:25.6700756Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T09:45:25.6701120Z  # use it as it is, but first let's extract the tag 2025-12-04T09:45:25.6701539Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T09:45:25.6701920Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:45:25.6702254Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:45:25.6702532Z else 2025-12-04T09:45:25.6702722Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T09:45:25.6702994Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T09:45:25.6703263Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T09:45:25.6703494Z  fi 2025-12-04T09:45:25.6703811Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T09:45:25.6704232Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:45:25.6704670Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:45:25.6705152Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:45:25.6705624Z fi 2025-12-04T09:45:25.6713423Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:45:25.6713717Z env: 2025-12-04T09:45:25.6713875Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:25.6714058Z REPO_NAME: pytorch 2025-12-04T09:45:25.6714745Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:25.6715361Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:45:25.6715564Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T09:45:25.6715826Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:45:25.6716108Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T09:45:25.6716314Z CUSTOM_TAG_PREFIX: 2025-12-04T09:45:25.6716490Z ##[endgroup] 2025-12-04T09:45:25.6744116Z + [[ -d .ci/docker ]] 2025-12-04T09:45:25.6744413Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T09:45:25.6744688Z + [[ true == \t\r\u\e ]] 2025-12-04T09:45:25.6744927Z + echo skip=false 2025-12-04T09:45:25.6745925Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-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* ]] 2025-12-04T09:45:25.6751885Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:25.6752647Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T09:45:25.6778410Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:25.6779223Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:25.6780255Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:25.6803161Z ##[group]Run set +e 2025-12-04T09:45:25.6803386Z set +e 2025-12-04T09:45:25.6803546Z set -x 2025-12-04T09:45:25.6803711Z  2025-12-04T09:45:25.6803873Z login() { 2025-12-04T09:45:25.6804213Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:45:25.6804578Z } 2025-12-04T09:45:25.6804744Z  2025-12-04T09:45:25.6804891Z retry () { 2025-12-04T09:45:25.6805084Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:45:25.6805373Z } 2025-12-04T09:45:25.6805636Z  2025-12-04T09:45:25.6805830Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:45:25.6806049Z  2025-12-04T09:45:25.6806205Z START_TIME=$(date +%s) 2025-12-04T09:45:25.6806410Z # Wait up to 120 minutes 2025-12-04T09:45:25.6806671Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T09:45:25.6807030Z  # Check if image already exists, if it does then skip building it 2025-12-04T09:45:25.6807367Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T09:45:25.6807620Z  exit 0 2025-12-04T09:45:25.6807787Z  fi 2025-12-04T09:45:25.6807932Z  2025-12-04T09:45:25.6808202Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T09:45:25.6808663Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T09:45:25.6809119Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T09:45:25.6809473Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T09:45:25.6809773Z  # It's a Docker build job, let's build the image 2025-12-04T09:45:25.6810026Z  break 2025-12-04T09:45:25.6810344Z  else 2025-12-04T09:45:25.6810585Z  # It's a regular build job, wait for the image to become available 2025-12-04T09:45:25.6810878Z  sleep 300 2025-12-04T09:45:25.6811054Z  fi 2025-12-04T09:45:25.6811201Z done 2025-12-04T09:45:25.6811360Z  2025-12-04T09:45:25.6811613Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T09:45:25.6812128Z # be empty. The default action would be to continue rebuild the image 2025-12-04T09:45:25.6812493Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T09:45:25.6812805Z  # if we're on the base branch then use the parent commit 2025-12-04T09:45:25.6813086Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T09:45:25.6813297Z else 2025-12-04T09:45:25.6813520Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T09:45:25.6813858Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T09:45:25.6814117Z fi 2025-12-04T09:45:25.6814272Z  2025-12-04T09:45:25.6814437Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T09:45:25.6814684Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:45:25.6814908Z  2025-12-04T09:45:25.6815225Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T09:45:25.6815605Z  exit 0 2025-12-04T09:45:25.6815757Z fi 2025-12-04T09:45:25.6815901Z  2025-12-04T09:45:25.6816119Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T09:45:25.6816590Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T09:45:25.6816983Z  exit 1 2025-12-04T09:45:25.6817138Z fi 2025-12-04T09:45:25.6817281Z  2025-12-04T09:45:25.6817526Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T09:45:25.6817985Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T09:45:25.6818387Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T09:45:25.6819181Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T09:45:25.6819728Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T09:45:25.6820047Z fi 2025-12-04T09:45:25.6820200Z  2025-12-04T09:45:25.6820503Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:45:25.6828175Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:45:25.6828442Z env: 2025-12-04T09:45:25.6828599Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:25.6828789Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:45:25.6829035Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:45:25.6829683Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:25.6830466Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:25.6830944Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:45:25.6831221Z DOCKER_PUSH: 2025-12-04T09:45:25.6831387Z ##[endgroup] 2025-12-04T09:45:25.6858211Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:45:25.6858621Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:45:25.6861101Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:45:25.6862485Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:45:26.1625462Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:45:26.1626508Z Configure a credential helper to remove this warning. See 2025-12-04T09:45:26.1627193Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:45:26.1627795Z 2025-12-04T09:45:26.1627952Z Login Succeeded 2025-12-04T09:45:26.1650114Z ++ date +%s 2025-12-04T09:45:26.1662648Z + START_TIME=1764841526 2025-12-04T09:45:26.1665915Z ++ date +%s 2025-12-04T09:45:26.1679351Z + [[ 1764834326 -lt 1764841526 ]] 2025-12-04T09:45:26.1680570Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:26.3967136Z { 2025-12-04T09:45:26.3967527Z "schemaVersion": 2, 2025-12-04T09:45:26.3967935Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T09:45:26.3968328Z "config": { 2025-12-04T09:45:26.3968623Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T09:45:26.3969000Z "size": 34864, 2025-12-04T09:45:26.3969364Z "digest": "sha256:add7313791033822205cdb3cf32096534b2cfaa4855bd48119b59000bfe00301" 2025-12-04T09:45:26.3969767Z }, 2025-12-04T09:45:26.3969942Z "layers": [ 2025-12-04T09:45:26.3970137Z { 2025-12-04T09:45:26.3970427Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:45:26.3970805Z "size": 30447951, 2025-12-04T09:45:26.3971185Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T09:45:26.3971588Z }, 2025-12-04T09:45:26.3971755Z { 2025-12-04T09:45:26.3972035Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:45:26.3972394Z "size": 1554, 2025-12-04T09:45:26.3972743Z "digest": "sha256:0678d56345c994444b77bb70b1177189d23e794748b1d75ffc45d227c7dea94a" 2025-12-04T09:45:26.3973203Z }, 2025-12-04T09:45:26.3973463Z { 2025-12-04T09:45:26.3973745Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:45:26.3974101Z "size": 313275661, 2025-12-04T09:45:26.3974400Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:45:26.4107168Z } 2025-12-04T09:45:26.4107297Z ] 2025-12-04T09:45:26.4107426Z } 2025-12-04T09:45:26.4130506Z ##[group]Run set -eux 2025-12-04T09:45:26.4130719Z set -eux 2025-12-04T09:45:26.4131011Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T09:45:26.4131953Z 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 2025-12-04T09:45:26.4140262Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:45:26.4140534Z env: 2025-12-04T09:45:26.4140683Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:26.4140869Z ##[endgroup] 2025-12-04T09:45:26.4172688Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T09:45:26.4173494Z + jq --raw-output .SecretString 2025-12-04T09:45:26.4174400Z + jq -r .docker_hub_readonly_token 2025-12-04T09:45:26.4175448Z + docker login --username pytorchbot --password-stdin 2025-12-04T09:45:26.9480599Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:45:26.9481696Z Configure a credential helper to remove this warning. See 2025-12-04T09:45:26.9482696Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:45:26.9483364Z 2025-12-04T09:45:26.9497950Z Login Succeeded 2025-12-04T09:45:26.9600066Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:45:26.9600387Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:45:26.9600691Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T09:45:26.9608626Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:45:26.9608904Z env: 2025-12-04T09:45:26.9609074Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:26.9609666Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:26.9610265Z ##[endgroup] 2025-12-04T09:45:26.9640769Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:26.9680392Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T09:45:26.9680756Z with: 2025-12-04T09:45:26.9681317Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:26.9681990Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:45:26.9682267Z env: 2025-12-04T09:45:26.9682417Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:26.9682606Z ##[endgroup] 2025-12-04T09:45:26.9695570Z ##[group]Run set -x 2025-12-04T09:45:26.9695763Z set -x 2025-12-04T09:45:26.9695923Z set +e 2025-12-04T09:45:26.9696075Z  2025-12-04T09:45:26.9696243Z login() { 2025-12-04T09:45:26.9696587Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:45:26.9696964Z } 2025-12-04T09:45:26.9697116Z  2025-12-04T09:45:26.9697288Z retry () { 2025-12-04T09:45:26.9697729Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:45:26.9697972Z } 2025-12-04T09:45:26.9698129Z  2025-12-04T09:45:26.9698297Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:45:26.9698516Z  2025-12-04T09:45:26.9698859Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T09:45:26.9699321Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T09:45:26.9699575Z  2025-12-04T09:45:26.9699724Z set -e 2025-12-04T09:45:26.9699965Z # ignore output since only exit code is used for conditional 2025-12-04T09:45:26.9700473Z # only pull docker image if it's not available locally 2025-12-04T09:45:26.9700845Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T09:45:26.9701273Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T09:45:26.9701506Z fi 2025-12-04T09:45:26.9708435Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:45:26.9708718Z env: 2025-12-04T09:45:26.9708877Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:45:26.9709454Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:26.9710108Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:45:26.9710383Z ##[endgroup] 2025-12-04T09:45:26.9735131Z + set +e 2025-12-04T09:45:26.9735447Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:45:26.9735839Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:45:26.9738630Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:45:26.9739803Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:45:27.4610455Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:45:27.4611332Z Configure a credential helper to remove this warning. See 2025-12-04T09:45:27.4612112Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:45:27.4612638Z 2025-12-04T09:45:27.4613070Z Login Succeeded 2025-12-04T09:45:27.4641028Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:27.4642003Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T09:45:27.6451783Z + IMAGE_SIZE=15091.581844329834 2025-12-04T09:45:27.6452178Z + echo 'Compressed size of image in MB: 15091.581844329834' 2025-12-04T09:45:27.6452564Z + set -e 2025-12-04T09:45:27.6453299Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:27.6454456Z Compressed size of image in MB: 15091.581844329834 2025-12-04T09:45:27.6571032Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:27.6572311Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:45:27.8745646Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T09:45:27.8748470Z 63e5bc7682b8: Pulling fs layer 2025-12-04T09:45:27.8749544Z 0678d56345c9: Pulling fs layer 2025-12-04T09:45:27.8750566Z 45f5c9ddfce7: Pulling fs layer 2025-12-04T09:45:27.8751074Z 086b1df51ac1: Pulling fs layer 2025-12-04T09:45:27.8751484Z fe8a7b64bf98: Pulling fs layer 2025-12-04T09:45:27.8751885Z 7680723e9a57: Pulling fs layer 2025-12-04T09:45:27.8752288Z 9c5027aeeb4e: Pulling fs layer 2025-12-04T09:45:27.8752696Z 9a5652110360: Pulling fs layer 2025-12-04T09:45:27.8753446Z 375c4427e914: Pulling fs layer 2025-12-04T09:45:27.8753839Z a86faaa7dbdd: Pulling fs layer 2025-12-04T09:45:27.8754234Z fb7848686804: Pulling fs layer 2025-12-04T09:45:27.8754635Z 3541df015cdb: Pulling fs layer 2025-12-04T09:45:27.8755165Z 79dc80f426b2: Pulling fs layer 2025-12-04T09:45:27.8755639Z a13fcc1b90bb: Pulling fs layer 2025-12-04T09:45:27.8756034Z 086b1df51ac1: Waiting 2025-12-04T09:45:27.8756339Z 4f4fb700ef54: Pulling fs layer 2025-12-04T09:45:27.8756640Z 7680723e9a57: Waiting 2025-12-04T09:45:27.8756917Z 549db4d6c618: Pulling fs layer 2025-12-04T09:45:27.8757225Z fe8a7b64bf98: Waiting 2025-12-04T09:45:27.8757500Z 5c63528cb580: Pulling fs layer 2025-12-04T09:45:27.8758063Z 75bd83b989a4: Pulling fs layer 2025-12-04T09:45:27.8758378Z de6e78970f51: Pulling fs layer 2025-12-04T09:45:27.8758684Z 9c5027aeeb4e: Waiting 2025-12-04T09:45:27.8758951Z a86faaa7dbdd: Waiting 2025-12-04T09:45:27.8759220Z fb7848686804: Waiting 2025-12-04T09:45:27.8759480Z 9a5652110360: Waiting 2025-12-04T09:45:27.8759752Z e13ed7c7e473: Pulling fs layer 2025-12-04T09:45:27.8760066Z 6e2949bcb741: Pulling fs layer 2025-12-04T09:45:27.8760373Z 375c4427e914: Waiting 2025-12-04T09:45:27.8760645Z 14d69d9aaec7: Pulling fs layer 2025-12-04T09:45:27.8760955Z 5c02769dd8e5: Pulling fs layer 2025-12-04T09:45:27.8761287Z 5c63528cb580: Waiting 2025-12-04T09:45:27.8761544Z 75bd83b989a4: Waiting 2025-12-04T09:45:27.8761800Z 4f4fb700ef54: Waiting 2025-12-04T09:45:27.8762065Z a13fcc1b90bb: Waiting 2025-12-04T09:45:27.8762348Z 35041ce524ac: Pulling fs layer 2025-12-04T09:45:27.8762651Z 549db4d6c618: Waiting 2025-12-04T09:45:27.8762912Z e13ed7c7e473: Waiting 2025-12-04T09:45:27.8763200Z 2fa92dc5885e: Pulling fs layer 2025-12-04T09:45:27.8763511Z 2b85eafbd92a: Pulling fs layer 2025-12-04T09:45:27.8763823Z de6e78970f51: Waiting 2025-12-04T09:45:27.8764116Z ff755a4ddad7: Pulling fs layer 2025-12-04T09:45:27.8764426Z 6e2949bcb741: Waiting 2025-12-04T09:45:27.8764701Z 5c02769dd8e5: Waiting 2025-12-04T09:45:27.8764971Z 2fa92dc5885e: Waiting 2025-12-04T09:45:27.8765257Z 09eb41bdf42d: Pulling fs layer 2025-12-04T09:45:27.8765595Z 11ede4d59e93: Pulling fs layer 2025-12-04T09:45:27.8765912Z 2b85eafbd92a: Waiting 2025-12-04T09:45:27.8766204Z 1283cd8f801a: Pulling fs layer 2025-12-04T09:45:27.8766602Z ff755a4ddad7: Waiting 2025-12-04T09:45:27.8766867Z 024fa855425f: Pulling fs layer 2025-12-04T09:45:27.8767066Z 14d69d9aaec7: Waiting 2025-12-04T09:45:27.8767230Z 1283cd8f801a: Waiting 2025-12-04T09:45:27.8767407Z 303e6747a62e: Pulling fs layer 2025-12-04T09:45:27.8767647Z 3017cdf4838b: Pulling fs layer 2025-12-04T09:45:27.8767834Z 6b6cd1c358e8: Pulling fs layer 2025-12-04T09:45:27.8768060Z 35041ce524ac: Waiting 2025-12-04T09:45:27.8768236Z b2dd04501124: Pulling fs layer 2025-12-04T09:45:27.8768412Z 024fa855425f: Waiting 2025-12-04T09:45:27.8768587Z 3541df015cdb: Waiting 2025-12-04T09:45:27.8768762Z 55adc51fe589: Pulling fs layer 2025-12-04T09:45:27.8768943Z 3017cdf4838b: Waiting 2025-12-04T09:45:27.8769285Z b2dd04501124: Waiting 2025-12-04T09:45:27.8769460Z a43ca0e4b837: Pulling fs layer 2025-12-04T09:45:27.8769637Z 303e6747a62e: Waiting 2025-12-04T09:45:27.8769801Z 6b6cd1c358e8: Waiting 2025-12-04T09:45:27.8769968Z 09eb41bdf42d: Waiting 2025-12-04T09:45:27.8770132Z b7212f17fd14: Pulling fs layer 2025-12-04T09:45:27.8770338Z 083e42cac090: Pulling fs layer 2025-12-04T09:45:27.8770522Z 79dc80f426b2: Waiting 2025-12-04T09:45:27.8770684Z a43ca0e4b837: Waiting 2025-12-04T09:45:27.8770849Z 0a00b784a4aa: Pulling fs layer 2025-12-04T09:45:27.8771032Z b7212f17fd14: Waiting 2025-12-04T09:45:27.8771201Z 083e42cac090: Waiting 2025-12-04T09:45:27.8771365Z c6173c779f7b: Pulling fs layer 2025-12-04T09:45:27.8771553Z 0a00b784a4aa: Waiting 2025-12-04T09:45:27.8771722Z ed3d1e3387b9: Pulling fs layer 2025-12-04T09:45:27.8771899Z c6173c779f7b: Waiting 2025-12-04T09:45:27.8772060Z 55adc51fe589: Waiting 2025-12-04T09:45:27.8772226Z b29343478586: Pulling fs layer 2025-12-04T09:45:27.8772410Z c6f0520487fb: Pulling fs layer 2025-12-04T09:45:27.8772598Z 148171691cd4: Pulling fs layer 2025-12-04T09:45:27.8772785Z 2c666d30ed77: Pulling fs layer 2025-12-04T09:45:27.8772957Z ed3d1e3387b9: Waiting 2025-12-04T09:45:27.8773123Z 5d8d3a0a98e0: Pulling fs layer 2025-12-04T09:45:27.8773302Z c6f0520487fb: Waiting 2025-12-04T09:45:27.8773451Z 2c666d30ed77: Waiting 2025-12-04T09:45:27.8773618Z b06bafce9e81: Pulling fs layer 2025-12-04T09:45:27.8773798Z 148171691cd4: Waiting 2025-12-04T09:45:27.8773957Z 5d8d3a0a98e0: Waiting 2025-12-04T09:45:27.8774111Z b06bafce9e81: Waiting 2025-12-04T09:45:27.8774280Z 15e0d7e4590d: Pulling fs layer 2025-12-04T09:45:27.8774458Z b29343478586: Waiting 2025-12-04T09:45:27.8774617Z a514bd1add31: Pulling fs layer 2025-12-04T09:45:27.8774890Z 15e0d7e4590d: Waiting 2025-12-04T09:45:27.8775054Z 57b84ee60002: Pulling fs layer 2025-12-04T09:45:27.8775285Z a514bd1add31: Waiting 2025-12-04T09:45:27.8775471Z b8babeff6d81: Pulling fs layer 2025-12-04T09:45:27.8775698Z 57b84ee60002: Waiting 2025-12-04T09:45:27.8775860Z 83779ddf6a85: Pulling fs layer 2025-12-04T09:45:27.8776044Z b8babeff6d81: Waiting 2025-12-04T09:45:27.8776251Z 8b7620c0d736: Pulling fs layer 2025-12-04T09:45:27.8776435Z 3bcfa090e4ef: Pulling fs layer 2025-12-04T09:45:27.8776621Z 83779ddf6a85: Waiting 2025-12-04T09:45:27.8776787Z eb0504ec4d92: Pulling fs layer 2025-12-04T09:45:27.8776974Z 15d0fec09d7b: Pulling fs layer 2025-12-04T09:45:27.8777181Z cca81fcc62a9: Pulling fs layer 2025-12-04T09:45:27.8777369Z 8b7620c0d736: Waiting 2025-12-04T09:45:27.8777524Z 15d0fec09d7b: Waiting 2025-12-04T09:45:27.8777696Z cca81fcc62a9: Waiting 2025-12-04T09:45:27.8777861Z 3bcfa090e4ef: Waiting 2025-12-04T09:45:27.8778024Z eb0504ec4d92: Waiting 2025-12-04T09:45:27.8778186Z b0b8f9b5c6ab: Pulling fs layer 2025-12-04T09:45:27.8778384Z 0606ca4d47a8: Pulling fs layer 2025-12-04T09:45:27.8778578Z 2f80a4e1b3b9: Pulling fs layer 2025-12-04T09:45:27.8778772Z 35c916fb1bd0: Pulling fs layer 2025-12-04T09:45:27.8778962Z 195537b7dafc: Pulling fs layer 2025-12-04T09:45:27.8779153Z b0b8f9b5c6ab: Waiting 2025-12-04T09:45:27.8779316Z dc454fd3967e: Pulling fs layer 2025-12-04T09:45:27.8779507Z 701b34f115fa: Pulling fs layer 2025-12-04T09:45:27.8779689Z 35c916fb1bd0: Waiting 2025-12-04T09:45:27.8779850Z 39cefc00ffed: Pulling fs layer 2025-12-04T09:45:27.8780038Z 0606ca4d47a8: Waiting 2025-12-04T09:45:27.8780201Z dc454fd3967e: Waiting 2025-12-04T09:45:27.8780360Z 701b34f115fa: Waiting 2025-12-04T09:45:27.8780521Z 195537b7dafc: Waiting 2025-12-04T09:45:27.8780693Z 6ae51eb61a32: Pulling fs layer 2025-12-04T09:45:27.8780879Z 39cefc00ffed: Waiting 2025-12-04T09:45:27.8781044Z 1fd5341e66df: Pulling fs layer 2025-12-04T09:45:27.8781330Z 6ae51eb61a32: Waiting 2025-12-04T09:45:27.8791529Z 2f80a4e1b3b9: Waiting 2025-12-04T09:45:27.8791803Z 72a7c87e35e4: Pulling fs layer 2025-12-04T09:45:27.8792019Z ec36862ac98e: Pulling fs layer 2025-12-04T09:45:27.8792243Z 05ddbf246e8a: Pulling fs layer 2025-12-04T09:45:27.8792437Z ec36862ac98e: Waiting 2025-12-04T09:45:27.8792615Z 05ddbf246e8a: Waiting 2025-12-04T09:45:27.8792913Z 72a7c87e35e4: Waiting 2025-12-04T09:45:27.9432957Z 0678d56345c9: Verifying Checksum 2025-12-04T09:45:27.9433429Z 0678d56345c9: Download complete 2025-12-04T09:45:28.0016852Z 086b1df51ac1: Verifying Checksum 2025-12-04T09:45:28.0017367Z 086b1df51ac1: Download complete 2025-12-04T09:45:28.0863811Z fe8a7b64bf98: Verifying Checksum 2025-12-04T09:45:28.0864322Z fe8a7b64bf98: Download complete 2025-12-04T09:45:28.1771440Z 7680723e9a57: Download complete 2025-12-04T09:45:28.2455759Z 63e5bc7682b8: Verifying Checksum 2025-12-04T09:45:28.2456398Z 63e5bc7682b8: Download complete 2025-12-04T09:45:28.2659006Z 9c5027aeeb4e: Verifying Checksum 2025-12-04T09:45:28.2659452Z 9c5027aeeb4e: Download complete 2025-12-04T09:45:28.3711620Z 9a5652110360: Verifying Checksum 2025-12-04T09:45:28.3712038Z 9a5652110360: Download complete 2025-12-04T09:45:28.4615559Z 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sha256:ba21003510dba4bdeed83df81a56fa468e0ee1b612a9445ae1f402a280804f97 2025-12-04T09:50:10.3020869Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:50:10.3153625Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:50:10.3231580Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:50:10.3232444Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:50:10.3242656Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:50:10.3242936Z env: 2025-12-04T09:50:10.3243098Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:50:10.3243284Z ##[endgroup] 2025-12-04T09:50:10.3413156Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T09:50:10.3413636Z with: 2025-12-04T09:50:10.3413875Z driver-version: 580.82.07 2025-12-04T09:50:10.3414216Z env: 2025-12-04T09:50:10.3414519Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:50:10.3414860Z ##[endgroup] 2025-12-04T09:50:10.3469756Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:50:10.3470414Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:50:10.3477988Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:50:10.3478262Z env: 2025-12-04T09:50:10.3478421Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:50:10.3478608Z ##[endgroup] 2025-12-04T09:50:10.3539608Z ##[group]Run set -euo pipefail 2025-12-04T09:50:10.3539853Z set -euo pipefail 2025-12-04T09:50:10.3540084Z  2025-12-04T09:50:10.3540257Z has_gpu=false 2025-12-04T09:50:10.3540446Z devices="" 2025-12-04T09:50:10.3540617Z  2025-12-04T09:50:10.3540815Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T09:50:10.3541486Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:50:10.3541766Z  has_gpu=true 2025-12-04T09:50:10.3541980Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:50:10.3542201Z  fi 2025-12-04T09:50:10.3542360Z fi 2025-12-04T09:50:10.3542508Z  2025-12-04T09:50:10.3542665Z if [ "$has_gpu" = false ]; then 2025-12-04T09:50:10.3542942Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:50:10.3543213Z  has_gpu=true 2025-12-04T09:50:10.3543421Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:50:10.3543656Z  fi 2025-12-04T09:50:10.3543810Z fi 2025-12-04T09:50:10.3543965Z  2025-12-04T09:50:10.3544180Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T09:50:10.3544551Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:50:10.3544844Z  has_gpu=true 2025-12-04T09:50:10.3545044Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:50:10.3545265Z  fi 2025-12-04T09:50:10.3545412Z fi 2025-12-04T09:50:10.3545553Z  2025-12-04T09:50:10.3545776Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T09:50:10.3546155Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T09:50:10.3553281Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:50:10.3553556Z env: 2025-12-04T09:50:10.3553716Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:50:10.3553901Z ##[endgroup] 2025-12-04T09:50:12.0056261Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:50:12.0056566Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:50:12.0056874Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T09:50:12.0057519Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T09:50:12.0057912Z else 2025-12-04T09:50:12.0058113Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T09:50:12.0058354Z fi 2025-12-04T09:50:12.0067623Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:50:12.0067900Z env: 2025-12-04T09:50:12.0068080Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:50:12.0068270Z HAS_NVIDIA: true 2025-12-04T09:50:12.0068439Z ##[endgroup] 2025-12-04T09:50:12.0202235Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2025-12-04T09:50:12.0202533Z with: 2025-12-04T09:50:12.0202684Z timeout_minutes: 10 2025-12-04T09:50:12.0202877Z max_attempts: 3 2025-12-04T09:50:12.0222445Z command: # Is it disgusting to have a full shell script here in this github action? Sure # But is it the best way to make it so that this action relies on nothing else? Absolutely set -eou pipefail DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID) DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run" install_nvidia_docker2_amzn2() { ( set -x # Needed for yum-config-manager sudo yum install -y yum-utils if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo" else # Amazon Linux 2 YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo" fi sudo yum-config-manager --add-repo "${YUM_REPO_URL}" sudo yum install -y \ nvidia-container-toolkit-1.17.8 \ libnvidia-container-tools-1.17.8 \ libnvidia-container1-1.17.8 \ nvidia-container-toolkit-base-1.17.8 sudo systemctl restart docker ) } install_nvidia_docker2_ubuntu20() { ( set -x # Install nvidia-driver package if not installed status="$(dpkg-query -W --showformat='${db:Status-Status}' nvidia-docker2 2>&1)" if [ ! $? = 0 ] || [ ! "$status" = installed ]; then sudo apt-get install -y nvidia-container-toolkit-1.17.8 sudo systemctl restart docker fi ) } pre_install_nvidia_driver_amzn2() { ( # Purge any nvidia driver installed from RHEL repo sudo yum remove -y nvidia-driver-latest-dkms ) } install_nvidia_driver_common() { ( # Try to gather more information about the runner and its existing NVIDIA driver if any echo "Before installing NVIDIA driver" lspci lsmod modinfo nvidia || true HAS_NVIDIA_DRIVER=0 # Check if NVIDIA driver has already been installed if [ -x "$(command -v nvidia-smi)" ]; then set +e # The driver exists, check its version next. Also check only the first GPU if there are more than one of them # so that the same driver version is not print over multiple lines INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing" elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing" # Turn off persistent mode so that the installation script can unload the kernel module sudo killall nvidia-persistenced || true else HAS_NVIDIA_DRIVER=1 echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation" fi set -e fi if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then # CAUTION: this may need to be updated in future if [ "${DISTRIBUTION}" != ubuntu20.04 ]; then sudo yum groupinstall -y "Development Tools" # ensure our kernel install is the same as our underlying kernel, # groupinstall "Development Tools" has a habit of mismatching kernel headers sudo yum install -y "kernel-devel-uname-r == $(uname -r)" sudo modprobe backlight fi sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN" set +e sudo /bin/bash /tmp/nvidia_driver -s --no-drm NVIDIA_INSTALLATION_STATUS=$? RESET_GPU=0 if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then sudo cat /var/log/nvidia-installer.log # Fail to install NVIDIA driver, try to reset the GPU RESET_GPU=1 elif [ -x "$(command -v nvidia-smi)" ]; then # Check again if nvidia-smi works even if the driver installation completes successfully INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then RESET_GPU=1 fi fi if [ "$RESET_GPU" -eq 1 ]; then NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1) # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388 for PCI_ID in $NVIDIA_DEVICES; do DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable) echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)" # This requires sudo permission of course echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset sleep 1 done fi sudo rm -fv /tmp/nvidia_driver set -e fi ) } post_install_nvidia_driver_common() { ( sudo modprobe nvidia || true echo "After installing NVIDIA driver" lspci lsmod modinfo nvidia || true ( set +e nvidia-smi # NB: Annoyingly, nvidia-smi command returns successfully with return code 0 even in # the case where the driver has already crashed as it still can get the driver version # and some basic information like the bus ID. However, the rest of the information # would be missing (ERR!), for example: # # +-----------------------------------------------------------------------------+ # | NVIDIA-SMI 525.89.02 Driver Version: 525.89.02 CUDA Version: 12.0 | # |-------------------------------+----------------------+----------------------+ # | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | # | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | # | | | MIG M. | # |===============================+======================+======================| # | 0 ERR! Off | 00000000:00:1E.0 Off | ERR! | # |ERR! ERR! ERR! ERR! / ERR! | 4184MiB / 23028MiB | ERR! Default | # | | | ERR! | # +-------------------------------+----------------------+----------------------+ # # +-----------------------------------------------------------------------------+ # | Processes: | # | GPU GI CI PID Type Process name GPU Memory | # | ID ID Usage | # |=============================================================================| # +-----------------------------------------------------------------------------+ # # This should be reported as a failure instead as it will guarantee to fail when # Docker tries to run with --gpus all # # So, the correct check here is to query one of the missing piece of info like # GPU name, so that the command can fail accordingly nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 NVIDIA_SMI_STATUS=$? # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285 if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}" else echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}" exit ${NVIDIA_SMI_STATUS} fi set -e ) ) } install_nvidia_driver_amzn2() { ( set -x pre_install_nvidia_driver_amzn2 install_nvidia_driver_common post_install_nvidia_driver_common ) } install_nvidia_driver_ubuntu20() { ( set -x install_nvidia_driver_common post_install_nvidia_driver_common ) } echo "== Installing nvidia driver ${DRIVER_FN} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_driver_amzn2 ;; ubuntu20.04) install_nvidia_driver_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac # Install container toolkit based on distribution echo "== Installing nvidia container toolkit for ${DISTRIBUTION} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_docker2_amzn2 ;; ubuntu20.04) install_nvidia_docker2_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac # Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with # more than one GPUs. This just needs to be run once. The command fails # on subsequent runs and complains that the mode is already on, but that's # ok sudo nvidia-persistenced || true # This should show persistence mode ON nvidia-smi # check if the container-toolkit is correctly installed and CUDA is available inside a container docker run --rm -t --gpus=all public.ecr.aws/docker/library/python:3.13 nvidia-smi 2025-12-04T09:50:12.0241477Z retry_wait_seconds: 10 2025-12-04T09:50:12.0241679Z polling_interval_seconds: 1 2025-12-04T09:50:12.0241877Z warning_on_retry: true 2025-12-04T09:50:12.0242071Z continue_on_error: false 2025-12-04T09:50:12.0242254Z env: 2025-12-04T09:50:12.0242400Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:50:12.0242588Z HAS_NVIDIA_GPU: true 2025-12-04T09:50:12.0242817Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:50:12.0243079Z DRIVER_VERSION: 580.82.07 2025-12-04T09:50:12.0243269Z ##[endgroup] 2025-12-04T09:50:12.1378657Z == Installing nvidia driver NVIDIA-Linux-x86_64-580.82.07.run == 2025-12-04T09:50:12.1379742Z + pre_install_nvidia_driver_amzn2 2025-12-04T09:50:12.1381647Z + sudo yum remove -y nvidia-driver-latest-dkms 2025-12-04T09:50:12.7584034Z No match for argument: nvidia-driver-latest-dkms 2025-12-04T09:50:12.7584480Z No packages marked for removal. 2025-12-04T09:50:12.7642009Z Dependencies resolved. 2025-12-04T09:50:12.7651744Z Nothing to do. 2025-12-04T09:50:12.7652803Z Complete! 2025-12-04T09:50:12.8308752Z + install_nvidia_driver_common 2025-12-04T09:50:12.8311767Z + echo 'Before installing NVIDIA driver' 2025-12-04T09:50:12.8313769Z Before installing NVIDIA driver 2025-12-04T09:50:12.8315423Z + lspci 2025-12-04T09:50:12.8810730Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:50:12.8811246Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:50:12.8811838Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:50:12.8812343Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:50:12.8812804Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:50:12.8813244Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8813581Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8813911Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8814220Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8814531Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8815082Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8815398Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8815700Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8816001Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8816326Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8816589Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8816829Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8817062Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8817301Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8817541Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8817780Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8818012Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8818251Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8818495Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8818730Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8819224Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8819468Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8819879Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8820135Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8820375Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8820619Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8820859Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8821104Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8821440Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8821679Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8821921Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8822168Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8822407Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8822643Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8822889Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8823146Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8823388Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8823631Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8823874Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8824110Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8824353Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8824604Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8824849Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8825087Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8825335Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8825663Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:50:12.8825987Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8826242Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8826510Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8826824Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:50:12.8827150Z 34:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:12.8827439Z 35:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1) 2025-12-04T09:50:12.8827704Z + lsmod 2025-12-04T09:50:12.8862012Z Module Size Used by 2025-12-04T09:50:12.8862316Z nvidia_uvm 1925120 0 2025-12-04T09:50:12.8862578Z nvidia 14286848 1 nvidia_uvm 2025-12-04T09:50:12.8862844Z drm 602112 1 nvidia 2025-12-04T09:50:12.8863127Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:50:12.8863605Z backlight 24576 1 drm 2025-12-04T09:50:12.8863875Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:50:12.8864157Z xt_conntrack 16384 1 2025-12-04T09:50:12.8864400Z nft_chain_nat 16384 3 2025-12-04T09:50:12.8864628Z xt_MASQUERADE 20480 1 2025-12-04T09:50:12.8864897Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:50:12.8865213Z nf_conntrack_netlink 57344 0 2025-12-04T09:50:12.8865583Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:50:12.8866007Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:50:12.8866295Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:50:12.8866529Z xfrm_user 57344 1 2025-12-04T09:50:12.8866722Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:50:12.8866927Z xt_addrtype 16384 2 2025-12-04T09:50:12.8867108Z nft_compat 20480 4 2025-12-04T09:50:12.8867334Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:50:12.8867632Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:50:12.8867914Z br_netfilter 36864 0 2025-12-04T09:50:12.8868113Z bridge 323584 1 br_netfilter 2025-12-04T09:50:12.8868418Z stp 16384 1 bridge 2025-12-04T09:50:12.8868630Z llc 16384 2 bridge,stp 2025-12-04T09:50:12.8868838Z overlay 167936 0 2025-12-04T09:50:12.8869012Z tls 139264 0 2025-12-04T09:50:12.8869195Z nls_ascii 16384 1 2025-12-04T09:50:12.8869375Z nls_cp437 20480 1 2025-12-04T09:50:12.8869551Z vfat 24576 1 2025-12-04T09:50:12.8869725Z fat 86016 1 vfat 2025-12-04T09:50:12.8869918Z sunrpc 700416 1 2025-12-04T09:50:12.8870095Z ena 184320 0 2025-12-04T09:50:12.8870265Z i8042 45056 0 2025-12-04T09:50:12.8870451Z serio 28672 3 i8042 2025-12-04T09:50:12.8870654Z ghash_clmulni_intel 16384 0 2025-12-04T09:50:12.8870842Z button 24576 0 2025-12-04T09:50:12.8871025Z sch_fq_codel 20480 9 2025-12-04T09:50:12.8871209Z dm_mod 188416 0 2025-12-04T09:50:12.8871384Z fuse 184320 1 2025-12-04T09:50:12.8871567Z loop 36864 0 2025-12-04T09:50:12.8871749Z configfs 57344 1 2025-12-04T09:50:12.8871926Z dmi_sysfs 20480 0 2025-12-04T09:50:12.8872107Z crc32_pclmul 16384 0 2025-12-04T09:50:12.8872299Z crc32c_intel 24576 0 2025-12-04T09:50:12.8872483Z efivarfs 24576 1 2025-12-04T09:50:12.8872661Z + modinfo nvidia 2025-12-04T09:50:12.8881472Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:50:12.8881905Z import_ns: DMA_BUF 2025-12-04T09:50:12.8882147Z alias: char-major-195-* 2025-12-04T09:50:12.8882414Z version: 580.82.07 2025-12-04T09:50:12.8882655Z supported: external 2025-12-04T09:50:12.8882896Z license: Dual MIT/GPL 2025-12-04T09:50:12.8883156Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-12-04T09:50:12.8883461Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-12-04T09:50:12.8883759Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-12-04T09:50:12.8884057Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-12-04T09:50:12.8884399Z alias: of:N*T*Cnvidia,tegra264-display 2025-12-04T09:50:12.8884720Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-12-04T09:50:12.8885022Z alias: of:N*T*Cnvidia,tegra234-display 2025-12-04T09:50:12.8885327Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:50:12.8885630Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:50:12.8885921Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:50:12.8886193Z depends: i2c-core,drm 2025-12-04T09:50:12.8886426Z retpoline: Y 2025-12-04T09:50:12.8886747Z name: nvidia 2025-12-04T09:50:12.8887020Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:50:12.8887394Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:50:12.8887729Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:50:12.8888037Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:50:12.8888264Z parm: NVreg_RmLogonRC:int 2025-12-04T09:50:12.8888490Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:50:12.8888713Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:50:12.8888951Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:50:12.8889175Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:50:12.8889441Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:50:12.8889720Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:50:12.8889963Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:50:12.8890185Z parm: NVreg_EnableMSI:int 2025-12-04T09:50:12.8890403Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:50:12.8890669Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:50:12.8890958Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:50:12.8891314Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:50:12.8891617Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:50:12.8891916Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:50:12.8892220Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:50:12.8892511Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:50:12.8892756Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:50:12.8893024Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:50:12.8893290Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:50:12.8893548Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:50:12.8893796Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:50:12.8894034Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:50:12.8894267Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:50:12.8894497Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:50:12.8894751Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:50:12.8895006Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:50:12.8895261Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-12-04T09:50:12.8895523Z parm: NVreg_EnableResizableBar:int 2025-12-04T09:50:12.8895762Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:50:12.8896010Z parm: NVreg_EnableNonblockingOpen:int 2025-12-04T09:50:12.8896264Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-12-04T09:50:12.8896508Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:50:12.8896761Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:50:12.8897000Z parm: NVreg_RmMsg:charp 2025-12-04T09:50:12.8897213Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:50:12.8897441Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:50:12.8897678Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:50:12.8897905Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:50:12.8898138Z parm: NVreg_RmNvlinkBandwidth:charp 2025-12-04T09:50:12.8898394Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-12-04T09:50:12.8898647Z parm: NVreg_ImexChannelCount:int 2025-12-04T09:50:12.8898887Z parm: NVreg_CreateImexChannel0:int 2025-12-04T09:50:12.8899138Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-12-04T09:50:12.8899381Z parm: rm_firmware_active:charp 2025-12-04T09:50:12.8899592Z + HAS_NVIDIA_DRIVER=0 2025-12-04T09:50:12.8899768Z ++ command -v nvidia-smi 2025-12-04T09:50:12.8899962Z + '[' -x /usr/bin/nvidia-smi ']' 2025-12-04T09:50:12.8900151Z + set +e 2025-12-04T09:50:12.8900471Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-12-04T09:50:14.5242539Z + INSTALLED_DRIVER_VERSION=580.82.07 2025-12-04T09:50:14.5242920Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:50:14.5243879Z + '[' 0 -ne 0 ']' 2025-12-04T09:50:14.5244114Z + '[' 580.82.07 '!=' 580.82.07 ']' 2025-12-04T09:50:14.5244403Z + HAS_NVIDIA_DRIVER=1 2025-12-04T09:50:14.5244817Z + echo 'NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation' 2025-12-04T09:50:14.5245297Z + set -e 2025-12-04T09:50:14.5245492Z + '[' 1 -eq 0 ']' 2025-12-04T09:50:14.5245871Z NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation 2025-12-04T09:50:14.5246302Z + post_install_nvidia_driver_common 2025-12-04T09:50:14.5248979Z + sudo modprobe nvidia 2025-12-04T09:50:14.6315577Z + echo 'After installing NVIDIA driver' 2025-12-04T09:50:14.6315913Z + lspci 2025-12-04T09:50:14.6316123Z After installing NVIDIA driver 2025-12-04T09:50:14.6490292Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:50:14.6490838Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:50:14.6491371Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:50:14.6491886Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:50:14.6492658Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:50:14.6493124Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6493451Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6493772Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6494077Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6494369Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6494696Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6495009Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6495310Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6495608Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6495904Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6496213Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6496522Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6496826Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6497121Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6497410Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6497710Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6498009Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6498260Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6498500Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6498741Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6498981Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6499221Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6499462Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6499706Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6499940Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6500186Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6500426Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6500674Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6500908Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6501153Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6501507Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6501742Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6501982Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6502222Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6502664Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6502938Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6503182Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6503418Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6503663Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6503909Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6504153Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6504389Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6504645Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6504888Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6505126Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6505442Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:50:14.6505766Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6506004Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6506248Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6506560Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:50:14.6506962Z 34:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:50:14.6507242Z 35:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1) 2025-12-04T09:50:14.6507502Z + lsmod 2025-12-04T09:50:14.6528790Z Module Size Used by 2025-12-04T09:50:14.6529077Z nvidia_uvm 1925120 0 2025-12-04T09:50:14.6529332Z nvidia 14286848 1 nvidia_uvm 2025-12-04T09:50:14.6529607Z drm 602112 1 nvidia 2025-12-04T09:50:14.6529891Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:50:14.6530178Z backlight 24576 1 drm 2025-12-04T09:50:14.6530447Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:50:14.6530711Z xt_conntrack 16384 1 2025-12-04T09:50:14.6530948Z nft_chain_nat 16384 3 2025-12-04T09:50:14.6531178Z xt_MASQUERADE 20480 1 2025-12-04T09:50:14.6531452Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:50:14.6531762Z nf_conntrack_netlink 57344 0 2025-12-04T09:50:14.6532143Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:50:14.6532570Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:50:14.6532856Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:50:14.6533116Z xfrm_user 57344 1 2025-12-04T09:50:14.6533357Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:50:14.6533619Z xt_addrtype 16384 2 2025-12-04T09:50:14.6533844Z nft_compat 20480 4 2025-12-04T09:50:14.6534120Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:50:14.6534510Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:50:14.6534856Z br_netfilter 36864 0 2025-12-04T09:50:14.6535114Z bridge 323584 1 br_netfilter 2025-12-04T09:50:14.6535397Z stp 16384 1 bridge 2025-12-04T09:50:14.6535662Z llc 16384 2 bridge,stp 2025-12-04T09:50:14.6535932Z overlay 167936 0 2025-12-04T09:50:14.6536161Z tls 139264 0 2025-12-04T09:50:14.6536386Z nls_ascii 16384 1 2025-12-04T09:50:14.6536601Z nls_cp437 20480 1 2025-12-04T09:50:14.6536822Z vfat 24576 1 2025-12-04T09:50:14.6537050Z fat 86016 1 vfat 2025-12-04T09:50:14.6537285Z sunrpc 700416 1 2025-12-04T09:50:14.6537503Z ena 184320 0 2025-12-04T09:50:14.6537725Z i8042 45056 0 2025-12-04T09:50:14.6537902Z serio 28672 3 i8042 2025-12-04T09:50:14.6538118Z ghash_clmulni_intel 16384 0 2025-12-04T09:50:14.6538316Z button 24576 0 2025-12-04T09:50:14.6538500Z sch_fq_codel 20480 9 2025-12-04T09:50:14.6538841Z dm_mod 188416 0 2025-12-04T09:50:14.6539041Z fuse 184320 1 2025-12-04T09:50:14.6539220Z loop 36864 0 2025-12-04T09:50:14.6539391Z configfs 57344 1 2025-12-04T09:50:14.6539573Z dmi_sysfs 20480 0 2025-12-04T09:50:14.6539753Z crc32_pclmul 16384 0 2025-12-04T09:50:14.6539930Z crc32c_intel 24576 0 2025-12-04T09:50:14.6540112Z efivarfs 24576 1 2025-12-04T09:50:14.6540291Z + modinfo nvidia 2025-12-04T09:50:14.6547587Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:50:14.6547930Z import_ns: DMA_BUF 2025-12-04T09:50:14.6548168Z alias: char-major-195-* 2025-12-04T09:50:14.6548415Z version: 580.82.07 2025-12-04T09:50:14.6548633Z supported: external 2025-12-04T09:50:14.6548860Z license: Dual MIT/GPL 2025-12-04T09:50:14.6549129Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-12-04T09:50:14.6549445Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-12-04T09:50:14.6549738Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-12-04T09:50:14.6550047Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-12-04T09:50:14.6550364Z alias: of:N*T*Cnvidia,tegra264-display 2025-12-04T09:50:14.6550867Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-12-04T09:50:14.6551180Z alias: of:N*T*Cnvidia,tegra234-display 2025-12-04T09:50:14.6551478Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:50:14.6551792Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:50:14.6552092Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:50:14.6552391Z depends: i2c-core,drm 2025-12-04T09:50:14.6552625Z retpoline: Y 2025-12-04T09:50:14.6552827Z name: nvidia 2025-12-04T09:50:14.6553165Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:50:14.6553613Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:50:14.6554027Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:50:14.6554410Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:50:14.6554685Z parm: NVreg_RmLogonRC:int 2025-12-04T09:50:14.6554981Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:50:14.6555268Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:50:14.6555543Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:50:14.6555812Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:50:14.6556142Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:50:14.6556493Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:50:14.6556786Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:50:14.6557071Z parm: NVreg_EnableMSI:int 2025-12-04T09:50:14.6557353Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:50:14.6557681Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:50:14.6558047Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:50:14.6558337Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:50:14.6558643Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:50:14.6558945Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:50:14.6559254Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:50:14.6559554Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:50:14.6559793Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:50:14.6560063Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:50:14.6560333Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:50:14.6560578Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:50:14.6560812Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:50:14.6561050Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:50:14.6561282Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:50:14.6561601Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:50:14.6561863Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:50:14.6562121Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:50:14.6562369Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-12-04T09:50:14.6562632Z parm: NVreg_EnableResizableBar:int 2025-12-04T09:50:14.6562872Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:50:14.6563118Z parm: NVreg_EnableNonblockingOpen:int 2025-12-04T09:50:14.6563369Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-12-04T09:50:14.6563622Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:50:14.6563869Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:50:14.6564105Z parm: NVreg_RmMsg:charp 2025-12-04T09:50:14.6564318Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:50:14.6564570Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:50:14.6564806Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:50:14.6565037Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:50:14.6565278Z parm: NVreg_RmNvlinkBandwidth:charp 2025-12-04T09:50:14.6565528Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-12-04T09:50:14.6565857Z parm: NVreg_ImexChannelCount:int 2025-12-04T09:50:14.6566092Z parm: NVreg_CreateImexChannel0:int 2025-12-04T09:50:14.6566343Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-12-04T09:50:14.6566584Z parm: rm_firmware_active:charp 2025-12-04T09:50:14.6566800Z + set +e 2025-12-04T09:50:14.6566945Z + nvidia-smi 2025-12-04T09:50:16.0917855Z Thu Dec 4 09:50:16 2025 2025-12-04T09:50:16.0918292Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:50:16.0919009Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:50:16.0919521Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:50:16.0919996Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:50:16.0920514Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:50:16.0920913Z | | | MIG M. | 2025-12-04T09:50:16.0921242Z |=========================================+========================+======================| 2025-12-04T09:50:16.0989428Z | 0 NVIDIA L4 Off | 00000000:35:00.0 Off | 0 | 2025-12-04T09:50:16.0989942Z | N/A 43C P0 30W / 72W | 0MiB / 23034MiB | 5% Default | 2025-12-04T09:50:16.0990348Z | | | N/A | 2025-12-04T09:50:16.0990742Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:50:16.0991103Z 2025-12-04T09:50:16.0991407Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:50:16.0991814Z | Processes: | 2025-12-04T09:50:16.0992174Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:50:16.0992520Z | ID ID Usage | 2025-12-04T09:50:16.0992783Z |=========================================================================================| 2025-12-04T09:50:16.0994585Z | No running processes found | 2025-12-04T09:50:16.0995048Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:50:16.4282208Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-12-04T09:50:17.8618075Z NVIDIA L4 2025-12-04T09:50:18.0460736Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:50:18.0461504Z + '[' 0 -eq 0 ']' 2025-12-04T09:50:18.0461779Z + echo 'INFO: Ignoring allowed status 0' 2025-12-04T09:50:18.0462055Z + set -e 2025-12-04T09:50:18.0462256Z INFO: Ignoring allowed status 0 2025-12-04T09:50:18.0469184Z == Installing nvidia container toolkit for amzn2023 == 2025-12-04T09:50:18.0472789Z + sudo yum install -y yum-utils 2025-12-04T09:50:18.5154306Z Last metadata expiration check: 0:08:01 ago on Thu Dec 4 09:42:17 2025. 2025-12-04T09:50:18.5377173Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed. 2025-12-04T09:50:18.5784461Z Dependencies resolved. 2025-12-04T09:50:18.6026729Z Nothing to do. 2025-12-04T09:50:18.6027171Z Complete! 2025-12-04T09:50:18.6848213Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]] 2025-12-04T09:50:18.6848834Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:50:18.6849722Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:50:18.9869972Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:50:19.0270903Z + sudo yum install -y nvidia-container-toolkit-1.17.8 libnvidia-container-tools-1.17.8 libnvidia-container1-1.17.8 nvidia-container-toolkit-base-1.17.8 2025-12-04T09:50:19.5384659Z nvidia-container-toolkit 25 kB/s | 833 B 00:00 2025-12-04T09:50:19.6062330Z Dependencies resolved. 2025-12-04T09:50:19.6290376Z ================================================================================ 2025-12-04T09:50:19.6290809Z Package Arch Version Repository Size 2025-12-04T09:50:19.6291193Z ================================================================================ 2025-12-04T09:50:19.6291480Z Downgrading: 2025-12-04T09:50:19.6291828Z libnvidia-container-tools x86_64 1.17.8-1 nvidia-container-toolkit 40 k 2025-12-04T09:50:19.6292387Z libnvidia-container1 x86_64 1.17.8-1 nvidia-container-toolkit 1.0 M 2025-12-04T09:50:19.6292891Z nvidia-container-toolkit x86_64 1.17.8-1 nvidia-container-toolkit 1.2 M 2025-12-04T09:50:19.6293448Z nvidia-container-toolkit-base x86_64 1.17.8-1 nvidia-container-toolkit 5.8 M 2025-12-04T09:50:19.6293808Z 2025-12-04T09:50:19.6293897Z Transaction Summary 2025-12-04T09:50:19.6294140Z ================================================================================ 2025-12-04T09:50:19.6294431Z Downgrade 4 Packages 2025-12-04T09:50:19.6294574Z 2025-12-04T09:50:19.6294680Z Total download size: 8.0 M 2025-12-04T09:50:19.6296109Z Downloading Packages: 2025-12-04T09:50:19.6459232Z (1/4): libnvidia-container-tools-1.17.8-1.x86_6 2.7 MB/s | 40 kB 00:00 2025-12-04T09:50:19.6630988Z (2/4): nvidia-container-toolkit-1.17.8-1.x86_64 39 MB/s | 1.2 MB 00:00 2025-12-04T09:50:19.6739298Z (3/4): libnvidia-container1-1.17.8-1.x86_64.rpm 23 MB/s | 1.0 MB 00:00 2025-12-04T09:50:19.7090444Z (4/4): nvidia-container-toolkit-base-1.17.8-1.x 93 MB/s | 5.8 MB 00:00 2025-12-04T09:50:19.7102409Z -------------------------------------------------------------------------------- 2025-12-04T09:50:19.7105677Z Total 100 MB/s | 8.0 MB 00:00 2025-12-04T09:50:19.7108468Z Running transaction check 2025-12-04T09:50:19.7228322Z Transaction check succeeded. 2025-12-04T09:50:19.7229061Z Running transaction test 2025-12-04T09:50:19.7663974Z Transaction test succeeded. 2025-12-04T09:50:19.7667469Z Running transaction 2025-12-04T09:50:20.2409383Z Preparing : 1/1 2025-12-04T09:50:20.3139435Z Downgrading : nvidia-container-toolkit-base-1.17.8-1.x86_64 1/8 2025-12-04T09:50:20.3184216Z Downgrading : libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:50:20.3438508Z Running scriptlet: libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:50:20.4304123Z Downgrading : libnvidia-container-tools-1.17.8-1.x86_64 3/8 2025-12-04T09:50:20.4350336Z Downgrading : nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:50:20.4519994Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:50:20.4575427Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:50:20.4578212Z Cleanup : nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:50:20.4683787Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:50:20.4737339Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:50:20.4738624Z Cleanup : libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:50:20.4842562Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:50:20.4903055Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:50:20.4904203Z Cleanup : libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:50:20.5019474Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:50:20.5084768Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:50:20.5085997Z Cleanup : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:50:20.5194619Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:50:20.5626107Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 8/8 2025-12-04T09:51:07.2334481Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:51:07.2338464Z Verifying : libnvidia-container-tools-1.17.8-1.x86_64 1/8 2025-12-04T09:51:07.2339077Z Verifying : libnvidia-container-tools-1.18.1-1.x86_64 2/8 2025-12-04T09:51:07.2339596Z Verifying : libnvidia-container1-1.17.8-1.x86_64 3/8 2025-12-04T09:51:07.2340093Z Verifying : libnvidia-container1-1.18.1-1.x86_64 4/8 2025-12-04T09:51:07.2340606Z Verifying : nvidia-container-toolkit-1.17.8-1.x86_64 5/8 2025-12-04T09:51:07.2341080Z Verifying : nvidia-container-toolkit-1.18.1-1.x86_64 6/8 2025-12-04T09:51:07.2341648Z Verifying : nvidia-container-toolkit-base-1.17.8-1.x86_64 7/8 2025-12-04T09:51:07.3669791Z Verifying : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8================================================================================ 2025-12-04T09:51:07.3670372Z WARNING: 2025-12-04T09:51:07.3670611Z A newer release of "Amazon Linux" is available. 2025-12-04T09:51:07.3670832Z 2025-12-04T09:51:07.3670927Z Available Versions: 2025-12-04T09:51:07.3671066Z 2025-12-04T09:51:07.3671179Z Version 2023.9.20250929: 2025-12-04T09:51:07.3671477Z Run the following command to upgrade to 2023.9.20250929: 2025-12-04T09:51:07.3671721Z 2025-12-04T09:51:07.3671848Z dnf upgrade --releasever=2023.9.20250929 2025-12-04T09:51:07.3672044Z 2025-12-04T09:51:07.3672147Z Release notes: 2025-12-04T09:51:07.3672539Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20250929.html 2025-12-04T09:51:07.3672902Z 2025-12-04T09:51:07.3672983Z Version 2023.9.20251014: 2025-12-04T09:51:07.3673266Z Run the following command to upgrade to 2023.9.20251014: 2025-12-04T09:51:07.3673501Z 2025-12-04T09:51:07.3673614Z dnf upgrade --releasever=2023.9.20251014 2025-12-04T09:51:07.3673815Z 2025-12-04T09:51:07.3673893Z Release notes: 2025-12-04T09:51:07.3674268Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251014.html 2025-12-04T09:51:07.3674607Z 2025-12-04T09:51:07.3674693Z Version 2023.9.20251020: 2025-12-04T09:51:07.3675270Z Run the following command to upgrade to 2023.9.20251020: 2025-12-04T09:51:07.3675525Z 2025-12-04T09:51:07.3675630Z dnf upgrade --releasever=2023.9.20251020 2025-12-04T09:51:07.3675826Z 2025-12-04T09:51:07.3675902Z Release notes: 2025-12-04T09:51:07.3676263Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251020.html 2025-12-04T09:51:07.3676605Z 2025-12-04T09:51:07.3676695Z Version 2023.9.20251027: 2025-12-04T09:51:07.3676974Z Run the following command to upgrade to 2023.9.20251027: 2025-12-04T09:51:07.3677199Z 2025-12-04T09:51:07.3677305Z dnf upgrade --releasever=2023.9.20251027 2025-12-04T09:51:07.3677490Z 2025-12-04T09:51:07.3677566Z Release notes: 2025-12-04T09:51:07.3677926Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251027.html 2025-12-04T09:51:07.3678263Z 2025-12-04T09:51:07.3678342Z Version 2023.9.20251105: 2025-12-04T09:51:07.3678612Z Run the following command to upgrade to 2023.9.20251105: 2025-12-04T09:51:07.3678833Z 2025-12-04T09:51:07.3678942Z dnf upgrade --releasever=2023.9.20251105 2025-12-04T09:51:07.3679135Z 2025-12-04T09:51:07.3679211Z Release notes: 2025-12-04T09:51:07.3679560Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251105.html 2025-12-04T09:51:07.3680107Z 2025-12-04T09:51:07.3680192Z Version 2023.9.20251110: 2025-12-04T09:51:07.3680452Z Run the following command to upgrade to 2023.9.20251110: 2025-12-04T09:51:07.3680688Z 2025-12-04T09:51:07.3680793Z dnf upgrade --releasever=2023.9.20251110 2025-12-04T09:51:07.3680978Z 2025-12-04T09:51:07.3681062Z Release notes: 2025-12-04T09:51:07.3681405Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251110.html 2025-12-04T09:51:07.3681734Z 2025-12-04T09:51:07.3681811Z Version 2023.9.20251117: 2025-12-04T09:51:07.3682082Z Run the following command to upgrade to 2023.9.20251117: 2025-12-04T09:51:07.3682300Z 2025-12-04T09:51:07.3682411Z dnf upgrade --releasever=2023.9.20251117 2025-12-04T09:51:07.3682602Z 2025-12-04T09:51:07.3682679Z Release notes: 2025-12-04T09:51:07.3683004Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251117.html 2025-12-04T09:51:07.3683265Z 2025-12-04T09:51:07.3683362Z ================================================================================ 2025-12-04T09:51:07.4135995Z 2025-12-04T09:51:07.4136122Z 2025-12-04T09:51:07.4136203Z Downgraded: 2025-12-04T09:51:07.4136579Z libnvidia-container-tools-1.17.8-1.x86_64 2025-12-04T09:51:07.4137118Z libnvidia-container1-1.17.8-1.x86_64 2025-12-04T09:51:07.4137621Z nvidia-container-toolkit-1.17.8-1.x86_64 2025-12-04T09:51:07.4138142Z nvidia-container-toolkit-base-1.17.8-1.x86_64 2025-12-04T09:51:07.4138460Z 2025-12-04T09:51:07.4138540Z Complete! 2025-12-04T09:51:07.4625054Z + sudo systemctl restart docker 2025-12-04T09:51:15.9580130Z Thu Dec 4 09:51:15 2025 2025-12-04T09:51:15.9581131Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:51:15.9582488Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:51:15.9583725Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:51:15.9584895Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:51:15.9585672Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:51:15.9586091Z | | | MIG M. | 2025-12-04T09:51:15.9586395Z |=========================================+========================+======================| 2025-12-04T09:51:15.9657624Z | 0 NVIDIA L4 On | 00000000:35:00.0 Off | 0 | 2025-12-04T09:51:15.9658385Z | N/A 42C P0 30W / 72W | 0MiB / 23034MiB | 4% Default | 2025-12-04T09:51:15.9658781Z | | | N/A | 2025-12-04T09:51:15.9659189Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:51:15.9659471Z 2025-12-04T09:51:15.9659639Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:51:15.9660037Z | Processes: | 2025-12-04T09:51:15.9660462Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:51:15.9660843Z | ID ID Usage | 2025-12-04T09:51:15.9661153Z |=========================================================================================| 2025-12-04T09:51:15.9662863Z | No running processes found | 2025-12-04T09:51:15.9663353Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:51:16.1259003Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally 2025-12-04T09:51:16.3296660Z 3.13: Pulling from docker/library/python 2025-12-04T09:51:16.4128739Z 53c88f1dfeb7: Pulling fs layer 2025-12-04T09:51:16.4129296Z eae668646f44: Pulling fs layer 2025-12-04T09:51:16.4129770Z ff2e6e687b6c: Pulling fs layer 2025-12-04T09:51:16.4130270Z 7c40a3faff76: Pulling fs layer 2025-12-04T09:51:16.4130734Z 967a3b1c8fef: Pulling fs layer 2025-12-04T09:51:16.4131196Z a64e1a44f22a: Pulling fs layer 2025-12-04T09:51:16.4131641Z 52655f8a5bcc: Pulling fs layer 2025-12-04T09:51:16.4132082Z 7c40a3faff76: Waiting 2025-12-04T09:51:16.4132497Z 967a3b1c8fef: Waiting 2025-12-04T09:51:16.4132869Z 52655f8a5bcc: Waiting 2025-12-04T09:51:16.4144696Z a64e1a44f22a: Waiting 2025-12-04T09:51:16.5224567Z eae668646f44: Verifying Checksum 2025-12-04T09:51:16.5224986Z eae668646f44: Download complete 2025-12-04T09:51:16.6091147Z 53c88f1dfeb7: Verifying Checksum 2025-12-04T09:51:16.6091619Z 53c88f1dfeb7: Download complete 2025-12-04T09:51:16.6625342Z ff2e6e687b6c: Verifying Checksum 2025-12-04T09:51:16.6625725Z ff2e6e687b6c: Download complete 2025-12-04T09:51:16.6699404Z 967a3b1c8fef: Verifying Checksum 2025-12-04T09:51:16.6699789Z 967a3b1c8fef: Download complete 2025-12-04T09:51:16.7004188Z 52655f8a5bcc: Download complete 2025-12-04T09:51:16.7918430Z a64e1a44f22a: Verifying Checksum 2025-12-04T09:51:16.7919012Z a64e1a44f22a: Download complete 2025-12-04T09:51:17.1056287Z 7c40a3faff76: Verifying Checksum 2025-12-04T09:51:17.1056684Z 7c40a3faff76: Download complete 2025-12-04T09:51:17.9410386Z 53c88f1dfeb7: Pull complete 2025-12-04T09:51:18.4772135Z eae668646f44: Pull complete 2025-12-04T09:51:20.2889925Z ff2e6e687b6c: Pull complete 2025-12-04T09:51:25.4459516Z 7c40a3faff76: Pull complete 2025-12-04T09:51:25.8150505Z 967a3b1c8fef: Pull complete 2025-12-04T09:51:26.4872091Z a64e1a44f22a: Pull complete 2025-12-04T09:51:26.5117695Z 52655f8a5bcc: Pull complete 2025-12-04T09:51:26.5258606Z Digest: sha256:3f986299a7b8b44b0d8cf9bda2b22361ce5c3058ef5d7cb17fb7452506680ab0 2025-12-04T09:51:26.5302609Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13 2025-12-04T09:51:33.9037161Z Thu Dec 4 09:51:33 2025 2025-12-04T09:51:33.9037699Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:51:33.9038201Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:51:33.9038875Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:51:33.9039387Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:51:33.9040256Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:51:33.9040686Z | | | MIG M. | 2025-12-04T09:51:33.9040991Z |=========================================+========================+======================| 2025-12-04T09:51:33.9143884Z | 0 NVIDIA L4 On | 00000000:35:00.0 Off | 0 | 2025-12-04T09:51:33.9144349Z | N/A 41C P8 13W / 72W | 0MiB / 23034MiB | 0% Default | 2025-12-04T09:51:33.9144719Z | | | N/A | 2025-12-04T09:51:33.9145100Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:51:33.9147422Z 2025-12-04T09:51:33.9147618Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:51:33.9148059Z | Processes: | 2025-12-04T09:51:33.9148500Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:51:33.9148885Z | ID ID Usage | 2025-12-04T09:51:33.9149452Z |=========================================================================================| 2025-12-04T09:51:33.9152489Z | No running processes found | 2025-12-04T09:51:33.9152948Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:51:35.1603856Z Command completed after 1 attempt(s). 2025-12-04T09:51:35.1688911Z Prepare all required actions 2025-12-04T09:51:35.1713317Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T09:51:35.1713562Z with: 2025-12-04T09:51:35.1714237Z github-token: *** 2025-12-04T09:51:35.1714447Z env: 2025-12-04T09:51:35.1714606Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:51:35.1714805Z HAS_NVIDIA_GPU: true 2025-12-04T09:51:35.1715037Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:51:35.1715309Z ##[endgroup] 2025-12-04T09:51:35.1728796Z ##[group]Run set -eux 2025-12-04T09:51:35.1728985Z set -eux 2025-12-04T09:51:35.1729318Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:51:35.1742560Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:51:35.1742848Z env: 2025-12-04T09:51:35.1743009Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:51:35.1743202Z HAS_NVIDIA_GPU: true 2025-12-04T09:51:35.1743459Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:51:35.1743827Z GITHUB_TOKEN: *** 2025-12-04T09:51:35.1743999Z ##[endgroup] 2025-12-04T09:51:35.1779317Z + python3 .github/scripts/get_workflow_job_id.py 19922826259 i-0af740a9f30bf0f12 2025-12-04T09:51:38.3932651Z Setting output job-id=57120265717 2025-12-04T09:51:38.3933457Z Setting output job-name=linux-jammy-cuda12.8-py3.10-gcc11-debug / test (default, 7, 7, linux.g6.4xlarge.experimental.nvidia.gpu, oncall:debug-build, rerun_disabled... 2025-12-04T09:51:38.4070605Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:51:38.4072064Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:51:38.4073698Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T09:51:38.4075100Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:51:38.4088156Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:51:38.4088429Z env: 2025-12-04T09:51:38.4088592Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:51:38.4088787Z HAS_NVIDIA_GPU: true 2025-12-04T09:51:38.4089016Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:51:38.4089269Z JOB_ID: 57120265717 2025-12-04T09:51:38.4089811Z JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11-debug / test (default, 7, 7, linux.g6.4xlarge.experimental.nvidia.gpu, oncall:debug-build, rerun_disabled... 2025-12-04T09:51:38.4090335Z WORKFLOW_NAME: periodic 2025-12-04T09:51:38.4090534Z WORKFLOW_RUN_ID: 19922826259 2025-12-04T09:51:38.4090742Z MONITOR_LOG_INTERVAL: 5 2025-12-04T09:51:38.4090928Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T09:51:38.4091138Z ##[endgroup] 2025-12-04T09:51:38.7010999Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:51:39.0322947Z Collecting psutil==5.9.8 2025-12-04T09:51:39.0472687Z 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) 2025-12-04T09:51:39.1152912Z Collecting dataclasses_json==0.6.7 2025-12-04T09:51:39.1189985Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T09:51:39.1480202Z Collecting nvidia-ml-py==11.525.84 2025-12-04T09:51:39.1512183Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T09:51:39.1808134Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T09:51:39.1836773Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T09:51:39.2805519Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T09:51:39.2835629Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T09:51:39.3327543Z Collecting packaging>=17.0 2025-12-04T09:51:39.3362268Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T09:51:39.3581985Z Collecting mypy-extensions>=0.3.0 2025-12-04T09:51:39.3611321Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T09:51:39.4050201Z Collecting typing-extensions>=3.7.4 2025-12-04T09:51:39.4082064Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T09:51:39.4979863Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T09:51:39.7495442Z 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 2025-12-04T09:51:39.9055001Z Prepare all required actions 2025-12-04T09:51:39.9055367Z Getting action download info 2025-12-04T09:51:40.1462629Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:51:40.3953475Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T09:51:40.7248206Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T09:51:40.7248489Z with: 2025-12-04T09:51:40.7248785Z name: linux-jammy-cuda12.8-py3.10-gcc11-debug 2025-12-04T09:51:40.7249160Z s3-bucket: gha-artifacts 2025-12-04T09:51:40.7249356Z env: 2025-12-04T09:51:40.7249519Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:51:40.7249818Z HAS_NVIDIA_GPU: true 2025-12-04T09:51:40.7250218Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:51:40.7250661Z ##[endgroup] 2025-12-04T09:51:40.7274791Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:51:40.7275085Z with: 2025-12-04T09:51:40.7275281Z name: linux-jammy-cuda12.8-py3.10-gcc11-debug 2025-12-04T09:51:40.7275538Z s3-bucket: gha-artifacts 2025-12-04T09:51:40.7275738Z region: us-east-1 2025-12-04T09:51:40.7275902Z env: 2025-12-04T09:51:40.7276050Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:51:40.7276246Z HAS_NVIDIA_GPU: true 2025-12-04T09:51:40.7276469Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:51:40.7276721Z ##[endgroup] 2025-12-04T09:51:41.1349135Z (node:60532) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:51:41.1349785Z 2025-12-04T09:51:41.1350057Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:51:41.1350766Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:51:41.1351536Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:51:41.3905750Z Found 1 objects with prefix pytorch/pytorch/19922826259/linux-jammy-cuda12.8-py3.10-gcc11-debug/ 2025-12-04T09:51:41.3906854Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:51:49.5067951Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:51:49.5073394Z Artifact download has finished successfully 2025-12-04T09:51:49.5345866Z ##[group]Run unzip -o artifacts.zip 2025-12-04T09:51:49.5346114Z unzip -o artifacts.zip 2025-12-04T09:51:49.5354519Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:51:49.5354802Z env: 2025-12-04T09:51:49.5354955Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:51:49.5355164Z HAS_NVIDIA_GPU: true 2025-12-04T09:51:49.5355394Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:51:49.5355648Z ##[endgroup] 2025-12-04T09:51:49.5436843Z Archive: artifacts.zip 2025-12-04T09:51:49.5438057Z creating: dist/ 2025-12-04T09:51:51.3691788Z inflating: dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 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.additional_ci_files/test-times.json 2025-12-04T09:52:00.1793993Z inflating: .additional_ci_files/test-class-times.json 2025-12-04T09:52:00.1847991Z ##[group]Run rm artifacts.zip 2025-12-04T09:52:00.1848222Z rm artifacts.zip 2025-12-04T09:52:00.1858139Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:52:00.1858428Z env: 2025-12-04T09:52:00.1858586Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:52:00.1858976Z HAS_NVIDIA_GPU: true 2025-12-04T09:52:00.1859225Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:00.1859494Z ##[endgroup] 2025-12-04T09:52:00.4122057Z ##[group]Run df -H 2025-12-04T09:52:00.4122241Z df -H 2025-12-04T09:52:00.4129505Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:52:00.4129781Z env: 2025-12-04T09:52:00.4129935Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:52:00.4130176Z HAS_NVIDIA_GPU: true 2025-12-04T09:52:00.4130404Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:00.4130679Z ##[endgroup] 2025-12-04T09:52:00.4180730Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T09:52:00.4181092Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T09:52:00.4181490Z tmpfs 33G 0 33G 0% /dev/shm 2025-12-04T09:52:00.4181806Z tmpfs 13G 779k 13G 1% /run 2025-12-04T09:52:00.4182084Z /dev/nvme0n1p1 161G 55G 107G 34% / 2025-12-04T09:52:00.4182385Z tmpfs 33G 17k 33G 1% /tmp 2025-12-04T09:52:00.4182694Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T09:52:00.4183028Z tmpfs 6.5G 0 6.5G 0% /run/user/0 2025-12-04T09:52:00.4214320Z Prepare all required actions 2025-12-04T09:52:00.4215072Z Getting action download info 2025-12-04T09:52:00.5909773Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T09:52:00.5910050Z with: 2025-12-04T09:52:00.5910200Z env: 2025-12-04T09:52:00.5910352Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:52:00.5910541Z HAS_NVIDIA_GPU: true 2025-12-04T09:52:00.5910766Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:00.5911014Z ##[endgroup] 2025-12-04T09:52:00.5934501Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:52:00.5934743Z with: 2025-12-04T09:52:00.5934890Z name: td_results 2025-12-04T09:52:00.5935062Z s3-bucket: gha-artifacts 2025-12-04T09:52:00.5935250Z region: us-east-1 2025-12-04T09:52:00.5935402Z env: 2025-12-04T09:52:00.5935555Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:52:00.5935740Z HAS_NVIDIA_GPU: true 2025-12-04T09:52:00.5935976Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:00.5936266Z ##[endgroup] 2025-12-04T09:52:01.0393465Z (node:60552) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:52:01.0393939Z 2025-12-04T09:52:01.0394118Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:52:01.0394601Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:52:01.0395095Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:52:01.1308993Z Found 1 objects with prefix pytorch/pytorch/19922826259/td_results/ 2025-12-04T09:52:01.1309598Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:52:01.2128959Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:52:01.2133991Z Artifact download has finished successfully 2025-12-04T09:52:01.2378060Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T09:52:01.2378362Z mkdir -p .additional_ci_files 2025-12-04T09:52:01.2378674Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T09:52:01.2387782Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:52:01.2388069Z env: 2025-12-04T09:52:01.2388228Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:52:01.2388427Z HAS_NVIDIA_GPU: true 2025-12-04T09:52:01.2388658Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:01.2388920Z ##[endgroup] 2025-12-04T09:52:01.2487949Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T09:52:01.2488273Z .github/scripts/parse_ref.py 2025-12-04T09:52:01.2495252Z shell: /usr/bin/bash -e {0} 2025-12-04T09:52:01.2495462Z env: 2025-12-04T09:52:01.2495619Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:52:01.2495811Z HAS_NVIDIA_GPU: true 2025-12-04T09:52:01.2496042Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:01.2496314Z ##[endgroup] 2025-12-04T09:52:01.2714338Z Setting output branch=main 2025-12-04T09:52:01.2811408Z Prepare all required actions 2025-12-04T09:52:01.2811746Z Getting action download info 2025-12-04T09:52:01.4221302Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T09:52:01.4221557Z with: 2025-12-04T09:52:01.4221868Z github-token: *** 2025-12-04T09:52:01.4227753Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:52:01.4234094Z job-name: linux-jammy-cuda12.8-py3.10-gcc11-debug / test (default, 7, 7, linux.g6.4xlarge.experimental.nvidia.gpu, oncall:debug-build, rerun_disabled... 2025-12-04T09:52:01.4234763Z env: 2025-12-04T09:52:01.4234921Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:52:01.4235113Z HAS_NVIDIA_GPU: true 2025-12-04T09:52:01.4235332Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:01.4235595Z ##[endgroup] 2025-12-04T09:52:01.4264033Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:52:01.4264256Z with: 2025-12-04T09:52:01.4264404Z shell: bash 2025-12-04T09:52:01.4264566Z timeout_minutes: 10 2025-12-04T09:52:01.4264735Z max_attempts: 5 2025-12-04T09:52:01.4264902Z retry_wait_seconds: 30 2025-12-04T09:52:01.4265459Z 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 2025-12-04T09:52:01.4266036Z polling_interval_seconds: 1 2025-12-04T09:52:01.4266232Z warning_on_retry: true 2025-12-04T09:52:01.4266425Z continue_on_error: false 2025-12-04T09:52:01.4266606Z env: 2025-12-04T09:52:01.4266925Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:52:01.4267120Z HAS_NVIDIA_GPU: true 2025-12-04T09:52:01.4267354Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:01.4267733Z GITHUB_TOKEN: *** 2025-12-04T09:52:01.4267904Z ##[endgroup] 2025-12-04T09:52:01.5191942Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:52:01.7355982Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:52:01.8414223Z Collecting requests==2.27.1 2025-12-04T09:52:01.8571742Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T09:52:02.0167965Z Collecting pyyaml==6.0.2 2025-12-04T09:52:02.0201686Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T09:52:02.0419637Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T09:52:02.0427946Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T09:52:02.0866463Z Collecting certifi>=2017.4.17 2025-12-04T09:52:02.0903514Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T09:52:02.4511708Z Collecting charset-normalizer~=2.0.0 2025-12-04T09:52:02.4548969Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T09:52:02.5328726Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T09:52:02.6446277Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T09:52:03.4955524Z Command completed after 1 attempt(s). 2025-12-04T09:52:03.5013819Z ##[group]Run set -x 2025-12-04T09:52:03.5014011Z set -x 2025-12-04T09:52:03.5026331Z  2025-12-04T09:52:03.5026677Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:52:03.5027060Z # in runner workspace 2025-12-04T09:52:03.5027352Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T09:52:03.5035397Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:52:03.5035674Z env: 2025-12-04T09:52:03.5035833Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:52:03.5036027Z HAS_NVIDIA_GPU: true 2025-12-04T09:52:03.5036252Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:03.5036512Z ##[endgroup] 2025-12-04T09:52:03.5066206Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T09:52:03.5236657Z Setting output branch=main 2025-12-04T09:52:03.5284915Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:52:03.5285216Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:52:03.5285457Z echo "Job name: ${JOB_NAME}" 2025-12-04T09:52:03.5285659Z  2025-12-04T09:52:03.5285931Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:52:03.5286702Z # in runner workspace 2025-12-04T09:52:03.5287017Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T09:52:03.5287356Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T09:52:03.5287599Z  --job-name "${JOB_NAME}" \ 2025-12-04T09:52:03.5293598Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}]}" \ 2025-12-04T09:52:03.5299686Z  --selected-test-configs "" \ 2025-12-04T09:52:03.5299928Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T09:52:03.5300158Z  --tag "${TAG}" \ 2025-12-04T09:52:03.5300381Z  --event-name "${EVENT_NAME}" \ 2025-12-04T09:52:03.5300610Z  --schedule "${SCHEDULE}" \ 2025-12-04T09:52:03.5300833Z  --branch "${HEAD_BRANCH}" 2025-12-04T09:52:03.5307963Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:52:03.5308243Z env: 2025-12-04T09:52:03.5308403Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:52:03.5308597Z HAS_NVIDIA_GPU: true 2025-12-04T09:52:03.5308826Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:03.5309259Z GITHUB_TOKEN: *** 2025-12-04T09:52:03.5309760Z JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11-debug / test (default, 7, 7, linux.g6.4xlarge.experimental.nvidia.gpu, oncall:debug-build, rerun_disabled... 2025-12-04T09:52:03.5310301Z PR_NUMBER: 2025-12-04T09:52:03.5310460Z TAG: 2025-12-04T09:52:03.5310614Z EVENT_NAME: schedule 2025-12-04T09:52:03.5310886Z SCHEDULE: 29 8 * * * 2025-12-04T09:52:03.5311058Z HEAD_BRANCH: main 2025-12-04T09:52:03.5311225Z ##[endgroup] 2025-12-04T09:52:03.5337480Z Workflow: periodic 2025-12-04T09:52:03.5338017Z Job name: linux-jammy-cuda12.8-py3.10-gcc11-debug / test (default, 7, 7, linux.g6.4xlarge.experimental.nvidia.gpu, oncall:debug-build, rerun_disabled... 2025-12-04T09:52:03.7061781Z Setting output keep-going=True 2025-12-04T09:52:03.7062133Z Setting output ci-verbose-test-logs=False 2025-12-04T09:52:03.7062461Z Setting output ci-test-showlocals=False 2025-12-04T09:52:03.7062760Z Setting output ci-no-test-timeout=False 2025-12-04T09:52:03.7063045Z Setting output ci-no-td=False 2025-12-04T09:52:03.7063326Z Setting output ci-td-distributed=False 2025-12-04T09:52:03.7063609Z Setting output is-unstable=False 2025-12-04T09:52:03.7063879Z Setting output reenabled-issues= 2025-12-04T09:52:03.7078692Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:52:03.7091787Z Setting output is-test-matrix-empty=False 2025-12-04T09:52:03.7171869Z ##[group]Run echo "Filtered matrix:" 2025-12-04T09:52:03.7172154Z echo "Filtered matrix:" 2025-12-04T09:52:03.7185249Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.g6.4xlarge.experimental.nvidia.gpu", "owners": ["oncall:debug-build"], "rerun_disabled_tests": "rerun_disabled_tests"}]}" 2025-12-04T09:52:03.7198435Z  2025-12-04T09:52:03.7198593Z echo 2025-12-04T09:52:03.7198797Z echo "Is the current job unstable? False" 2025-12-04T09:52:03.7199033Z  2025-12-04T09:52:03.7199186Z echo 2025-12-04T09:52:03.7199374Z echo "Is keep-going label set? True" 2025-12-04T09:52:03.7199593Z  2025-12-04T09:52:03.7199742Z echo 2025-12-04T09:52:03.7199915Z echo "Reenabled issues? " 2025-12-04T09:52:03.7207572Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:52:03.7207860Z env: 2025-12-04T09:52:03.7208019Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:52:03.7208211Z HAS_NVIDIA_GPU: true 2025-12-04T09:52:03.7208444Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:03.7208789Z ##[endgroup] 2025-12-04T09:52:03.7235939Z Filtered matrix: 2025-12-04T09:52:03.7254790Z {include: [{config: default, shard: 1, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], mem_leak_check: mem_leak_check}, {config: default, shard: 1, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 1, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 1, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 2, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], mem_leak_check: mem_leak_check}, {config: default, shard: 2, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 2, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 2, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 3, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], mem_leak_check: mem_leak_check}, {config: default, shard: 3, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 3, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 3, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 4, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], mem_leak_check: mem_leak_check}, {config: default, shard: 4, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 4, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 4, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 5, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], mem_leak_check: mem_leak_check}, {config: default, shard: 5, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 5, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 5, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 6, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], mem_leak_check: mem_leak_check}, {config: default, shard: 6, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 6, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 6, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 7, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], mem_leak_check: mem_leak_check}, {config: default, shard: 7, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 7, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 7, num_shards: 7, runner: linux.g6.4xlarge.experimental.nvidia.gpu, owners: [oncall:debug-build], rerun_disabled_tests: rerun_disabled_tests}]} 2025-12-04T09:52:03.7267825Z 2025-12-04T09:52:03.7267927Z Is the current job unstable? False 2025-12-04T09:52:03.7268083Z 2025-12-04T09:52:03.7268162Z Is keep-going label set? True 2025-12-04T09:52:03.7268295Z 2025-12-04T09:52:03.7268368Z Reenabled issues? 2025-12-04T09:52:03.7295184Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:52:03.7295614Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:52:03.7302696Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:52:03.7302974Z env: 2025-12-04T09:52:03.7303133Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:52:03.7303327Z HAS_NVIDIA_GPU: true 2025-12-04T09:52:03.7303545Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:03.7303803Z JOB_TIMEOUT: 240 2025-12-04T09:52:03.7303973Z ##[endgroup] 2025-12-04T09:52:03.7352942Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:52:03.7353380Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:52:03.7353701Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:52:03.7360695Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:52:03.7360979Z env: 2025-12-04T09:52:03.7361147Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:52:03.7361336Z HAS_NVIDIA_GPU: true 2025-12-04T09:52:03.7361571Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:03.7361831Z ##[endgroup] 2025-12-04T09:52:03.7463489Z ##[group]Run set -x 2025-12-04T09:52:03.7463798Z set -x 2025-12-04T09:52:03.7463982Z  2025-12-04T09:52:03.7464299Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T09:52:03.7464678Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T09:52:03.7464971Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T09:52:03.7465384Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T09:52:03.7465603Z else 2025-12-04T09:52:03.7465785Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:52:03.7465998Z fi 2025-12-04T09:52:03.7466141Z  2025-12-04T09:52:03.7466337Z # Leaving 1GB for the runner and other things 2025-12-04T09:52:03.7466761Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T09:52:03.7467383Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T09:52:03.7467883Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T09:52:03.7468263Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T09:52:03.7468553Z  2025-12-04T09:52:03.7468742Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:52:03.7468986Z  SHM_OPTS= 2025-12-04T09:52:03.7469165Z  JENKINS_USER= 2025-12-04T09:52:03.7469410Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T09:52:03.7469738Z  # if for some reason cleanup action doesn't stop container 2025-12-04T09:52:03.7470011Z  # when job is cancelled 2025-12-04T09:52:03.7470228Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T09:52:03.7470461Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T09:52:03.7470670Z else 2025-12-04T09:52:03.7470847Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T09:52:03.7471084Z  JENKINS_USER="--user jenkins" 2025-12-04T09:52:03.7471297Z  DOCKER_SHELL_CMD= 2025-12-04T09:52:03.7471498Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T09:52:03.7471700Z fi 2025-12-04T09:52:03.7471852Z  2025-12-04T09:52:03.7472089Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T09:52:03.7472459Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T09:52:03.7472881Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T09:52:03.7473241Z # shellcheck disable=SC2086,SC2090 2025-12-04T09:52:03.7473473Z container_name=$(docker run \ 2025-12-04T09:52:03.7473695Z  ${GPU_FLAG:-} \ 2025-12-04T09:52:03.7473905Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T09:52:03.7474151Z  -e BUILD_ENVIRONMENT \ 2025-12-04T09:52:03.7474361Z  -e PR_NUMBER \ 2025-12-04T09:52:03.7474565Z  -e GITHUB_ACTIONS \ 2025-12-04T09:52:03.7474768Z  -e GITHUB_REPOSITORY \ 2025-12-04T09:52:03.7474975Z  -e GITHUB_WORKFLOW \ 2025-12-04T09:52:03.7475175Z  -e GITHUB_JOB \ 2025-12-04T09:52:03.7475358Z  -e GITHUB_RUN_ID \ 2025-12-04T09:52:03.7475552Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T09:52:03.7475766Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T09:52:03.7475966Z  -e JOB_ID \ 2025-12-04T09:52:03.7476151Z  -e JOB_NAME \ 2025-12-04T09:52:03.7476334Z  -e BASE_SHA \ 2025-12-04T09:52:03.7476511Z  -e BRANCH \ 2025-12-04T09:52:03.7476679Z  -e SHA1 \ 2025-12-04T09:52:03.7476859Z  -e AWS_DEFAULT_REGION \ 2025-12-04T09:52:03.7477077Z  -e IN_WHEEL_TEST \ 2025-12-04T09:52:03.7477278Z  -e SHARD_NUMBER \ 2025-12-04T09:52:03.7477474Z  -e TEST_CONFIG \ 2025-12-04T09:52:03.7477669Z  -e NUM_TEST_SHARDS \ 2025-12-04T09:52:03.7477987Z  -e REENABLED_ISSUES \ 2025-12-04T09:52:03.7478212Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T09:52:03.7478439Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T09:52:03.7478641Z  -e TEST_SHOWLOCALS \ 2025-12-04T09:52:03.7478841Z  -e NO_TEST_TIMEOUT \ 2025-12-04T09:52:03.7479032Z  -e NO_TD \ 2025-12-04T09:52:03.7479281Z  -e TD_DISTRIBUTED \ 2025-12-04T09:52:03.7479477Z  -e PR_LABELS \ 2025-12-04T09:52:03.7479720Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T09:52:03.7480009Z  -e SCCACHE_BUCKET \ 2025-12-04T09:52:03.7480249Z  -e SCCACHE_REGION \ 2025-12-04T09:52:03.7480471Z  -e XLA_CUDA \ 2025-12-04T09:52:03.7480707Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T09:52:03.7480997Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T09:52:03.7481300Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T09:52:03.7481591Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T09:52:03.7481832Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T09:52:03.7482064Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T09:52:03.7482297Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T09:52:03.7482520Z  -e DASHBOARD_TAG \ 2025-12-04T09:52:03.7482715Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T09:52:03.7482970Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T09:52:03.7483268Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T09:52:03.7483556Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T09:52:03.7483829Z  --security-opt seccomp=unconfined \ 2025-12-04T09:52:03.7484076Z  --cap-add=SYS_PTRACE \ 2025-12-04T09:52:03.7484284Z  --ipc=host \ 2025-12-04T09:52:03.7484464Z  ${SHM_OPTS} \ 2025-12-04T09:52:03.7484645Z  --tty \ 2025-12-04T09:52:03.7484813Z  --detach \ 2025-12-04T09:52:03.7484997Z  --name="${container_name}" \ 2025-12-04T09:52:03.7485219Z  ${JENKINS_USER} \ 2025-12-04T09:52:03.7485467Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T09:52:03.7485748Z  -w /var/lib/jenkins/workspace \ 2025-12-04T09:52:03.7485980Z  "${USED_IMAGE}" \ 2025-12-04T09:52:03.7486176Z  ${DOCKER_SHELL_CMD} 2025-12-04T09:52:03.7486367Z ) 2025-12-04T09:52:03.7486600Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T09:52:03.7486882Z  2025-12-04T09:52:03.7487072Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:52:03.7487478Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T09:52:03.7487845Z fi 2025-12-04T09:52:03.7488000Z  2025-12-04T09:52:03.7488349Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T09:52:03.7495474Z shell: /usr/bin/bash -e {0} 2025-12-04T09:52:03.7495678Z env: 2025-12-04T09:52:03.7495842Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:52:03.7496037Z HAS_NVIDIA_GPU: true 2025-12-04T09:52:03.7496280Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:03.7496608Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc11-debug 2025-12-04T09:52:03.7496894Z PR_NUMBER: 2025-12-04T09:52:03.7497073Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T09:52:03.7497301Z GITHUB_WORKFLOW: periodic 2025-12-04T09:52:03.7497498Z GITHUB_JOB: test 2025-12-04T09:52:03.7497667Z GITHUB_RUN_ID: 19922826259 2025-12-04T09:52:03.7497883Z GITHUB_RUN_NUMBER: 19107 2025-12-04T09:52:03.7498075Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T09:52:03.7498244Z JOB_ID: 57120265717 2025-12-04T09:52:03.7498837Z JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11-debug / test (default, 7, 7, linux.g6.4xlarge.experimental.nvidia.gpu, oncall:debug-build, rerun_disabled... 2025-12-04T09:52:03.7499365Z BRANCH: main 2025-12-04T09:52:03.7499564Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:52:03.7499835Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:52:03.7500085Z TEST_CONFIG: default 2025-12-04T09:52:03.7500250Z SHARD_NUMBER: 7 2025-12-04T09:52:03.7500418Z NUM_TEST_SHARDS: 7 2025-12-04T09:52:03.7500656Z EXTRA_FLAGS: 2025-12-04T09:52:03.7500814Z OP_BENCHMARK_TESTS: 2025-12-04T09:52:03.7500979Z REENABLED_ISSUES: 2025-12-04T09:52:03.7501151Z CONTINUE_THROUGH_ERROR: True 2025-12-04T09:52:03.7501446Z VERBOSE_TEST_LOGS: False 2025-12-04T09:52:03.7501632Z TEST_SHOWLOCALS: False 2025-12-04T09:52:03.7501814Z NO_TEST_TIMEOUT: False 2025-12-04T09:52:03.7501982Z NO_TD: False 2025-12-04T09:52:03.7502133Z TD_DISTRIBUTED: False 2025-12-04T09:52:03.7502355Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T09:52:03.7502608Z SCCACHE_REGION: us-east-1 2025-12-04T09:52:03.7502791Z SHM_SIZE: 2g 2025-12-04T09:52:03.7503328Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:52:03.7504286Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:52:03.7504874Z XLA_CUDA: 2025-12-04T09:52:03.7505143Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:52:03.7505463Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T09:52:03.7505691Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 1 2025-12-04T09:52:03.7505900Z DASHBOARD_TAG: 2025-12-04T09:52:03.7506223Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T09:52:03.7506502Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T09:52:03.7506792Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T09:52:03.7507172Z ARTIFACTS_FILE_SUFFIX: test-default-7-7-linux.g6.4xlarge.experimental.nvidia.gpu_57120265717 2025-12-04T09:52:03.7507550Z ##[endgroup] 2025-12-04T09:52:03.7534287Z + [[ default == \m\u\l\t\i\g\p\u ]] 2025-12-04T09:52:03.7534654Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *onnx* ]] 2025-12-04T09:52:03.7535012Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:52:03.7537794Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T09:52:03.7560958Z + TOTAL_AVAILABLE_MEMORY_IN_GB='59.453 ' 2025-12-04T09:52:03.7561286Z + TOTAL_MEMORY_WITH_SWAP=62 2025-12-04T09:52:03.7561623Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *\s\3\9\0\x* ]] 2025-12-04T09:52:03.7561995Z + SHM_OPTS=--shm-size=2g 2025-12-04T09:52:03.7562246Z + JENKINS_USER='--user jenkins' 2025-12-04T09:52:03.7562489Z + DOCKER_SHELL_CMD= 2025-12-04T09:52:03.7563183Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:52:03.7570981Z +++ nproc --ignore=2 2025-12-04T09:52:03.7599738Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -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=59g --memory-swap=62g --env-file=/tmp/github_env_19922826259 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --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-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:52:14.7304164Z + container_name=31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T09:52:14.7305201Z + echo DOCKER_CONTAINER_ID=31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T09:52:14.7305809Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *\s\3\9\0\x* ]] 2025-12-04T09:52:14.7309545Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T09:52:14.7312042Z + docker exec -t 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T09:52:15.1817201Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T09:52:15.4902460Z 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) 2025-12-04T09:52:15.4905131Z 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) 2025-12-04T09:52:15.4909031Z 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) 2025-12-04T09:52:15.4912993Z 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) 2025-12-04T09:52:15.4916040Z 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) 2025-12-04T09:52:15.4920114Z 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) 2025-12-04T09:52:15.4932137Z 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) 2025-12-04T09:52:15.5258845Z 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) 2025-12-04T09:52:15.5275894Z 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) 2025-12-04T09:52:15.5326028Z 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) 2025-12-04T09:52:15.8504413Z Installing collected packages: torch 2025-12-04T09:52:26.1106062Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T09:52:26.1742126Z + export TERM=vt100 2025-12-04T09:52:26.1742387Z + TERM=vt100 2025-12-04T09:52:26.1744391Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:52:26.1754207Z + source .ci/pytorch/common.sh 2025-12-04T09:52:26.1757711Z +++ dirname .ci/pytorch/common.sh 2025-12-04T09:52:26.1765956Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T09:52:26.1767478Z +++ declare -f -t trap_add 2025-12-04T09:52:26.1772268Z ++ set -ex -o pipefail 2025-12-04T09:52:26.1772583Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *rocm* ]] 2025-12-04T09:52:26.1772922Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T09:52:26.1775999Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:52:26.1783913Z + source .ci/pytorch/common-build.sh 2025-12-04T09:52:26.1786467Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11-debug != *win-* ]] 2025-12-04T09:52:26.1793738Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T09:52:26.1802391Z +++ cd .ci/pytorch 2025-12-04T09:52:26.1802595Z +++ pwd -P 2025-12-04T09:52:26.1870577Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T09:52:26.1871678Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *-pch* ]] 2025-12-04T09:52:26.1872350Z ++ which sccache 2025-12-04T09:52:26.1939928Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T09:52:26.1941483Z ++ sccache --stop-server 2025-12-04T09:52:26.1968120Z ++ true 2025-12-04T09:52:26.1968393Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T09:52:26.1980723Z ++ trap_add sccache_epilogue EXIT 2025-12-04T09:52:26.1981040Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T09:52:26.1981406Z ++ shift 2025-12-04T09:52:26.1981609Z ++ for trap_add_name in "$@" 2025-12-04T09:52:26.1987629Z ++++ trap -p EXIT 2025-12-04T09:52:26.1990846Z +++ eval 'extract_trap_cmd ' 2025-12-04T09:52:26.1991104Z ++++ extract_trap_cmd 2025-12-04T09:52:26.1991299Z ++++ printf '%s\n' '' 2025-12-04T09:52:26.1991518Z +++ printf '%s\n' sccache_epilogue 2025-12-04T09:52:26.1993508Z ++ trap -- ' 2025-12-04T09:52:26.1993882Z sccache_epilogue' EXIT 2025-12-04T09:52:26.1994188Z ++ [[ -n 1 ]] 2025-12-04T09:52:26.1994572Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T09:52:26.1995233Z Skipping sccache server initialization, setting environment variables 2025-12-04T09:52:26.1995643Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:52:26.1995914Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:52:26.1996222Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:52:26.1996615Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:52:26.2004281Z ++ export RUST_LOG=sccache::server=error 2025-12-04T09:52:26.2004574Z ++ RUST_LOG=sccache::server=error 2025-12-04T09:52:26.2004804Z ++ sccache --zero-stats 2025-12-04T09:52:26.3801313Z Statistics zeroed. 2025-12-04T09:52:26.3809394Z ++ which ccache 2025-12-04T09:52:26.3885190Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug != *rocm* ]] 2025-12-04T09:52:26.3885765Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug != *s390x* ]] 2025-12-04T09:52:26.3886138Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T09:52:26.3888974Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T09:52:26.3904572Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T09:52:26.3904900Z + trap_add cleanup_workspace EXIT 2025-12-04T09:52:26.3905155Z + trap_add_cmd=cleanup_workspace 2025-12-04T09:52:26.3905350Z + shift 2025-12-04T09:52:26.3905521Z + for trap_add_name in "$@" 2025-12-04T09:52:26.3912073Z +++ trap -p EXIT 2025-12-04T09:52:26.3915138Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T09:52:26.3915480Z sccache_epilogue'\'' EXIT' 2025-12-04T09:52:26.3926802Z +++ extract_trap_cmd trap -- ' 2025-12-04T09:52:26.3927049Z sccache_epilogue' EXIT 2025-12-04T09:52:26.3927246Z +++ printf '%s\n' ' 2025-12-04T09:52:26.3927427Z sccache_epilogue' 2025-12-04T09:52:26.3927628Z ++ printf '%s\n' cleanup_workspace 2025-12-04T09:52:26.3927860Z + trap -- ' 2025-12-04T09:52:26.3928040Z sccache_epilogue 2025-12-04T09:52:26.3928225Z cleanup_workspace' EXIT 2025-12-04T09:52:26.3928449Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T09:52:27.3689755Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T09:52:27.3709863Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *cuda* ]] 2025-12-04T09:52:27.3713510Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))' 2025-12-04T09:52:27.7759243Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:52:27.7759849Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']' 2025-12-04T09:52:27.7766170Z +++ realpath .ci/pytorch/test.sh 2025-12-04T09:52:27.7778105Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh 2025-12-04T09:52:27.7948662Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch 2025-12-04T09:52:27.7950327Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:52:27.7951386Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace 2025-12-04T09:52:27.7952157Z + patch -p4 2025-12-04T09:52:27.7966983Z patching file cudadrv/driver.py 2025-12-04T09:52:27.7967615Z Hunk #1 succeeded at 357 (offset -8 lines). 2025-12-04T09:52:27.8049461Z + popd 2025-12-04T09:52:27.8049892Z ~/workspace 2025-12-04T09:52:27.8051166Z + echo 'Environment variables:' 2025-12-04T09:52:27.8051830Z Environment variables: 2025-12-04T09:52:27.8052344Z + env 2025-12-04T09:52:27.8064604Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:52:27.8065208Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:52:27.8065759Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11-debug 2025-12-04T09:52:27.8066646Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:52:27.8067085Z HOSTNAME=31b4f6acc346 2025-12-04T09:52:27.8067775Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_afcabe1a-379a-464e-8f06-dcff99c88e9c 2025-12-04T09:52:27.8068763Z GITHUB_ACTION=__run_3 2025-12-04T09:52:27.8069154Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:52:27.8069514Z GITHUB_RUN_NUMBER=19107 2025-12-04T09:52:27.8069743Z TEST_CONFIG=default 2025-12-04T09:52:27.8069967Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:52:27.8070264Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:52:27.8070548Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:52:27.8070878Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:52:27.8071098Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:52:27.8071301Z GITHUB_REF_TYPE=branch 2025-12-04T09:52:27.8071510Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:52:27.8071757Z XLA_CUDA= 2025-12-04T09:52:27.8071923Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:52:27.8072223Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:52:27.8072643Z *** 2025-12-04T09:52:27.8072918Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:52:27.8073263Z GITHUB_ACTIONS=true 2025-12-04T09:52:27.8073559Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:27.8073941Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:52:27.8074236Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:52:27.8074512Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:52:27.8074884Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main 2025-12-04T09:52:27.8075226Z UCC_HOME=/usr 2025-12-04T09:52:27.8075396Z VERBOSE_TEST_LOGS=False 2025-12-04T09:52:27.8075585Z GITHUB_REF=refs/heads/main 2025-12-04T09:52:27.8075767Z SHARD_NUMBER=7 2025-12-04T09:52:27.8075931Z GITHUB_REF_PROTECTED=true 2025-12-04T09:52:27.8076108Z HOME=/var/lib/jenkins 2025-12-04T09:52:27.8076308Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:52:27.8076545Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:52:27.8076779Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:52:27.8077011Z USE_SYSTEM_NCCL=1 2025-12-04T09:52:27.8077170Z NUM_TEST_SHARDS=7 2025-12-04T09:52:27.8077323Z UCX_HOME=/usr 2025-12-04T09:52:27.8077729Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_afcabe1a-379a-464e-8f06-dcff99c88e9c 2025-12-04T09:52:27.8078519Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11-debug / test (default, 7, 7, linux.g6.4xlarge.experimental.nvidia.gpu, oncall:debug-build, rerun_disabled... 2025-12-04T09:52:27.8079259Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_afcabe1a-379a-464e-8f06-dcff99c88e9c 2025-12-04T09:52:27.8079827Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:52:27.8080170Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:52:27.8080354Z DASHBOARD_TAG= 2025-12-04T09:52:27.8080521Z GITHUB_RUN_ID=19922826259 2025-12-04T09:52:27.8080713Z INSTALLED_OPENBLAS= 2025-12-04T09:52:27.8081157Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_afcabe1a-379a-464e-8f06-dcff99c88e9c 2025-12-04T09:52:27.8081625Z GITHUB_ACTOR=huydhn 2025-12-04T09:52:27.8081786Z PR_NUMBER= 2025-12-04T09:52:27.8082127Z DESIRED_CUDA=12.8.1 2025-12-04T09:52:27.8082307Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:52:27.8082497Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:52:27.8082732Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:52:27.8082980Z TERM=vt100 2025-12-04T09:52:27.8083142Z INSTALLED_VISION=yes 2025-12-04T09:52:27.8083303Z BRANCH=main 2025-12-04T09:52:27.8083546Z SCCACHE_REGION=us-east-1 2025-12-04T09:52:27.8083740Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:52:27.8083934Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:52:27.8084123Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:52:27.8084507Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:52:27.8084907Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:52:27.8085161Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:52:27.8085402Z REENABLED_ISSUES= 2025-12-04T09:52:27.8085555Z DOCS= 2025-12-04T09:52:27.8085692Z SHLVL=1 2025-12-04T09:52:27.8085832Z MAX_JOBS=14 2025-12-04T09:52:27.8085980Z GITHUB_ACTOR_ID=475357 2025-12-04T09:52:27.8086231Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:52:27.8086503Z GITHUB_REF_NAME=main 2025-12-04T09:52:27.8086767Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:52:27.8087051Z GITHUB_JOB=test 2025-12-04T09:52:27.8087211Z NO_TEST_TIMEOUT=False 2025-12-04T09:52:27.8087386Z TD_DISTRIBUTED=False 2025-12-04T09:52:27.8087566Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:52:27.8087774Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:52:27.8087956Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:52:27.8088132Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:52:27.8088669Z 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 2025-12-04T09:52:27.8089217Z GITHUB_BASE_REF= 2025-12-04T09:52:27.8089369Z INSTALLED_ACL= 2025-12-04T09:52:27.8089698Z ARTIFACTS_FILE_SUFFIX=test-default-7-7-linux.g6.4xlarge.experimental.nvidia.gpu_57120265717 2025-12-04T09:52:27.8090076Z CI=true 2025-12-04T09:52:27.8090233Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:52:27.8090467Z RUST_LOG=sccache::server=error 2025-12-04T09:52:27.8090659Z JOB_ID=57120265717 2025-12-04T09:52:27.8090818Z GITHUB_HEAD_REF= 2025-12-04T09:52:27.8090969Z GITHUB_ACTION_REF= 2025-12-04T09:52:27.8091174Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:52:27.8091422Z TEST_SHOWLOCALS=False 2025-12-04T09:52:27.8091594Z GITHUB_WORKFLOW=periodic 2025-12-04T09:52:27.8091783Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:52:27.8092228Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_afcabe1a-379a-464e-8f06-dcff99c88e9c 2025-12-04T09:52:27.8092666Z NO_TD=False 2025-12-04T09:52:27.8092831Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:52:27.8093044Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:52:27.8093259Z _=/usr/bin/env 2025-12-04T09:52:27.8093504Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:52:27.8093865Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T09:52:27.8195769Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-12-04T09:52:27.8196558Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:52:27.8197257Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-12-04T09:52:27.8197839Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-12-04T09:52:27.8198251Z + BUILD_DIR=build 2025-12-04T09:52:27.8198477Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T09:52:27.8198753Z + BUILD_BIN_DIR=build/bin 2025-12-04T09:52:27.8198982Z + SHARD_NUMBER=7 2025-12-04T09:52:27.8199175Z + NUM_TEST_SHARDS=7 2025-12-04T09:52:27.8199408Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:52:27.8199775Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:52:27.8200076Z + export VALGRIND=ON 2025-12-04T09:52:27.8200557Z + VALGRIND=ON 2025-12-04T09:52:27.8200847Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *clang9* ]] 2025-12-04T09:52:27.8201158Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *xpu* ]] 2025-12-04T09:52:27.8201411Z + detect_cuda_arch 2025-12-04T09:52:27.8201626Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *cuda* ]] 2025-12-04T09:52:27.8201894Z + command -v nvidia-smi 2025-12-04T09:52:27.8202195Z /usr/bin/nvidia-smi 2025-12-04T09:52:27.8207261Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-12-04T09:52:27.8208880Z ++ tail -n 1 2025-12-04T09:52:27.8477359Z + TORCH_CUDA_ARCH_LIST=8.9 2025-12-04T09:52:27.8477795Z + export TORCH_CUDA_ARCH_LIST 2025-12-04T09:52:27.8478145Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *s390x* ]] 2025-12-04T09:52:27.8478464Z + [[ 1 == \1 ]] 2025-12-04T09:52:27.8478667Z + ulimit -c 0 2025-12-04T09:52:27.8478933Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug != *bazel* ]] 2025-12-04T09:52:27.8482204Z ++ realpath build/custom_test_artifacts 2025-12-04T09:52:27.8716295Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T09:52:27.8716767Z + [[ -n '' ]] 2025-12-04T09:52:27.8716987Z + echo 'Environment variables' 2025-12-04T09:52:27.8717237Z Environment variables 2025-12-04T09:52:27.8717450Z + env 2025-12-04T09:52:27.8895620Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:52:27.8896170Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:52:27.8896557Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11-debug 2025-12-04T09:52:27.8897185Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:52:27.8897564Z HOSTNAME=31b4f6acc346 2025-12-04T09:52:27.8898209Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_afcabe1a-379a-464e-8f06-dcff99c88e9c 2025-12-04T09:52:27.8898887Z GITHUB_ACTION=__run_3 2025-12-04T09:52:27.8899132Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:52:27.8899410Z GITHUB_RUN_NUMBER=19107 2025-12-04T09:52:27.8899624Z TEST_CONFIG=default 2025-12-04T09:52:27.8899855Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:52:27.8900146Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:52:27.8900526Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:52:27.8900893Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:52:27.8901131Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:52:27.8901481Z GITHUB_REF_TYPE=branch 2025-12-04T09:52:27.8901665Z TORCH_CUDA_ARCH_LIST=8.9 2025-12-04T09:52:27.8901895Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:52:27.8902134Z XLA_CUDA= 2025-12-04T09:52:27.8902292Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:52:27.8902677Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:52:27.8902922Z *** 2025-12-04T09:52:27.8903075Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:52:27.8903286Z GITHUB_ACTIONS=true 2025-12-04T09:52:27.8903467Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:52:27.8903705Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:52:27.8903990Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:52:27.8904265Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:52:27.8904637Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main 2025-12-04T09:52:27.8904970Z UCC_HOME=/usr 2025-12-04T09:52:27.8905136Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:52:27.8905329Z VERBOSE_TEST_LOGS=False 2025-12-04T09:52:27.8905547Z GITHUB_REF=refs/heads/main 2025-12-04T09:52:27.8905846Z SHARD_NUMBER=7 2025-12-04T09:52:27.8906014Z GITHUB_REF_PROTECTED=true 2025-12-04T09:52:27.8906200Z HOME=/var/lib/jenkins 2025-12-04T09:52:27.8906392Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:52:27.8906806Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:52:27.8907079Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:52:27.8907310Z USE_SYSTEM_NCCL=1 2025-12-04T09:52:27.8907480Z NUM_TEST_SHARDS=7 2025-12-04T09:52:27.8907754Z UCX_HOME=/usr 2025-12-04T09:52:27.8908220Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_afcabe1a-379a-464e-8f06-dcff99c88e9c 2025-12-04T09:52:27.8909291Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11-debug / test (default, 7, 7, linux.g6.4xlarge.experimental.nvidia.gpu, oncall:debug-build, rerun_disabled... 2025-12-04T09:52:27.8910075Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_afcabe1a-379a-464e-8f06-dcff99c88e9c 2025-12-04T09:52:27.8910658Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:52:27.8911141Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:52:27.8911333Z DASHBOARD_TAG= 2025-12-04T09:52:27.8911497Z GITHUB_RUN_ID=19922826259 2025-12-04T09:52:27.8911680Z INSTALLED_OPENBLAS= 2025-12-04T09:52:27.8912127Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_afcabe1a-379a-464e-8f06-dcff99c88e9c 2025-12-04T09:52:27.8912608Z GITHUB_ACTOR=huydhn 2025-12-04T09:52:27.8912774Z PR_NUMBER= 2025-12-04T09:52:27.8912926Z DESIRED_CUDA=12.8.1 2025-12-04T09:52:27.8913088Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:52:27.8913262Z VALGRIND=ON 2025-12-04T09:52:27.8913427Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:52:27.8913665Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:52:27.8913909Z TERM=vt100 2025-12-04T09:52:27.8914059Z INSTALLED_VISION=yes 2025-12-04T09:52:27.8914223Z BRANCH=main 2025-12-04T09:52:27.8914372Z SCCACHE_REGION=us-east-1 2025-12-04T09:52:27.8914579Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:52:27.8914779Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:52:27.8914958Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:52:27.8915327Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:52:27.8915734Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:52:27.8915985Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:52:27.8916227Z REENABLED_ISSUES= 2025-12-04T09:52:27.8916386Z DOCS= 2025-12-04T09:52:27.8916518Z SHLVL=1 2025-12-04T09:52:27.8916660Z MAX_JOBS=14 2025-12-04T09:52:27.8916815Z GITHUB_ACTOR_ID=475357 2025-12-04T09:52:27.8917056Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:52:27.8917332Z GITHUB_REF_NAME=main 2025-12-04T09:52:27.8917600Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:52:27.8917888Z GITHUB_JOB=test 2025-12-04T09:52:27.8918059Z NO_TEST_TIMEOUT=False 2025-12-04T09:52:27.8918238Z TD_DISTRIBUTED=False 2025-12-04T09:52:27.8918430Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:52:27.8918636Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:52:27.8919106Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:52:27.8919307Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:52:27.8919854Z 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 2025-12-04T09:52:27.8920420Z GITHUB_BASE_REF= 2025-12-04T09:52:27.8920591Z INSTALLED_ACL= 2025-12-04T09:52:27.8920915Z ARTIFACTS_FILE_SUFFIX=test-default-7-7-linux.g6.4xlarge.experimental.nvidia.gpu_57120265717 2025-12-04T09:52:27.8921298Z CI=true 2025-12-04T09:52:27.8921466Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:52:27.8921694Z RUST_LOG=sccache::server=error 2025-12-04T09:52:27.8921891Z JOB_ID=57120265717 2025-12-04T09:52:27.8922051Z GITHUB_HEAD_REF= 2025-12-04T09:52:27.8922213Z GITHUB_ACTION_REF= 2025-12-04T09:52:27.8922411Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:52:27.8922657Z TEST_SHOWLOCALS=False 2025-12-04T09:52:27.8922840Z GITHUB_WORKFLOW=periodic 2025-12-04T09:52:27.8923027Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:52:27.8923476Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_afcabe1a-379a-464e-8f06-dcff99c88e9c 2025-12-04T09:52:27.8923921Z NO_TD=False 2025-12-04T09:52:27.8924082Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:52:27.8924292Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:52:27.8924606Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:52:27.8924907Z _=/usr/bin/env 2025-12-04T09:52:27.8925192Z + echo 'Testing pytorch' 2025-12-04T09:52:27.8925389Z Testing pytorch 2025-12-04T09:52:27.8925557Z + export LANG=C.UTF-8 2025-12-04T09:52:27.8925731Z + LANG=C.UTF-8 2025-12-04T09:52:27.8925896Z + PR_NUMBER= 2025-12-04T09:52:27.8926062Z + [[ default == \d\e\f\a\u\l\t ]] 2025-12-04T09:52:27.8926274Z + export CUDA_VISIBLE_DEVICES=0 2025-12-04T09:52:27.8926472Z + CUDA_VISIBLE_DEVICES=0 2025-12-04T09:52:27.8926764Z + export HIP_VISIBLE_DEVICES=0 2025-12-04T09:52:27.8926956Z + HIP_VISIBLE_DEVICES=0 2025-12-04T09:52:27.8927143Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T09:52:27.8927443Z + [[ default == \s\l\o\w ]] 2025-12-04T09:52:27.8927716Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *slow-gradcheck* ]] 2025-12-04T09:52:27.8928058Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *cuda* ]] 2025-12-04T09:52:27.8928353Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:52:27.8928600Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:52:27.8928813Z + [[ default == *crossref* ]] 2025-12-04T09:52:27.8929135Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *rocm* ]] 2025-12-04T09:52:27.8929611Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *xpu* ]] 2025-12-04T09:52:27.8929917Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug != *-bazel-* ]] 2025-12-04T09:52:27.8930184Z + pip_install ninja==1.10.2 2025-12-04T09:52:27.8930435Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T09:52:27.8930773Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T09:52:28.4096223Z Collecting ninja==1.10.2 2025-12-04T09:52:28.4300254Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T09:52:28.4671512Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T09:52:28.8219509Z Installing collected packages: ninja 2025-12-04T09:52:28.8219906Z Attempting uninstall: ninja 2025-12-04T09:52:28.8227385Z Found existing installation: ninja 1.11.1.4 2025-12-04T09:52:28.8253907Z Uninstalling ninja-1.11.1.4: 2025-12-04T09:52:28.8347145Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T09:52:28.9069292Z Successfully installed ninja-1.10.2 2025-12-04T09:52:28.9534866Z + 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 2025-12-04T09:52:28.9536468Z + 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 2025-12-04T09:52:28.9537346Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *aarch64* ]] 2025-12-04T09:52:28.9537881Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *asan* ]] 2025-12-04T09:52:28.9538274Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *-debug* ]] 2025-12-04T09:52:28.9539048Z + echo 'We are in debug mode: linux-jammy-cuda12.8-py3.10-gcc11-debug. Expect the python assertion to fail' 2025-12-04T09:52:28.9540042Z We are in debug mode: linux-jammy-cuda12.8-py3.10-gcc11-debug. Expect the python assertion to fail 2025-12-04T09:52:28.9540584Z + cd test 2025-12-04T09:52:28.9540991Z + get_exit_code python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T09:52:28.9541502Z + set +e 2025-12-04T09:52:28.9541802Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T09:52:30.2585986Z Traceback (most recent call last): 2025-12-04T09:52:30.2587163Z File "", line 1, in 2025-12-04T09:52:30.2588194Z RuntimeError: THPUtils_unpackInt(arg) != 424242 INTERNAL ASSERT FAILED at "/var/lib/jenkins/workspace/torch/csrc/Module.cpp":325, please report a bug to PyTorch. Expect anything but 424242 as an input for debug builds 2025-12-04T09:52:30.5052985Z + retcode=1 2025-12-04T09:52:30.5053253Z + set -e 2025-12-04T09:52:30.5053437Z + return 1 2025-12-04T09:52:30.5055376Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T09:52:30.5056156Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T09:52:30.5056543Z + [[ default == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T09:52:30.5061861Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T09:52:30.5062885Z + [[ default == *pr_time_benchmarks* ]] 2025-12-04T09:52:30.5063182Z + [[ default == *dynamo_eager* ]] 2025-12-04T09:52:30.5063537Z + [[ default == *aot_eager* ]] 2025-12-04T09:52:30.5063966Z + [[ default == *aot_inductor* ]] 2025-12-04T09:52:30.5064187Z + [[ default == *max_autotune_inductor* ]] 2025-12-04T09:52:30.5064411Z + [[ default == *inductor* ]] 2025-12-04T09:52:30.5064609Z + [[ default == *dynamic* ]] 2025-12-04T09:52:30.5064799Z + [[ default == *cpu* ]] 2025-12-04T09:52:30.5064989Z + [[ default == *xpu* ]] 2025-12-04T09:52:30.5065193Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T09:52:30.5205159Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *libtorch* ]] 2025-12-04T09:52:30.5205728Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *-bazel-* ]] 2025-12-04T09:52:30.5208493Z + cd test 2025-12-04T09:52:30.5209462Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T09:52:32.0665817Z PyTorch built with: 2025-12-04T09:52:32.0666115Z - GCC 11.4 2025-12-04T09:52:32.0666334Z - C++ Version: 201703 2025-12-04T09:52:32.0666870Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:52:32.0667567Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:52:32.0667957Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:52:32.0668261Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T09:52:32.0668548Z - NNPACK is enabled 2025-12-04T09:52:32.0668775Z - CPU capability usage: AVX2 2025-12-04T09:52:32.0669019Z - CUDA Runtime 12.8 2025-12-04T09:52:32.0669330Z - NVCC architecture flags: -gencode;arch=compute_89,code=sm_89 2025-12-04T09:52:32.0669714Z - CuDNN 91.0.2 (built against CUDA 12.9) 2025-12-04T09:52:32.0673926Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=RelWithAssert, COMMIT_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32, CUDA_VERSION=12.8, CUDNN_VERSION=9.10.2, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, 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, 2025-12-04T09:52:32.0677425Z 2025-12-04T09:52:32.3454609Z + cd test 2025-12-04T09:52:32.3454974Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T09:52:33.6029334Z ATen/Parallel: 2025-12-04T09:52:33.6029700Z at::get_num_threads() : 8 2025-12-04T09:52:33.6029995Z at::get_num_interop_threads() : 8 2025-12-04T09:52:33.6030278Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:52:33.6030548Z omp_get_max_threads() : 8 2025-12-04T09:52:33.6031054Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:52:33.6031561Z mkl_get_max_threads() : 8 2025-12-04T09:52:33.6031904Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:52:33.6032311Z std::thread::hardware_concurrency() : 16 2025-12-04T09:52:33.6032587Z Environment variables: 2025-12-04T09:52:33.6033194Z OMP_NUM_THREADS : [not set] 2025-12-04T09:52:33.6033474Z MKL_NUM_THREADS : [not set] 2025-12-04T09:52:33.6033728Z ATen parallel backend: OpenMP 2025-12-04T09:52:33.6033895Z 2025-12-04T09:52:33.8397543Z + [[ default == *numpy_2* ]] 2025-12-04T09:52:33.8397988Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *aarch64* ]] 2025-12-04T09:52:33.8398966Z + [[ default == *backward* ]] 2025-12-04T09:52:33.8399276Z + [[ default == *libtorch_agnostic_targetting* ]] 2025-12-04T09:52:33.8399695Z + [[ default == *xla* ]] 2025-12-04T09:52:33.8399938Z + [[ default == *vllm* ]] 2025-12-04T09:52:33.8400174Z + [[ default == *executorch* ]] 2025-12-04T09:52:33.8400435Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T09:52:33.8400709Z + [[ default == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T09:52:33.8401049Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *libtorch* ]] 2025-12-04T09:52:33.8401396Z + [[ default == distributed ]] 2025-12-04T09:52:33.8401648Z + [[ default == *operator_benchmark* ]] 2025-12-04T09:52:33.8401947Z + [[ default == *operator_microbenchmark* ]] 2025-12-04T09:52:33.8402236Z + [[ default == *attention_microbenchmark* ]] 2025-12-04T09:52:33.8402526Z + [[ default == *inductor_distributed* ]] 2025-12-04T09:52:33.8402809Z + [[ default == *inductor-halide* ]] 2025-12-04T09:52:33.8403185Z + [[ default == *inductor-pallas* ]] 2025-12-04T09:52:33.8403482Z + [[ default == *inductor-triton-cpu* ]] 2025-12-04T09:52:33.8403823Z + [[ default == *inductor-micro-benchmark* ]] 2025-12-04T09:52:33.8404243Z + [[ default == *aoti_cross_compile_for_windows* ]] 2025-12-04T09:52:33.8404550Z + [[ default == *huggingface* ]] 2025-12-04T09:52:33.8404797Z + [[ default == *timm* ]] 2025-12-04T09:52:33.8405043Z + [[ default == cachebench ]] 2025-12-04T09:52:33.8405283Z + [[ default == verify_cachebench ]] 2025-12-04T09:52:33.8405542Z + [[ default == *torchbench* ]] 2025-12-04T09:52:33.8405802Z + [[ default == *inductor_cpp_wrapper* ]] 2025-12-04T09:52:33.8406043Z + [[ default == *inductor_core* ]] 2025-12-04T09:52:33.8406252Z + [[ default == *inductor* ]] 2025-12-04T09:52:33.8406442Z + [[ default == *einops* ]] 2025-12-04T09:52:33.8406626Z + [[ default == *dynamo_core* ]] 2025-12-04T09:52:33.8406827Z + [[ default == *dynamo_wrapped* ]] 2025-12-04T09:52:33.8407081Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *rocm* ]] 2025-12-04T09:52:33.8407326Z + [[ 7 == 1 ]] 2025-12-04T09:52:33.8407493Z + [[ 7 == 2 ]] 2025-12-04T09:52:33.8407648Z + [[ 7 -gt 2 ]] 2025-12-04T09:52:33.8407814Z + install_torchvision 2025-12-04T09:52:33.8407998Z + local orig_preload 2025-12-04T09:52:33.8408168Z + local commit 2025-12-04T09:52:33.8408324Z ++ get_pinned_commit vision 2025-12-04T09:52:33.8408531Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T09:52:33.8419859Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:52:33.8420315Z + orig_preload= 2025-12-04T09:52:33.8420599Z + '[' -n '' ']' 2025-12-04T09:52:33.8420880Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug == *cuda* ]] 2025-12-04T09:52:33.8421369Z + export FORCE_CUDA=1 2025-12-04T09:52:33.8421731Z + FORCE_CUDA=1 2025-12-04T09:52:33.8421982Z + export WITH_CUDA=1 2025-12-04T09:52:33.8422196Z + WITH_CUDA=1 2025-12-04T09:52:33.8422823Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T09:52:33.8423622Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:52:33.8424135Z + local wheel_dir=dist/vision 2025-12-04T09:52:33.8424376Z + local found_whl=0 2025-12-04T09:52:33.8424589Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:52:33.8424851Z + [[ -f dist/vision/*.whl ]] 2025-12-04T09:52:33.8425083Z + '[' 0 == 0 ']' 2025-12-04T09:52:33.8425652Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:52:34.1346973Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:52:34.1351143Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-l0hxrl7p 2025-12-04T09:52:34.1578524Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-l0hxrl7p 2025-12-04T09:52:35.6497774Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T09:52:35.6525171Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:52:35.7608989Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:52:37.6757723Z Preparing metadata (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:52:37.6791285Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T09:53:51.5887234Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done 2025-12-04T09:53:51.5916202Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1786240 sha256=e3175c4f4eb8100b2a4db56db41c97a648d1097b7778f27b1955338cbad3ebe5 2025-12-04T09:53:51.5918720Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac 2025-12-04T09:53:51.5951129Z Successfully built torchvision 2025-12-04T09:53:51.6918380Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:53:51.6919157Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:53:51.6919795Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl') 2025-12-04T09:53:51.6920197Z + local args 2025-12-04T09:53:51.6920547Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T09:53:51.6921019Z + for path in "${args[@]}" 2025-12-04T09:53:51.6921415Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl' 2025-12-04T09:53:51.6921914Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:53:51.6922455Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:53:52.0060118Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:53:52.0143365Z Installing collected packages: torchvision 2025-12-04T09:53:52.4314213Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T09:53:52.4594156Z + '[' -n '' ']' 2025-12-04T09:53:52.4594409Z + test_python_shard 7 2025-12-04T09:53:52.4594640Z + [[ -z 7 ]] 2025-12-04T09:53:52.4595345Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 7 7 --verbose --upload-artifacts-while-running 2025-12-04T09:53:56.8609190Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:53:56.9106191Z Ignoring disabled issues: [''] 2025-12-04T09:53:56.9188570Z Found test times from artifacts 2025-12-04T09:53:56.9513826Z Found test times from artifacts 2025-12-04T09:53:56.9524131Z Running all tests 2025-12-04T09:53:57.0024737Z Running parallel tests on 3 processes 2025-12-04T09:53:57.0028184Z Name: tests to run (est. time: 74.54min) 2025-12-04T09:53:57.0028479Z Serial tests (0): 2025-12-04T09:53:57.0028719Z Parallel tests (50): 2025-12-04T09:53:57.0028973Z inductor/test_aot_inductor 5/5 2025-12-04T09:53:57.0029308Z inductor/test_torchinductor_codegen_dynamic_shapes 1/3 2025-12-04T09:53:57.0029671Z inductor/test_torchinductor_opinfo 5/14 2025-12-04T09:53:57.0029975Z inductor/test_torchinductor_opinfo 6/14 2025-12-04T09:53:57.0030284Z inductor/test_torchinductor_opinfo 14/14 2025-12-04T09:53:57.0030887Z inductor/test_deterministic 2/3 2025-12-04T09:53:57.0031172Z inductor/test_deterministic 3/3 2025-12-04T09:53:57.0031419Z test_decomp 2/17 2025-12-04T09:53:57.0031624Z test_decomp 5/17 2025-12-04T09:53:57.0031821Z test_decomp 6/17 2025-12-04T09:53:57.0032020Z test_meta 1/4 2025-12-04T09:53:57.0032208Z test_meta 3/4 2025-12-04T09:53:57.0032394Z test_meta 4/4 2025-12-04T09:53:57.0032786Z test_ops 4/9 2025-12-04T09:53:57.0032972Z test_ops 8/9 2025-12-04T09:53:57.0033176Z functorch/test_dims 1/1 2025-12-04T09:53:57.0033410Z test_sparse_csr 1/3 2025-12-04T09:53:57.0033635Z dynamo/test_dynamic_shapes 2/2 2025-12-04T09:53:57.0033899Z inductor/test_cpu_repro 1/2 2025-12-04T09:53:57.0034159Z inductor/test_triton_cpu_backend 1/1 2025-12-04T09:53:57.0034484Z export/test_export_training_ir_to_run_decomp 1/1 2025-12-04T09:53:57.0034875Z inductor/test_lookup_table 1/1 2025-12-04T09:53:57.0035362Z inductor/test_compiled_optimizers 2/3 2025-12-04T09:53:57.0035939Z inductor/test_control_flow 2/5 2025-12-04T09:53:57.0036208Z xpu/test_conv 1/1 2025-12-04T09:53:57.0036383Z test_modules 1/1 2025-12-04T09:53:57.0036560Z nn/test_packed_sequence 1/1 2025-12-04T09:53:57.0036749Z test_numa_binding 1/1 2025-12-04T09:53:57.0036948Z test_pruning_op 1/1 2025-12-04T09:53:57.0037130Z test_jit_fuser_te 1/1 2025-12-04T09:53:57.0037305Z test_logging 1/1 2025-12-04T09:53:57.0037482Z nn/test_lazy_modules 1/1 2025-12-04T09:53:57.0037666Z nn/test_pruning 1/1 2025-12-04T09:53:57.0037834Z test_monitor 1/1 2025-12-04T09:53:57.0038000Z test_cuda_sanitizer 1/1 2025-12-04T09:53:57.0038217Z test_bundled_inputs 1/1 2025-12-04T09:53:57.0038493Z torch_np/numpy_tests/core/test_numeric 1/1 2025-12-04T09:53:57.0038788Z torch_np/numpy_tests/core/test_multiarray 1/1 2025-12-04T09:53:57.0039153Z test_itt 1/1 2025-12-04T09:53:57.0039354Z torch_np/numpy_tests/lib/test_function_base 1/1 2025-12-04T09:53:57.0039586Z test_masked 1/1 2025-12-04T09:53:57.0039749Z test_sympy_utils 1/1 2025-12-04T09:53:57.0039931Z test_subclass 1/1 2025-12-04T09:53:57.0040104Z test_import_stats 1/1 2025-12-04T09:53:57.0040295Z functorch/test_vmap_registrations 1/1 2025-12-04T09:53:57.0040521Z nn/test_parametrization 1/1 2025-12-04T09:53:57.0040713Z test_mkldnn_fusion 1/1 2025-12-04T09:53:57.0040892Z lazy/test_ts_opinfo 1/1 2025-12-04T09:53:57.0041081Z test_dynamic_shapes 1/1 2025-12-04T09:53:57.0041278Z complex_tensor/test_complex_tensor 1/3 2025-12-04T09:53:57.0041505Z Name: excluded (est. time: 0.0min) 2025-12-04T09:53:57.0041700Z Serial tests (0): 2025-12-04T09:53:57.0041866Z Parallel tests (0): 2025-12-04T09:53:57.0042160Z Running inductor/test_aot_inductor 5/5 ... [2025-12-04 09:53:57.003405][884.93153001] 2025-12-04T09:53:57.0042485Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:57.0043374Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'serial', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:57.003755] 2025-12-04T09:54:05.8653558Z 2025-12-04T09:54:05.8654508Z inductor/test_aot_inductor 5/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_5.5_b44a0d47cba3ff28_.log 2025-12-04T09:54:05.8655369Z Running 0 items in this shard: 2025-12-04T09:54:05.8655555Z 2025-12-04T09:54:05.8655835Z Finished inductor/test_aot_inductor 5/5 ... [2025-12-04 09:54:05.865312][893.793435627], took 0.15min 2025-12-04T09:54:05.8662182Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-4276869429496495.xml 2025-12-04T09:54:06.2464264Z Uploading artifacts took 0.10 seconds 2025-12-04T09:54:06.2468339Z Running inductor/test_torchinductor_codegen_dynamic_shapes 1/3 ... [2025-12-04 09:54:06.246584][894.174705863] 2025-12-04T09:54:06.2468784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:06.2471775Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:06.246931] 2025-12-04T09:54:14.9454658Z 2025-12-04T09:54:14.9455910Z inductor/test_torchinductor_codegen_dynamic_shapes 1/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_1.3_decc7c1678c86026_.log 2025-12-04T09:54:14.9456997Z Running 0 items in this shard: 2025-12-04T09:54:14.9457174Z 2025-12-04T09:54:14.9457563Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 1/3 ... [2025-12-04 09:54:14.945240][902.873362408], took 0.14min 2025-12-04T09:54:14.9464132Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-f52b1571a66030c2.xml 2025-12-04T09:54:15.0163105Z Running inductor/test_torchinductor_opinfo 5/14 ... [2025-12-04 09:54:15.016060][902.944185721] 2025-12-04T09:54:15.0163613Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:15.0166689Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=5', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:15.016382] 2025-12-04T09:54:27.2278359Z 2025-12-04T09:54:27.2279392Z inductor/test_torchinductor_opinfo 5/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_5.14_6e265d3e821fe010_.log 2025-12-04T09:54:27.2280255Z Running 0 items in this shard: 2025-12-04T09:54:27.2280431Z 2025-12-04T09:54:27.2280756Z Finished inductor/test_torchinductor_opinfo 5/14 ... [2025-12-04 09:54:27.227576][915.155699454], took 0.20min 2025-12-04T09:54:27.2289357Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-ffd5ecab115dfe1a.xml 2025-12-04T09:54:27.2974020Z Running inductor/test_torchinductor_opinfo 6/14 ... [2025-12-04 09:54:27.297123][915.225248945] 2025-12-04T09:54:27.2974539Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:27.2977683Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=6', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:27.297474] 2025-12-04T09:54:39.4723995Z 2025-12-04T09:54:39.4724952Z inductor/test_torchinductor_opinfo 6/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_6.14_b517c55adffab57b_.log 2025-12-04T09:54:39.4725798Z Running 0 items in this shard: 2025-12-04T09:54:39.4725981Z 2025-12-04T09:54:39.4726308Z Finished inductor/test_torchinductor_opinfo 6/14 ... [2025-12-04 09:54:39.472176][927.400299184], took 0.20min 2025-12-04T09:54:39.4735391Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-a623ddd18e47edc7.xml 2025-12-04T09:54:39.5398547Z Running inductor/test_torchinductor_opinfo 14/14 ... [2025-12-04 09:54:39.539495][927.4676167] 2025-12-04T09:54:39.5399038Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:39.5402218Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=14', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:39.539904] 2025-12-04T09:54:51.6282540Z 2025-12-04T09:54:51.6283456Z inductor/test_torchinductor_opinfo 14/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_14.14_b953bdc6d7feb68c_.log 2025-12-04T09:54:51.6285264Z Running 0 items in this shard: 2025-12-04T09:54:51.6285442Z 2025-12-04T09:54:51.6285752Z Finished inductor/test_torchinductor_opinfo 14/14 ... [2025-12-04 09:54:51.628023][939.556146884], took 0.20min 2025-12-04T09:54:51.6295433Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-ed46c59f32049cfc.xml 2025-12-04T09:54:51.7003312Z Running inductor/test_deterministic 2/3 ... [2025-12-04 09:54:51.700101][939.628226932] 2025-12-04T09:54:51.7003797Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:51.7006876Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:51.700416] 2025-12-04T09:54:57.2929477Z 2025-12-04T09:54:57.2930354Z inductor/test_deterministic 2/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_2.3_4ff76f53530fc51c_.log 2025-12-04T09:54:57.2931096Z Running 0 items in this shard: 2025-12-04T09:54:57.2931278Z 2025-12-04T09:54:57.2931562Z Finished inductor/test_deterministic 2/3 ... [2025-12-04 09:54:57.292728][945.22085151], took 0.09min 2025-12-04T09:54:57.2944363Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_deterministic/inductor.test_deterministic-c63251725912c79b.xml 2025-12-04T09:54:57.3195733Z Running inductor/test_deterministic 3/3 ... [2025-12-04 09:54:57.319350][945.247475984] 2025-12-04T09:54:57.3196190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:57.3199200Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'serial', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:57.319654] 2025-12-04T09:55:02.9228456Z 2025-12-04T09:55:02.9229375Z inductor/test_deterministic 3/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_3.3_2344f0f155200af4_.log 2025-12-04T09:55:02.9230149Z Running 0 items in this shard: 2025-12-04T09:55:02.9230328Z 2025-12-04T09:55:02.9230642Z Finished inductor/test_deterministic 3/3 ... [2025-12-04 09:55:02.922636][950.850759624], took 0.09min 2025-12-04T09:55:02.9245138Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_deterministic/inductor.test_deterministic-6110664213cda736.xml 2025-12-04T09:55:02.9508007Z Running test_decomp 2/17 ... [2025-12-04 09:55:02.950590][950.878715587] 2025-12-04T09:55:02.9508416Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:02.9511547Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=2', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:02.950897] 2025-12-04T09:55:20.0222760Z 2025-12-04T09:55:20.0223531Z test_decomp 2/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_2.17_68833e100253b538_.log 2025-12-04T09:55:20.0224191Z Running 0 items in this shard: 2025-12-04T09:55:20.0224746Z 2025-12-04T09:55:20.0224992Z Finished test_decomp 2/17 ... [2025-12-04 09:55:20.021736][967.949857738], took 0.28min 2025-12-04T09:55:20.0238730Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-059c8bc9cfab7d3d.xml 2025-12-04T09:55:20.1004095Z Running test_decomp 5/17 ... [2025-12-04 09:55:20.100166][968.028290578] 2025-12-04T09:55:20.1004793Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:20.1007773Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=5', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:20.100497] 2025-12-04T09:55:36.9049902Z 2025-12-04T09:55:36.9050656Z test_decomp 5/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_5.17_95a9c681c389a96a_.log 2025-12-04T09:55:36.9051349Z Running 0 items in this shard: 2025-12-04T09:55:36.9051530Z 2025-12-04T09:55:36.9051778Z Finished test_decomp 5/17 ... [2025-12-04 09:55:36.904730][984.832851011], took 0.28min 2025-12-04T09:55:36.9069190Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-a06b67614c9037e2.xml 2025-12-04T09:55:36.9832541Z Running test_decomp 6/17 ... [2025-12-04 09:55:36.982992][984.911117338] 2025-12-04T09:55:36.9833030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:36.9836236Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=6', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:36.983341] 2025-12-04T09:55:53.8607037Z 2025-12-04T09:55:53.8607973Z test_decomp 6/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_6.17_df23024aa32cedb5_.log 2025-12-04T09:55:53.8608634Z Running 0 items in this shard: 2025-12-04T09:55:53.8608816Z 2025-12-04T09:55:53.8609058Z Finished test_decomp 6/17 ... [2025-12-04 09:55:53.860060][1001.788180706], took 0.28min 2025-12-04T09:55:53.8625244Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-78693c6db4f06655.xml 2025-12-04T09:55:53.9370538Z Running test_meta 1/4 ... [2025-12-04 09:55:53.936723][1001.864844547] 2025-12-04T09:55:53.9371094Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:53.9373993Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_meta.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 09:55:53.937090] 2025-12-04T09:56:53.7160395Z 2025-12-04T09:56:53.7163468Z test_meta 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.4_7c3ee3b37376c856_.log 2025-12-04T09:56:53.7164262Z Running 0 items in this shard: 2025-12-04T09:56:53.7164451Z 2025-12-04T09:56:53.7164734Z Finished test_meta 1/4 ... [2025-12-04 09:56:53.715740][1061.643863822], took 1.00min 2025-12-04T09:56:53.7188955Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_meta/test_meta-86cf120deefb9539.xml 2025-12-04T09:56:53.7934950Z Running test_meta 3/4 ... [2025-12-04 09:56:53.793274][1061.721400386] 2025-12-04T09:56:53.7935353Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:53.7938780Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_meta.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 09:56:53.793610] 2025-12-04T09:57:53.0896364Z 2025-12-04T09:57:53.0900158Z test_meta 3/4 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_3.4_aa8ec03eed271b6a_.log 2025-12-04T09:57:53.0900811Z Running 0 items in this shard: 2025-12-04T09:57:53.0900992Z 2025-12-04T09:57:53.0901205Z Finished test_meta 3/4 ... [2025-12-04 09:57:53.089304][1121.017428095], took 0.99min 2025-12-04T09:57:53.0921349Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_meta/test_meta-5104774069bc8ce5.xml 2025-12-04T09:57:53.1637466Z Running test_meta 4/4 ... [2025-12-04 09:57:53.163504][1121.091630656] 2025-12-04T09:57:53.1637867Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:53.1640874Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_meta.py', '-m', 'serial', '--shard-id=4', '--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 09:57:53.163820] 2025-12-04T09:58:53.0415749Z 2025-12-04T09:58:53.0416510Z test_meta 4/4 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_4.4_10c7fb0fe59e1eb0_.log 2025-12-04T09:58:53.0428597Z Running 0 items in this shard: 2025-12-04T09:58:53.0428778Z 2025-12-04T09:58:53.0428981Z Finished test_meta 4/4 ... [2025-12-04 09:58:53.041357][1180.9694793], took 1.00min 2025-12-04T09:58:53.0441315Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_meta/test_meta-9000d8eae553b5cc.xml 2025-12-04T09:58:53.1154262Z Running test_ops 4/9 ... [2025-12-04 09:58:53.115197][1181.043321693] 2025-12-04T09:58:53.1154656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:53.1157626Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=4', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:58:53.115492] 2025-12-04T09:59:46.0016404Z 2025-12-04T09:59:46.0017188Z test_ops 4/9 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.9_7afb910a94944dc9_.log 2025-12-04T09:59:46.0017993Z Running 0 items in this shard: 2025-12-04T09:59:46.0018283Z 2025-12-04T09:59:46.0018534Z Finished test_ops 4/9 ... [2025-12-04 09:59:46.001374][1233.929497617], took 0.88min 2025-12-04T09:59:46.0043782Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-e1c3b13d2d49651c.xml 2025-12-04T09:59:46.0739023Z Running test_ops 8/9 ... [2025-12-04 09:59:46.073535][1234.001658128] 2025-12-04T09:59:46.0739426Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:46.0742281Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=8', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:59:46.073940] 2025-12-04T10:00:38.5822583Z 2025-12-04T10:00:38.5823364Z test_ops 8/9 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_8.9_a074624c661add1d_.log 2025-12-04T10:00:38.5823993Z Running 0 items in this shard: 2025-12-04T10:00:38.5824206Z 2025-12-04T10:00:38.5824435Z Finished test_ops 8/9 ... [2025-12-04 10:00:38.582000][1286.510122967], took 0.88min 2025-12-04T10:00:38.5850413Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-773e2859d96ffa9a.xml 2025-12-04T10:00:38.6481182Z Running functorch/test_dims 1/1 ... [2025-12-04 10:00:38.647870][1286.575996171] 2025-12-04T10:00:38.6481656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:38.6485574Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_dims.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:38.648155] 2025-12-04T10:00:41.8185611Z 2025-12-04T10:00:41.8186440Z functorch/test_dims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_dims_1.1_ed0de1d89c7c2c1c_.log 2025-12-04T10:00:41.8187634Z Running 0 items in this shard: 2025-12-04T10:00:41.8187825Z 2025-12-04T10:00:41.8188131Z Finished functorch/test_dims 1/1 ... [2025-12-04 10:00:41.818321][1289.746445232], took 0.05min 2025-12-04T10:00:41.8216690Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_dims/functorch.test_dims-5f995d8874ded18a.xml 2025-12-04T10:00:41.8459620Z Running test_sparse_csr 1/3 ... [2025-12-04 10:00:41.845740][1289.773866307] 2025-12-04T10:00:41.8460053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:41.8463082Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse_csr.py', '-m', 'serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:41.846044] 2025-12-04T10:00:53.1490928Z 2025-12-04T10:00:53.1491727Z test_sparse_csr 1/3 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.3_19f736afbe4f3810_.log 2025-12-04T10:00:53.1492393Z Running 0 items in this shard: 2025-12-04T10:00:53.1492570Z 2025-12-04T10:00:53.1492799Z Finished test_sparse_csr 1/3 ... [2025-12-04 10:00:53.148823][1301.076945886], took 0.19min 2025-12-04T10:00:53.1522229Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sparse_csr/test_sparse_csr-ba122915ce2ed29f.xml 2025-12-04T10:00:53.2239711Z Running dynamo/test_dynamic_shapes 2/2 ... [2025-12-04 10:00:53.223731][1301.151857307] 2025-12-04T10:00:53.2240178Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:53.2243149Z 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 10:00:53.224043] 2025-12-04T10:01:03.0548035Z 2025-12-04T10:01:03.0548929Z 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_d574461619ce920a_.log 2025-12-04T10:01:03.0549679Z Running 0 items in this shard: 2025-12-04T10:01:03.0549860Z 2025-12-04T10:01:03.0550136Z Finished dynamo/test_dynamic_shapes 2/2 ... [2025-12-04 10:01:03.054555][1310.982678713], took 0.16min 2025-12-04T10:01:03.0581396Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-fd52415fdbab6f0e.xml 2025-12-04T10:01:03.1247103Z Running inductor/test_cpu_repro 1/2 ... [2025-12-04 10:01:03.124470][1311.052595854] 2025-12-04T10:01:03.1247552Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:03.1250811Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.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 10:01:03.124796] 2025-12-04T10:01:10.2685780Z 2025-12-04T10:01:10.2686819Z inductor/test_cpu_repro 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_1.2_fa666873c74e63af_.log 2025-12-04T10:01:10.2687846Z Running 0 items in this shard: 2025-12-04T10:01:10.2688091Z 2025-12-04T10:01:10.2688468Z Finished inductor/test_cpu_repro 1/2 ... [2025-12-04 10:01:10.268297][1318.196421402], took 0.12min 2025-12-04T10:01:10.2722675Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-9ecca0238abc29b2.xml 2025-12-04T10:01:10.3629883Z Running inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 10:01:10.362716][1318.290842343] 2025-12-04T10:01:10.3630577Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:10.3633503Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_cpu_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:10.363043] 2025-12-04T10:01:16.3049400Z 2025-12-04T10:01:16.3050477Z inductor/test_triton_cpu_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_cpu_backend_1.1_12b5bc9b839e9c1d_.log 2025-12-04T10:01:16.3051161Z 2025-12-04T10:01:16.3051505Z Finished inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 10:01:16.304698][1324.232822222], took 0.10min 2025-12-04T10:01:16.3086274Z Running export/test_export_training_ir_to_run_decomp 1/1 ... [2025-12-04 10:01:16.308414][1324.236540749] 2025-12-04T10:01:16.3086784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:16.3089908Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export_training_ir_to_run_decomp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:16.308731] 2025-12-04T10:01:23.2934965Z 2025-12-04T10:01:23.2936034Z export/test_export_training_ir_to_run_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_34dd71e39a483112_.log 2025-12-04T10:01:23.2936926Z Running 0 items in this shard: 2025-12-04T10:01:23.2937096Z 2025-12-04T10:01:23.2937426Z Finished export/test_export_training_ir_to_run_decomp 1/1 ... [2025-12-04 10:01:23.293282][1331.221405163], took 0.12min 2025-12-04T10:01:23.2971151Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export_training_ir_to_run_decomp/export.test_export_training_ir_to_run_decomp-9551f2ab1ce72fcd.xml 2025-12-04T10:01:23.3659223Z Running inductor/test_lookup_table 1/1 ... [2025-12-04 10:01:23.365667][1331.29379391] 2025-12-04T10:01:23.3659706Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:23.3662635Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_lookup_table.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:23.365979] 2025-12-04T10:01:28.8317143Z 2025-12-04T10:01:28.8318099Z inductor/test_lookup_table 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_lookup_table_1.1_d62afaa272935914_.log 2025-12-04T10:01:28.8318996Z 2025-12-04T10:01:28.8319309Z Finished inductor/test_lookup_table 1/1 ... [2025-12-04 10:01:28.831468][1336.759591823], took 0.09min 2025-12-04T10:01:28.8357111Z Running inductor/test_compiled_optimizers 2/3 ... [2025-12-04 10:01:28.835494][1336.763620513] 2025-12-04T10:01:28.8357628Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:28.8360627Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_optimizers.py', '-m', 'serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:28.835810] 2025-12-04T10:01:36.8048077Z 2025-12-04T10:01:36.8049355Z inductor/test_compiled_optimizers 2/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_2.3_ea2cde41d80faa2d_.log 2025-12-04T10:01:36.8050192Z Running 0 items in this shard: 2025-12-04T10:01:36.8050368Z 2025-12-04T10:01:36.8050691Z Finished inductor/test_compiled_optimizers 2/3 ... [2025-12-04 10:01:36.804575][1344.732699762], took 0.13min 2025-12-04T10:01:36.8086039Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_optimizers/inductor.test_compiled_optimizers-3ad91e5d9d97be4c.xml 2025-12-04T10:01:36.8964921Z Running inductor/test_control_flow 2/5 ... [2025-12-04 10:01:36.896233][1344.824359186] 2025-12-04T10:01:36.8965385Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:36.8968375Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_flow.py', '-m', 'serial', '--shard-id=2', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:36.896546] 2025-12-04T10:01:43.4730422Z 2025-12-04T10:01:43.4731414Z inductor/test_control_flow 2/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_flow_2.5_c6318dfbb4b1d030_.log 2025-12-04T10:01:43.4732163Z Running 0 items in this shard: 2025-12-04T10:01:43.4732370Z 2025-12-04T10:01:43.4732644Z Finished inductor/test_control_flow 2/5 ... [2025-12-04 10:01:43.472851][1351.400974775], took 0.11min 2025-12-04T10:01:43.4770918Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_control_flow/inductor.test_control_flow-f39330593a93ab41.xml 2025-12-04T10:01:43.5630515Z Running xpu/test_conv 1/1 ... [2025-12-04 10:01:43.562810][1351.490935681] 2025-12-04T10:01:43.5630951Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:43.5633949Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_conv.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:43.563121] 2025-12-04T10:01:46.9940385Z 2025-12-04T10:01:46.9941334Z xpu/test_conv 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_conv_1.1_c423436341a1a785_.log 2025-12-04T10:01:46.9942019Z Running 0 items in this shard: 2025-12-04T10:01:46.9942193Z 2025-12-04T10:01:46.9942420Z Finished xpu/test_conv 1/1 ... [2025-12-04 10:01:46.993825][1354.921949446], took 0.06min 2025-12-04T10:01:46.9984201Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_conv/xpu.test_conv-fe88f8acc09793f0.xml 2025-12-04T10:01:47.0293477Z Running test_modules 1/1 ... [2025-12-04 10:01:47.029124][1354.957250026] 2025-12-04T10:01:47.0293894Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:47.0296971Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:47.029437] 2025-12-04T10:01:56.8643145Z 2025-12-04T10:01:56.8643939Z test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.1_dd02a539b92573fa_.log 2025-12-04T10:01:56.8644640Z Running 0 items in this shard: 2025-12-04T10:01:56.8644828Z 2025-12-04T10:01:56.8645050Z Finished test_modules 1/1 ... [2025-12-04 10:01:56.864057][1364.792181658], took 0.16min 2025-12-04T10:01:56.8685281Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_modules/test_modules-95c860cb21bece9d.xml 2025-12-04T10:01:56.9521298Z Running nn/test_packed_sequence 1/1 ... [2025-12-04 10:01:56.951904][1364.880029464] 2025-12-04T10:01:56.9522120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:56.9524928Z 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 10:01:56.952210] 2025-12-04T10:01:59.8642439Z 2025-12-04T10:01:59.8643322Z 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_1ad15907435d3d00_.log 2025-12-04T10:01:59.8644051Z Running 0 items in this shard: 2025-12-04T10:01:59.8644232Z 2025-12-04T10:01:59.8644495Z Finished nn/test_packed_sequence 1/1 ... [2025-12-04 10:01:59.863995][1367.792119471], took 0.05min 2025-12-04T10:01:59.8685850Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_packed_sequence/nn.test_packed_sequence-b973f09f5b7265ed.xml 2025-12-04T10:01:59.8982114Z Running test_numa_binding 1/1 ... [2025-12-04 10:01:59.897992][1367.826118095] 2025-12-04T10:01:59.8982532Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:59.8985443Z 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 10:01:59.898306] 2025-12-04T10:02:02.8589044Z 2025-12-04T10:02:02.8589876Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_dcba233363751941_.log 2025-12-04T10:02:02.8590527Z Running 0 items in this shard: 2025-12-04T10:02:02.8590714Z 2025-12-04T10:02:02.8590955Z Finished test_numa_binding 1/1 ... [2025-12-04 10:02:02.858655][1370.786776812], took 0.05min 2025-12-04T10:02:02.8633786Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numa_binding/test_numa_binding-79338e79ed758d6c.xml 2025-12-04T10:02:02.8908085Z Running test_pruning_op 1/1 ... [2025-12-04 10:02:02.890592][1370.818717312] 2025-12-04T10:02:02.8908485Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:02.8911555Z 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 10:02:02.890902] 2025-12-04T10:02:05.7814866Z 2025-12-04T10:02:05.7815662Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_ba2bd4a6d93ff634_.log 2025-12-04T10:02:05.7816335Z Running 0 items in this shard: 2025-12-04T10:02:05.7816508Z 2025-12-04T10:02:05.7816762Z Finished test_pruning_op 1/1 ... [2025-12-04 10:02:05.781272][1373.709394456], took 0.05min 2025-12-04T10:02:05.7863897Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pruning_op/test_pruning_op-4d02ab48285ea9bf.xml 2025-12-04T10:02:05.8118571Z Running test_jit_fuser_te 1/1 ... [2025-12-04 10:02:05.811656][1373.73978209] 2025-12-04T10:02:05.8119239Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:05.8122230Z 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 10:02:05.811967] 2025-12-04T10:02:21.0893206Z 2025-12-04T10:02:21.0894026Z 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_8e1a6f637d08dde8_.log 2025-12-04T10:02:21.0894714Z Running 0 items in this shard: 2025-12-04T10:02:21.0894899Z 2025-12-04T10:02:21.0895494Z Finished test_jit_fuser_te 1/1 ... [2025-12-04 10:02:21.089069][1389.017192764], took 0.25min 2025-12-04T10:02:21.0942704Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_fuser_te/test_jit_fuser_te-51736bfbeff5ea2e.xml 2025-12-04T10:02:21.1660046Z Running test_logging 1/1 ... [2025-12-04 10:02:21.165772][1389.093898229] 2025-12-04T10:02:21.1660773Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:21.1663581Z 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 10:02:21.166083] 2025-12-04T10:02:24.0354302Z 2025-12-04T10:02:24.0355188Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_bc7b9c03b567d15f_.log 2025-12-04T10:02:24.0355995Z Running 0 items in this shard: 2025-12-04T10:02:24.0356200Z 2025-12-04T10:02:24.0356462Z Finished test_logging 1/1 ... [2025-12-04 10:02:24.035198][1391.963320616], took 0.05min 2025-12-04T10:02:24.0409715Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_logging/test_logging-63988ee4ea4f3ca4.xml 2025-12-04T10:02:24.0680638Z Running nn/test_lazy_modules 1/1 ... [2025-12-04 10:02:24.067854][1391.995980103] 2025-12-04T10:02:24.0681055Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:24.0684133Z 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 10:02:24.068164] 2025-12-04T10:02:27.3239928Z 2025-12-04T10:02:27.3240800Z 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_f24c0a700615e26b_.log 2025-12-04T10:02:27.3241489Z Running 0 items in this shard: 2025-12-04T10:02:27.3241663Z 2025-12-04T10:02:27.3241918Z Finished nn/test_lazy_modules 1/1 ... [2025-12-04 10:02:27.323804][1395.251927867], took 0.05min 2025-12-04T10:02:27.3293901Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_lazy_modules/nn.test_lazy_modules-441bf2d54e3e479d.xml 2025-12-04T10:02:27.3593493Z Running nn/test_pruning 1/1 ... [2025-12-04 10:02:27.359141][1395.287266455] 2025-12-04T10:02:27.3593907Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:27.3597106Z 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 10:02:27.359449] 2025-12-04T10:02:30.5378554Z 2025-12-04T10:02:30.5379263Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_946bcf64c0bcc704_.log 2025-12-04T10:02:30.5379807Z Running 0 items in this shard: 2025-12-04T10:02:30.5379948Z 2025-12-04T10:02:30.5380141Z Finished nn/test_pruning 1/1 ... [2025-12-04 10:02:30.537641][1398.465764638], took 0.05min 2025-12-04T10:02:30.5434267Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pruning/nn.test_pruning-ef1692ebe58279a2.xml 2025-12-04T10:02:30.5711534Z Running test_monitor 1/1 ... [2025-12-04 10:02:30.570927][1398.499053753] 2025-12-04T10:02:30.5711946Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:30.5715276Z 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 10:02:30.571240] 2025-12-04T10:02:33.4605934Z 2025-12-04T10:02:33.4606675Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_72bb413b15a8a42c_.log 2025-12-04T10:02:33.4607330Z Running 0 items in this shard: 2025-12-04T10:02:33.4607857Z 2025-12-04T10:02:33.4608099Z Finished test_monitor 1/1 ... [2025-12-04 10:02:33.460366][1401.388490028], took 0.05min 2025-12-04T10:02:33.4662292Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_monitor/test_monitor-ba7d490acad482a9.xml 2025-12-04T10:02:33.4983763Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 10:02:33.498122][1401.426247636] 2025-12-04T10:02:33.4984175Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:33.4987096Z 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 10:02:33.498439] 2025-12-04T10:02:36.3947689Z 2025-12-04T10:02:36.3948530Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_4649af0b062d1739_.log 2025-12-04T10:02:36.3949248Z Running 0 items in this shard: 2025-12-04T10:02:36.3949419Z 2025-12-04T10:02:36.3949670Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 10:02:36.394543][1404.322666162], took 0.05min 2025-12-04T10:02:36.4005697Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-0e9cc585c087fcf3.xml 2025-12-04T10:02:36.4996565Z Running test_bundled_inputs 1/1 ... [2025-12-04 10:02:36.499418][1404.427544602] 2025-12-04T10:02:36.4996998Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:36.5000125Z 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 10:02:36.499730] 2025-12-04T10:02:39.4083034Z 2025-12-04T10:02:39.4083858Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_14ca40b32ddb9a8a_.log 2025-12-04T10:02:39.4084575Z Running 0 items in this shard: 2025-12-04T10:02:39.4084756Z 2025-12-04T10:02:39.4085001Z Finished test_bundled_inputs 1/1 ... [2025-12-04 10:02:39.408089][1407.336212323], took 0.05min 2025-12-04T10:02:39.4143918Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_bundled_inputs/test_bundled_inputs-7111cfe5986483d9.xml 2025-12-04T10:02:39.4412703Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 10:02:39.441060][1407.369186474] 2025-12-04T10:02:39.4413196Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:39.4416695Z 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 10:02:39.441417] 2025-12-04T10:02:42.7484255Z 2025-12-04T10:02:42.7485214Z 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_c8230e7350a0d4fb_.log 2025-12-04T10:02:42.7486053Z Running 0 items in this shard: 2025-12-04T10:02:42.7486229Z 2025-12-04T10:02:42.7486552Z Finished torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 10:02:42.748192][1410.676316877], took 0.06min 2025-12-04T10:02:42.7546369Z 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-d1e4a2f00ec1768a.xml 2025-12-04T10:02:42.7811738Z Running torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 10:02:42.780955][1410.709081303] 2025-12-04T10:02:42.7812256Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:42.7815245Z 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 10:02:42.781260] 2025-12-04T10:02:47.0446448Z 2025-12-04T10:02:47.0447439Z 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_d28ad7e90e325179_.log 2025-12-04T10:02:47.0448324Z Running 0 items in this shard: 2025-12-04T10:02:47.0448498Z 2025-12-04T10:02:47.0448844Z Finished torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 10:02:47.044407][1414.97252964], took 0.07min 2025-12-04T10:02:47.0509551Z 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-8447865660f32775.xml 2025-12-04T10:02:47.0795929Z Running test_itt 1/1 ... [2025-12-04 10:02:47.079362][1415.007487709] 2025-12-04T10:02:47.0796306Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:47.0799187Z 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 10:02:47.079653] 2025-12-04T10:02:49.9800457Z 2025-12-04T10:02:49.9801242Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_eabeae194ac99947_.log 2025-12-04T10:02:49.9801850Z Running 0 items in this shard: 2025-12-04T10:02:49.9802024Z 2025-12-04T10:02:49.9802233Z Finished test_itt 1/1 ... [2025-12-04 10:02:49.979824][1417.907946543], took 0.05min 2025-12-04T10:02:49.9866077Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_itt/test_itt-987a8ba9ef285772.xml 2025-12-04T10:02:50.0107270Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 10:02:50.010511][1417.938636784] 2025-12-04T10:02:50.0107786Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:50.0111041Z 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 10:02:50.010811] 2025-12-04T10:02:53.7062988Z 2025-12-04T10:02:53.7064013Z 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_d2bf039537151d1f_.log 2025-12-04T10:02:53.7064861Z Running 0 items in this shard: 2025-12-04T10:02:53.7065034Z 2025-12-04T10:02:53.7065407Z Finished torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 10:02:53.706053][1421.634176964], took 0.06min 2025-12-04T10:02:53.7129307Z 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-f5dd67f33ccdcedb.xml 2025-12-04T10:02:53.7415751Z Running test_masked 1/1 ... [2025-12-04 10:02:53.741354][1421.669479409] 2025-12-04T10:02:53.7416177Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:53.7419524Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_masked.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:53.741644] 2025-12-04T10:02:58.1916140Z 2025-12-04T10:02:58.1916885Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_271df2dadbe8bd81_.log 2025-12-04T10:02:58.1917904Z Running 0 items in this shard: 2025-12-04T10:02:58.1918079Z 2025-12-04T10:02:58.1918293Z Finished test_masked 1/1 ... [2025-12-04 10:02:58.191340][1426.119463981], took 0.07min 2025-12-04T10:02:58.1985748Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_masked/test_masked-9f5d7413e2078abc.xml 2025-12-04T10:02:58.2283501Z Running test_sympy_utils 1/1 ... [2025-12-04 10:02:58.228108][1426.156234337] 2025-12-04T10:02:58.2283923Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:58.2286860Z 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 10:02:58.228402] 2025-12-04T10:03:01.6529579Z 2025-12-04T10:03:01.6530408Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_8f84be87e33073ef_.log 2025-12-04T10:03:01.6531163Z Running 0 items in this shard: 2025-12-04T10:03:01.6531340Z 2025-12-04T10:03:01.6531572Z Finished test_sympy_utils 1/1 ... [2025-12-04 10:03:01.652716][1429.580839688], took 0.06min 2025-12-04T10:03:01.6598780Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sympy_utils/test_sympy_utils-dde1ed10df283450.xml 2025-12-04T10:03:01.7462648Z Running test_subclass 1/1 ... [2025-12-04 10:03:01.745999][1429.674124732] 2025-12-04T10:03:01.7463096Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:01.7466061Z 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 10:03:01.746299] 2025-12-04T10:03:04.7791911Z 2025-12-04T10:03:04.7792719Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_4dd765d0e33fabb0_.log 2025-12-04T10:03:04.7793352Z Running 0 items in this shard: 2025-12-04T10:03:04.7793537Z 2025-12-04T10:03:04.7793764Z Finished test_subclass 1/1 ... [2025-12-04 10:03:04.778963][1432.707086276], took 0.05min 2025-12-04T10:03:04.7864328Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_subclass/test_subclass-bcf2dcb09e437a32.xml 2025-12-04T10:03:04.8110337Z Running test_import_stats 1/1 ... [2025-12-04 10:03:04.810804][1432.738930033] 2025-12-04T10:03:04.8110739Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:04.8113775Z 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 10:03:04.811090] 2025-12-04T10:03:07.6758509Z 2025-12-04T10:03:07.6759325Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_55f213c0a4738c64_.log 2025-12-04T10:03:07.6759993Z Running 0 items in this shard: 2025-12-04T10:03:07.6760171Z 2025-12-04T10:03:07.6760408Z Finished test_import_stats 1/1 ... [2025-12-04 10:03:07.675602][1435.603725373], took 0.05min 2025-12-04T10:03:07.6831586Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_import_stats/test_import_stats-55cd1de4325a868a.xml 2025-12-04T10:03:07.7643435Z Running functorch/test_vmap_registrations 1/1 ... [2025-12-04 10:03:07.764104][1435.69223013] 2025-12-04T10:03:07.7643916Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:07.7646829Z 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 10:03:07.764406] 2025-12-04T10:03:13.0595359Z 2025-12-04T10:03:13.0596312Z 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_9abf4cb750db4926_.log 2025-12-04T10:03:13.0597132Z Running 0 items in this shard: 2025-12-04T10:03:13.0597304Z 2025-12-04T10:03:13.0597653Z Finished functorch/test_vmap_registrations 1/1 ... [2025-12-04 10:03:13.059275][1440.987398667], took 0.09min 2025-12-04T10:03:13.0670100Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap_registrations/functorch.test_vmap_registrations-840429cf81204b28.xml 2025-12-04T10:03:13.0950981Z Running nn/test_parametrization 1/1 ... [2025-12-04 10:03:13.094866][1441.022992854] 2025-12-04T10:03:13.0951457Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:13.0954571Z 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 10:03:13.095179] 2025-12-04T10:03:16.5465596Z 2025-12-04T10:03:16.5466458Z nn/test_parametrization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_parametrization_1.1_f610107b5cf9e4b9_.log 2025-12-04T10:03:16.5467195Z Running 0 items in this shard: 2025-12-04T10:03:16.5467371Z 2025-12-04T10:03:16.5467655Z Finished nn/test_parametrization 1/1 ... [2025-12-04 10:03:16.546290][1444.474413628], took 0.06min 2025-12-04T10:03:16.5543373Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_parametrization/nn.test_parametrization-71cb76cb2cffdea2.xml 2025-12-04T10:03:16.5848523Z Running test_mkldnn_fusion 1/1 ... [2025-12-04 10:03:16.584632][1444.512757758] 2025-12-04T10:03:16.5849085Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:16.5852366Z 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 10:03:16.584953] 2025-12-04T10:03:19.4871471Z 2025-12-04T10:03:19.4872457Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_97ea8870dd4f1d27_.log 2025-12-04T10:03:19.4873163Z Running 0 items in this shard: 2025-12-04T10:03:19.4873342Z 2025-12-04T10:03:19.4873585Z Finished test_mkldnn_fusion 1/1 ... [2025-12-04 10:03:19.486933][1447.415057037], took 0.05min 2025-12-04T10:03:19.4948532Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkldnn_fusion/test_mkldnn_fusion-e482529753124335.xml 2025-12-04T10:03:19.5219647Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:03:19.521738][1447.449864285] 2025-12-04T10:03:19.5220076Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:19.5223715Z 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 10:03:19.522058] 2025-12-04T10:03:23.5839090Z 2025-12-04T10:03:23.5839933Z 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_79d5bf51dd9621b0_.log 2025-12-04T10:03:23.5840626Z Running 0 items in this shard: 2025-12-04T10:03:23.5840809Z 2025-12-04T10:03:23.5841437Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:03:23.583666][1451.511790702], took 0.07min 2025-12-04T10:03:23.5916935Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-db4600edc14cd566.xml 2025-12-04T10:03:23.6189333Z Running test_dynamic_shapes 1/1 ... [2025-12-04 10:03:23.618696][1451.546821446] 2025-12-04T10:03:23.6189773Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:23.6193135Z 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 10:03:23.619009] 2025-12-04T10:03:27.2782769Z 2025-12-04T10:03:27.2783598Z test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dynamic_shapes_1.1_39810f09ca7afaf4_.log 2025-12-04T10:03:27.2784330Z Running 0 items in this shard: 2025-12-04T10:03:27.2784508Z 2025-12-04T10:03:27.2784766Z Finished test_dynamic_shapes 1/1 ... [2025-12-04 10:03:27.278028][1455.206151879], took 0.06min 2025-12-04T10:03:27.2864102Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-43e4997137437b81.xml 2025-12-04T10:03:27.3149737Z Running complex_tensor/test_complex_tensor 1/3 ... [2025-12-04 10:03:27.314737][1455.242863509] 2025-12-04T10:03:27.3150224Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:27.3153361Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'complex_tensor/test_complex_tensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:27.315045] 2025-12-04T10:03:32.3481951Z 2025-12-04T10:03:32.3482606Z complex_tensor/test_complex_tensor 1/3 was successful, full logs can be found in artifacts with path test/test-reports/complex_tensor.test_complex_tensor_1.3_59cddbd53440ce69_.log 2025-12-04T10:03:32.3483326Z Running 0 items in this shard: 2025-12-04T10:03:32.3483497Z 2025-12-04T10:03:32.3483802Z Finished complex_tensor/test_complex_tensor 1/3 ... [2025-12-04 10:03:32.348004][1460.276127289], took 0.08min 2025-12-04T10:03:32.3564703Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/complex_tensor.test_complex_tensor/complex_tensor.test_complex_tensor-a4ad5882d4a57ff6.xml 2025-12-04T10:03:35.3942337Z Running inductor/test_aot_inductor 5/5 ... [2025-12-04 10:03:35.393761][1463.321881635] 2025-12-04T10:03:35.3942973Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:35.3944995Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'not serial', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:35.394188] 2025-12-04T10:03:35.4523598Z Running inductor/test_torchinductor_codegen_dynamic_shapes 1/3 ... [2025-12-04 10:03:35.451931][1463.380051564] 2025-12-04T10:03:35.4524179Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:35.4526495Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:35.452345] 2025-12-04T10:03:35.4602442Z Running inductor/test_torchinductor_opinfo 5/14 ... [2025-12-04 10:03:35.459977][1463.388098085] 2025-12-04T10:03:35.4602925Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:35.4606215Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=5', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:35.460364] 2025-12-04T10:03:44.7175678Z 2025-12-04T10:03:44.7176784Z inductor/test_torchinductor_codegen_dynamic_shapes 1/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_1.3_c61328f26ced516f_.log 2025-12-04T10:03:44.7177582Z Running 0 items in this shard: 2025-12-04T10:03:44.7177724Z 2025-12-04T10:03:44.7178026Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 1/3 ... [2025-12-04 10:03:44.717410][1472.645534258], took 0.15min 2025-12-04T10:03:44.7207762Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-669fd28841dede23.xml 2025-12-04T10:03:48.3936253Z Running inductor/test_torchinductor_opinfo 6/14 ... [2025-12-04 10:03:48.393156][1476.32127603] 2025-12-04T10:03:48.3937181Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:48.3940038Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=6', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:48.393599] 2025-12-04T10:03:49.4004879Z 2025-12-04T10:03:49.4006072Z inductor/test_torchinductor_opinfo 5/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_5.14_dfebcf8d7c054d1a_.log 2025-12-04T10:03:49.4030363Z Running 50 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16 2025-12-04T10:03:49.4052430Z 2025-12-04T10:03:49.4052699Z Finished inductor/test_torchinductor_opinfo 5/14 ... [2025-12-04 10:03:49.400425][1477.328547637], took 0.23min 2025-12-04T10:03:49.4053677Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-6174dde75900d9e0.xml 2025-12-04T10:03:53.0985220Z Running inductor/test_torchinductor_opinfo 14/14 ... [2025-12-04 10:03:53.098023][1481.026144692] 2025-12-04T10:03:53.0986047Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:53.0987962Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=14', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:53.098477] 2025-12-04T10:04:01.7901137Z 2025-12-04T10:04:01.7902641Z inductor/test_torchinductor_opinfo 6/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_6.14_f987801baf91831b_.log 2025-12-04T10:04:01.7938049Z Running 100 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32 2025-12-04T10:04:01.7970089Z 2025-12-04T10:04:01.7970379Z Finished inductor/test_torchinductor_opinfo 6/14 ... [2025-12-04 10:04:01.790224][1489.718344212], took 0.22min 2025-12-04T10:04:01.7971240Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-d825fc43d4683136.xml 2025-12-04T10:04:05.3948398Z Running inductor/test_deterministic 2/3 ... [2025-12-04 10:04:05.394363][1493.322483647] 2025-12-04T10:04:05.3949334Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:05.3950996Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'not serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:05.394776] 2025-12-04T10:04:06.3141919Z 2025-12-04T10:04:06.3143182Z inductor/test_torchinductor_opinfo 14/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_14.14_bb8739d5a9322f3b_.log 2025-12-04T10:04:06.3161838Z Running 50 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16 2025-12-04T10:04:06.3177516Z 2025-12-04T10:04:06.3177780Z Finished inductor/test_torchinductor_opinfo 14/14 ... [2025-12-04 10:04:06.314123][1494.242242508], took 0.22min 2025-12-04T10:04:06.3183578Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-a57035e9c4be10b6.xml 2025-12-04T10:04:10.0174527Z Running inductor/test_deterministic 3/3 ... [2025-12-04 10:04:10.016995][1497.945115108] 2025-12-04T10:04:10.0174965Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:10.0177290Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'not serial', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:10.017417] 2025-12-04T10:04:11.8592544Z 2025-12-04T10:04:11.8593774Z inductor/test_deterministic 2/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_2.3_5b056c90a90c6f81_.log 2025-12-04T10:04:11.8595594Z Running 0 items in this shard: 2025-12-04T10:04:11.8595842Z 2025-12-04T10:04:11.8596361Z Finished inductor/test_deterministic 2/3 ... [2025-12-04 10:04:11.859137][1499.787260765], took 0.11min 2025-12-04T10:04:11.8636147Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_deterministic/inductor.test_deterministic-b22cae222dccf172.xml 2025-12-04T10:04:15.6059736Z Running test_decomp 2/17 ... [2025-12-04 10:04:15.605474][1503.533594677] 2025-12-04T10:04:15.6060234Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:15.6062727Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=2', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:15.605952] 2025-12-04T10:04:16.4012292Z 2025-12-04T10:04:16.4013333Z inductor/test_deterministic 3/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_3.3_fa9226c27ddd6afd_.log 2025-12-04T10:04:16.4014231Z Running 0 items in this shard: 2025-12-04T10:04:16.4014429Z 2025-12-04T10:04:16.4014732Z Finished inductor/test_deterministic 3/3 ... [2025-12-04 10:04:16.401085][1504.329209612], took 0.11min 2025-12-04T10:04:16.4076618Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_deterministic/inductor.test_deterministic-7ff89e92248af0bf.xml 2025-12-04T10:04:20.1694860Z Running test_decomp 5/17 ... [2025-12-04 10:04:20.169030][1508.097149246] 2025-12-04T10:04:20.1695217Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:20.1697556Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=5', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:20.169487] 2025-12-04T10:04:33.2180185Z 2025-12-04T10:04:33.2181491Z test_decomp 2/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_2.17_5e551c127a3e7983_.log 2025-12-04T10:04:33.2182539Z Running 0 items in this shard: 2025-12-04T10:04:33.2182831Z 2025-12-04T10:04:33.2183198Z Finished test_decomp 2/17 ... [2025-12-04 10:04:33.217882][1521.146005573], took 0.29min 2025-12-04T10:04:33.2229730Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-07b9d01e787dbefe.xml 2025-12-04T10:04:36.9357441Z Running test_decomp 6/17 ... [2025-12-04 10:04:36.935283][1524.863403407] 2025-12-04T10:04:36.9357832Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:36.9360092Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=6', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:36.935707] 2025-12-04T10:04:37.6968595Z 2025-12-04T10:04:37.6969495Z test_decomp 5/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_5.17_bc21e460df40c37d_.log 2025-12-04T10:04:37.6970226Z Running 0 items in this shard: 2025-12-04T10:04:37.6970418Z 2025-12-04T10:04:37.6970961Z Finished test_decomp 5/17 ... [2025-12-04 10:04:37.696729][1525.624852471], took 0.29min 2025-12-04T10:04:37.7018525Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-57a2b00c59138c37.xml 2025-12-04T10:04:41.4280904Z Running test_meta 1/4 ... [2025-12-04 10:04:41.427642][1529.355760762] 2025-12-04T10:04:41.4281330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:41.4284796Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_meta.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 10:04:41.428173] 2025-12-04T10:04:54.6532064Z 2025-12-04T10:04:54.6533094Z test_decomp 6/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_6.17_b11a0c7ac68f969f_.log 2025-12-04T10:04:54.6533790Z Running 0 items in this shard: 2025-12-04T10:04:54.6534002Z 2025-12-04T10:04:54.6535343Z Finished test_decomp 6/17 ... [2025-12-04 10:04:54.653133][1542.581252815], took 0.30min 2025-12-04T10:04:54.6582870Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-02f45f2b177ad821.xml 2025-12-04T10:04:58.3332850Z Running test_meta 3/4 ... [2025-12-04 10:04:58.332824][1546.260945124] 2025-12-04T10:04:58.3333319Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:58.3335390Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_meta.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 10:04:58.333237] 2025-12-04T10:05:43.7093340Z 2025-12-04T10:05:43.7094261Z test_meta 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.4_ab2d6e215d5692df_.log 2025-12-04T10:05:43.7094941Z Running 0 items in this shard: 2025-12-04T10:05:43.7095122Z 2025-12-04T10:05:43.7095340Z Finished test_meta 1/4 ... [2025-12-04 10:05:43.709197][1591.637319398], took 1.04min 2025-12-04T10:05:43.7152113Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_meta/test_meta-edfdffacf0095daa.xml 2025-12-04T10:05:47.3390583Z Running test_meta 4/4 ... [2025-12-04 10:05:47.338582][1595.266701697] 2025-12-04T10:05:47.3391074Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:47.3393584Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_meta.py', '-m', 'not serial', '--shard-id=4', '--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 10:05:47.339040] 2025-12-04T10:05:59.4806244Z 2025-12-04T10:05:59.4807312Z test_meta 3/4 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_3.4_a1e4c3317fb15f52_.log 2025-12-04T10:05:59.4808248Z Running 0 items in this shard: 2025-12-04T10:05:59.4808444Z 2025-12-04T10:05:59.4808664Z Finished test_meta 3/4 ... [2025-12-04 10:05:59.480516][1607.40863819], took 1.02min 2025-12-04T10:05:59.4865024Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_meta/test_meta-d241dce70b6263e1.xml 2025-12-04T10:06:03.2325708Z Running test_ops 4/9 ... [2025-12-04 10:06:03.232078][1611.160199088] 2025-12-04T10:06:03.2326169Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:03.2328784Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=4', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:03.232537] 2025-12-04T10:06:48.4503221Z 2025-12-04T10:06:48.4504560Z test_meta 4/4 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_4.4_f8f005929e2763ed_.log 2025-12-04T10:06:48.4505254Z Running 0 items in this shard: 2025-12-04T10:06:48.4505402Z 2025-12-04T10:06:48.4505601Z Finished test_meta 4/4 ... [2025-12-04 10:06:48.450205][1656.378328684], took 1.02min 2025-12-04T10:06:48.4576809Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_meta/test_meta-b8e25fb9c3a7f01a.xml 2025-12-04T10:06:52.1257641Z Running test_ops 8/9 ... [2025-12-04 10:06:52.125317][1660.053437065] 2025-12-04T10:06:52.1258089Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:52.1260237Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=8', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:52.125760] 2025-12-04T10:06:58.4737781Z 2025-12-04T10:06:58.4738991Z test_ops 4/9 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.9_b40602b18a54afb6_.log 2025-12-04T10:06:58.4739981Z Running 0 items in this shard: 2025-12-04T10:06:58.4740278Z 2025-12-04T10:06:58.4740617Z Finished test_ops 4/9 ... [2025-12-04 10:06:58.473665][1666.401787434], took 0.92min 2025-12-04T10:06:58.4802619Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-574cb9a707a3fb44.xml 2025-12-04T10:07:02.1583647Z Running functorch/test_dims 1/1 ... [2025-12-04 10:07:02.157945][1670.086066838] 2025-12-04T10:07:02.1584298Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:02.1586280Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_dims.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:02.158356] 2025-12-04T10:07:31.7839889Z 2025-12-04T10:07:31.7843347Z PRINTING LOG FILE of functorch/test_dims 1/1 (test/test-reports/functorch.test_dims_1.1_4e1fbcd4a02342f3_.log) 2025-12-04T10:07:31.7844982Z Test results will be stored in test-reports/python-pytest/functorch.test_dims/functorch.test_dims-f0e16a3fe2668374.xml 2025-12-04T10:07:31.7845977Z ============================= test session starts ============================== 2025-12-04T10:07:31.7846758Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:07:31.7847411Z cachedir: .pytest_cache 2025-12-04T10:07:31.7848142Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:07:31.7848862Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:07:31.7849244Z configfile: pytest.ini 2025-12-04T10:07:31.7850032Z 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 2025-12-04T10:07:31.7850883Z collecting ... collected 68 items 2025-12-04T10:07:31.7851362Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:07:31.7863932Z Running 50 items in this shard: test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda 2025-12-04T10:07:31.7874346Z 2025-12-04T10:07:31.7874694Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.8015s] [ 2%] 2025-12-04T10:07:31.7875451Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7876215Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5264s] [ 2%] 2025-12-04T10:07:31.7876953Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7877689Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5364s] [ 2%] 2025-12-04T10:07:31.7878430Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7879166Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5192s] [ 2%] 2025-12-04T10:07:31.7879898Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7880622Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5128s] [ 2%] 2025-12-04T10:07:31.7881370Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7882117Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5316s] [ 2%] 2025-12-04T10:07:31.7882850Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7883578Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4994s] [ 2%] 2025-12-04T10:07:31.7884317Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7885053Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5048s] [ 2%] 2025-12-04T10:07:31.7885789Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7886526Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5129s] [ 2%] 2025-12-04T10:07:31.7887265Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7887995Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5133s] [ 2%] 2025-12-04T10:07:31.7888880Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0002s] [ 2%] 2025-12-04T10:07:31.7889758Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5171s] [ 2%] 2025-12-04T10:07:31.7890509Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7891242Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5548s] [ 2%] 2025-12-04T10:07:31.7891978Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7892864Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5291s] [ 2%] 2025-12-04T10:07:31.7893600Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7894326Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5360s] [ 2%] 2025-12-04T10:07:31.7895055Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7895791Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5078s] [ 2%] 2025-12-04T10:07:31.7896532Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7897250Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5004s] [ 2%] 2025-12-04T10:07:31.7897991Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7898725Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5053s] [ 2%] 2025-12-04T10:07:31.7899448Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7900156Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5132s] [ 2%] 2025-12-04T10:07:31.7900812Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0002s] [ 2%] 2025-12-04T10:07:31.7901578Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5307s] [ 2%] 2025-12-04T10:07:31.7902254Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7902971Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5263s] [ 2%] 2025-12-04T10:07:31.7903702Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0002s] [ 2%] 2025-12-04T10:07:31.7904450Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5344s] [ 2%] 2025-12-04T10:07:31.7905193Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7905969Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5081s] [ 2%] 2025-12-04T10:07:31.7906722Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7907471Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5039s] [ 2%] 2025-12-04T10:07:31.7908228Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7908982Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4980s] [ 2%] 2025-12-04T10:07:31.7909744Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7910505Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4999s] [ 2%] 2025-12-04T10:07:31.7911266Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7912022Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4897s] [ 2%] 2025-12-04T10:07:31.7912768Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7913534Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4935s] [ 2%] 2025-12-04T10:07:31.7914288Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7915167Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4917s] [ 2%] 2025-12-04T10:07:31.7915946Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7916707Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4935s] [ 2%] 2025-12-04T10:07:31.7917662Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7918433Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5035s] [ 2%] 2025-12-04T10:07:31.7919709Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7920464Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5622s] [ 2%] 2025-12-04T10:07:31.7922646Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7923410Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5297s] [ 2%] 2025-12-04T10:07:31.7924171Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7924943Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5054s] [ 2%] 2025-12-04T10:07:31.7925712Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7926485Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5152s] [ 2%] 2025-12-04T10:07:31.7927252Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7928007Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4971s] [ 2%] 2025-12-04T10:07:31.7928751Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7929517Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4953s] [ 2%] 2025-12-04T10:07:31.7930283Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7931036Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4989s] [ 2%] 2025-12-04T10:07:31.7931784Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7932538Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4949s] [ 2%] 2025-12-04T10:07:31.7933289Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7934038Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5027s] [ 2%] 2025-12-04T10:07:31.7934792Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7935553Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5278s] [ 2%] 2025-12-04T10:07:31.7936313Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7937093Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5332s] [ 2%] 2025-12-04T10:07:31.7937858Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7938605Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4892s] [ 2%] 2025-12-04T10:07:31.7939354Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7940109Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5101s] [ 2%] 2025-12-04T10:07:31.7940861Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7941734Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5009s] [ 2%] 2025-12-04T10:07:31.7942504Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7943269Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4961s] [ 2%] 2025-12-04T10:07:31.7944029Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7944785Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4930s] [ 2%] 2025-12-04T10:07:31.7945536Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7946303Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4937s] [ 2%] 2025-12-04T10:07:31.7947070Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7947835Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.4979s] [ 2%] 2025-12-04T10:07:31.7948800Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7949582Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5164s] [ 2%] 2025-12-04T10:07:31.7950337Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:07:31.7951091Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5274s] [ 2%] 2025-12-04T10:07:31.7969468Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0005s] [ 2%] 2025-12-04T10:07:31.7969983Z 2025-12-04T10:07:31.7970157Z ==================================== ERRORS ==================================== 2025-12-04T10:07:31.7970718Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.7971260Z Traceback (most recent call last): 2025-12-04T10:07:31.7971890Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.7972520Z import refcycle 2025-12-04T10:07:31.7972894Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.7973452Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.7974638Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.7975851Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.7977017Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.7978165Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.7978749Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.7979293Z Traceback (most recent call last): 2025-12-04T10:07:31.7979928Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.7980549Z import refcycle 2025-12-04T10:07:31.7980913Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.7981596Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.7982799Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.7983957Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.7985117Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.7986269Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.7986827Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.7988028Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.7989192Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.7989778Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.7990313Z Traceback (most recent call last): 2025-12-04T10:07:31.7990942Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.7991572Z import refcycle 2025-12-04T10:07:31.7991926Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.7992475Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.7993669Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.7994816Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.7996064Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.7997231Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.7997806Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.7999130Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8000257Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8000843Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8001371Z Traceback (most recent call last): 2025-12-04T10:07:31.8001978Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8002578Z import refcycle 2025-12-04T10:07:31.8002930Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8003463Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8004650Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8005806Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8006948Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8008072Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8008613Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8009793Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8010929Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8011508Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8012029Z Traceback (most recent call last): 2025-12-04T10:07:31.8012632Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8013259Z import refcycle 2025-12-04T10:07:31.8013609Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8014171Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8015363Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8016456Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8017609Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8019138Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8019734Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8020978Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8022282Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8022846Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8023408Z Traceback (most recent call last): 2025-12-04T10:07:31.8024053Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8024670Z import refcycle 2025-12-04T10:07:31.8025034Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8025817Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8027061Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8028245Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8029449Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8030733Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8031264Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8032405Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8033440Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8033980Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8034485Z Traceback (most recent call last): 2025-12-04T10:07:31.8035065Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8035653Z import refcycle 2025-12-04T10:07:31.8035997Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8036506Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8037643Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8038751Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8039813Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8040871Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8041418Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8042483Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8043535Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8044083Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8044570Z Traceback (most recent call last): 2025-12-04T10:07:31.8045153Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8045743Z import refcycle 2025-12-04T10:07:31.8046102Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8046620Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8047847Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8048975Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8050064Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8051230Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8051774Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8052798Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8053809Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8054573Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8055217Z Traceback (most recent call last): 2025-12-04T10:07:31.8055800Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8056462Z import refcycle 2025-12-04T10:07:31.8056702Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8057021Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8057816Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8058466Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8059099Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8059750Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8060090Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8060760Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8061512Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8061853Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8062185Z Traceback (most recent call last): 2025-12-04T10:07:31.8062541Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8062886Z import refcycle 2025-12-04T10:07:31.8063093Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8063397Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8064065Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8064702Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8065327Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8065951Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8066275Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8066920Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8067546Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8067877Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8068289Z Traceback (most recent call last): 2025-12-04T10:07:31.8068884Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8069514Z import refcycle 2025-12-04T10:07:31.8069860Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8070390Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8071318Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8071966Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8072589Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8073214Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8073527Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8074285Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8074990Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8075562Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8076068Z Traceback (most recent call last): 2025-12-04T10:07:31.8076768Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8077361Z import refcycle 2025-12-04T10:07:31.8077722Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8078277Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8079488Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8080672Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8081852Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8082988Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8083540Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8084771Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8085951Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8086543Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8087101Z Traceback (most recent call last): 2025-12-04T10:07:31.8087723Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8088354Z import refcycle 2025-12-04T10:07:31.8088715Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8089276Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8090488Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8091672Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8092838Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8093996Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8094563Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8095774Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8096953Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8097555Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8098095Z Traceback (most recent call last): 2025-12-04T10:07:31.8098717Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8099356Z import refcycle 2025-12-04T10:07:31.8099709Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8100252Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8101604Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8102794Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8104093Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8105260Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8105847Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8107068Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8108395Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8108993Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8109540Z Traceback (most recent call last): 2025-12-04T10:07:31.8110164Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8110787Z import refcycle 2025-12-04T10:07:31.8111144Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8111709Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8112928Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8114098Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8115264Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8116431Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8116992Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8118224Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8119700Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8120319Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8120865Z Traceback (most recent call last): 2025-12-04T10:07:31.8121492Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8122121Z import refcycle 2025-12-04T10:07:31.8122479Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8123037Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8124250Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8125445Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8126607Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8127802Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8128367Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8129577Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8130745Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8131361Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8131909Z Traceback (most recent call last): 2025-12-04T10:07:31.8132535Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8133160Z import refcycle 2025-12-04T10:07:31.8133519Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8134068Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8135472Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8136659Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8137824Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8139171Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8139739Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8140943Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8142208Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8142812Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8143363Z Traceback (most recent call last): 2025-12-04T10:07:31.8143987Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8144622Z import refcycle 2025-12-04T10:07:31.8144972Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8145526Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8146747Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8147921Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8149085Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8150240Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8150817Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8152020Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8153183Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8153777Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8154330Z Traceback (most recent call last): 2025-12-04T10:07:31.8154946Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8155581Z import refcycle 2025-12-04T10:07:31.8155939Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8156480Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8157715Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8158895Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8160062Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8161161Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8161720Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8162884Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8163991Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8164560Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8165081Z Traceback (most recent call last): 2025-12-04T10:07:31.8165814Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8166430Z import refcycle 2025-12-04T10:07:31.8166769Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8167283Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8168409Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8169635Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8170757Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8171875Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8172418Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8173569Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8174675Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8175249Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8175761Z Traceback (most recent call last): 2025-12-04T10:07:31.8176311Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8176914Z import refcycle 2025-12-04T10:07:31.8177263Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8177799Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8178949Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8179986Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8181216Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8182311Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8182672Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8183352Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8183988Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8184314Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8184618Z Traceback (most recent call last): 2025-12-04T10:07:31.8184971Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8185318Z import refcycle 2025-12-04T10:07:31.8185534Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8185847Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8186500Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8187136Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8187763Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8188737Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8189273Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8190587Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8191794Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8192387Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8192882Z Traceback (most recent call last): 2025-12-04T10:07:31.8193492Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8194115Z import refcycle 2025-12-04T10:07:31.8194334Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8194652Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8195317Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8195968Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8196597Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8197229Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8197538Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8198179Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8198800Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8199138Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8199436Z Traceback (most recent call last): 2025-12-04T10:07:31.8199778Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8200115Z import refcycle 2025-12-04T10:07:31.8200321Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8200627Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8201279Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8202198Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8203354Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8204451Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8204953Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8206026Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8207163Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8207760Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8208261Z Traceback (most recent call last): 2025-12-04T10:07:31.8208624Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8208978Z import refcycle 2025-12-04T10:07:31.8209183Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8209506Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8210173Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8210825Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8211449Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8212224Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8212553Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8213198Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8213894Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8214227Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8214537Z Traceback (most recent call last): 2025-12-04T10:07:31.8214882Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8215237Z import refcycle 2025-12-04T10:07:31.8215442Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8215747Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8216396Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8217030Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8217653Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8218277Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8218579Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8219563Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8220201Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8220532Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8220839Z Traceback (most recent call last): 2025-12-04T10:07:31.8221286Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8221640Z import refcycle 2025-12-04T10:07:31.8221841Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8222148Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8222807Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8223426Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8224057Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8224675Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8224985Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8225617Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8226257Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8226581Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8226881Z Traceback (most recent call last): 2025-12-04T10:07:31.8227214Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8227558Z import refcycle 2025-12-04T10:07:31.8227759Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8228054Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8228880Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8229508Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8230138Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8230749Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8231158Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8231799Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8232418Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8232734Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8233028Z Traceback (most recent call last): 2025-12-04T10:07:31.8233373Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8233710Z import refcycle 2025-12-04T10:07:31.8233909Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8234227Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8234874Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8235572Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8236200Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8236818Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8237113Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8237779Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8238394Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8238718Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8239018Z Traceback (most recent call last): 2025-12-04T10:07:31.8239363Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8239699Z import refcycle 2025-12-04T10:07:31.8239897Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8240207Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8240851Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8241479Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8242099Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8242713Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8243009Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8243652Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8244270Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8244590Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8244874Z Traceback (most recent call last): 2025-12-04T10:07:31.8245208Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8245552Z import refcycle 2025-12-04T10:07:31.8245830Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8246138Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8246782Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8247490Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8248101Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8248709Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8249012Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8249657Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8250266Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8250584Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8250878Z Traceback (most recent call last): 2025-12-04T10:07:31.8251207Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8251551Z import refcycle 2025-12-04T10:07:31.8251746Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8252041Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8252676Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8253305Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8253930Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8254548Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8254847Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8255490Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8256118Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8256433Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8256727Z Traceback (most recent call last): 2025-12-04T10:07:31.8257061Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8257400Z import refcycle 2025-12-04T10:07:31.8257590Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8257890Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8258532Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8259147Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8259774Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8260392Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8260702Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8261435Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8262145Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8262476Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8262769Z Traceback (most recent call last): 2025-12-04T10:07:31.8263103Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8263446Z import refcycle 2025-12-04T10:07:31.8263717Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8264009Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8264660Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8265285Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8265914Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8266526Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8266829Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8267471Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8268095Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8268410Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8268701Z Traceback (most recent call last): 2025-12-04T10:07:31.8269040Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8269375Z import refcycle 2025-12-04T10:07:31.8269569Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8269865Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8270516Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8271136Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8271756Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8272381Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8272677Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8273316Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8273935Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8274261Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8274546Z Traceback (most recent call last): 2025-12-04T10:07:31.8274884Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8275228Z import refcycle 2025-12-04T10:07:31.8275436Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8275732Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8276382Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8277004Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8277613Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8278227Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8278624Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8279267Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8279892Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8280291Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8280582Z Traceback (most recent call last): 2025-12-04T10:07:31.8280920Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8281257Z import refcycle 2025-12-04T10:07:31.8281453Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8281755Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8282399Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8283017Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8283638Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8284254Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8284558Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8285199Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8285827Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8286143Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8286429Z Traceback (most recent call last): 2025-12-04T10:07:31.8286767Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8287111Z import refcycle 2025-12-04T10:07:31.8287298Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8287592Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8288243Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8288869Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8289474Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8290090Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8290391Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8291035Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8291646Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8291968Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8292265Z Traceback (most recent call last): 2025-12-04T10:07:31.8292594Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8292935Z import refcycle 2025-12-04T10:07:31.8293130Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8293419Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8294062Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8294769Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8295396Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8296003Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8296310Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8297013Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8297632Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8297947Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8298239Z Traceback (most recent call last): 2025-12-04T10:07:31.8298578Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8298926Z import refcycle 2025-12-04T10:07:31.8299119Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8299419Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8300061Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8300684Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8301418Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8302039Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8302346Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8302985Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8303606Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8303927Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8304221Z Traceback (most recent call last): 2025-12-04T10:07:31.8304549Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8304902Z import refcycle 2025-12-04T10:07:31.8305132Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8305476Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8306244Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8306985Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8307639Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8308249Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8308565Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8309207Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8309828Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8310142Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8310430Z Traceback (most recent call last): 2025-12-04T10:07:31.8310762Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8311098Z import refcycle 2025-12-04T10:07:31.8311292Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8311666Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8312307Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8312927Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8313612Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8314221Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8314519Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8315171Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8315798Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8316120Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8316415Z Traceback (most recent call last): 2025-12-04T10:07:31.8316753Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8317094Z import refcycle 2025-12-04T10:07:31.8317289Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8317607Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8318270Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8319244Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8319886Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8320516Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8320836Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8321487Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8322116Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8322450Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8322757Z Traceback (most recent call last): 2025-12-04T10:07:31.8323096Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8323459Z import refcycle 2025-12-04T10:07:31.8323669Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8323980Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8324621Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8325254Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8325889Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8326514Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8326817Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8327472Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8328098Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8328573Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8328875Z Traceback (most recent call last): 2025-12-04T10:07:31.8329217Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8329561Z import refcycle 2025-12-04T10:07:31.8329758Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8330056Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8330818Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8331440Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8332049Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8332666Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8332974Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8333611Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8334244Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8334577Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8334872Z Traceback (most recent call last): 2025-12-04T10:07:31.8335203Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8335551Z import refcycle 2025-12-04T10:07:31.8335754Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8336044Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8336705Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8337329Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8337948Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8338564Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8338875Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8339519Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8340140Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8340460Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8340754Z Traceback (most recent call last): 2025-12-04T10:07:31.8341195Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8341536Z import refcycle 2025-12-04T10:07:31.8341735Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8342037Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8342698Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8343320Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8343942Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8344558Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8344864Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8345589Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8346222Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8346562Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8346924Z Traceback (most recent call last): 2025-12-04T10:07:31.8347267Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8347614Z import refcycle 2025-12-04T10:07:31.8347812Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8348107Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8348752Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8349380Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8350008Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8350622Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8350921Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8351835Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8352461Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8352775Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8353065Z Traceback (most recent call last): 2025-12-04T10:07:31.8353398Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8353735Z import refcycle 2025-12-04T10:07:31.8353932Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8354229Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8354868Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8355501Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8356119Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8356731Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8357027Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8357671Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8358288Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8358610Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:07:31.8358895Z Traceback (most recent call last): 2025-12-04T10:07:31.8359229Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:07:31.8359575Z import refcycle 2025-12-04T10:07:31.8359766Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.8360064Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8360725Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8361352Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8362043Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8362661Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8362965Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8363603Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8364287Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8364568Z =================================== FAILURES =================================== 2025-12-04T10:07:31.8364877Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8365166Z Traceback (most recent call last): 2025-12-04T10:07:31.8365529Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8365905Z self.attn( 2025-12-04T10:07:31.8366195Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8366532Z a_out = A(hidden_state) 2025-12-04T10:07:31.8366978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8367459Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8367886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8368322Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8368667Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8369096Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8369572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8370016Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8370486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8371001Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8371522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8372003Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8374114Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 982.64 MiB is allocated by PyTorch, and 19.36 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8376150Z 2025-12-04T10:07:31.8376286Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8376624Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8376823Z 2025-12-04T10:07:31.8376994Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8377365Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8378030Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8378752Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8379397Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8380022Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8380328Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8380691Z Traceback (most recent call last): 2025-12-04T10:07:31.8381137Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8381507Z self.attn( 2025-12-04T10:07:31.8381791Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8382129Z a_out = A(hidden_state) 2025-12-04T10:07:31.8382553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8383021Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8383450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8383881Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8384217Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8384645Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8385116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8385540Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8386016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8386526Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8387058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8387533Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8389630Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8391614Z 2025-12-04T10:07:31.8391752Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8392091Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8392294Z 2025-12-04T10:07:31.8392462Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8392843Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8393514Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8394161Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8394790Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8395417Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8395810Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8396478Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8397112Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8397521Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8397817Z Traceback (most recent call last): 2025-12-04T10:07:31.8398185Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8398550Z self.attn( 2025-12-04T10:07:31.8398829Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8399164Z a_out = A(hidden_state) 2025-12-04T10:07:31.8399585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8400047Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8400473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8400916Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8401260Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8401672Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8402141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8402569Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8403024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8403528Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8404045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8404513Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8406901Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8408882Z 2025-12-04T10:07:31.8409021Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8409348Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8409554Z 2025-12-04T10:07:31.8409715Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8410086Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8410752Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8411390Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8412024Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8412648Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8413030Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8413678Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8414308Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8414688Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8414969Z Traceback (most recent call last): 2025-12-04T10:07:31.8415333Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8415707Z self.attn( 2025-12-04T10:07:31.8415991Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8416317Z a_out = A(hidden_state) 2025-12-04T10:07:31.8416745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8417211Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8417629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8428661Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8429121Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8429589Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8430075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8430527Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8431010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8431517Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8432048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8432522Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8434602Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8436573Z 2025-12-04T10:07:31.8436714Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8437061Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8437266Z 2025-12-04T10:07:31.8437435Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8437823Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8438509Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8439155Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8439788Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8440442Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8440994Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8441688Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8442322Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8442771Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8443068Z Traceback (most recent call last): 2025-12-04T10:07:31.8443439Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8443803Z self.attn( 2025-12-04T10:07:31.8444090Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8444424Z a_out = A(hidden_state) 2025-12-04T10:07:31.8444872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8445344Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8445771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8446192Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8446544Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8446965Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8447434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8447856Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8448317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8448830Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8449345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8449815Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8451893Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8453849Z 2025-12-04T10:07:31.8453996Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8454337Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8454541Z 2025-12-04T10:07:31.8454712Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8455086Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8455756Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8456396Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8457024Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8457716Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8458042Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8458707Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8459342Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8459723Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8460024Z Traceback (most recent call last): 2025-12-04T10:07:31.8460391Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8460749Z self.attn( 2025-12-04T10:07:31.8461135Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8461493Z a_out = A(hidden_state) 2025-12-04T10:07:31.8461935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8462404Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8462832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8463265Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8463601Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8464035Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8464504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8464935Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8465397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8465913Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8466430Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8466899Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8469007Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8470991Z 2025-12-04T10:07:31.8471127Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8471466Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8471665Z 2025-12-04T10:07:31.8471827Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8472209Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8472876Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8473511Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8474130Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8474906Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8475230Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8475882Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8476503Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8476885Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8477174Z Traceback (most recent call last): 2025-12-04T10:07:31.8477547Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8477905Z self.attn( 2025-12-04T10:07:31.8478188Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8478523Z a_out = A(hidden_state) 2025-12-04T10:07:31.8478945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8479407Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8479830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8480257Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8480594Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8481010Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8481474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8481895Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8482359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8482863Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8483380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8483840Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8485943Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8487925Z 2025-12-04T10:07:31.8488059Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8488399Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8488600Z 2025-12-04T10:07:31.8488768Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8489136Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8489794Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8490429Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8491055Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8491764Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8492086Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8492736Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8493429Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8493732Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8494014Z Traceback (most recent call last): 2025-12-04T10:07:31.8494380Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8494739Z self.attn( 2025-12-04T10:07:31.8495016Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8495352Z a_out = A(hidden_state) 2025-12-04T10:07:31.8495792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8496254Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8496675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8497100Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8497442Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8497844Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8498305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8498729Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8499197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8499702Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8500217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8500680Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8502848Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8504827Z 2025-12-04T10:07:31.8504966Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8505293Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8505499Z 2025-12-04T10:07:31.8505663Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8506056Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8506721Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8507351Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8507978Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8508676Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8508985Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8509631Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8510319Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8510642Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8510922Z Traceback (most recent call last): 2025-12-04T10:07:31.8511286Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8511646Z self.attn( 2025-12-04T10:07:31.8511928Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8512256Z a_out = A(hidden_state) 2025-12-04T10:07:31.8512687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8513150Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8513582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8514010Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8514355Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8514770Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8515238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8515663Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8516123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8516623Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8517140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8517609Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8520067Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8522068Z 2025-12-04T10:07:31.8522206Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8522545Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8522746Z 2025-12-04T10:07:31.8522911Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8523286Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8523942Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8524571Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8525188Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8525944Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8526084Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8526524Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8526742Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8526870Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8526948Z Traceback (most recent call last): 2025-12-04T10:07:31.8527165Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8527232Z self.attn( 2025-12-04T10:07:31.8527413Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8527482Z a_out = A(hidden_state) 2025-12-04T10:07:31.8527934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8528067Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8528495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8528620Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8528929Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8529176Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8529583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8529695Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8529988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8530136Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8530440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8530529Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8532474Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8532484Z 2025-12-04T10:07:31.8532619Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8532752Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8532756Z 2025-12-04T10:07:31.8532917Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8533054Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8533503Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8533613Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8534184Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8534300Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8534430Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8534874Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8535050Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8535173Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8535271Z Traceback (most recent call last): 2025-12-04T10:07:31.8535503Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8535572Z self.attn( 2025-12-04T10:07:31.8535757Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8535827Z a_out = A(hidden_state) 2025-12-04T10:07:31.8536140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8536225Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8536496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8536582Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8536819Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8537045Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8537402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8537560Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8537998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8538263Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8538777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8538921Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8541686Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8541710Z 2025-12-04T10:07:31.8541863Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8541995Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8542005Z 2025-12-04T10:07:31.8542174Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8542314Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8542774Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8542894Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8543460Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8543596Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8543735Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8544184Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8544367Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8544492Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8544581Z Traceback (most recent call last): 2025-12-04T10:07:31.8544803Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8544871Z self.attn( 2025-12-04T10:07:31.8545063Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8545133Z a_out = A(hidden_state) 2025-12-04T10:07:31.8545457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8545543Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8545814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8545904Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8546090Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8546244Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8546492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8546593Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8546883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8547024Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8547322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8547417Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8549346Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8549362Z 2025-12-04T10:07:31.8549507Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8549634Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8549638Z 2025-12-04T10:07:31.8549806Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8549937Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8550388Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8550503Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8551006Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8551120Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8551247Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8551683Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8551858Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8551981Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8552063Z Traceback (most recent call last): 2025-12-04T10:07:31.8552284Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8552345Z self.attn( 2025-12-04T10:07:31.8552535Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8552605Z a_out = A(hidden_state) 2025-12-04T10:07:31.8552903Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8552989Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8553258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8553343Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8553528Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8553670Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8553928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8554037Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8554327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8554470Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8554770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8554865Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8556786Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8556794Z 2025-12-04T10:07:31.8556934Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8557064Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8557070Z 2025-12-04T10:07:31.8557238Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8557370Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8557816Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8557935Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8558443Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8558556Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8558686Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8559116Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8559319Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8559453Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8559541Z Traceback (most recent call last): 2025-12-04T10:07:31.8559761Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8559825Z self.attn( 2025-12-04T10:07:31.8560016Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8560088Z a_out = A(hidden_state) 2025-12-04T10:07:31.8560391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8560480Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8560750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8560836Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8561022Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8561167Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8561419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8561522Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8561806Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8561954Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8562250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8562344Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8564269Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8564274Z 2025-12-04T10:07:31.8564412Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8564539Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8564545Z 2025-12-04T10:07:31.8564708Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8564839Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8565281Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8565396Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8565909Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8566020Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8566156Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8566586Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8566761Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8566889Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8566963Z Traceback (most recent call last): 2025-12-04T10:07:31.8567177Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8567254Z self.attn( 2025-12-04T10:07:31.8567436Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8567506Z a_out = A(hidden_state) 2025-12-04T10:07:31.8567807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8567887Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8568166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8568247Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8568433Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8568590Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8568840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8568948Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8569232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8569372Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8569676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8569763Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8571684Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8571688Z 2025-12-04T10:07:31.8571818Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8571945Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8571951Z 2025-12-04T10:07:31.8572109Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8572236Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8572682Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8572790Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8573304Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8573410Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8573538Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8573975Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8574160Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8574289Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8574365Z Traceback (most recent call last): 2025-12-04T10:07:31.8574579Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8574644Z self.attn( 2025-12-04T10:07:31.8574826Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8574896Z a_out = A(hidden_state) 2025-12-04T10:07:31.8575201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8575290Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8575558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8575644Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8575828Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8575975Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8576215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8576316Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8576603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8576743Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8577045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8577134Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8579046Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8579057Z 2025-12-04T10:07:31.8579188Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8579311Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8579323Z 2025-12-04T10:07:31.8579480Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8579607Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8580051Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8580157Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8580669Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8580785Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8580912Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8581455Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8581648Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8581773Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8581856Z Traceback (most recent call last): 2025-12-04T10:07:31.8582071Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8582140Z self.attn( 2025-12-04T10:07:31.8582326Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8582394Z a_out = A(hidden_state) 2025-12-04T10:07:31.8582700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8582781Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8583049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8583140Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8583324Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8583473Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8583715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8583817Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8584109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8584247Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8584549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8584647Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8586573Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8586585Z 2025-12-04T10:07:31.8586714Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8586838Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8586844Z 2025-12-04T10:07:31.8587009Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8587139Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8587586Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8587695Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8588196Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8588322Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8588450Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8588892Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8589087Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8589209Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8589289Z Traceback (most recent call last): 2025-12-04T10:07:31.8589505Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8589565Z self.attn( 2025-12-04T10:07:31.8589763Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8589831Z a_out = A(hidden_state) 2025-12-04T10:07:31.8590135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8590218Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8590485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8590569Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8590753Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8590893Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8591140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8591240Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8591528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8591668Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8591962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8592055Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8593981Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8593985Z 2025-12-04T10:07:31.8594120Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8594245Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8594249Z 2025-12-04T10:07:31.8594413Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8594541Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8594981Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8595095Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8595608Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8595726Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8595854Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8596282Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8596461Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8596583Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8596666Z Traceback (most recent call last): 2025-12-04T10:07:31.8596880Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8596940Z self.attn( 2025-12-04T10:07:31.8597133Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8597201Z a_out = A(hidden_state) 2025-12-04T10:07:31.8597498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8597584Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8597855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8597953Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8598142Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8598283Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8598533Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8598633Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8598914Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8599059Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8599356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8599451Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8601362Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8601366Z 2025-12-04T10:07:31.8601503Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8601629Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8601633Z 2025-12-04T10:07:31.8601796Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8601924Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8602361Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8602474Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8602976Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8603087Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8603215Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8603713Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8603825Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8603950Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8604026Z Traceback (most recent call last): 2025-12-04T10:07:31.8604248Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8604307Z self.attn( 2025-12-04T10:07:31.8604497Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8604565Z a_out = A(hidden_state) 2025-12-04T10:07:31.8604863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8604950Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8605219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8605299Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8605489Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8605628Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8605878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8605979Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8606262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8606405Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8606699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8606793Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8608723Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8608730Z 2025-12-04T10:07:31.8608878Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8609005Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8609008Z 2025-12-04T10:07:31.8609166Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8609299Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8609736Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8609851Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8610357Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8610465Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8610599Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8611097Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8611207Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8611328Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8611403Z Traceback (most recent call last): 2025-12-04T10:07:31.8611632Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8611693Z self.attn( 2025-12-04T10:07:31.8611879Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8611951Z a_out = A(hidden_state) 2025-12-04T10:07:31.8612247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8612331Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8612597Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8612675Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8612865Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8613004Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8613243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8613350Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8613632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8613774Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8614071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8614160Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8616089Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8616093Z 2025-12-04T10:07:31.8616227Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8616352Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8616355Z 2025-12-04T10:07:31.8616509Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8616642Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8617080Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8617189Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8617722Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8617830Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8617961Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8618460Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8618565Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8618694Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8619048Z Traceback (most recent call last): 2025-12-04T10:07:31.8619307Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8619369Z self.attn( 2025-12-04T10:07:31.8619559Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8619635Z a_out = A(hidden_state) 2025-12-04T10:07:31.8619938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8620021Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8620301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8620378Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8620570Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8620713Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8620957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8621129Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8621419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8621560Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8621865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8621956Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8623891Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8623895Z 2025-12-04T10:07:31.8624026Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8624162Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8624165Z 2025-12-04T10:07:31.8624325Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8624462Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8624907Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8625169Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8625637Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8625743Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8625877Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8626423Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8626532Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8626671Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8626768Z Traceback (most recent call last): 2025-12-04T10:07:31.8626985Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8627047Z self.attn( 2025-12-04T10:07:31.8627244Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8627313Z a_out = A(hidden_state) 2025-12-04T10:07:31.8627614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8627704Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8627977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8628062Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8628250Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8628392Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8628642Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8628748Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8629029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8629180Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8629477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8629576Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8631517Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8631521Z 2025-12-04T10:07:31.8631663Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8631789Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8631792Z 2025-12-04T10:07:31.8631962Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8632094Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8632553Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8632747Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8633190Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8633301Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8633431Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8633938Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8634052Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8634175Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8634250Z Traceback (most recent call last): 2025-12-04T10:07:31.8634482Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8634545Z self.attn( 2025-12-04T10:07:31.8634733Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8634802Z a_out = A(hidden_state) 2025-12-04T10:07:31.8635105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8635192Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8635472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8635550Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8635742Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8635885Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8636134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8636239Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8636532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8636679Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8636973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8637070Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8638991Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8638995Z 2025-12-04T10:07:31.8639137Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8639260Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8639264Z 2025-12-04T10:07:31.8639425Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8639564Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8640009Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8640193Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8640635Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8640741Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8640874Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8641386Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8641499Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8641625Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8641700Z Traceback (most recent call last): 2025-12-04T10:07:31.8641922Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8641986Z self.attn( 2025-12-04T10:07:31.8642167Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8642242Z a_out = A(hidden_state) 2025-12-04T10:07:31.8642541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8642631Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8642897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8642974Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8643163Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8643306Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8643549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8643659Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8643939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8644087Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8644383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8644475Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8646417Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8646422Z 2025-12-04T10:07:31.8646562Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8646687Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8646690Z 2025-12-04T10:07:31.8646850Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8646985Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8647426Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8647628Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8648067Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8648172Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8648304Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8648807Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8648916Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8649055Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8649136Z Traceback (most recent call last): 2025-12-04T10:07:31.8649360Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8649425Z self.attn( 2025-12-04T10:07:31.8649608Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8649683Z a_out = A(hidden_state) 2025-12-04T10:07:31.8649981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8650067Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8650343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8650421Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8650612Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8650755Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8650997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8651110Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8651392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8651538Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8651836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8651928Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8653855Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8653862Z 2025-12-04T10:07:31.8653994Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8654124Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8654127Z 2025-12-04T10:07:31.8654286Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8654423Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8654865Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8655052Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8655500Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8655603Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8655802Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8656237Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8656343Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8656472Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8656546Z Traceback (most recent call last): 2025-12-04T10:07:31.8656763Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8656830Z self.attn( 2025-12-04T10:07:31.8657013Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8657085Z a_out = A(hidden_state) 2025-12-04T10:07:31.8657391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8657478Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8657753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8657829Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8658012Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8658159Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8658400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8658509Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8658789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8658926Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8659224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8659314Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8661315Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8661325Z 2025-12-04T10:07:31.8661463Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8661590Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8661593Z 2025-12-04T10:07:31.8661751Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8661877Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8662322Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8662509Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8662948Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8663051Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8663259Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8663699Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8663805Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8663935Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8664011Z Traceback (most recent call last): 2025-12-04T10:07:31.8664239Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8664308Z self.attn( 2025-12-04T10:07:31.8664494Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8664562Z a_out = A(hidden_state) 2025-12-04T10:07:31.8664865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8664948Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8665219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8665296Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8665481Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8665625Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8665869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8665980Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8666262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8666400Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8666702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8666792Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8668720Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8668727Z 2025-12-04T10:07:31.8668857Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8668983Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8668986Z 2025-12-04T10:07:31.8669142Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8669269Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8669790Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8669901Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8670347Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8670454Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8670672Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8671114Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8671220Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8671348Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8671424Z Traceback (most recent call last): 2025-12-04T10:07:31.8671644Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8671710Z self.attn( 2025-12-04T10:07:31.8671892Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8671962Z a_out = A(hidden_state) 2025-12-04T10:07:31.8672268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8672352Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8672625Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8672704Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8672889Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8673043Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8673291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8673395Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8673684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8673824Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8674128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8674217Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8676141Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8676155Z 2025-12-04T10:07:31.8676283Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8676405Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8676414Z 2025-12-04T10:07:31.8676572Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8676699Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8677229Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8677344Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8677782Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8677895Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8678091Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8678529Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8678636Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8678761Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8678845Z Traceback (most recent call last): 2025-12-04T10:07:31.8679075Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8679142Z self.attn( 2025-12-04T10:07:31.8679325Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8679393Z a_out = A(hidden_state) 2025-12-04T10:07:31.8679694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8679776Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8680042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8680123Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8680306Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8680450Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8680693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8680794Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8681077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8681220Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8681520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8681613Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8683529Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8683541Z 2025-12-04T10:07:31.8683669Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8683789Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8683793Z 2025-12-04T10:07:31.8683953Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8684078Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8684606Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8684719Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8685157Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8685273Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8685477Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8685916Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8686023Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8686155Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8686239Z Traceback (most recent call last): 2025-12-04T10:07:31.8686459Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8686520Z self.attn( 2025-12-04T10:07:31.8686709Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8686778Z a_out = A(hidden_state) 2025-12-04T10:07:31.8687080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8687164Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8687431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8687512Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8687695Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8687831Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8688079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8688180Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8688465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8688605Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8688904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8688997Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8690910Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8690922Z 2025-12-04T10:07:31.8691051Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8691174Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8691177Z 2025-12-04T10:07:31.8691344Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8691472Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8691990Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8692111Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8692549Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8692727Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8692853Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8693284Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8693399Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8693521Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8693604Z Traceback (most recent call last): 2025-12-04T10:07:31.8693823Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8693884Z self.attn( 2025-12-04T10:07:31.8694072Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8694140Z a_out = A(hidden_state) 2025-12-04T10:07:31.8694441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8694531Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8694799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8694888Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8695081Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8695222Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8695473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8695575Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8695861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8696007Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8696308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8696404Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8698319Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8698325Z 2025-12-04T10:07:31.8698463Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8698586Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8698589Z 2025-12-04T10:07:31.8698752Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8698882Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8699404Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8699524Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8699964Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8700158Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8700286Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8700721Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8700833Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8700956Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8701120Z Traceback (most recent call last): 2025-12-04T10:07:31.8701360Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8701432Z self.attn( 2025-12-04T10:07:31.8701622Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8701690Z a_out = A(hidden_state) 2025-12-04T10:07:31.8701990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8702079Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8702349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8702425Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8702614Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8702752Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8703000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8703099Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8703378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8703521Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8703817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8703904Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8705827Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8705833Z 2025-12-04T10:07:31.8705967Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8706086Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8706089Z 2025-12-04T10:07:31.8706253Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8706385Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8706903Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8707020Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8707453Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8708310Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8708445Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8708881Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8708992Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8709115Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8709196Z Traceback (most recent call last): 2025-12-04T10:07:31.8709418Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8709477Z self.attn( 2025-12-04T10:07:31.8709659Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8709735Z a_out = A(hidden_state) 2025-12-04T10:07:31.8710034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8710123Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8710390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8710467Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8710657Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8710794Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8711038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8711145Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8711424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8711567Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8711863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8711951Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8713888Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8713894Z 2025-12-04T10:07:31.8714029Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8714151Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8714155Z 2025-12-04T10:07:31.8714312Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8714445Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8714959Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8715070Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8715521Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8715693Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8715825Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8716264Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8716371Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8716501Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8716580Z Traceback (most recent call last): 2025-12-04T10:07:31.8716801Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8716861Z self.attn( 2025-12-04T10:07:31.8717041Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8717114Z a_out = A(hidden_state) 2025-12-04T10:07:31.8717414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8717499Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8717774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8717860Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8718053Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8718194Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8718442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8718551Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8719096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8719257Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8719557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8719649Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8721578Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8721588Z 2025-12-04T10:07:31.8721727Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8721859Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8721863Z 2025-12-04T10:07:31.8722024Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8722162Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8722729Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8722845Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8723291Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8723498Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8723632Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8724066Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8724175Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8724314Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8724396Z Traceback (most recent call last): 2025-12-04T10:07:31.8724617Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8724683Z self.attn( 2025-12-04T10:07:31.8724864Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8724938Z a_out = A(hidden_state) 2025-12-04T10:07:31.8725245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8725334Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8725615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8725694Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8725884Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8726036Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8726284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8726393Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8726676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8726824Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8727125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8727215Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8729145Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8729152Z 2025-12-04T10:07:31.8729284Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8729416Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8729419Z 2025-12-04T10:07:31.8729580Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8729715Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8730271Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8730389Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8730836Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8731012Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8731142Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8731583Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8731689Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8731818Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8731901Z Traceback (most recent call last): 2025-12-04T10:07:31.8732123Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8732193Z self.attn( 2025-12-04T10:07:31.8732386Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8732458Z a_out = A(hidden_state) 2025-12-04T10:07:31.8732769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8732855Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8733131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8733209Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8733396Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8733550Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8733793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8733902Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8734184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8734328Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8734631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8734723Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8736655Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8736662Z 2025-12-04T10:07:31.8736794Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8736923Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8736927Z 2025-12-04T10:07:31.8737086Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8737214Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8737739Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8737850Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8738294Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8738469Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8738595Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8739033Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8739141Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8739275Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8739354Z Traceback (most recent call last): 2025-12-04T10:07:31.8739574Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8739641Z self.attn( 2025-12-04T10:07:31.8739823Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8739895Z a_out = A(hidden_state) 2025-12-04T10:07:31.8740196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8740277Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8740546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8740642Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8740828Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8740982Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8741304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8741409Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8741697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8741842Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8742145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8742236Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8744169Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8744183Z 2025-12-04T10:07:31.8744315Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8744440Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8744453Z 2025-12-04T10:07:31.8744612Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8744740Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8745285Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8745406Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8745851Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8746029Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8746156Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8746597Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8746704Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8746833Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8746927Z Traceback (most recent call last): 2025-12-04T10:07:31.8747149Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8747215Z self.attn( 2025-12-04T10:07:31.8747396Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8747467Z a_out = A(hidden_state) 2025-12-04T10:07:31.8747770Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8747850Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8748115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8748198Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8748380Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8748530Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8748776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8748875Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8749158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8749300Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8749597Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8749689Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8751605Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8751618Z 2025-12-04T10:07:31.8751744Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8751866Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8751869Z 2025-12-04T10:07:31.8752034Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8752161Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8752688Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8752803Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8753244Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8753420Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8753545Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8753986Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8754091Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8754217Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8754299Z Traceback (most recent call last): 2025-12-04T10:07:31.8754515Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8754574Z self.attn( 2025-12-04T10:07:31.8754763Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8754834Z a_out = A(hidden_state) 2025-12-04T10:07:31.8755136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8755217Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8755492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8755573Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8755754Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8755897Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8756144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8756244Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8756531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8756673Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8756968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8757064Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8758979Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8758986Z 2025-12-04T10:07:31.8759121Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8759243Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8759246Z 2025-12-04T10:07:31.8759416Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8759643Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8760086Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8760203Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8760639Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8760827Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8760954Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8761392Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8761505Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8761631Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8761714Z Traceback (most recent call last): 2025-12-04T10:07:31.8761929Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8761989Z self.attn( 2025-12-04T10:07:31.8762175Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8762246Z a_out = A(hidden_state) 2025-12-04T10:07:31.8762542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8762644Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8762913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8763001Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8763186Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8763328Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8763575Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8763678Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8763956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8764107Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8764404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8764500Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8766425Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8766432Z 2025-12-04T10:07:31.8766567Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8766690Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8766693Z 2025-12-04T10:07:31.8766858Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8767069Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8767523Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8767641Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8768079Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8768255Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8768381Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8768818Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8768935Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8769062Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8769139Z Traceback (most recent call last): 2025-12-04T10:07:31.8769363Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8769423Z self.attn( 2025-12-04T10:07:31.8769611Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8769679Z a_out = A(hidden_state) 2025-12-04T10:07:31.8769976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8770063Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8770329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8770405Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8770595Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8770736Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8770989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8771089Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8771365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8771512Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8771812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8771911Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8773846Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8773852Z 2025-12-04T10:07:31.8773984Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8774106Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8774109Z 2025-12-04T10:07:31.8774266Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8774472Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8774920Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8775036Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8775477Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8775648Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8775782Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8776219Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8776330Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8776455Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8776531Z Traceback (most recent call last): 2025-12-04T10:07:31.8776752Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8776812Z self.attn( 2025-12-04T10:07:31.8776994Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8777071Z a_out = A(hidden_state) 2025-12-04T10:07:31.8777374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8777462Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8777767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8777898Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8778197Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8778408Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8778793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8778955Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8779410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8779657Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8780173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8780315Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8783482Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8783497Z 2025-12-04T10:07:31.8783742Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8783964Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8783972Z 2025-12-04T10:07:31.8784251Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8784644Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8785401Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8785590Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8786289Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8786627Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8786857Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8787586Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8787793Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8788042Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8788188Z Traceback (most recent call last): 2025-12-04T10:07:31.8788591Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8788702Z self.attn( 2025-12-04T10:07:31.8789014Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8789143Z a_out = A(hidden_state) 2025-12-04T10:07:31.8789639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8789782Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8790224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8790359Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8790694Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8790936Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8791366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8791560Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8792078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8792339Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8792902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8793076Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8796627Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8796647Z 2025-12-04T10:07:31.8796911Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8797156Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8797163Z 2025-12-04T10:07:31.8797473Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8797884Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8798744Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8798960Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8799955Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8800162Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8800421Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8801249Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8801480Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8801736Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8801886Z Traceback (most recent call last): 2025-12-04T10:07:31.8802302Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8802428Z self.attn( 2025-12-04T10:07:31.8802786Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8802925Z a_out = A(hidden_state) 2025-12-04T10:07:31.8803494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8803653Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8804170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8804321Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8804684Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8804974Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8805442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8805641Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8806188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8806465Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8807038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8807209Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8810731Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8810753Z 2025-12-04T10:07:31.8811019Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8811269Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8811276Z 2025-12-04T10:07:31.8811584Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8811976Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8812844Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8813067Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8814046Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8814253Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8814508Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8815436Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8815698Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8815990Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8816162Z Traceback (most recent call last): 2025-12-04T10:07:31.8816667Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8816813Z self.attn( 2025-12-04T10:07:31.8817234Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8817386Z a_out = A(hidden_state) 2025-12-04T10:07:31.8817960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8818122Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8818637Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8819007Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8819374Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8819656Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8820112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8820310Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8820864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8821219Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8821789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8821963Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8825522Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8825543Z 2025-12-04T10:07:31.8825800Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8826046Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8826052Z 2025-12-04T10:07:31.8826349Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8826806Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8827668Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8827882Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8828923Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8829127Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8829380Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8830230Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8830451Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8830688Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8830839Z Traceback (most recent call last): 2025-12-04T10:07:31.8831250Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8831374Z self.attn( 2025-12-04T10:07:31.8831735Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8831864Z a_out = A(hidden_state) 2025-12-04T10:07:31.8832438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8832597Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8833102Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8833261Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8833621Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8833898Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8834375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8834570Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8835125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8835395Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8835973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8836149Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8849693Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8849719Z 2025-12-04T10:07:31.8850011Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8850266Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8850272Z 2025-12-04T10:07:31.8850725Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8851001Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8851841Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8852055Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8853048Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8853249Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8853507Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8854321Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8854539Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8854782Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8854930Z Traceback (most recent call last): 2025-12-04T10:07:31.8855347Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8855471Z self.attn( 2025-12-04T10:07:31.8855816Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8855956Z a_out = A(hidden_state) 2025-12-04T10:07:31.8856513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8856669Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8857183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8857335Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8857708Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8857979Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8858439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8858649Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8859178Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8859436Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8860019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8860191Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8863772Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8863789Z 2025-12-04T10:07:31.8864041Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8864289Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8864295Z 2025-12-04T10:07:31.8864726Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8864998Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8865842Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8866053Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8867003Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8867209Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8867460Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8868301Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8868519Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8868770Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8868914Z Traceback (most recent call last): 2025-12-04T10:07:31.8869321Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8869453Z self.attn( 2025-12-04T10:07:31.8869797Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8869937Z a_out = A(hidden_state) 2025-12-04T10:07:31.8870496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8870648Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8871148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8871295Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8871648Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8871932Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8872399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8872597Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8873127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8873389Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8873941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8874110Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8877497Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8877517Z 2025-12-04T10:07:31.8877781Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8878032Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8878039Z 2025-12-04T10:07:31.8878520Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8878787Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8879646Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8879997Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8880844Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8881053Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8881304Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8882141Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8882361Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8882606Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:07:31.8882747Z Traceback (most recent call last): 2025-12-04T10:07:31.8883149Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:07:31.8883276Z self.attn( 2025-12-04T10:07:31.8883619Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:07:31.8883747Z a_out = A(hidden_state) 2025-12-04T10:07:31.8884320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:07:31.8884473Z return self._call_impl(*args, **kwargs) 2025-12-04T10:07:31.8884977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:07:31.8885128Z return forward_call(*args, **kwargs) 2025-12-04T10:07:31.8885486Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:07:31.8885766Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:07:31.8886219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:07:31.8886420Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:07:31.8886950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:07:31.8887211Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:07:31.8887784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:07:31.8887959Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:07:31.8891486Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8891503Z 2025-12-04T10:07:31.8891768Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8892006Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8892021Z 2025-12-04T10:07:31.8892440Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8892696Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8893544Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8893890Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8894719Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8894932Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:07:31.8895182Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:07:31.8896034Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:07:31.8896256Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:07:31.8896973Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_dims/functorch.test_dims-f0e16a3fe2668374.xml - 2025-12-04T10:07:31.8897194Z =========================== short test summary info ============================ 2025-12-04T10:07:31.8901157Z FAILED [0.8015s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 982.64 MiB is allocated by PyTorch, and 19.36 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8901183Z 2025-12-04T10:07:31.8901445Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8901691Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8901697Z 2025-12-04T10:07:31.8902005Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8905805Z FAILED [0.5264s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8905836Z 2025-12-04T10:07:31.8906093Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8906334Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8906341Z 2025-12-04T10:07:31.8906652Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8910545Z FAILED [0.5364s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8910658Z 2025-12-04T10:07:31.8910915Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8911143Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8911149Z 2025-12-04T10:07:31.8911455Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8915243Z FAILED [0.5192s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8915277Z 2025-12-04T10:07:31.8915538Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8915773Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8915778Z 2025-12-04T10:07:31.8916085Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8920071Z FAILED [0.5128s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8920092Z 2025-12-04T10:07:31.8920355Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8920599Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8920606Z 2025-12-04T10:07:31.8920916Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8924907Z FAILED [0.5316s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8925057Z 2025-12-04T10:07:31.8925327Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8925580Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8925587Z 2025-12-04T10:07:31.8925895Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8929714Z FAILED [0.4994s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8929733Z 2025-12-04T10:07:31.8929993Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8930240Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8930246Z 2025-12-04T10:07:31.8930547Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8934361Z FAILED [0.5048s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8934380Z 2025-12-04T10:07:31.8934634Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8934871Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8934884Z 2025-12-04T10:07:31.8935182Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8938969Z FAILED [0.5129s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8939106Z 2025-12-04T10:07:31.8939370Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8939609Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8939614Z 2025-12-04T10:07:31.8939910Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8943803Z FAILED [0.5133s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8943942Z 2025-12-04T10:07:31.8944195Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8944441Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8944454Z 2025-12-04T10:07:31.8944750Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8948564Z FAILED [0.5171s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8948581Z 2025-12-04T10:07:31.8948839Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8949077Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8949083Z 2025-12-04T10:07:31.8949373Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8953175Z FAILED [0.5548s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8953189Z 2025-12-04T10:07:31.8953443Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8953684Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8953689Z 2025-12-04T10:07:31.8953988Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8957932Z FAILED [0.5291s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8958042Z 2025-12-04T10:07:31.8958308Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8958567Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8958573Z 2025-12-04T10:07:31.8958874Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8962683Z FAILED [0.5360s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8962697Z 2025-12-04T10:07:31.8962946Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8963189Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8963195Z 2025-12-04T10:07:31.8963488Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8967296Z FAILED [0.5078s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8967307Z 2025-12-04T10:07:31.8967556Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8967804Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8967810Z 2025-12-04T10:07:31.8968104Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8972034Z FAILED [0.5004s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8972139Z 2025-12-04T10:07:31.8972400Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8972642Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8972648Z 2025-12-04T10:07:31.8972945Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8976673Z FAILED [0.5053s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8976693Z 2025-12-04T10:07:31.8976949Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8977188Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8977194Z 2025-12-04T10:07:31.8977497Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8981429Z FAILED [0.5132s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8981447Z 2025-12-04T10:07:31.8981701Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8981943Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8981949Z 2025-12-04T10:07:31.8982238Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8986186Z FAILED [0.5307s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8986204Z 2025-12-04T10:07:31.8986460Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8986694Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8986818Z 2025-12-04T10:07:31.8987130Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8990959Z FAILED [0.5263s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8990980Z 2025-12-04T10:07:31.8991223Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8991460Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8991477Z 2025-12-04T10:07:31.8991775Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.8995575Z FAILED [0.5344s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.8995598Z 2025-12-04T10:07:31.8995842Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.8996073Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.8996079Z 2025-12-04T10:07:31.8996381Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9000191Z FAILED [0.5081s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9000214Z 2025-12-04T10:07:31.9000454Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9000799Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9000808Z 2025-12-04T10:07:31.9001110Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9004926Z FAILED [0.5039s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9005088Z 2025-12-04T10:07:31.9005353Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9005603Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9005609Z 2025-12-04T10:07:31.9005929Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9009743Z FAILED [0.4980s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9009768Z 2025-12-04T10:07:31.9010026Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9010277Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9010283Z 2025-12-04T10:07:31.9010603Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9014407Z FAILED [0.4999s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9014436Z 2025-12-04T10:07:31.9014696Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9014937Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9014944Z 2025-12-04T10:07:31.9015251Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9019460Z FAILED [0.4897s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9019649Z 2025-12-04T10:07:31.9019923Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9020171Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9020177Z 2025-12-04T10:07:31.9020498Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9024395Z FAILED [0.4935s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9024427Z 2025-12-04T10:07:31.9024689Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9024930Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9024938Z 2025-12-04T10:07:31.9025247Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9029041Z FAILED [0.4917s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9029067Z 2025-12-04T10:07:31.9029324Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9029565Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9029578Z 2025-12-04T10:07:31.9029884Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9033880Z FAILED [0.4935s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9034002Z 2025-12-04T10:07:31.9034260Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9034501Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9034508Z 2025-12-04T10:07:31.9034816Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9038624Z FAILED [0.5035s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9038641Z 2025-12-04T10:07:31.9038903Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9039135Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9039142Z 2025-12-04T10:07:31.9039454Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9043233Z FAILED [0.5622s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9043250Z 2025-12-04T10:07:31.9043511Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9043739Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9043753Z 2025-12-04T10:07:31.9044062Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9047969Z FAILED [0.5297s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9047990Z 2025-12-04T10:07:31.9048262Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9048498Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9048503Z 2025-12-04T10:07:31.9048812Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9052732Z FAILED [0.5054s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9052745Z 2025-12-04T10:07:31.9053008Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9053249Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9053256Z 2025-12-04T10:07:31.9053558Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9057364Z FAILED [0.5152s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9057382Z 2025-12-04T10:07:31.9057644Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9057881Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9057886Z 2025-12-04T10:07:31.9058189Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9062049Z FAILED [0.4971s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9062067Z 2025-12-04T10:07:31.9062327Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9062566Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9062571Z 2025-12-04T10:07:31.9062879Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9066788Z FAILED [0.4953s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9066895Z 2025-12-04T10:07:31.9067168Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9067409Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9067416Z 2025-12-04T10:07:31.9067717Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9071535Z FAILED [0.4989s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9071552Z 2025-12-04T10:07:31.9071810Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9072039Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9072045Z 2025-12-04T10:07:31.9072336Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9076126Z FAILED [0.4949s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9076135Z 2025-12-04T10:07:31.9076386Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9076614Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9076620Z 2025-12-04T10:07:31.9076912Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9080818Z FAILED [0.5027s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9080956Z 2025-12-04T10:07:31.9081231Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9081459Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9081465Z 2025-12-04T10:07:31.9081766Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9085604Z FAILED [0.5278s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9085621Z 2025-12-04T10:07:31.9085884Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9086119Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9086126Z 2025-12-04T10:07:31.9086430Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9090249Z FAILED [0.5332s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9090268Z 2025-12-04T10:07:31.9090530Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9090769Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9090776Z 2025-12-04T10:07:31.9091074Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9095007Z FAILED [0.4892s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9095024Z 2025-12-04T10:07:31.9095290Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9095528Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9095645Z 2025-12-04T10:07:31.9095948Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9099745Z FAILED [0.5101s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9099762Z 2025-12-04T10:07:31.9100011Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9100240Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9100247Z 2025-12-04T10:07:31.9100542Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9104432Z FAILED [0.5009s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9104449Z 2025-12-04T10:07:31.9104692Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9104925Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9104932Z 2025-12-04T10:07:31.9105221Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9109038Z FAILED [0.4961s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9109058Z 2025-12-04T10:07:31.9109318Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9109685Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9109694Z 2025-12-04T10:07:31.9110006Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9113789Z FAILED [0.4930s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9113973Z 2025-12-04T10:07:31.9114233Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9114485Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9114492Z 2025-12-04T10:07:31.9114791Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9118611Z FAILED [0.4937s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9118626Z 2025-12-04T10:07:31.9119099Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9119348Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9119355Z 2025-12-04T10:07:31.9119643Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9123438Z FAILED [0.4979s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9123457Z 2025-12-04T10:07:31.9123712Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9123956Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9123962Z 2025-12-04T10:07:31.9124258Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9128204Z FAILED [0.5164s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9128361Z 2025-12-04T10:07:31.9128627Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9128875Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9128881Z 2025-12-04T10:07:31.9129190Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9132982Z FAILED [0.5274s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.03 GiB of which 13.81 GiB is free. Process 4200 has 186.00 MiB memory in use. Process 4260 has 6.26 GiB memory in use. Process 10502 has 186.00 MiB memory in use. Process 10620 has 188.00 MiB memory in use. Process 10881 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 1.20 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T10:07:31.9133005Z 2025-12-04T10:07:31.9133263Z To execute this test, run the following from the base repo dir: 2025-12-04T10:07:31.9133506Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:07:31.9133512Z 2025-12-04T10:07:31.9133810Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:07:31.9134302Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9134791Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9135260Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9135747Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9136215Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9136709Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9137200Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9137675Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9138161Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9138631Z ERROR [0.0002s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9139096Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9139565Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9140136Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9140598Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9141153Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9141694Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9142149Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9142602Z ERROR [0.0002s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9143053Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9143509Z ERROR [0.0002s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9143956Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9144416Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9144876Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9145347Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9145821Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9146295Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9146779Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9147254Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9147729Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9148197Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9148684Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9149155Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9149616Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9150096Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9150560Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9151038Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9151517Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9151996Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9152466Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9152932Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9153392Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9153983Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9154459Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9154937Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9155550Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9156021Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9156499Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9156970Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9157461Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9157951Z ERROR [0.0005s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:07:31.9158159Z ======================== 50 failed, 50 errors in 26.21s ======================== 2025-12-04T10:07:31.9158179Z 2025-12-04T10:07:31.9158720Z FINISHED PRINTING LOG FILE of functorch/test_dims 1/1 (test/test-reports/functorch.test_dims_1.1_4e1fbcd4a02342f3_.log) 2025-12-04T10:07:31.9158727Z 2025-12-04T10:07:31.9159077Z Finished functorch/test_dims 1/1 ... [2025-12-04 10:07:31.786777][1699.714898959], took 0.49min 2025-12-04T10:07:31.9159880Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_dims/functorch.test_dims-f0e16a3fe2668374.xml 2025-12-04T10:07:32.0762915Z Uploading logs for 57120265717 to S3 2025-12-04T10:07:32.1043253Z Uploading artifacts took 0.22 seconds 2025-12-04T10:07:32.1043670Z functorch/test_dims 1/1 failed! 2025-12-04T10:07:35.4354816Z Running test_sparse_csr 1/3 ... [2025-12-04 10:07:35.434994][1703.363114701] 2025-12-04T10:07:35.4355491Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:35.4357773Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse_csr.py', '-m', 'not serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:35.435447] 2025-12-04T10:07:47.5229192Z 2025-12-04T10:07:47.5230234Z test_sparse_csr 1/3 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.3_15c5d76398fcbf32_.log 2025-12-04T10:07:47.5241094Z Running 50 items in this shard: test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_sparse_add_cuda_float32 2025-12-04T10:07:47.5250975Z 2025-12-04T10:07:47.5251161Z Finished test_sparse_csr 1/3 ... [2025-12-04 10:07:47.522825][1715.45094894], took 0.20min 2025-12-04T10:07:47.5298362Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sparse_csr/test_sparse_csr-14d4df51d673eddc.xml 2025-12-04T10:07:51.1901733Z Running dynamo/test_dynamic_shapes 2/2 ... [2025-12-04 10:07:51.189710][1719.117831271] 2025-12-04T10:07:51.1902441Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:51.1904255Z 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 10:07:51.190134] 2025-12-04T10:08:01.7097835Z 2025-12-04T10:08:01.7099333Z 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_2354d2412e0108a7_.log 2025-12-04T10:08:01.7100370Z Running 0 items in this shard: 2025-12-04T10:08:01.7100596Z 2025-12-04T10:08:01.7100961Z Finished dynamo/test_dynamic_shapes 2/2 ... [2025-12-04 10:08:01.709635][1729.637758535], took 0.18min 2025-12-04T10:08:01.7129698Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-eb4be149fd33cd33.xml 2025-12-04T10:08:01.7977247Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-483d30776b416aec.xml 2025-12-04T10:08:02.3178122Z 2025-12-04T10:08:02.3179353Z inductor/test_aot_inductor 5/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_5.5_36e60b560972b017_.log 2025-12-04T10:08:02.3195288Z Running 50 items in this shard: test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda 2025-12-04T10:08:02.3209665Z 2025-12-04T10:08:02.3209894Z Finished inductor/test_aot_inductor 5/5 ... [2025-12-04 10:08:02.317878][1730.246001034], took 4.45min 2025-12-04T10:08:05.4712785Z Running inductor/test_cpu_repro 1/2 ... [2025-12-04 10:08:05.470721][1733.398842401] 2025-12-04T10:08:05.4713330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:05.4714448Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.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 10:08:05.471156] 2025-12-04T10:08:06.0048715Z Running inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 10:08:06.004415][1733.932535622] 2025-12-04T10:08:06.0049401Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:06.0052781Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_cpu_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:06.004951] 2025-12-04T10:08:10.9406784Z 2025-12-04T10:08:10.9407582Z PRINTING LOG FILE of test_ops 8/9 (test/test-reports/test_ops_8.9_14aeed7c3345ba07_.log) 2025-12-04T10:08:10.9408462Z Test results will be stored in test-reports/python-pytest/test_ops/test_ops-c0d439c48ea100a0.xml 2025-12-04T10:08:10.9409000Z ============================= test session starts ============================== 2025-12-04T10:08:10.9409423Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:08:10.9409793Z cachedir: .pytest_cache 2025-12-04T10:08:10.9410240Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:08:10.9410713Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:08:10.9410938Z configfile: pytest.ini 2025-12-04T10:08:10.9411366Z 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 2025-12-04T10:08:10.9411833Z collecting ... collected 33666 items 2025-12-04T10:08:10.9412095Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:08:10.9449012Z Running 150 items in this shard: test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 2025-12-04T10:08:10.9485441Z 2025-12-04T10:08:10.9485777Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0003s] (output is non-deterministic) [ 0%] 2025-12-04T10:08:10.9486564Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.1303s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 1%] 2025-12-04T10:08:10.9487320Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 FAILED [0.3245s] [ 2%] 2025-12-04T10:08:10.9487985Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9488674Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9489353Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9490023Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9490687Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9491357Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9492034Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9492710Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9493375Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9494045Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9494712Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9495387Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0003s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9496050Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9496718Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9497491Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9498166Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9498834Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9499499Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9500247Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9500919Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0003s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9501692Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9502361Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9503032Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9503702Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9504376Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9505039Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9505708Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9506381Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0003s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9507052Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9507719Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9508400Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9509075Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0001s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9509745Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0001s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9510408Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0001s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9511081Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0001s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9511751Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0003s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9512426Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0001s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9513099Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0001s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9513763Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9514435Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9515191Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9515873Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9516545Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9517288Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0003s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9517960Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9518635Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9519573Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9520243Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0001s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9520911Z test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 SKIPPED [0.0002s] (output is non-deterministic) [ 2%] 2025-12-04T10:08:10.9521662Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0020s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9522484Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0019s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9523306Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9524128Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0018s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9524963Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0018s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9525801Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0019s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9526620Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9527436Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9528258Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9529076Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0019s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9529893Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9530703Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0018s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9531519Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9532482Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0019s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9533301Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0018s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9534140Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9535093Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9535912Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0020s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9536734Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9537542Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9538361Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0018s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9539181Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0020s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9540010Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9540835Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9541722Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0018s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9542543Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0024s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9543363Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9544193Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0018s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9545007Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9545825Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0019s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9546639Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9547465Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0018s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9548287Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9549103Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0019s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9550016Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9550838Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0018s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9551725Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9552543Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0019s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9553376Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9554194Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0018s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9555008Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0018s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9555820Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0019s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9556632Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0018s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9557445Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9558261Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9559084Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0019s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9559906Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9560728Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0017s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9561546Z test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32 SKIPPED [0.0018s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 2%] 2025-12-04T10:08:10.9562298Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4771s] [ 2%] 2025-12-04T10:08:10.9562949Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4752s] [ 2%] 2025-12-04T10:08:10.9563586Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4771s] [ 2%] 2025-12-04T10:08:10.9564225Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4761s] [ 2%] 2025-12-04T10:08:10.9564864Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4670s] [ 2%] 2025-12-04T10:08:10.9565509Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4706s] [ 2%] 2025-12-04T10:08:10.9566139Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4730s] [ 2%] 2025-12-04T10:08:10.9566864Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4723s] [ 2%] 2025-12-04T10:08:10.9567510Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4740s] [ 2%] 2025-12-04T10:08:10.9568152Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4715s] [ 2%] 2025-12-04T10:08:10.9568851Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4969s] [ 2%] 2025-12-04T10:08:10.9569486Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4648s] [ 2%] 2025-12-04T10:08:10.9570126Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4692s] [ 2%] 2025-12-04T10:08:10.9570776Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4723s] [ 2%] 2025-12-04T10:08:10.9571424Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4686s] [ 2%] 2025-12-04T10:08:10.9572061Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4645s] [ 2%] 2025-12-04T10:08:10.9572703Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4955s] [ 2%] 2025-12-04T10:08:10.9573347Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4672s] [ 2%] 2025-12-04T10:08:10.9573983Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4644s] [ 2%] 2025-12-04T10:08:10.9574613Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4635s] [ 2%] 2025-12-04T10:08:10.9575255Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4642s] [ 2%] 2025-12-04T10:08:10.9575891Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4703s] [ 2%] 2025-12-04T10:08:10.9576528Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4638s] [ 2%] 2025-12-04T10:08:10.9577160Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4707s] [ 2%] 2025-12-04T10:08:10.9577798Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4969s] [ 2%] 2025-12-04T10:08:10.9578431Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4636s] [ 2%] 2025-12-04T10:08:10.9579075Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4695s] [ 2%] 2025-12-04T10:08:10.9579707Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4926s] [ 2%] 2025-12-04T10:08:10.9580343Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4655s] [ 2%] 2025-12-04T10:08:10.9580977Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4678s] [ 2%] 2025-12-04T10:08:10.9581698Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4689s] [ 2%] 2025-12-04T10:08:10.9582326Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4709s] [ 2%] 2025-12-04T10:08:10.9582963Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4616s] [ 2%] 2025-12-04T10:08:10.9583604Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4676s] [ 2%] 2025-12-04T10:08:10.9584321Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4803s] [ 2%] 2025-12-04T10:08:10.9584953Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4845s] [ 2%] 2025-12-04T10:08:10.9585590Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4818s] [ 2%] 2025-12-04T10:08:10.9586298Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4826s] [ 2%] 2025-12-04T10:08:10.9586933Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4820s] [ 2%] 2025-12-04T10:08:10.9587559Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4942s] [ 2%] 2025-12-04T10:08:10.9588197Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.5021s] [ 2%] 2025-12-04T10:08:10.9588838Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4978s] [ 2%] 2025-12-04T10:08:10.9589469Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4681s] [ 2%] 2025-12-04T10:08:10.9590105Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4676s] [ 2%] 2025-12-04T10:08:10.9590747Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4672s] [ 2%] 2025-12-04T10:08:10.9591382Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4676s] [ 2%] 2025-12-04T10:08:10.9592022Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4969s] [ 2%] 2025-12-04T10:08:10.9592653Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4969s] [ 2%] 2025-12-04T10:08:10.9593300Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4673s] [ 2%] 2025-12-04T10:08:10.9593664Z 2025-12-04T10:08:10.9593766Z =================================== FAILURES =================================== 2025-12-04T10:08:10.9594163Z _ TestFakeTensorCUDA.test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 _ 2025-12-04T10:08:10.9594536Z Traceback (most recent call last): 2025-12-04T10:08:10.9595042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T10:08:10.9595536Z return test(*args, **kwargs) 2025-12-04T10:08:10.9595992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1435, in only_fn 2025-12-04T10:08:10.9596449Z return fn(slf, *args, **kwargs) 2025-12-04T10:08:10.9596826Z File "/var/lib/jenkins/workspace/test/test_ops.py", line 2983, in test_fake_crossref_backward_amp 2025-12-04T10:08:10.9597312Z self._test_fake_crossref_helper(device, dtype, op, torch.cuda.amp.autocast) 2025-12-04T10:08:10.9597774Z File "/var/lib/jenkins/workspace/test/test_ops.py", line 2957, in _test_fake_crossref_helper 2025-12-04T10:08:10.9598172Z composite_compliance.compute_expected_grads( 2025-12-04T10:08:10.9598734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/composite_compliance.py", line 431, in compute_expected_grads 2025-12-04T10:08:10.9599287Z results = gradcheck_wrapper(op, *args, **kwargs) 2025-12-04T10:08:10.9599757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py", line 831, in 2025-12-04T10:08:10.9600302Z gradcheck_wrapper: Callable = lambda op, *args, **kwargs: op(*args, **kwargs) 2025-12-04T10:08:10.9600943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_utils.py", line 275, in __torch_dispatch__ 2025-12-04T10:08:10.9601397Z _check_alias_info( 2025-12-04T10:08:10.9601801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_utils.py", line 57, in _check_alias_info 2025-12-04T10:08:10.9602249Z raise MetadataMismatchError( 2025-12-04T10:08:10.9602891Z torch._subclasses.fake_tensor.MetadataMismatchError: When comparing the output of aten.view.default on FakeTensor and concrete Tensors, found mismatch in outputs_alias_inputs check False != True 2025-12-04T10:08:10.9603538Z 2025-12-04T10:08:10.9603690Z The above exception was the direct cause of the following exception: 2025-12-04T10:08:10.9603920Z 2025-12-04T10:08:10.9603999Z Traceback (most recent call last): 2025-12-04T10:08:10.9604437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:08:10.9604878Z method(*args, **kwargs) 2025-12-04T10:08:10.9605290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:08:10.9605727Z method(*args, **kwargs) 2025-12-04T10:08:10.9606184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T10:08:10.9606689Z result = test(self, **param_kwargs) 2025-12-04T10:08:10.9607143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T10:08:10.9607577Z fn(*args, **kwargs) 2025-12-04T10:08:10.9608011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T10:08:10.9608481Z raise e_tracked from e 2025-12-04T10:08:10.9608980Z Exception: When comparing the output of aten.view.default on FakeTensor and concrete Tensors, found mismatch in outputs_alias_inputs check False != True 2025-12-04T10:08:10.9609430Z 2025-12-04T10:08:10.9610204Z Caused by sample input at index 5: SampleInput(input=Tensor[size=(0, 8), device="cuda:0", dtype=torch.float32], args=TensorList[Tensor[size=(0, 8), device="cuda:0", dtype=torch.float32], Tensor[size=(8, 8, 8), device="cuda:0", dtype=torch.float32], Tensor[size=(8,), device="cuda:0", dtype=torch.float32]], kwargs={}, broadcasts_input=False, name='') 2025-12-04T10:08:10.9611061Z 2025-12-04T10:08:10.9611193Z To execute this test, run the following from the base repo dir: 2025-12-04T10:08:10.9611768Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=5 python test/test_ops.py TestFakeTensorCUDA.test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 2025-12-04T10:08:10.9612206Z 2025-12-04T10:08:10.9612375Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:08:10.9612750Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:10.9613404Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. 2025-12-04T10:08:10.9613974Z context(), 2025-12-04T10:08:10.9614484Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. 2025-12-04T10:08:10.9615062Z context(), 2025-12-04T10:08:10.9615570Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. 2025-12-04T10:08:10.9616128Z context(), 2025-12-04T10:08:10.9616627Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. 2025-12-04T10:08:10.9617186Z context(), 2025-12-04T10:08:10.9617790Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. 2025-12-04T10:08:10.9618351Z context(), 2025-12-04T10:08:10.9619157Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. 2025-12-04T10:08:10.9619825Z context(), 2025-12-04T10:08:10.9620433Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-c0d439c48ea100a0.xml - 2025-12-04T10:08:10.9620956Z =========================== short test summary info ============================ 2025-12-04T10:08:10.9621912Z FAILED [0.3245s] test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 - Exception: When comparing the output of aten.view.default on FakeTensor and concrete Tensors, found mismatch in outputs_alias_inputs check False != True 2025-12-04T10:08:10.9622675Z 2025-12-04T10:08:10.9623455Z Caused by sample input at index 5: SampleInput(input=Tensor[size=(0, 8), device="cuda:0", dtype=torch.float32], args=TensorList[Tensor[size=(0, 8), device="cuda:0", dtype=torch.float32], Tensor[size=(8, 8, 8), device="cuda:0", dtype=torch.float32], Tensor[size=(8,), device="cuda:0", dtype=torch.float32]], kwargs={}, broadcasts_input=False, name='') 2025-12-04T10:08:10.9624303Z 2025-12-04T10:08:10.9624444Z To execute this test, run the following from the base repo dir: 2025-12-04T10:08:10.9625021Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=5 python test/test_ops.py TestFakeTensorCUDA.test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 2025-12-04T10:08:10.9625459Z 2025-12-04T10:08:10.9625630Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:08:10.9625993Z ============= 1 failed, 49 passed, 100 skipped in 65.08s (0:01:05) ============= 2025-12-04T10:08:10.9626205Z 2025-12-04T10:08:10.9626424Z FINISHED PRINTING LOG FILE of test_ops 8/9 (test/test-reports/test_ops_8.9_14aeed7c3345ba07_.log) 2025-12-04T10:08:10.9626724Z 2025-12-04T10:08:10.9626879Z Finished test_ops 8/9 ... [2025-12-04 10:08:10.940845][1738.86896054], took 1.31min 2025-12-04T10:08:10.9627487Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-c0d439c48ea100a0.xml 2025-12-04T10:08:11.3276895Z Uploading logs for 57120265717 to S3 2025-12-04T10:08:11.3792346Z Uploading artifacts took 0.30 seconds 2025-12-04T10:08:11.3792731Z test_ops 8/9 failed! 2025-12-04T10:08:13.3234702Z 2025-12-04T10:08:13.3235688Z inductor/test_cpu_repro 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_1.2_bb7831d81ebadfe4_.log 2025-12-04T10:08:13.3236531Z Running 0 items in this shard: 2025-12-04T10:08:13.3236729Z 2025-12-04T10:08:13.3237032Z Finished inductor/test_cpu_repro 1/2 ... [2025-12-04 10:08:13.323330][1741.251449959], took 0.13min 2025-12-04T10:08:13.3311017Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-73bbb094936b5026.xml 2025-12-04T10:08:14.1780099Z 2025-12-04T10:08:14.1781325Z inductor/test_triton_cpu_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_cpu_backend_1.1_70a5b63554c7d665_.log 2025-12-04T10:08:14.1781914Z 2025-12-04T10:08:14.1782187Z Finished inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 10:08:14.177841][1742.105964005], took 0.14min 2025-12-04T10:08:14.8010145Z Running export/test_export_training_ir_to_run_decomp 1/1 ... [2025-12-04 10:08:14.800520][1742.728640387] 2025-12-04T10:08:14.8010884Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:14.8012952Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export_training_ir_to_run_decomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:14.800944] 2025-12-04T10:08:17.1278131Z Running inductor/test_lookup_table 1/1 ... [2025-12-04 10:08:17.127308][1745.055429872] 2025-12-04T10:08:17.1278966Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:17.1281349Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_lookup_table.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:17.127744] 2025-12-04T10:08:18.0263539Z Running inductor/test_compiled_optimizers 2/3 ... [2025-12-04 10:08:18.025835][1745.953956257] 2025-12-04T10:08:18.0264307Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:18.0266316Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_optimizers.py', '-m', 'not serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:18.026298] 2025-12-04T10:08:22.6387947Z 2025-12-04T10:08:22.6388907Z export/test_export_training_ir_to_run_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_2b5cefb89043cee9_.log 2025-12-04T10:08:22.6389638Z Running 0 items in this shard: 2025-12-04T10:08:22.6389790Z 2025-12-04T10:08:22.6390072Z Finished export/test_export_training_ir_to_run_decomp 1/1 ... [2025-12-04 10:08:22.638666][1750.566789696], took 0.13min 2025-12-04T10:08:22.6481483Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export_training_ir_to_run_decomp/export.test_export_training_ir_to_run_decomp-7bd8a97655ec0d46.xml 2025-12-04T10:08:23.3666053Z 2025-12-04T10:08:23.3667107Z inductor/test_lookup_table 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_lookup_table_1.1_c214ae376a201c5b_.log 2025-12-04T10:08:23.3667769Z 2025-12-04T10:08:23.3668060Z Finished inductor/test_lookup_table 1/1 ... [2025-12-04 10:08:23.366487][1751.294610559], took 0.10min 2025-12-04T10:08:26.4129327Z Running inductor/test_control_flow 2/5 ... [2025-12-04 10:08:26.412467][1754.340588702] 2025-12-04T10:08:26.4129889Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:26.4132188Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_flow.py', '-m', 'not serial', '--shard-id=2', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:26.412887] 2025-12-04T10:08:26.7807083Z 2025-12-04T10:08:26.7808186Z inductor/test_compiled_optimizers 2/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_2.3_e8494f8d5b4da6c2_.log 2025-12-04T10:08:26.7808997Z Running 0 items in this shard: 2025-12-04T10:08:26.7809175Z 2025-12-04T10:08:26.7809502Z Finished inductor/test_compiled_optimizers 2/3 ... [2025-12-04 10:08:26.780553][1754.70867467], took 0.15min 2025-12-04T10:08:26.7888100Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_optimizers/inductor.test_compiled_optimizers-73d20b1f64bb0c19.xml 2025-12-04T10:08:27.1881866Z Running xpu/test_conv 1/1 ... [2025-12-04 10:08:27.187746][1755.115867826] 2025-12-04T10:08:27.1882318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:27.1884556Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_conv.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:27.188170] 2025-12-04T10:08:30.4951576Z Running test_modules 1/1 ... [2025-12-04 10:08:30.494690][1758.422809256] 2025-12-04T10:08:30.4952044Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:30.4954337Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:30.495131] 2025-12-04T10:08:31.1919112Z 2025-12-04T10:08:31.1919971Z xpu/test_conv 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_conv_1.1_71d335735d0a6eba_.log 2025-12-04T10:08:31.1920644Z Running 0 items in this shard: 2025-12-04T10:08:31.1920818Z 2025-12-04T10:08:31.1921044Z Finished xpu/test_conv 1/1 ... [2025-12-04 10:08:31.191695][1759.11981831], took 0.07min 2025-12-04T10:08:31.2011966Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_conv/xpu.test_conv-278e472f31365822.xml 2025-12-04T10:08:33.9572027Z 2025-12-04T10:08:33.9573107Z inductor/test_control_flow 2/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_flow_2.5_7b7fe99ac67337d2_.log 2025-12-04T10:08:33.9573872Z Running 0 items in this shard: 2025-12-04T10:08:33.9574080Z 2025-12-04T10:08:33.9574353Z Finished inductor/test_control_flow 2/5 ... [2025-12-04 10:08:33.957070][1761.885189866], took 0.13min 2025-12-04T10:08:33.9655696Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_control_flow/inductor.test_control_flow-fa3bca36fb78057b.xml 2025-12-04T10:08:34.8933779Z Running nn/test_packed_sequence 1/1 ... [2025-12-04 10:08:34.892894][1762.821015326] 2025-12-04T10:08:34.8934365Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:34.8936318Z 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 10:08:34.893320] 2025-12-04T10:08:37.6396648Z Running test_numa_binding 1/1 ... [2025-12-04 10:08:37.639214][1765.567335999] 2025-12-04T10:08:37.6397094Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:37.6400063Z 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 10:08:37.639683] 2025-12-04T10:08:38.2880483Z 2025-12-04T10:08:38.2881668Z 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_4e19991c9f0b9d8f_.log 2025-12-04T10:08:38.2882483Z Running 0 items in this shard: 2025-12-04T10:08:38.2882632Z 2025-12-04T10:08:38.2882864Z Finished nn/test_packed_sequence 1/1 ... [2025-12-04 10:08:38.287855][1766.215977096], took 0.06min 2025-12-04T10:08:38.2968220Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_packed_sequence/nn.test_packed_sequence-11136cea96727c89.xml 2025-12-04T10:08:41.0068232Z 2025-12-04T10:08:41.0069362Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_83dd75f6aed54350_.log 2025-12-04T10:08:41.0070324Z Running 0 items in this shard: 2025-12-04T10:08:41.0070607Z 2025-12-04T10:08:41.0070979Z Finished test_numa_binding 1/1 ... [2025-12-04 10:08:41.006784][1768.934903528], took 0.06min 2025-12-04T10:08:41.0155309Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_modules/test_modules-3569dbc6c3041c6c.xml 2025-12-04T10:08:41.0465408Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numa_binding/test_numa_binding-4b5669532d05f56b.xml 2025-12-04T10:08:41.1779769Z 2025-12-04T10:08:41.1780801Z test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.1_8db0154d52aa06a8_.log 2025-12-04T10:08:41.1805520Z Running 50 items in this shard: test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32 2025-12-04T10:08:41.1824746Z 2025-12-04T10:08:41.1824956Z Finished test_modules 1/1 ... [2025-12-04 10:08:41.177902][1769.10602533], took 0.18min 2025-12-04T10:08:41.9984466Z Running test_pruning_op 1/1 ... [2025-12-04 10:08:41.997971][1769.926092984] 2025-12-04T10:08:41.9984945Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:41.9987410Z 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 10:08:41.998441] 2025-12-04T10:08:44.7350375Z Running test_jit_fuser_te 1/1 ... [2025-12-04 10:08:44.734576][1772.662697408] 2025-12-04T10:08:44.7350765Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:44.7352511Z 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 10:08:44.734979] 2025-12-04T10:08:44.9200628Z Running test_logging 1/1 ... [2025-12-04 10:08:44.919603][1772.847724663] 2025-12-04T10:08:44.9201100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:44.9203269Z 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 10:08:44.920022] 2025-12-04T10:08:45.5483533Z 2025-12-04T10:08:45.5490423Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_9de27f873e855e8f_.log 2025-12-04T10:08:45.5498988Z Running 0 items in this shard: 2025-12-04T10:08:45.5505207Z 2025-12-04T10:08:45.5511719Z Finished test_pruning_op 1/1 ... [2025-12-04 10:08:45.550858][1773.478979898], took 0.06min 2025-12-04T10:08:45.5674624Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pruning_op/test_pruning_op-38375d518c0d7492.xml 2025-12-04T10:08:48.2800905Z 2025-12-04T10:08:48.2801941Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_6c10cb86be6cad19_.log 2025-12-04T10:08:48.2802793Z Running 0 items in this shard: 2025-12-04T10:08:48.2803019Z 2025-12-04T10:08:48.2803249Z Finished test_logging 1/1 ... [2025-12-04 10:08:48.279984][1776.208102164], took 0.06min 2025-12-04T10:08:48.2900874Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_logging/test_logging-6887f60eb56003ae.xml 2025-12-04T10:08:49.2671412Z Running nn/test_lazy_modules 1/1 ... [2025-12-04 10:08:49.266646][1777.194766901] 2025-12-04T10:08:49.2671969Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:49.2674072Z 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 10:08:49.267062] 2025-12-04T10:08:51.9819208Z Running nn/test_pruning 1/1 ... [2025-12-04 10:08:51.981415][1779.90953623] 2025-12-04T10:08:51.9819849Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:51.9822188Z 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 10:08:51.981867] 2025-12-04T10:08:53.0502474Z 2025-12-04T10:08:53.0503442Z 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_afbb24f96f7b2cdc_.log 2025-12-04T10:08:53.0504200Z Running 0 items in this shard: 2025-12-04T10:08:53.0504393Z 2025-12-04T10:08:53.0504594Z Finished nn/test_lazy_modules 1/1 ... [2025-12-04 10:08:53.050095][1780.978216738], took 0.06min 2025-12-04T10:08:53.0599354Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_lazy_modules/nn.test_lazy_modules-372b42571c3a9a06.xml 2025-12-04T10:08:55.7474526Z 2025-12-04T10:08:55.7475334Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_f0bcc119354b02eb_.log 2025-12-04T10:08:55.7475979Z Running 0 items in this shard: 2025-12-04T10:08:55.7476125Z 2025-12-04T10:08:55.7476321Z Finished nn/test_pruning 1/1 ... [2025-12-04 10:08:55.747320][1783.675444028], took 0.06min 2025-12-04T10:08:55.7576059Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pruning/nn.test_pruning-d2bfcaf011bae53d.xml 2025-12-04T10:08:56.6326534Z Running test_monitor 1/1 ... [2025-12-04 10:08:56.632184][1784.560305479] 2025-12-04T10:08:56.6327056Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:56.6329193Z 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 10:08:56.632601] 2025-12-04T10:08:59.3590723Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 10:08:59.358657][1787.28677703] 2025-12-04T10:08:59.3591206Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:59.3594418Z 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 10:08:59.359105] 2025-12-04T10:09:00.0045571Z 2025-12-04T10:09:00.0046563Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_3b473833760b1dbc_.log 2025-12-04T10:09:00.0047223Z Running 0 items in this shard: 2025-12-04T10:09:00.0047403Z 2025-12-04T10:09:00.0047630Z Finished test_monitor 1/1 ... [2025-12-04 10:09:00.004438][1787.932559304], took 0.06min 2025-12-04T10:09:00.0150249Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_monitor/test_monitor-8078d77d52d41cca.xml 2025-12-04T10:09:01.5942784Z 2025-12-04T10:09:01.5943630Z 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_4068caec67133c3c_.log 2025-12-04T10:09:01.5974584Z 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 2025-12-04T10:09:01.6002851Z 2025-12-04T10:09:01.6003050Z Finished test_jit_fuser_te 1/1 ... [2025-12-04 10:09:01.594298][1789.522419079], took 0.28min 2025-12-04T10:09:01.6039991Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_fuser_te/test_jit_fuser_te-26f449bb2977c6ca.xml 2025-12-04T10:09:02.9019795Z 2025-12-04T10:09:02.9020869Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_562cd681a661c147_.log 2025-12-04T10:09:02.9022025Z Running 0 items in this shard: 2025-12-04T10:09:02.9022286Z 2025-12-04T10:09:02.9022637Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 10:09:02.901808][1790.82992939], took 0.06min 2025-12-04T10:09:02.9128393Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-bf6dc02be5ea7528.xml 2025-12-04T10:09:03.7897788Z Running test_bundled_inputs 1/1 ... [2025-12-04 10:09:03.789331][1791.717450891] 2025-12-04T10:09:03.7898307Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:03.7900490Z 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 10:09:03.789773] 2025-12-04T10:09:05.2857448Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 10:09:05.285262][1793.213384352] 2025-12-04T10:09:05.2858061Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:05.2859831Z 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 10:09:05.285658] 2025-12-04T10:09:06.5275765Z Running torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 10:09:06.527111][1794.455232361] 2025-12-04T10:09:06.5276480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:06.5277737Z 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 10:09:06.527499] 2025-12-04T10:09:07.1987003Z 2025-12-04T10:09:07.1987945Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_d114056526ef3c21_.log 2025-12-04T10:09:07.1988653Z Running 0 items in this shard: 2025-12-04T10:09:07.1988828Z 2025-12-04T10:09:07.1989116Z Finished test_bundled_inputs 1/1 ... [2025-12-04 10:09:07.198581][1795.12670362], took 0.06min 2025-12-04T10:09:07.2098172Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_bundled_inputs/test_bundled_inputs-903c129b6a39ea48.xml 2025-12-04T10:09:09.1694906Z 2025-12-04T10:09:09.1696449Z 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_3225bddf61a6d99f_.log 2025-12-04T10:09:09.1865739Z Running 0 items in this shard: 2025-12-04T10:09:09.1865957Z 2025-12-04T10:09:09.1866294Z Finished torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 10:09:09.169337][1797.097460346], took 0.06min 2025-12-04T10:09:09.1867391Z 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-c3eb4177809a8e5d.xml 2025-12-04T10:09:10.9156049Z Running test_itt 1/1 ... [2025-12-04 10:09:10.915132][1798.843253321] 2025-12-04T10:09:10.9156506Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:10.9159144Z 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 10:09:10.915596] 2025-12-04T10:09:11.4351735Z 2025-12-04T10:09:11.4353010Z 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_925a2f5c534ed37b_.log 2025-12-04T10:09:11.4354766Z Running 0 items in this shard: 2025-12-04T10:09:11.4355004Z 2025-12-04T10:09:11.4355481Z Finished torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 10:09:11.434934][1799.36305461], took 0.08min 2025-12-04T10:09:11.4505707Z 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-b79998eda0a255ac.xml 2025-12-04T10:09:12.9749473Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 10:09:12.974440][1800.902560673] 2025-12-04T10:09:12.9750323Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:12.9751998Z 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 10:09:12.974844] 2025-12-04T10:09:14.2654353Z 2025-12-04T10:09:14.2655218Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_7cf2e4f76ff674c1_.log 2025-12-04T10:09:14.2656110Z Running 0 items in this shard: 2025-12-04T10:09:14.2656358Z 2025-12-04T10:09:14.2656930Z Finished test_itt 1/1 ... [2025-12-04 10:09:14.265293][1802.193416966], took 0.06min 2025-12-04T10:09:14.2842024Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_itt/test_itt-da41492fd700412b.xml 2025-12-04T10:09:15.1959856Z Running test_masked 1/1 ... [2025-12-04 10:09:15.195529][1803.123649985] 2025-12-04T10:09:15.1960314Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:15.1962987Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_masked.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:15.195988] 2025-12-04T10:09:17.2455508Z 2025-12-04T10:09:17.2456762Z 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_4367ff00e4e1a4c2_.log 2025-12-04T10:09:17.2457668Z Running 0 items in this shard: 2025-12-04T10:09:17.2457840Z 2025-12-04T10:09:17.2458194Z Finished torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 10:09:17.245371][1805.173494618], took 0.07min 2025-12-04T10:09:17.2578895Z 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-81942d67ef296672.xml 2025-12-04T10:09:17.9340337Z Running test_sympy_utils 1/1 ... [2025-12-04 10:09:17.933584][1805.861705455] 2025-12-04T10:09:17.9340808Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:17.9351124Z 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 10:09:17.934037] 2025-12-04T10:09:20.1357137Z 2025-12-04T10:09:20.1358300Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_b1d44dba832d9be8_.log 2025-12-04T10:09:20.1359252Z Running 0 items in this shard: 2025-12-04T10:09:20.1359480Z 2025-12-04T10:09:20.1359740Z Finished test_masked 1/1 ... [2025-12-04 10:09:20.135601][1808.063720577], took 0.08min 2025-12-04T10:09:20.1480501Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_masked/test_masked-b1e553e6806f99b5.xml 2025-12-04T10:09:20.9580968Z Running test_subclass 1/1 ... [2025-12-04 10:09:20.957594][1808.885715804] 2025-12-04T10:09:20.9581568Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:20.9584521Z 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 10:09:20.958100] 2025-12-04T10:09:21.9660252Z 2025-12-04T10:09:21.9661441Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_be2d5b704115d448_.log 2025-12-04T10:09:21.9662149Z Running 0 items in this shard: 2025-12-04T10:09:21.9662331Z 2025-12-04T10:09:21.9662573Z Finished test_sympy_utils 1/1 ... [2025-12-04 10:09:21.965893][1809.894015432], took 0.07min 2025-12-04T10:09:21.9856961Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sympy_utils/test_sympy_utils-eb29b3e22bd56178.xml 2025-12-04T10:09:24.0020117Z Running test_import_stats 1/1 ... [2025-12-04 10:09:24.001543][1811.929663999] 2025-12-04T10:09:24.0020692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:24.0023415Z 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 10:09:24.002015] 2025-12-04T10:09:24.6068378Z 2025-12-04T10:09:24.6069165Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_b0ebcf2c095063d5_.log 2025-12-04T10:09:24.6069925Z Running 0 items in this shard: 2025-12-04T10:09:24.6070481Z 2025-12-04T10:09:24.6070733Z Finished test_subclass 1/1 ... [2025-12-04 10:09:24.606697][1812.534819813], took 0.06min 2025-12-04T10:09:24.6199701Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_subclass/test_subclass-ae14d063d74a1828.xml 2025-12-04T10:09:25.6121113Z Running functorch/test_vmap_registrations 1/1 ... [2025-12-04 10:09:25.611640][1813.53976109] 2025-12-04T10:09:25.6121631Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:25.6124122Z 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 10:09:25.612087] 2025-12-04T10:09:27.4585404Z 2025-12-04T10:09:27.4586404Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_81427d60c36189f4_.log 2025-12-04T10:09:27.4587121Z Running 0 items in this shard: 2025-12-04T10:09:27.4587301Z 2025-12-04T10:09:27.4587545Z Finished test_import_stats 1/1 ... [2025-12-04 10:09:27.458442][1815.386567246], took 0.06min 2025-12-04T10:09:27.4718323Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_import_stats/test_import_stats-d1348d166156a1e4.xml 2025-12-04T10:09:28.2843697Z Running nn/test_parametrization 1/1 ... [2025-12-04 10:09:28.283872][1816.211992253] 2025-12-04T10:09:28.2844421Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:28.2846168Z 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 10:09:28.284310] 2025-12-04T10:09:31.1237087Z Running test_mkldnn_fusion 1/1 ... [2025-12-04 10:09:31.123242][1819.051363405] 2025-12-04T10:09:31.1237586Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:31.1240047Z 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 10:09:31.123706] 2025-12-04T10:09:31.6294428Z 2025-12-04T10:09:31.6295742Z 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_d424baf15de02540_.log 2025-12-04T10:09:31.6296565Z Running 0 items in this shard: 2025-12-04T10:09:31.6296748Z 2025-12-04T10:09:31.6297051Z Finished functorch/test_vmap_registrations 1/1 ... [2025-12-04 10:09:31.629338][1819.557457113], took 0.10min 2025-12-04T10:09:31.6431763Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap_registrations/functorch.test_vmap_registrations-73e16d7036b1fa7d.xml 2025-12-04T10:09:31.6895427Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_parametrization/nn.test_parametrization-3e499baec8acc31e.xml 2025-12-04T10:09:32.2162576Z 2025-12-04T10:09:32.2163852Z nn/test_parametrization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_parametrization_1.1_c430ee67c0e99598_.log 2025-12-04T10:09:32.2185637Z 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 2025-12-04T10:09:32.2205593Z 2025-12-04T10:09:32.2205815Z Finished nn/test_parametrization 1/1 ... [2025-12-04 10:09:32.216261][1820.144379931], took 0.07min 2025-12-04T10:09:35.7411091Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:09:35.740617][1823.668738752] 2025-12-04T10:09:35.7411593Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:35.7414311Z 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 10:09:35.741102] 2025-12-04T10:09:36.2725493Z Running test_dynamic_shapes 1/1 ... [2025-12-04 10:09:36.272108][1824.200228995] 2025-12-04T10:09:36.2725936Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:36.2729669Z 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 10:09:36.272617] 2025-12-04T10:09:41.6435947Z 2025-12-04T10:09:41.6437913Z 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_bcd36db6409a5ed9_.log 2025-12-04T10:09:41.6439389Z Running 0 items in this shard: 2025-12-04T10:09:41.6439757Z 2025-12-04T10:09:41.6440421Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 10:09:41.643217][1829.571334705], took 0.10min 2025-12-04T10:09:41.6657740Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-57fee939f6d36d69.xml 2025-12-04T10:09:47.3294589Z Running complex_tensor/test_complex_tensor 1/3 ... [2025-12-04 10:09:47.328933][1835.257053942] 2025-12-04T10:09:47.3295271Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:47.3297265Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'complex_tensor/test_complex_tensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:47.329404] 2025-12-04T10:09:54.4755734Z 2025-12-04T10:09:54.4756844Z complex_tensor/test_complex_tensor 1/3 was successful, full logs can be found in artifacts with path test/test-reports/complex_tensor.test_complex_tensor_1.3_d649ed9e53b89bb6_.log 2025-12-04T10:09:54.4757681Z Running 0 items in this shard: 2025-12-04T10:09:54.4757862Z 2025-12-04T10:09:54.4758183Z Finished complex_tensor/test_complex_tensor 1/3 ... [2025-12-04 10:09:54.475436][1842.403558722], took 0.12min 2025-12-04T10:09:54.4930549Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-cbba3891ccec9c6f.xml 2025-12-04T10:09:54.5488998Z 2025-12-04T10:09:54.5489915Z PRINTING LOG FILE of test_dynamic_shapes 1/1 (test/test-reports/test_dynamic_shapes_1.1_dbc94de8c813f213_.log) 2025-12-04T10:09:54.5491211Z Test results will be stored in test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-cbba3891ccec9c6f.xml 2025-12-04T10:09:54.5492260Z ============================= test session starts ============================== 2025-12-04T10:09:54.5493151Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:09:54.5493910Z cachedir: .pytest_cache 2025-12-04T10:09:54.5494896Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:09:54.5495945Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:09:54.5496299Z configfile: pytest.ini 2025-12-04T10:09:54.5497134Z 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 2025-12-04T10:09:54.5497963Z collecting ... collected 378 items 2025-12-04T10:09:54.5498367Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:09:54.5515745Z 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 2025-12-04T10:09:54.5533810Z 2025-12-04T10:09:54.5534217Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [10.8278s] [ 2%] 2025-12-04T10:09:54.5535138Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0373s] [ 2%] 2025-12-04T10:09:54.5536014Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0180s] [ 2%] 2025-12-04T10:09:54.5536873Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0253s] [ 2%] 2025-12-04T10:09:54.5537721Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0302s] [ 2%] 2025-12-04T10:09:54.5538649Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0247s] [ 2%] 2025-12-04T10:09:54.5539514Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0302s] [ 2%] 2025-12-04T10:09:54.5540407Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0382s] [ 2%] 2025-12-04T10:09:54.5541439Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0378s] [ 2%] 2025-12-04T10:09:54.5542825Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0310s] [ 2%] 2025-12-04T10:09:54.5543625Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0167s] [ 2%] 2025-12-04T10:09:54.5544494Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0296s] [ 2%] 2025-12-04T10:09:54.5545361Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0188s] [ 2%] 2025-12-04T10:09:54.5546475Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0301s] [ 2%] 2025-12-04T10:09:54.5547332Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0241s] [ 2%] 2025-12-04T10:09:54.5548156Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0134s] [ 2%] 2025-12-04T10:09:54.5549081Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0293s] [ 2%] 2025-12-04T10:09:54.5549953Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0239s] [ 2%] 2025-12-04T10:09:54.5550818Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0242s] [ 2%] 2025-12-04T10:09:54.5551677Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0117s] [ 2%] 2025-12-04T10:09:54.5552536Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0128s] [ 2%] 2025-12-04T10:09:54.5553449Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0284s] [ 2%] 2025-12-04T10:09:54.5554316Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0281s] [ 2%] 2025-12-04T10:09:54.5555176Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0332s] [ 2%] 2025-12-04T10:09:54.5556051Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0191s] [ 2%] 2025-12-04T10:09:54.5556985Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0147s] [ 2%] 2025-12-04T10:09:54.5557864Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0224s] [ 2%] 2025-12-04T10:09:54.5558715Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0143s] [ 2%] 2025-12-04T10:09:54.5559599Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0151s] [ 2%] 2025-12-04T10:09:54.5560292Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0113s] [ 2%] 2025-12-04T10:09:54.5560942Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0225s] [ 2%] 2025-12-04T10:09:54.5561599Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0139s] [ 2%] 2025-12-04T10:09:54.5562243Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0230s] [ 2%] 2025-12-04T10:09:54.5562892Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0116s] [ 2%] 2025-12-04T10:09:54.5563547Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0259s] [ 2%] 2025-12-04T10:09:54.5564199Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0129s] [ 2%] 2025-12-04T10:09:54.5564842Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0173s] [ 2%] 2025-12-04T10:09:54.5565497Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0147s] [ 2%] 2025-12-04T10:09:54.5566148Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0298s] [ 2%] 2025-12-04T10:09:54.5566800Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0277s] [ 2%] 2025-12-04T10:09:54.5567444Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0293s] [ 2%] 2025-12-04T10:09:54.5568088Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0349s] [ 2%] 2025-12-04T10:09:54.5568979Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0174s] [ 2%] 2025-12-04T10:09:54.5569629Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0114s] [ 2%] 2025-12-04T10:09:54.5570275Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0249s] [ 2%] 2025-12-04T10:09:54.5570922Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0299s] [ 2%] 2025-12-04T10:09:54.5571696Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0244s] [ 2%] 2025-12-04T10:09:54.5572337Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0305s] [ 2%] 2025-12-04T10:09:54.5572982Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0288s] [ 2%] 2025-12-04T10:09:54.5573630Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0310s] [ 2%] 2025-12-04T10:09:54.5574007Z 2025-12-04T10:09:54.5574143Z =================================== FAILURES =================================== 2025-12-04T10:09:54.5574578Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.5575097Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.5575568Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.5576203Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.5578485Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.5580740Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.5581637Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.5582389Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.5583131Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.5583862Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.5584642Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.5585433Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5586164Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.5586898Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.5587638Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.5588364Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.5589124Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.5589882Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5590737Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.5591497Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5592279Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.5593182Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5593915Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.5594659Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5595400Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.5596142Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5596861Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.5597561Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.5598202Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.5598814Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.5599423Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.5600076Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.5600781Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.5601913Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5603090Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.5604020Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.5605169Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5606615Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5608661Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5610685Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5611917Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.5613262Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5614855Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.5616991Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5618709Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5619905Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.5620637Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5621575Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5622409Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5623242Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5624296Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.5625532Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.5626362Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.5626881Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.5627364Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.5627770Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.5628127Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.5628595Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.5630520Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.5632185Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.5632724Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.5633402Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.5634156Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.5634879Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.5635655Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.5636441Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5637172Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.5637895Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.5638628Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.5639348Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.5640102Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.5640851Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5641605Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.5642358Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5643130Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.5643898Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5644633Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.5645363Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5646092Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.5646819Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5647530Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.5648221Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.5648856Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.5649452Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.5650049Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.5650688Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.5651491Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.5652608Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5653782Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.5654778Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.5655935Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5657361Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5659379Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5661466Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5662688Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.5663927Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5665507Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.5667558Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5669555Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5670690Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.5671646Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5672783Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5673983Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5675109Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5676518Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.5678283Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.5679389Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.5680079Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.5680716Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.5681218Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.5681675Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.5682293Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.5686566Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.5690792Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.5691525Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.5692280Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.5693013Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.5693734Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.5694509Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.5695286Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5696010Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.5696739Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.5697467Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.5698189Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.5698943Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.5699688Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5700564Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.5701430Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5702206Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.5703075Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5703809Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.5704540Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5705273Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.5706006Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5706727Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.5707419Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.5708053Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.5708653Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.5709252Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.5709906Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.5710619Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.5711721Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5712885Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.5713798Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.5714947Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5716371Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5718390Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5720602Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5721822Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.5723260Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5724846Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.5727030Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5729050Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5730185Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.5731145Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5732270Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5733388Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5734517Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5735921Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.5737594Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.5738706Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.5739375Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.5740017Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.5740648Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.5741335Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.5742150Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.5745284Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.5748254Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.5749198Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.5750273Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.5751226Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.5752191Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.5753212Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.5754252Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5755208Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.5756059Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.5756802Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.5757531Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.5758283Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.5759038Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5759801Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.5760561Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5761331Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.5762116Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5762852Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.5763583Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5764310Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.5765436Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5766751Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.5767933Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.5769065Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.5770087Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.5771089Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.5772080Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.5773736Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.5775643Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5777617Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.5779306Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.5781024Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5783529Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5786339Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5788383Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5789615Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.5790992Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5793166Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.5795978Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5798505Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5800057Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.5801364Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5802908Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5804660Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5806136Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5808177Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.5810797Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.5812446Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.5813209Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.5813856Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.5814354Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.5814815Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.5815438Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.5818015Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.5823020Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.5824532Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.5825326Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.5826057Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.5828033Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.5831247Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.5833909Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5834672Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.5835437Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.5836187Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.5838101Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.5841152Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.5843430Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5845039Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.5845964Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5846982Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.5848349Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5849305Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.5850271Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5851234Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.5852217Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5853186Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.5854116Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.5855010Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.5855859Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.5856717Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.5857657Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.5858741Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.5860319Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5862212Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.5863529Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.5865053Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5866517Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5869873Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5874040Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5875333Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.5880096Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5883365Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.5885868Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5888646Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5890193Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.5891492Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5892940Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5894499Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5896040Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5897968Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.5899999Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.5902205Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.5902964Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.5903779Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.5904445Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.5905051Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.5905828Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.5908910Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.5911657Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.5912630Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.5913978Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.5915051Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.5916102Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.5917217Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.5918364Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5919613Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.5920356Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.5921104Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.5921836Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.5922598Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.5923349Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5924460Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.5925697Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5927400Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.5928217Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5929020Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.5930040Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5931063Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.5932088Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5933083Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.5933929Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.5934569Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.5935167Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.5935765Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.5936404Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.5937367Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.5938487Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5939665Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.5940851Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.5942152Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5943582Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5945612Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5947625Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5948849Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.5950089Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5951667Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.5953708Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5955702Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5956852Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.5957807Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5958942Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5960176Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5961305Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5962707Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.5964472Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.5965578Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.5966254Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.5966895Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.5967393Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.5967854Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.5968470Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.5970714Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.5972911Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.5973617Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.5974351Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.5975082Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.5975803Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.5976580Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.5977391Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5978114Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.5978834Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.5979565Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.5980290Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.5981044Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.5981920Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5982808Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.5983562Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5984334Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.5985232Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5985968Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.5986702Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5987435Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.5988163Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.5988876Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.5989571Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.5990206Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.5990798Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.5991394Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.5992019Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.5992561Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.5993391Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5994266Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.5994952Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.5995834Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5996919Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.5998433Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.5999934Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6000851Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6001876Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6003058Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6004667Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6006169Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6007016Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6007738Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6008594Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6009427Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6010271Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6011322Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6012558Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6013393Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6013902Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6014409Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6014785Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6015136Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6015604Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6017383Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6019345Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6019875Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6020578Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6021133Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6021779Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6022360Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6022954Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6023497Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6024042Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6024585Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6025122Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6026102Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6027422Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6028428Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6029436Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6030431Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6031472Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6032440Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6033394Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6034366Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6035340Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6036286Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6037210Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6038076Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6038886Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6039684Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6040552Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6041746Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6043240Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6044796Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6046171Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6047731Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6049651Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6052404Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6055096Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6056811Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6058825Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6060982Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6063857Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6066652Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6068453Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6069733Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6071264Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6072958Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6074500Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6076398Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6078828Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6080347Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6081265Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6082120Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6082768Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6083372Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6084227Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6087299Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6090272Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6091239Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6092266Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6093253Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6094240Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6095272Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6096329Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6097327Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6098330Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6099310Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6100308Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6101428Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6102433Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6103629Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6104658Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6105723Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6106918Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6107889Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6108874Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6109850Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6110872Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6111846Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6112794Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6113640Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6114443Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6115240Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6116118Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6117096Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6118608Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6120447Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6121678Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6123260Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6125206Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6127959Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6130682Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6132367Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6134354Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6136518Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6139543Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6142416Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6143964Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6145268Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6146794Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6148337Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6149874Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6151776Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6154021Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6155528Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6156461Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6157333Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6158004Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6158598Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6159416Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6162646Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6165619Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6166573Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6167735Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6168711Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6169711Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6170761Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6171793Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6172764Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6173733Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6174742Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6175726Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6176765Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6177773Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6178782Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6179776Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6180844Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6182029Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6183012Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6183991Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6184978Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6185980Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6186968Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6187892Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6188765Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6189585Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6190375Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6191234Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6192399Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6193951Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6195403Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6196433Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6197595Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6199035Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6201212Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6203853Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6237384Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6239520Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6241700Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6244451Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6247191Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6248754Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6250055Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6251583Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6253572Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6255075Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6256946Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6259381Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6260819Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6261675Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6262335Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6262861Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6263336Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6263969Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6266233Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6268444Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6269160Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6269898Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6270633Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6271351Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6272134Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6272908Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6273629Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6274350Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6275084Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6275806Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6276561Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6277314Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6278172Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6278931Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6279703Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6280582Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6281319Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6282049Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6282803Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6283529Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6284243Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6284940Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6285577Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6286176Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6286788Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6287434Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6288145Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6289267Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6290434Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6291351Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6292504Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6293934Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6295955Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6297954Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6299268Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6300512Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6302181Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6304304Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6306299Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6307426Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6308383Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6309516Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6310630Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6311756Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6313154Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6314800Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6315899Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6316567Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6317208Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6317705Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6318156Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6318991Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6321340Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6322998Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6323624Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6324306Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6324866Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6325420Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6326007Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6326614Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6327158Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6327707Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6328268Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6328811Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6329372Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6329934Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6330494Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6331049Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6331624Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6332203Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6332753Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6333304Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6333843Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6334401Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6334936Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6335452Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6335933Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6336388Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6336834Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6337308Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6338610Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6339456Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6340324Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6341073Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6342439Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6344327Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6346961Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6349604Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6351230Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6352864Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6354929Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6357628Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6360276Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6361759Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6363030Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6364514Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6366112Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6367603Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6369444Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6371781Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6373247Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6374115Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6374951Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6375613Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6376221Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6377017Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6379977Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6383006Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6383922Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6384876Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6385819Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6386785Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6387789Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6388808Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6389753Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6390704Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6391679Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6392628Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6393616Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6394594Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6395736Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6396720Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6397734Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6398882Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6399850Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6400811Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6401747Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6402715Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6403643Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6404556Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6405373Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6406153Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6406937Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6407764Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6408698Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6410142Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6411651Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6412852Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6414198Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6415649Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6417676Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6419979Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6421459Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6422707Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6424281Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6426436Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6428424Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6429553Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6430511Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6431638Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6432758Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6433874Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6435270Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6436918Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6438027Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6438696Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6439331Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6439834Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6440304Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6440922Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6443290Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6445501Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6446208Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6447041Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6447774Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6448494Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6449275Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6450053Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6450775Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6451495Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6452227Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6452951Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6453707Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6454458Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6455210Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6455962Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6456737Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6457507Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6458241Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6458974Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6459709Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6460435Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6461149Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6461910Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6462545Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6463147Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6463744Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6464386Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6465204Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6466329Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6467493Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6468488Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6469649Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6471086Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6473102Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6475119Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6476190Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6477138Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6478373Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6479902Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6481389Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6482242Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6482965Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6483815Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6484748Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6485591Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6486652Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6488378Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6490798Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6491754Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6492414Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6492924Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6493414Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6494181Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6497239Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6500224Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6501178Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6502320Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6503314Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6504293Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6505355Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6506402Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6507384Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6508364Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6509355Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6510329Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6511359Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6512492Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6513518Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6514532Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6515584Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6516738Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6517760Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6518987Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6520005Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6520985Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6521961Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6522897Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6523757Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6524566Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6525382Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6526252Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6527218Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6528721Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6530296Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6531538Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6533085Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6535014Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6537733Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6540439Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6542460Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6544136Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6546277Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6549182Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6551892Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6553410Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6554686Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6556235Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6557747Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6559274Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6561148Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6563389Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6564887Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6565804Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6566680Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6567328Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6567950Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6568783Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6571990Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6574971Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6575918Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6577027Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6577994Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6578974Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6580024Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6581055Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6582140Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6583119Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6584096Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6585078Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6586097Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6587109Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6588113Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6589138Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6590170Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6591204Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6592197Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6593182Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6594178Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6595183Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6596147Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6597090Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6597940Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6598745Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6599550Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6600417Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6601483Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6603006Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6604495Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6605516Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6606680Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6608120Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6610160Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6612173Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6613411Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6614660Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6616248Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6618301Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6620548Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6621939Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6623185Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6624720Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6626454Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6628007Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6629902Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6632315Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6633813Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6634722Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6635601Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6636258Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6636902Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6637769Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6640776Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6643731Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6644685Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6645682Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6646674Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6647628Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6648690Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6649733Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6650726Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6651697Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6652692Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6653651Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6654667Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6655863Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6656847Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6657878Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6658914Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6660180Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6661153Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6662292Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6663279Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6664259Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6665214Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6666159Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6667026Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6667884Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6668689Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6669565Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6670485Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6671993Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6673919Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6675153Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6676698Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6678620Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6681327Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6683404Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6684745Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6686179Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6688035Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6690676Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6693005Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6694425Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6695684Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6697080Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6698510Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6699915Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6701707Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6703697Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6705099Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6705920Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6706768Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6707385Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6707998Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6708849Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6711916Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6714759Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6715675Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6716799Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6717705Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6718559Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6719876Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6720800Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6721656Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6722505Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6723420Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6724341Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6725234Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6726168Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6727081Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6728026Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6728953Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6729911Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6730832Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6731751Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6732682Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6733584Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6734493Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6735435Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6736261Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6737007Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6737833Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6738646Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6740049Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6741553Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6743053Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6744629Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6746058Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6747774Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6750183Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6752650Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6754226Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6755735Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6757589Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6760060Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6760896Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6761305Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6761962Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6762594Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6763495Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6764186Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6765147Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6766311Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6766630Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6767079Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6767332Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6767590Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6767848Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6768277Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6770459Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6770858Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6771244Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6771658Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6772075Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6772455Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6772939Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6773341Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6773726Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6774142Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6774553Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6774970Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6775401Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6776006Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6776449Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6776830Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6777279Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6778972Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6779408Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6779822Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6780226Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6780654Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6781055Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6781545Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6781884Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6782203Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6782498Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6782855Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6783216Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6784050Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6784471Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6785026Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6785727Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6786609Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6788035Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6788977Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6789802Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6790713Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6791642Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6793176Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6794039Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6794472Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6795205Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6795846Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6796478Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6797091Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6797972Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6798900Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6799182Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6799637Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6799937Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6800179Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6800409Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6800805Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6803215Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6803613Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6804031Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6804598Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6804968Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6805379Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6805834Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6806200Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6806560Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6806941Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6807343Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6807698Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6808160Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6808563Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6809047Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6809460Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6809892Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6810316Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6810721Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6811124Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6811554Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6811965Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6812372Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6812772Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6813080Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6813420Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6813696Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6814052Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6814621Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6815498Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6815964Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6816668Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6817411Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6818275Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6820014Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6820905Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6821530Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6822369Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6823246Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6824616Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6825468Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6825881Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6826504Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6827145Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6828048Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6828742Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6829688Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6831008Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6831317Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6831719Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6832027Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6832305Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6832543Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6832969Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6835138Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6835539Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6835930Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6836369Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6836763Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6837186Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6837642Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6838036Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6838448Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6838871Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6839291Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6839649Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6840043Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6840618Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6841065Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6841456Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6841915Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6842458Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6842872Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6843236Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6843654Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6844074Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6844477Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6844878Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6845189Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6845573Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6845894Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6846245Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6846649Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6847533Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6848004Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6848535Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6849254Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6850120Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6851527Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6852405Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6853043Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6853906Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6854747Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6856333Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6857223Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6857631Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6858282Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6858914Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6859546Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6860148Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6861053Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6862125Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6862457Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6862853Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6863123Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6863345Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6863571Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6863983Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6866331Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6866726Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6867080Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6867597Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6867981Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6868345Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6868784Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6869144Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6869496Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6869876Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6870246Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6870627Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6871028Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6871403Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6871828Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6872229Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6872650Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6873027Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6873399Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6873776Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6874184Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6874560Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6874902Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6875245Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6875572Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6875881Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6876197Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6876554Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6877055Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6877870Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6878442Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6878993Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6879730Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6880640Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6882023Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6882892Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6883381Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6884218Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6885113Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6886519Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6887470Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6887865Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6888539Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6889156Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6889946Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6890589Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6891533Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6892581Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6892880Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6893305Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6893568Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6893819Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6894060Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6894452Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6896594Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6896958Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6897345Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6897725Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6898106Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6898475Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6898904Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6899290Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6899669Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6900073Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6900464Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6900875Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6901503Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6902053Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6902504Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6902896Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6903332Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6903889Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6904256Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6904658Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6905056Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6905437Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6905807Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6906165Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6906492Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6906829Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6907129Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6907510Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6907895Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6908754Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6909197Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6909726Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6910432Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6911303Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6912744Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6913638Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6914316Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6915231Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6916160Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6917751Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6918645Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6919320Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6919967Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6920596Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6921239Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6921884Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6922810Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6923747Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6924036Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6924430Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6924690Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6924912Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6925166Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6925576Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6928095Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6928494Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6929098Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6929504Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6929893Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6930300Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6930758Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6931147Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6931541Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6931940Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6932337Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6932717Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6933125Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6933526Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6933930Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6934317Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6934735Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6935116Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6935516Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6935882Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6936276Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6936667Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6937113Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6937556Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6937932Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6938343Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6938698Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6939142Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6939706Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6940574Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6941157Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6941848Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6942604Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6943523Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6944784Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6945532Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6945949Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6946702Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6947462Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6948681Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6949407Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6949736Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6950276Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6950799Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6951434Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6951965Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6952759Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6953737Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6953985Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6954319Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6954530Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6954725Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6954906Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6955244Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6957082Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6957387Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6957702Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6958025Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6958334Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6958647Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6959015Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6959328Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6959639Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6959951Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6960261Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6960574Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6960910Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6961316Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6961655Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6961962Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6962322Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6962719Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6963042Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6963351Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6963671Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6963984Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6964281Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6964577Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6964816Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6965077Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6965315Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6965615Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6965919Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6966632Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6967005Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6967458Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6968061Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6968797Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6969998Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6970725Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6971219Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6971950Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6972710Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6973994Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6974719Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6975059Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.6975604Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6976113Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6976629Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6977153Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6977937Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6978715Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.6978954Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6979290Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.6979495Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.6979686Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.6979865Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.6980197Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.6982251Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.6982555Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.6982955Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.6983271Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.6983585Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.6983895Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.6984264Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.6984585Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6984893Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.6985218Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.6985526Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.6985833Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.6986176Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.6986518Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6986932Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.6987298Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6987724Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.6988100Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6988467Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.6988781Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6989102Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.6989411Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.6989716Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.6990011Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.6990251Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.6990513Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.6990746Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.6991055Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.6991465Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.6992180Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6992623Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.6993073Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.6993679Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6994413Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6995611Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6996337Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.6996753Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.6997480Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.6998242Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.6999438Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7000160Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7000479Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7001010Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7001522Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7002110Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7002643Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7003422Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7004280Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7004518Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7004857Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7005060Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7005245Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7005433Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7005763Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7007594Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7007893Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7008209Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7008523Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7008830Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7009144Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7009504Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7009823Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7010126Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7010443Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7010753Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7011062Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7011408Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7011800Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7012155Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7012470Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7012910Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7013225Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7013546Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7013862Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7014191Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7014501Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7014804Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7015099Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7015335Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7015602Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7015834Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7016135Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7016446Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7017148Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7017581Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7017935Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7018395Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7019194Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7020092Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7020643Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7021085Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7021703Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7022269Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7023275Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7023811Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7024057Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7024460Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7024865Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7025246Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7025641Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7026227Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7026804Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7027002Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7027273Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7027441Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7027587Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7027722Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7027977Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7029422Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7029659Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7029960Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7030206Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7030436Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7030670Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7030951Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7031184Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7031417Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7031658Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7031886Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7032141Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7032398Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7032636Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7032886Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7033114Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7033387Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7033617Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7033857Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7034085Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7034325Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7034561Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7034784Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7035010Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7035186Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7035384Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7035564Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7035789Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7036088Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7036620Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7036965Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7037305Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7037755Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7038306Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7039196Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7039742Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7040050Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7040594Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7041153Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7042054Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7042588Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7042827Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7043235Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7043614Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7044079Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7044475Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7045131Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7045708Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7045897Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7046145Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7046298Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7046444Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7046579Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7046827Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7048183Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7048418Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7048654Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7048890Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7049125Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7049355Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7049627Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7049863Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7050090Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7050335Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7050562Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7050803Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7051067Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7051367Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7051628Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7051859Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7052210Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7052446Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7052683Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7052917Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7053157Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7053384Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7053611Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7053833Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7054013Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7054221Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7054420Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7066891Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7067187Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7067755Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7068049Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7068402Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7068877Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7069433Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7070342Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7070928Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7071378Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7071950Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7072598Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7073621Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7074184Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7074435Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7074854Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7075240Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7075619Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7076017Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7076611Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7077196Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7077380Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7077640Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7077808Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7077970Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7078123Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7078386Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7079842Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7080078Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7080390Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7080638Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7080881Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7081126Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7081409Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7081653Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7081883Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7082127Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7082373Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7082605Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7082870Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7083108Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7083363Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7083600Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7083874Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7084111Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7084350Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7084579Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7084824Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7085054Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7085290Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7085514Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7085697Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7085909Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7086085Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7086317Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7086627Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7087176Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7087532Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7087871Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7088331Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7088882Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7089807Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7090359Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7090673Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7091223Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7091795Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7092953Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7094365Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7095384Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7096954Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7098417Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7100765Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7102348Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7104870Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7106647Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7107720Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7108975Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7109973Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7110766Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7111670Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7112921Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7116606Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7117984Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7119588Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7120693Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7121761Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7122890Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7124263Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7125322Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7126628Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7127701Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7128399Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7128869Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7129229Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7130328Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7130675Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7130991Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7131536Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7131856Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7132194Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7132514Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7132847Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7133174Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7133482Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7133800Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7134045Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7134318Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7134572Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7134881Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7135205Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7135920Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7136344Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7136977Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7137814Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7138899Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7140639Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7141879Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7142694Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7143787Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7145102Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7146842Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7147944Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7148491Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7149269Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7149999Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7150728Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7151486Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7152565Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7153618Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7153945Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7154396Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7154667Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7154916Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7155163Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7155606Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7158216Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7158621Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7159132Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7159563Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7159971Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7160393Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7160886Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7161302Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7161716Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7162143Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7162564Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7162986Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7163436Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7163871Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7164328Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7164694Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7165061Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7165376Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7165700Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7166135Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7166656Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7167172Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7167662Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7168200Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7168556Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7169018Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7169374Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7169799Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7170569Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7171605Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7172370Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7173028Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7173883Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7174972Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7176731Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7177844Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7178465Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7179523Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7180627Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7182518Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7183496Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7183935Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7184654Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7185348Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7186143Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7186850Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7188014Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7189063Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7189402Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7189846Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7190127Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7190370Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7190609Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7191060Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7193563Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7193974Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7194376Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7194703Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7195016Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7195327Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7195700Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7196292Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7197144Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7198079Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7198853Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7199994Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7200973Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7202867Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7203631Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7204022Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7204630Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7204946Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7205370Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7206039Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7206964Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7208096Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7209208Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7210448Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7211694Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7212734Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7213118Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7213460Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7213821Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7214561Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7214930Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7215391Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7216098Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7217110Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7218671Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7219935Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7220746Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7221875Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7223104Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7224697Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7225685Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7226115Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7226866Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7227570Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7228231Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7228949Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7229981Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7231019Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7231372Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7231801Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7232082Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7232343Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7232586Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7233037Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7235603Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7236033Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7236603Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7237039Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7237443Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7237859Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7238352Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7238777Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7239194Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7239634Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7240046Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7240451Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7240918Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7241346Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7241812Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7242232Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7242723Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7243138Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7243563Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7243996Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7244444Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7244859Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7245281Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7245692Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7246030Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7246379Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7246677Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7247094Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7247647Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7248604Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7249246Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7249856Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7250669Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7251662Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7253268Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7254233Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7254817Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7255796Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7256850Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7258445Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7259434Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7259859Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7260590Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7261406Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7262225Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7262945Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7264086Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7265123Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7265454Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7265920Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7266199Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7266446Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7266691Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7267146Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7269610Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7270015Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7270448Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7270872Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7271290Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7271711Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7272211Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7272646Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7273061Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7273478Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7273900Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7274314Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7274784Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7275306Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7275760Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7276173Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7276833Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7277242Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7277670Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7278085Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7278530Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7278935Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7279339Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7279747Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7280055Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7280413Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7280724Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7281104Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7281532Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7282464Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7282953Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7283535Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7284344Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7285313Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7286880Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7287854Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7288529Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7289512Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7290616Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7292165Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7293115Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7293559Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7294263Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7294950Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7295615Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7296314Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7297326Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7298359Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7298702Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7299109Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7299391Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7299638Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7299883Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7300344Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7302987Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7303415Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7303963Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7304402Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7304796Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7305207Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7305703Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7306126Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7306547Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7306980Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7307388Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7307804Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7308248Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7308664Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7309103Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7309515Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7310009Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7310402Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7310828Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7311241Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7311681Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7312108Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7312479Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7312894Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7313201Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7313553Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7313878Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7314245Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7314787Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7315725Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7316314Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7316914Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7327793Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7328814Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7330401Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7331360Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7331973Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7332933Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7333956Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7335525Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7336489Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7336874Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7337415Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7337918Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7338642Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7339174Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7340027Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7340835Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7341432Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7341902Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7342187Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7342440Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7342698Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7343136Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7345569Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7346001Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7346432Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7346844Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7347271Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7347722Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7348218Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7348638Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7349044Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7349470Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7349894Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7350310Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7350765Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7351314Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7351782Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7352202Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7352731Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7353152Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7353578Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7354181Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7354623Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7355046Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7355455Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7355856Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7356168Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7356526Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7356846Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7357265Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7357679Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7358619Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7359124Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7359710Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7360538Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7361512Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7363100Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7364083Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7364798Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7365775Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7366851Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7368469Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7369585Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7370047Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7370729Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7371414Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7372113Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7372822Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7373868Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7374892Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7375231Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7375672Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7375951Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7376207Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7376447Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7376912Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7379420Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7379857Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7380328Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7380768Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7381168Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7381815Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7382327Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7382736Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7383140Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7383582Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7384004Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7384422Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7384896Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7385330Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7385790Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7386222Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7386704Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7387102Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7387558Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7387982Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7388420Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7388822Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7389218Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7389613Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7389927Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7390287Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7390593Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7391144Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7391564Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7392497Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7393055Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7393648Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7394530Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7395519Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7397109Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7398077Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7398628Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7399585Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7400343Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7401534Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7402251Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7402576Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7403101Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7403608Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7404209Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7404732Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7405556Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7406322Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7406622Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7406958Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7407170Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7407357Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7407537Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7407875Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7409701Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7410005Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7410313Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7410626Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7410937Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7411248Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7411611Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7411920Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7412226Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7412555Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7412861Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7413170Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7413508Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7413906Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7414250Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7414556Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7414959Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7415264Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7415578Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7415945Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7416264Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7416578Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7416874Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7417165Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7417403Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7417661Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7417901Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7418205Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7418503Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7419428Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7419793Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7420245Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7420845Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7421649Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7422836Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7423564Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7424132Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7424859Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7425682Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7426867Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7427703Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7428024Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7428556Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7429058Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7429570Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7430088Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7430869Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7431633Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7431871Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7432204Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7432407Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7432596Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7432771Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7433099Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7435418Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7435730Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7436085Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7436399Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7436713Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7437075Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7437436Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7437747Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7438049Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7438369Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7438671Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7438977Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7439318Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7439628Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7439962Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7440267Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7440620Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7440931Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7441245Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7441557Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7441873Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7442178Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7442480Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7442771Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7443012Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7443268Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7443501Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7443954Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7444260Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7444968Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7445369Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7445813Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7446470Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7447222Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7448413Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7449132Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7449546Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7450273Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7451029Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7452208Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7452926Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7453243Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7453768Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7454277Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7454867Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7455397Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7456215Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7456987Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7457276Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7457665Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7457825Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7457968Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7458107Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7458355Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7459711Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7459937Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7460167Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7460406Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7460639Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7460890Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7461182Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7461507Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7461747Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7461989Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7462222Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7462453Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7462707Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7463030Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7463291Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7463531Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7463855Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7464086Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7464330Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7464600Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7464848Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7465075Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7465299Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7465528Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7465710Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7465923Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7466109Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7466338Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7466569Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7467102Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7467380Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7467714Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7468178Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7468730Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7469631Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7470180Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7470560Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7471109Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7471707Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7472605Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7473176Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7473424Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7473824Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7474206Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7474586Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7474974Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7475570Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7476161Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7476346Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7476595Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7476758Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7476912Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7477046Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7477305Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7478741Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7478983Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7479253Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7479497Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7479726Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7479997Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7480285Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7480516Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7480749Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7480996Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7481223Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7481460Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7481720Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7481959Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7482209Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7482437Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7482716Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7482944Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7483184Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7483416Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7483653Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7483888Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7484110Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7484335Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7484516Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7484725Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7484915Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7485225Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7485451Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7485984Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7486295Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7486665Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7487249Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7487915Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7488975Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7489529Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7489860Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7490401Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7490972Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7491870Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7492415Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7492671Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7493072Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7493459Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7493925Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7494328Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7494950Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7495541Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7495775Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7496027Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7496193Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7496343Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7496481Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7496780Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7498392Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7498629Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7498864Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7499109Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7499341Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7499591Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7499867Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7500098Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7500334Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7500570Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7500802Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7501031Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7501364Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7501673Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7501925Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7502160Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7502462Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7502688Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7502934Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7503220Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7503464Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7503692Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7503917Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7504144Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7504322Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7504518Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7504699Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7504930Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7505159Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7505689Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7505969Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7506301Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7506769Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7507320Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7508225Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7508775Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7509152Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7509699Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7510320Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7511316Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7511909Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7512162Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7512561Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7512941Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7513333Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7513728Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7514323Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7514909Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7515098Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7515346Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7515502Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7515656Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7515789Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7516043Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7517470Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7517711Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7517977Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7518212Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7518447Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7518718Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7519160Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7519394Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7519620Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7519864Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7520103Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7520340Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7520598Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7520830Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7521090Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7521319Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7521595Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7521826Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7522067Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7522307Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7522544Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7522786Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7523009Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7523230Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7523413Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7523610Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7523796Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7524175Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7524403Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7524940Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7525266Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7525610Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7526122Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7526675Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7527579Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7528133Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7528446Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7528988Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7529561Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7530456Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7531017Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7531259Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7531660Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7532037Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7532496Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7532890Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7533510Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7534090Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7534305Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7534559Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7534712Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7534863Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7534992Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7535240Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7536599Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7536825Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7537064Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7537297Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7537535Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7537777Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7538049Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7538285Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7538513Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7538752Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7538977Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7539204Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7539465Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7539765Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7540020Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7540249Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7540546Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7540782Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7541017Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7541388Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7541633Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7541861Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7542093Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7542316Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7542494Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7542696Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7542871Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7543101Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7543325Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7543852Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7544134Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7544470Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7544930Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7545483Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7546387Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7546932Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7547327Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7547870Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7548473Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7549369Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7549967Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7550210Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7550608Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7550997Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7551376Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7551777Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7552364Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7552945Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7553125Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7553371Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7553531Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7553672Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7553816Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7554068Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7555503Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7555732Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7556002Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7556245Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7556472Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7556743Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7557015Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7557253Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7557487Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7557732Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7557971Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7558201Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7558456Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7558697Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7558949Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7559186Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7559453Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7559682Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7559928Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7560160Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7560402Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7560631Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7560867Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7561263Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7561616Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7562013Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7562346Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7562925Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7563369Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7564378Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7564998Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7565648Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7566632Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7567693Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7569366Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7570392Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7570996Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7572035Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7573107Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7574801Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7575837Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7576326Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7577105Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7577861Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7578738Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7579511Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7580694Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7581868Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7582332Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7582804Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7583113Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7583407Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7583663Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7584155Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7586729Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7587192Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7587641Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7588108Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7588564Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7589008Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7589541Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7590016Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7590450Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7590907Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7591347Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7591789Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7592282Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7592879Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7593412Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7593865Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7594522Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7594952Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7595408Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7595971Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7596431Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7596869Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7597303Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7597739Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7598099Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7598484Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7598827Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7599267Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7599696Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7600712Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7601197Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7601852Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7602711Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7603718Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7605362Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7606476Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7607218Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7608305Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7609434Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7611115Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7612224Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7612679Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7613473Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7614179Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7614918Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7615657Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7616760Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7617832Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7618193Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7618688Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7619234Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7619529Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7619787Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7620237Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7623116Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7623570Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7624107Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7624552Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7624999Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7625570Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7626067Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7626510Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7626954Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7627412Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7627833Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7628256Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7628702Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7629028Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7629371Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7629680Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7630044Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7630361Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7630678Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7630999Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7631316Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7631624Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7631926Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7632218Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7632460Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7632719Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7632954Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7633357Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7633664Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7634376Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7634782Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7635231Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7635893Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7636623Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7637823Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7638550Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7638967Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7639693Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7640455Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7641652Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7642377Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7642696Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7643227Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7643741Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7644353Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7644890Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7645717Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7646500Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7646784Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7647125Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7647328Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7647515Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7647692Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7648023Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7649860Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7650160Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7650472Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7650794Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7651103Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7651420Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7651782Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7652094Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7652406Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7652720Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7653034Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7653342Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7653684Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7654083Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7654422Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7654737Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7655135Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7655445Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7655792Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7656148Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7656469Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7656778Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7657076Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7657377Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7657612Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7657877Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7658114Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7658420Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7658731Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7659435Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7659808Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7660256Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7660873Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7661694Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7662891Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7663622Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7664119Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7664861Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7665662Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7666869Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7667657Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7667985Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7668518Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7669034Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7669542Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7670067Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7670853Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7671625Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7671870Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7672199Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7672410Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T10:09:54.7672594Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T10:09:54.7672766Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:09:54.7673105Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T10:09:54.7675065Z V1204 10:09:51.645000 14367 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): 2025-12-04T10:09:54.7675379Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T10:09:54.7675733Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T10:09:54.7676052Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T10:09:54.7676361Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T10:09:54.7676716Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T10:09:54.7677083Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T10:09:54.7677393Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7677703Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T10:09:54.7678024Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T10:09:54.7678329Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T10:09:54.7678644Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T10:09:54.7678988Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T10:09:54.7679306Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7679641Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T10:09:54.7679950Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7680316Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T10:09:54.7680626Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7680951Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T10:09:54.7681265Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7681582Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T10:09:54.7681895Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T10:09:54.7682193Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T10:09:54.7682493Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T10:09:54.7682727Z V1204 10:09:51.645000 14367 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T10:09:54.7682990Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T10:09:54.7683234Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7683645Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T10:09:54.7683959Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T10:09:54.7684667Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7685075Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T10:09:54.7685536Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T10:09:54.7686210Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7686818Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7687722Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7688273Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7688586Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T10:09:54.7689132Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7689717Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94059256262576) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T10:09:54.7690628Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7691170Z V1204 10:09:51.646000 14367 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 2025-12-04T10:09:54.7691412Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T10:09:54.7691822Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7692203Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7692670Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7693064Z V1204 10:09:51.646000 14367 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) 2025-12-04T10:09:54.7693687Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7694274Z V1204 10:09:51.646000 14367 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 ) 2025-12-04T10:09:54.7694486Z V1204 10:09:51.646000 14367 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T10:09:54.7694735Z V1204 10:09:51.672000 14367 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 73.16 us 2025-12-04T10:09:54.7695125Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-cbba3891ccec9c6f.xml - 2025-12-04T10:09:54.7695243Z =========================== short test summary info ============================ 2025-12-04T10:09:54.7695460Z FAILED [10.8278s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7695655Z FAILED [0.0373s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7695850Z FAILED [0.0180s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7696032Z FAILED [0.0253s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7696226Z FAILED [0.0302s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7696406Z FAILED [0.0247s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7696585Z FAILED [0.0302s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7696776Z FAILED [0.0382s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7696954Z FAILED [0.0378s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7697141Z FAILED [0.0310s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7697323Z FAILED [0.0167s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7697506Z FAILED [0.0296s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7697699Z FAILED [0.0188s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7697878Z FAILED [0.0301s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7698058Z FAILED [0.0241s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7698243Z FAILED [0.0134s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7698425Z FAILED [0.0293s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7698610Z FAILED [0.0239s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7698790Z FAILED [0.0242s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7698971Z FAILED [0.0117s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7699166Z FAILED [0.0128s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7699529Z FAILED [0.0284s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7699794Z FAILED [0.0281s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7700041Z FAILED [0.0332s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7700350Z FAILED [0.0191s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7700754Z FAILED [0.0147s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7701081Z FAILED [0.0224s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7701563Z FAILED [0.0143s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7701981Z FAILED [0.0151s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7702311Z FAILED [0.0113s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7702647Z FAILED [0.0225s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7702972Z FAILED [0.0139s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7703278Z FAILED [0.0230s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7703626Z FAILED [0.0116s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7703954Z FAILED [0.0259s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7704295Z FAILED [0.0129s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7704625Z FAILED [0.0173s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7704945Z FAILED [0.0147s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7705294Z FAILED [0.0298s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7705624Z FAILED [0.0277s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7705951Z FAILED [0.0293s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7706281Z FAILED [0.0349s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7706612Z FAILED [0.0174s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7706937Z FAILED [0.0114s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7707268Z FAILED [0.0249s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7707589Z FAILED [0.0299s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7707931Z FAILED [0.0244s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7708269Z FAILED [0.0305s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7708608Z FAILED [0.0288s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7708924Z FAILED [0.0310s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T10:09:54.7709096Z ============================= 50 failed in 12.94s ============================== 2025-12-04T10:09:54.7709117Z 2025-12-04T10:09:54.7709618Z FINISHED PRINTING LOG FILE of test_dynamic_shapes 1/1 (test/test-reports/test_dynamic_shapes_1.1_dbc94de8c813f213_.log) 2025-12-04T10:09:54.7709628Z 2025-12-04T10:09:54.7709950Z Finished test_dynamic_shapes 1/1 ... [2025-12-04 10:09:54.553688][1842.481794669], took 0.30min 2025-12-04T10:09:54.7710840Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/complex_tensor.test_complex_tensor/complex_tensor.test_complex_tensor-9e49d2d0f3094a7c.xml 2025-12-04T10:09:54.9914111Z Uploading logs for 57120265717 to S3 2025-12-04T10:09:55.0292334Z Uploading artifacts took 0.39 seconds 2025-12-04T10:09:55.0292772Z test_dynamic_shapes 1/1 failed! 2025-12-04T10:20:50.8043920Z 2025-12-04T10:20:50.8045030Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_72e0c3dbc8b98fc1_.log 2025-12-04T10:20:50.8057746Z 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 2025-12-04T10:20:50.8067700Z 2025-12-04T10:20:50.8067920Z Finished test_mkldnn_fusion 1/1 ... [2025-12-04 10:20:50.804324][2498.73244521], took 11.33min 2025-12-04T10:20:50.8184519Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkldnn_fusion/test_mkldnn_fusion-f514789dae50dfb3.xml 2025-12-04T10:20:51.7035591Z Running test batch 'tests to run' cost 1614.7 seconds 2025-12-04T10:20:51.7048649Z Emitting td_test_failure_stats_v2 2025-12-04T10:20:51.7052029Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764843651_e8f1d5dcd0fa11f0b3d60242ac110002 2025-12-04T10:20:51.8136620Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764843651_e8f1d5dcd0fa11f0b3d60242ac110002 2025-12-04T10:20:51.8147132Z Emitting td_test_failure_stats_v2 2025-12-04T10:20:51.8148774Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764843651_e9029296d0fa11f0b3d60242ac110002 2025-12-04T10:20:51.8496846Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764843651_e9029296d0fa11f0b3d60242ac110002 2025-12-04T10:20:51.8514289Z Emitting td_test_failure_stats_v2 2025-12-04T10:20:51.8515776Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764843651_e9082c88d0fa11f0b3d60242ac110002 2025-12-04T10:20:51.8872480Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764843651_e9082c88d0fa11f0b3d60242ac110002 2025-12-04T10:20:51.8873465Z functorch/test_dims 1/1 failed! 2025-12-04T10:20:51.8873724Z test_ops 8/9 failed! 2025-12-04T10:20:51.8873966Z test_dynamic_shapes 1/1 failed! 2025-12-04T10:20:52.4804669Z 2025-12-04T10:20:52.4804948Z real 27m0.021s 2025-12-04T10:20:52.4805315Z user 84m55.644s 2025-12-04T10:20:52.4805530Z sys 27m7.674s 2025-12-04T10:20:52.4805739Z + assert_git_not_dirty 2025-12-04T10:20:52.4806207Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug != *rocm* ]] 2025-12-04T10:20:52.4806633Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-debug != *xla* ]] 2025-12-04T10:20:52.4814283Z ++ git status --porcelain 2025-12-04T10:20:52.4815065Z ++ grep -v '?? third_party' 2025-12-04T10:20:55.9650257Z ++ true 2025-12-04T10:20:55.9652391Z + git_status= 2025-12-04T10:20:55.9652790Z + [[ -n '' ]] 2025-12-04T10:20:55.9653886Z + sccache_epilogue 2025-12-04T10:20:55.9654257Z + echo '::group::Sccache Compilation Log' 2025-12-04T10:20:55.9654922Z ##[group]Sccache Compilation Log 2025-12-04T10:20:55.9655192Z + echo '=================== sccache compilation log ===================' 2025-12-04T10:20:55.9655492Z =================== sccache compilation log =================== 2025-12-04T10:20:55.9656058Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T10:20:55.9783089Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T10:20:55.9783742Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T10:20:55.9784188Z + sccache --show-stats 2025-12-04T10:20:55.9822541Z Compile requests 425 2025-12-04T10:20:55.9822873Z Compile requests executed 149 2025-12-04T10:20:55.9823141Z Cache hits 56 2025-12-04T10:20:55.9823349Z Cache hits (C/C++) 56 2025-12-04T10:20:55.9823561Z Cache misses 93 2025-12-04T10:20:55.9823776Z Cache misses (C/C++) 93 2025-12-04T10:20:55.9823998Z Cache hits rate 37.58 % 2025-12-04T10:20:55.9824220Z Cache hits rate (C/C++) 37.58 % 2025-12-04T10:20:55.9824436Z Cache timeouts 0 2025-12-04T10:20:55.9824649Z Cache read errors 0 2025-12-04T10:20:55.9824855Z Forced recaches 0 2025-12-04T10:20:55.9825323Z Cache write errors 0 2025-12-04T10:20:55.9825553Z Cache errors 0 2025-12-04T10:20:55.9825762Z Compilations 93 2025-12-04T10:20:55.9825967Z Compilation failures 0 2025-12-04T10:20:55.9826185Z Non-cacheable compilations 0 2025-12-04T10:20:55.9826402Z Non-cacheable calls 52 2025-12-04T10:20:55.9826689Z Non-compilation calls 224 2025-12-04T10:20:55.9826902Z Unsupported compiler calls 0 2025-12-04T10:20:55.9827127Z Average cache write 0.049 s 2025-12-04T10:20:55.9827353Z Average compiler 7.175 s 2025-12-04T10:20:55.9827570Z Average cache read hit 0.026 s 2025-12-04T10:20:55.9827798Z Failed distributed compilations 0 2025-12-04T10:20:55.9828026Z 2025-12-04T10:20:55.9828105Z Non-cacheable reasons: 2025-12-04T10:20:55.9828291Z unknown source language 50 2025-12-04T10:20:55.9828507Z -E 2 2025-12-04T10:20:55.9828666Z 2025-12-04T10:20:55.9828847Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T10:20:55.9829189Z Version (client) 0.10.0 2025-12-04T10:20:55.9829406Z + sccache --stop-server 2025-12-04T10:20:55.9846965Z Stopping sccache server... 2025-12-04T10:20:55.9849919Z Compile requests 425 2025-12-04T10:20:55.9850440Z Compile requests executed 149 2025-12-04T10:20:55.9850889Z Cache hits 56 2025-12-04T10:20:55.9851327Z Cache hits (C/C++) 56 2025-12-04T10:20:55.9851750Z Cache misses 93 2025-12-04T10:20:55.9852168Z Cache misses (C/C++) 93 2025-12-04T10:20:55.9852609Z Cache hits rate 37.58 % 2025-12-04T10:20:55.9853062Z Cache hits rate (C/C++) 37.58 % 2025-12-04T10:20:55.9853462Z Cache timeouts 0 2025-12-04T10:20:55.9853799Z Cache read errors 0 2025-12-04T10:20:55.9854150Z Forced recaches 0 2025-12-04T10:20:55.9854481Z Cache write errors 0 2025-12-04T10:20:55.9854818Z Cache errors 0 2025-12-04T10:20:55.9855151Z Compilations 93 2025-12-04T10:20:55.9855513Z Compilation failures 0 2025-12-04T10:20:55.9855871Z Non-cacheable compilations 0 2025-12-04T10:20:55.9856235Z Non-cacheable calls 52 2025-12-04T10:20:55.9856589Z Non-compilation calls 224 2025-12-04T10:20:55.9856943Z Unsupported compiler calls 0 2025-12-04T10:20:55.9857296Z Average cache write 0.049 s 2025-12-04T10:20:55.9857647Z Average compiler 7.175 s 2025-12-04T10:20:55.9857994Z Average cache read hit 0.026 s 2025-12-04T10:20:55.9858358Z Failed distributed compilations 0 2025-12-04T10:20:55.9858591Z 2025-12-04T10:20:55.9858704Z Non-cacheable reasons: 2025-12-04T10:20:55.9859012Z unknown source language 50 2025-12-04T10:20:55.9859339Z -E 2 2025-12-04T10:20:55.9859566Z 2025-12-04T10:20:55.9859824Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T10:20:55.9860335Z Version (client) 0.10.0 2025-12-04T10:20:55.9860676Z + echo ::endgroup:: 2025-12-04T10:20:55.9861372Z ##[endgroup] 2025-12-04T10:20:55.9861620Z + cleanup_workspace 2025-12-04T10:20:55.9862173Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T10:20:55.9863047Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T10:20:55.9863747Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T10:20:55.9864262Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T10:20:55.9864852Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T10:20:55.9865709Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T10:20:55.9866174Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T10:20:56.9926533Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T10:20:56.9926927Z with: 2025-12-04T10:20:56.9927120Z benchmark-results-dir: test/test-reports 2025-12-04T10:20:56.9927475Z dry-run: false 2025-12-04T10:20:56.9927643Z schema-version: v3 2025-12-04T10:20:56.9928010Z github-token: *** 2025-12-04T10:20:56.9928186Z env: 2025-12-04T10:20:56.9928337Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:20:56.9928534Z HAS_NVIDIA_GPU: true 2025-12-04T10:20:56.9928760Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:20:56.9929152Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:20:56.9929596Z ##[endgroup] 2025-12-04T10:20:56.9944788Z ##[group]Run set -eux 2025-12-04T10:20:56.9944997Z set -eux 2025-12-04T10:20:56.9945160Z  2025-12-04T10:20:56.9945311Z if [[ -n "" ]]; then 2025-12-04T10:20:56.9945509Z  source "" 2025-12-04T10:20:56.9945713Z fi 2025-12-04T10:20:56.9945970Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T10:20:56.9946271Z  2025-12-04T10:20:56.9946426Z DEVICE_NAME="" 2025-12-04T10:20:56.9946613Z DEVICE_TYPE="" 2025-12-04T10:20:56.9946785Z  2025-12-04T10:20:56.9946956Z if command -v nvidia-smi; then 2025-12-04T10:20:56.9947273Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T10:20:56.9947675Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T10:20:56.9948065Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T10:20:56.9948388Z  python3 -mpip install torch==2.7.1 2025-12-04T10:20:56.9948636Z elif command -v rocminfo; then 2025-12-04T10:20:56.9948955Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T10:20:56.9949353Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T10:20:56.9949749Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T10:20:56.9950088Z  # GPU device name coming from rocminfo instead 2025-12-04T10:20:56.9950343Z  DEVICE_NAME=rocm 2025-12-04T10:20:56.9950686Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T10:20:56.9951035Z fi 2025-12-04T10:20:56.9951184Z  2025-12-04T10:20:56.9951378Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T10:20:56.9951666Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T10:20:56.9963608Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:20:56.9963889Z env: 2025-12-04T10:20:56.9964054Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:20:56.9964251Z HAS_NVIDIA_GPU: true 2025-12-04T10:20:56.9964488Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:20:56.9964885Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:20:56.9965228Z ##[endgroup] 2025-12-04T10:20:57.0002169Z + [[ -n '' ]] 2025-12-04T10:20:57.0002599Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T10:20:57.2202365Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T10:20:58.2568875Z Collecting boto3==1.35.33 2025-12-04T10:20:58.2731316Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T10:20:58.5754396Z Collecting psutil==7.0.0 2025-12-04T10:20:58.5788697Z 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) 2025-12-04T10:20:58.6090222Z Collecting pynvml==12.0.0 2025-12-04T10:20:58.6127653Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T10:20:58.6585846Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T10:20:58.6621393Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T10:20:59.7573192Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T10:20:59.7612441Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T10:20:59.9019945Z 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) 2025-12-04T10:20:59.9420008Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T10:20:59.9457697Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T10:20:59.9532715Z 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) 2025-12-04T10:20:59.9541188Z 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) 2025-12-04T10:21:00.0930009Z 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) 2025-12-04T10:21:00.2119527Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T10:21:00.7387527Z Attempting uninstall: nvidia-ml-py 2025-12-04T10:21:00.7388816Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T10:21:00.7402074Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T10:21:00.7620936Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T10:21:00.8122059Z Attempting uninstall: psutil 2025-12-04T10:21:00.8122812Z Found existing installation: psutil 5.9.8 2025-12-04T10:21:00.8200775Z Uninstalling psutil-5.9.8: 2025-12-04T10:21:00.8207429Z Successfully uninstalled psutil-5.9.8 2025-12-04T10:21:00.9671646Z 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 2025-12-04T10:21:01.0534120Z + DEVICE_NAME= 2025-12-04T10:21:01.0534385Z + DEVICE_TYPE= 2025-12-04T10:21:01.0534608Z + command -v nvidia-smi 2025-12-04T10:21:01.0534933Z + python3 -mpip install torch==2.7.1 2025-12-04T10:21:01.0535233Z /usr/bin/nvidia-smi 2025-12-04T10:21:01.2722480Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T10:21:01.5186407Z Collecting torch==2.7.1 2025-12-04T10:21:01.5351291Z Downloading torch-2.7.1-cp39-cp39-manylinux_2_28_x86_64.whl (821.1 MB) 2025-12-04T10:21:13.4245107Z Collecting nvidia-nccl-cu12==2.26.2 2025-12-04T10:21:13.4281393Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-12-04T10:21:15.6686238Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-12-04T10:21:15.6724463Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-12-04T10:21:20.9936281Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-12-04T10:21:20.9971087Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-12-04T10:21:22.5334586Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-12-04T10:21:22.5391348Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-12-04T10:21:24.7415182Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-12-04T10:21:24.7452991Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-12-04T10:21:26.2731622Z Collecting triton==3.3.1 2025-12-04T10:21:26.2793701Z Downloading triton-3.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-12-04T10:21:27.7260571Z Requirement already satisfied: jinja2 in /usr/lib/python3.9/site-packages (from torch==2.7.1) (2.11.3) 2025-12-04T10:21:27.7541614Z Collecting nvidia-curand-cu12==10.3.7.77 2025-12-04T10:21:27.7575040Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-12-04T10:21:28.3309863Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-12-04T10:21:28.3347103Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-12-04T10:21:30.8518183Z Collecting filelock 2025-12-04T10:21:30.8556137Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-12-04T10:21:30.8956970Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-12-04T10:21:30.9014666Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-12-04T10:21:38.8215531Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-12-04T10:21:38.8280349Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-12-04T10:21:38.9012753Z Collecting fsspec 2025-12-04T10:21:38.9046230Z Downloading fsspec-2025.10.0-py3-none-any.whl (200 kB) 2025-12-04T10:21:38.9387334Z Collecting nvidia-nvtx-cu12==12.6.77 2025-12-04T10:21:38.9423966Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-12-04T10:21:38.9622438Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-12-04T10:21:38.9656175Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-12-04T10:21:39.0106764Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-12-04T10:21:39.0174053Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-12-04T10:21:39.1845431Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from torch==2.7.1) (4.15.0) 2025-12-04T10:21:39.2121109Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-12-04T10:21:39.2154227Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-12-04T10:21:39.3449241Z Collecting sympy>=1.13.3 2025-12-04T10:21:39.3485871Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-12-04T10:21:39.4680030Z Collecting networkx 2025-12-04T10:21:39.4714132Z Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB) 2025-12-04T10:21:39.5174364Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-12-04T10:21:39.5207280Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-12-04T10:21:39.7374747Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3.9/site-packages (from triton==3.3.1->torch==2.7.1) (59.6.0) 2025-12-04T10:21:39.7633452Z Collecting mpmath<1.4,>=1.1.0 2025-12-04T10:21:39.7681568Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-12-04T10:21:39.8484369Z Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python3.9/site-packages (from jinja2->torch==2.7.1) (1.1.1) 2025-12-04T10:21:40.1508050Z Installing collected packages: nvidia-nvjitlink-cu12, nvidia-cusparse-cu12, nvidia-cublas-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nccl-cu12, nvidia-cusparselt-cu12, nvidia-cusolver-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, networkx, fsspec, filelock, torch 2025-12-04T10:21:47.8682351Z WARNING: The scripts proton and proton-viewer are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T10:21:47.8683202Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T10:21:51.3527251Z WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T10:21:51.3528020Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T10:22:17.9443442Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T10:22:17.9444349Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T10:22:18.0878314Z Successfully installed filelock-3.19.1 fsspec-2025.10.0 mpmath-1.3.0 networkx-3.2.1 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1 2025-12-04T10:22:18.5975703Z + echo DEVICE_NAME= 2025-12-04T10:22:18.5976360Z + echo DEVICE_TYPE= 2025-12-04T10:22:18.6060116Z ##[group]Run set -eux 2025-12-04T10:22:18.6060321Z set -eux 2025-12-04T10:22:18.6060477Z  2025-12-04T10:22:18.6060655Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T10:22:18.6061024Z  echo "Missing github-token input" 2025-12-04T10:22:18.6061353Z  exit 1 2025-12-04T10:22:18.6061522Z fi 2025-12-04T10:22:18.6071936Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:18.6072216Z env: 2025-12-04T10:22:18.6072377Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:18.6072580Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:18.6072821Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:18.6073361Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:18.6073730Z DEVICE_NAME: 2025-12-04T10:22:18.6073894Z DEVICE_TYPE: 2025-12-04T10:22:18.6074232Z GITHUB_TOKEN: *** 2025-12-04T10:22:18.6074412Z ##[endgroup] 2025-12-04T10:22:18.6224902Z + [[ -z *** ]] 2025-12-04T10:22:18.6280683Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T10:22:18.6281001Z with: 2025-12-04T10:22:18.6281280Z github-token: *** 2025-12-04T10:22:18.6281456Z env: 2025-12-04T10:22:18.6281614Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:18.6281808Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:18.6282026Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:18.6282426Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:18.6282787Z DEVICE_NAME: 2025-12-04T10:22:18.6282958Z DEVICE_TYPE: 2025-12-04T10:22:18.6283117Z ##[endgroup] 2025-12-04T10:22:18.6410823Z ##[group]Run set -eux 2025-12-04T10:22:18.6411008Z set -eux 2025-12-04T10:22:18.6411171Z  2025-12-04T10:22:18.6411525Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T10:22:18.6422089Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:18.6422375Z env: 2025-12-04T10:22:18.6422535Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:18.6422729Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:18.6422970Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:18.6423384Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:18.6423746Z DEVICE_NAME: 2025-12-04T10:22:18.6423902Z DEVICE_TYPE: 2025-12-04T10:22:18.6424180Z GITHUB_TOKEN: *** 2025-12-04T10:22:18.6424361Z ##[endgroup] 2025-12-04T10:22:18.6451475Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922826259 i-0af740a9f30bf0f12 2025-12-04T10:22:21.2972703Z setting job-id=57120265717 2025-12-04T10:22:21.2973491Z setting job-name=linux-jammy-cuda12.8-py3.10-gcc11-debug / test (default, 7, 7, linux.g6.4xlarge.experimental.nvidia.gpu, oncall:debug-build, rerun_disabled... 2025-12-04T10:22:21.3093198Z ##[group]Run set -eux 2025-12-04T10:22:21.3093409Z set -eux 2025-12-04T10:22:21.3093563Z  2025-12-04T10:22:21.3093719Z if [[ -n "" ]]; then 2025-12-04T10:22:21.3093926Z  source "" 2025-12-04T10:22:21.3094092Z fi 2025-12-04T10:22:21.3094244Z  2025-12-04T10:22:21.3094530Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T10:22:21.3094911Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T10:22:21.3095340Z  --repo "${REPO}" \ 2025-12-04T10:22:21.3095564Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T10:22:21.3095807Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T10:22:21.3096040Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T10:22:21.3096376Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T10:22:21.3096606Z  --job-id "${JOB_ID}" \ 2025-12-04T10:22:21.3096819Z  --job-name "${JOB_NAME}" 2025-12-04T10:22:21.3104671Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:21.3104954Z env: 2025-12-04T10:22:21.3105111Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:21.3105405Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:21.3105635Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:21.3106041Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:21.3106391Z DEVICE_NAME: 2025-12-04T10:22:21.3106557Z DEVICE_TYPE: 2025-12-04T10:22:21.3106720Z SCHEMA_VERSION: v3 2025-12-04T10:22:21.3106903Z REPO: pytorch/pytorch 2025-12-04T10:22:21.3107101Z HEAD_BRANCH: refs/heads/main 2025-12-04T10:22:21.3107337Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T10:22:21.3107593Z WORKFLOW_RUN_ID: 19922826259 2025-12-04T10:22:21.3107782Z RUN_ATTEMPT: 1 2025-12-04T10:22:21.3107948Z JOB_ID: 57120265717 2025-12-04T10:22:21.3108444Z JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11-debug / test (default, 7, 7, linux.g6.4xlarge.experimental.nvidia.gpu, oncall:debug-build, rerun_disabled... 2025-12-04T10:22:21.3109100Z ##[endgroup] 2025-12-04T10:22:21.3137261Z + [[ -n '' ]] 2025-12-04T10:22:21.3139297Z + 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 57120265717 --job-name 'linux-jammy-cuda12.8-py3.10-gcc11-debug / test (default, 7, 7, linux.g6.4xlarge.experimental.nvidia.gpu, oncall:debug-build, rerun_disabled...' 2025-12-04T10:22:21.3524784Z ##[group]Run set -eux 2025-12-04T10:22:21.3524981Z set -eux 2025-12-04T10:22:21.3525139Z  2025-12-04T10:22:21.3525296Z if [[ -n "" ]]; then 2025-12-04T10:22:21.3525502Z  source "" 2025-12-04T10:22:21.3525669Z fi 2025-12-04T10:22:21.3525821Z  2025-12-04T10:22:21.3526111Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T10:22:21.3536480Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:21.3536763Z env: 2025-12-04T10:22:21.3536924Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:21.3537109Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:21.3537355Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:21.3537764Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:21.3538127Z DEVICE_NAME: 2025-12-04T10:22:21.3538287Z DEVICE_TYPE: 2025-12-04T10:22:21.3538448Z ##[endgroup] 2025-12-04T10:22:21.3563754Z + [[ -n '' ]] 2025-12-04T10:22:21.3564358Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T10:22:22.1946905Z /home/ec2-user/.local/lib/python3.9/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-12-04T10:22:22.1948019Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T10:22:23.1157695Z ##[group]Run set -eux 2025-12-04T10:22:23.1157912Z set -eux 2025-12-04T10:22:23.1158073Z  2025-12-04T10:22:23.1158265Z # TODO (huydhn): Implement this part 2025-12-04T10:22:23.1158549Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T10:22:23.1167092Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:23.1167442Z env: 2025-12-04T10:22:23.1167626Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:23.1167861Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:23.1168226Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:23.1168701Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:23.1169079Z DEVICE_NAME: 2025-12-04T10:22:23.1169236Z DEVICE_TYPE: 2025-12-04T10:22:23.1169398Z ##[endgroup] 2025-12-04T10:22:23.1199401Z + echo 'dependencies={}' 2025-12-04T10:22:23.1253804Z ##[group]Run set -eux 2025-12-04T10:22:23.1254008Z set -eux 2025-12-04T10:22:23.1254172Z  2025-12-04T10:22:23.1254337Z if [[ -n "" ]]; then 2025-12-04T10:22:23.1254532Z  source "" 2025-12-04T10:22:23.1254702Z fi 2025-12-04T10:22:23.1254853Z  2025-12-04T10:22:23.1255052Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T10:22:23.1255376Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T10:22:23.1255733Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T10:22:23.1256010Z  exit 0 2025-12-04T10:22:23.1256168Z fi 2025-12-04T10:22:23.1256320Z  2025-12-04T10:22:23.1256484Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T10:22:23.1256819Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T10:22:23.1257239Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T10:22:23.1257604Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T10:22:23.1257901Z  --runners "${RUNNER_INFO}" \ 2025-12-04T10:22:23.1258195Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T10:22:23.1258477Z  --dry-run 2025-12-04T10:22:23.1258685Z else 2025-12-04T10:22:23.1259000Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T10:22:23.1259426Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T10:22:23.1259718Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T10:22:23.1259961Z  --runners "${RUNNER_INFO}" \ 2025-12-04T10:22:23.1260198Z  --dependencies "${DEPENDENCIES}" 2025-12-04T10:22:23.1260420Z fi 2025-12-04T10:22:23.1267850Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:23.1268138Z env: 2025-12-04T10:22:23.1268301Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:23.1268498Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:23.1268718Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:23.1269119Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:23.1269478Z DEVICE_NAME: 2025-12-04T10:22:23.1269636Z DEVICE_TYPE: 2025-12-04T10:22:23.1269823Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T10:22:23.1270046Z DRY_RUN: false 2025-12-04T10:22:23.1271161Z BENCHMARK_METADATA: {"timestamp": 1764843741, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11-debug / test (default, 7, 7, linux.g6.4xlarge.experimental.nvidia.gpu, oncall:debug-build, rerun_disabled...", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57120265717} 2025-12-04T10:22:23.1272656Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 60, "extra_info": {"hostname": "ip-10-0-50-147.ec2.internal"}, "name": "cuda", "type": "NVIDIA L4", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}] 2025-12-04T10:22:23.1273194Z DEPENDENCIES: {} 2025-12-04T10:22:23.1273363Z ##[endgroup] 2025-12-04T10:22:23.1298468Z + [[ -n '' ]] 2025-12-04T10:22:23.1298691Z + [[ ! -d test/test-reports ]] 2025-12-04T10:22:23.1298908Z + [[ false == \t\r\u\e ]] 2025-12-04T10:22:23.1301324Z + 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": 1764843741, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11-debug / test (default, 7, 7, linux.g6.4xlarge.experimental.nvidia.gpu, oncall:debug-build, rerun_disabled...", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57120265717}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 60, "extra_info": {"hostname": "ip-10-0-50-147.ec2.internal"}, "name": "cuda", "type": "NVIDIA L4", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]' --dependencies '{}' 2025-12-04T10:22:23.3380202Z /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': 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{'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-dfd41e3c5a643c92d5f2.json is not a benchmark record, skipping 2025-12-04T10:22:23.3431744Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T10:22:23.3570288Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T10:22:23.3570624Z cat test/**/*_toprint.log || true 2025-12-04T10:22:23.3578632Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:23.3578904Z env: 2025-12-04T10:22:23.3579064Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:23.3579258Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:23.3579492Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:23.3579885Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:23.3580240Z DEVICE_NAME: 2025-12-04T10:22:23.3580406Z DEVICE_TYPE: 2025-12-04T10:22:23.3580563Z ##[endgroup] 2025-12-04T10:22:23.3754223Z cat: 'test/**/*_toprint.log': No such file or directory 2025-12-04T10:22:23.3820615Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T10:22:23.3820924Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T10:22:23.3828041Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:23.3828430Z env: 2025-12-04T10:22:23.3828589Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:23.3828779Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:23.3829009Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:23.3829402Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:23.3829765Z DEVICE_NAME: 2025-12-04T10:22:23.3830020Z DEVICE_TYPE: 2025-12-04T10:22:23.3830191Z MONITOR_SCRIPT_PID: 60515 2025-12-04T10:22:23.3830380Z ##[endgroup] 2025-12-04T10:22:23.3857168Z /home/ec2-user/actions-runner/_work/_temp/92716840-f581-4136-af10-b88d4167de94.sh: line 1: kill: (60515) - No such process 2025-12-04T10:22:23.3868385Z ##[error]Process completed with exit code 1. 2025-12-04T10:22:23.3985061Z Prepare all required actions 2025-12-04T10:22:23.3985438Z Getting action download info 2025-12-04T10:22:23.5660556Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T10:22:24.2500993Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T10:22:26.3920624Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T10:22:26.3920888Z with: 2025-12-04T10:22:26.3921203Z file-suffix: test-default-7-7-linux.g6.4xlarge.experimental.nvidia.gpu_57120265717 2025-12-04T10:22:26.3921588Z s3-bucket: gha-artifacts 2025-12-04T10:22:26.3921791Z env: 2025-12-04T10:22:26.3921945Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:26.3922136Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:26.3922371Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:26.3922761Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:26.3923141Z DEVICE_NAME: 2025-12-04T10:22:26.3923299Z DEVICE_TYPE: 2025-12-04T10:22:26.3923458Z ##[endgroup] 2025-12-04T10:22:26.4018177Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T10:22:26.4018711Z # Remove any previous test jsons if they exist 2025-12-04T10:22:26.4019353Z rm -f test-jsons-*.zip 2025-12-04T10:22:26.4019854Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T10:22:26.4029027Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:26.4029308Z env: 2025-12-04T10:22:26.4029472Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:26.4029693Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:26.4030006Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:26.4030417Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:26.4030774Z DEVICE_NAME: 2025-12-04T10:22:26.4030935Z DEVICE_TYPE: 2025-12-04T10:22:26.4031241Z FILE_SUFFIX: test-default-7-7-linux.g6.4xlarge.experimental.nvidia.gpu_57120265717 2025-12-04T10:22:26.4031589Z ##[endgroup] 2025-12-04T10:22:26.4882419Z adding: test/test-reports/td_exclusions-dfd41e3c5a643c92d5f2.json (deflated 82%) 2025-12-04T10:22:26.4883235Z adding: test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-4276869429496495.json (stored 0%) 2025-12-04T10:22:26.4907823Z adding: test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-eb4be149fd33cd33.json (deflated 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test/test-reports/lazy.test_ts_opinfo_1.1_bcd36db6409a5ed9_.log (deflated 49%) 2025-12-04T10:22:26.5864403Z adding: test/test-reports/complex_tensor.test_complex_tensor_1.3_d649ed9e53b89bb6_.log (deflated 58%) 2025-12-04T10:22:26.5886585Z adding: test/test-reports/test_dynamic_shapes_1.1_dbc94de8c813f213_.log (deflated 99%) 2025-12-04T10:22:26.5887342Z adding: test/test-reports/test_mkldnn_fusion_1.1_72e0c3dbc8b98fc1_.log (deflated 91%) 2025-12-04T10:22:26.5930007Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T10:22:26.5930735Z # Remove any previous debugging artifacts if they exist 2025-12-04T10:22:26.5931169Z rm -f debug-*.zip 2025-12-04T10:22:26.5931472Z if [ -d 'test/debug' ]; then 2025-12-04T10:22:26.5931846Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T10:22:26.5932198Z fi 2025-12-04T10:22:26.5942668Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:26.5942947Z env: 2025-12-04T10:22:26.5943105Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:26.5943292Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:26.5943527Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:26.5943925Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:26.5944276Z DEVICE_NAME: 2025-12-04T10:22:26.5944430Z DEVICE_TYPE: 2025-12-04T10:22:26.5944722Z FILE_SUFFIX: test-default-7-7-linux.g6.4xlarge.experimental.nvidia.gpu_57120265717 2025-12-04T10:22:26.5945064Z ##[endgroup] 2025-12-04T10:22:26.6078096Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:22:26.6078398Z with: 2025-12-04T10:22:26.6078588Z s3-bucket: gha-artifacts 2025-12-04T10:22:26.6078846Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T10:22:26.6079112Z retention-days: 14 2025-12-04T10:22:26.6079314Z if-no-files-found: warn 2025-12-04T10:22:26.6079533Z path: test-jsons-*.zip 2025-12-04T10:22:26.6079732Z name: artifact 2025-12-04T10:22:26.6079916Z region: us-east-1 2025-12-04T10:22:26.6080092Z env: 2025-12-04T10:22:26.6080246Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:26.6080445Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:26.6080692Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:26.6081106Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:26.6081466Z DEVICE_NAME: 2025-12-04T10:22:26.6081640Z DEVICE_TYPE: 2025-12-04T10:22:26.6081854Z ##[endgroup] 2025-12-04T10:22:27.1289125Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:22:27.1289575Z With the provided path, there will be 1 file uploaded 2025-12-04T10:22:27.1290029Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T10:22:27.1360188Z Starting upload of test-jsons-test-default-7-7-linux.g6.4xlarge.experimental.nvidia.gpu_57120265717.zip 2025-12-04T10:22:27.2661323Z Finished upload of test-jsons-test-default-7-7-linux.g6.4xlarge.experimental.nvidia.gpu_57120265717.zip 2025-12-04T10:22:27.2886822Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:22:27.2887056Z with: 2025-12-04T10:22:27.2887216Z s3-bucket: gha-artifacts 2025-12-04T10:22:27.2887451Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T10:22:27.2887812Z retention-days: 14 2025-12-04T10:22:27.2887995Z if-no-files-found: error 2025-12-04T10:22:27.2888191Z path: test-reports-*.zip 2025-12-04T10:22:27.2888368Z name: artifact 2025-12-04T10:22:27.2888533Z region: us-east-1 2025-12-04T10:22:27.2888697Z env: 2025-12-04T10:22:27.2888849Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:27.2889159Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:27.2889390Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:27.2889790Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:27.2890139Z DEVICE_NAME: 2025-12-04T10:22:27.2890301Z DEVICE_TYPE: 2025-12-04T10:22:27.2890464Z ##[endgroup] 2025-12-04T10:22:27.8391797Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:22:27.8392292Z With the provided path, there will be 1 file uploaded 2025-12-04T10:22:27.8392724Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T10:22:27.8459959Z Starting upload of test-reports-test-default-7-7-linux.g6.4xlarge.experimental.nvidia.gpu_57120265717.zip 2025-12-04T10:22:27.9680377Z Finished upload of test-reports-test-default-7-7-linux.g6.4xlarge.experimental.nvidia.gpu_57120265717.zip 2025-12-04T10:22:27.9924932Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:22:27.9925171Z with: 2025-12-04T10:22:27.9925342Z s3-bucket: gha-artifacts 2025-12-04T10:22:27.9925577Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T10:22:27.9925835Z retention-days: 14 2025-12-04T10:22:27.9926024Z if-no-files-found: ignore 2025-12-04T10:22:27.9926217Z path: logs-*.zip 2025-12-04T10:22:27.9926380Z name: artifact 2025-12-04T10:22:27.9926546Z region: us-east-1 2025-12-04T10:22:27.9926718Z env: 2025-12-04T10:22:27.9926863Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:27.9927061Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:27.9927302Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:27.9927705Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:27.9928050Z DEVICE_NAME: 2025-12-04T10:22:27.9928212Z DEVICE_TYPE: 2025-12-04T10:22:27.9928371Z ##[endgroup] 2025-12-04T10:22:28.2819356Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T10:22:28.2819957Z With the provided path, there will be 1 file uploaded 2025-12-04T10:22:28.2820536Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T10:22:28.2888177Z Starting upload of logs-test-default-7-7-linux.g6.4xlarge.experimental.nvidia.gpu_57120265717.zip 2025-12-04T10:22:28.4351010Z Finished upload of logs-test-default-7-7-linux.g6.4xlarge.experimental.nvidia.gpu_57120265717.zip 2025-12-04T10:22:28.4612083Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T10:22:28.4612338Z with: 2025-12-04T10:22:28.4612506Z s3-bucket: gha-artifacts 2025-12-04T10:22:28.4612753Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T10:22:28.4613014Z retention-days: 14 2025-12-04T10:22:28.4613205Z if-no-files-found: ignore 2025-12-04T10:22:28.4613402Z path: debug-*.zip 2025-12-04T10:22:28.4613567Z name: artifact 2025-12-04T10:22:28.4613726Z region: us-east-1 2025-12-04T10:22:28.4613891Z env: 2025-12-04T10:22:28.4614046Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:28.4614231Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:28.4614465Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:28.4614872Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:28.4615238Z DEVICE_NAME: 2025-12-04T10:22:28.4615407Z DEVICE_TYPE: 2025-12-04T10:22:28.4615571Z ##[endgroup] 2025-12-04T10:22:28.7440396Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T10:22:28.7709940Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T10:22:28.7710262Z # shellcheck disable=SC2156 2025-12-04T10:22:28.7710685Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T10:22:28.7720069Z shell: /usr/bin/bash -e {0} 2025-12-04T10:22:28.7720289Z env: 2025-12-04T10:22:28.7720454Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:28.7720648Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:28.7720883Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:28.7721292Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:28.7721749Z DEVICE_NAME: 2025-12-04T10:22:28.7721912Z DEVICE_TYPE: 2025-12-04T10:22:28.7722068Z ##[endgroup] 2025-12-04T10:22:29.1695151Z Prepare all required actions 2025-12-04T10:22:29.1695528Z Getting action download info 2025-12-04T10:22:29.3110924Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T10:22:30.9621855Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T10:22:30.9622125Z with: 2025-12-04T10:22:30.9622276Z job_id: 57120265717 2025-12-04T10:22:30.9622785Z job_name: linux-jammy-cuda12.8-py3.10-gcc11-debug / test (default, 7, 7, linux.g6.4xlarge.experimental.nvidia.gpu, oncall:debug-build, rerun_disabled... 2025-12-04T10:22:30.9623325Z workflow_name: periodic 2025-12-04T10:22:30.9623518Z workflow_run_id: 19922826259 2025-12-04T10:22:30.9623722Z workflow_attempt: 1 2025-12-04T10:22:30.9623900Z env: 2025-12-04T10:22:30.9624080Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:30.9624281Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:30.9624509Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:30.9624944Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:30.9625309Z DEVICE_NAME: 2025-12-04T10:22:30.9625470Z DEVICE_TYPE: 2025-12-04T10:22:30.9625631Z ##[endgroup] 2025-12-04T10:22:30.9727205Z ##[group]Run actions/setup-python@v6 2025-12-04T10:22:30.9727427Z with: 2025-12-04T10:22:30.9727590Z python-version: 3.10 2025-12-04T10:22:30.9727769Z check-latest: false 2025-12-04T10:22:30.9728026Z token: *** 2025-12-04T10:22:30.9728200Z update-environment: true 2025-12-04T10:22:30.9728407Z allow-prereleases: false 2025-12-04T10:22:30.9728600Z freethreaded: false 2025-12-04T10:22:30.9728770Z env: 2025-12-04T10:22:30.9728917Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:30.9729096Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:30.9729318Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:30.9729715Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:30.9730058Z DEVICE_NAME: 2025-12-04T10:22:30.9730224Z DEVICE_TYPE: 2025-12-04T10:22:30.9730380Z ##[endgroup] 2025-12-04T10:22:31.2495510Z ##[group]Installed versions 2025-12-04T10:22:31.2505559Z Version 3.10 was not found in the local cache 2025-12-04T10:22:31.2654839Z (node:77107) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T10:22:31.2655892Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T10:22:31.6455187Z ##[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 2025-12-04T10:22:31.6643479Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T10:22:31.6643838Z with: 2025-12-04T10:22:31.6643993Z env: 2025-12-04T10:22:31.6644140Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:31.6644335Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:31.6644570Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:31.6644971Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:31.6645331Z DEVICE_NAME: 2025-12-04T10:22:31.6645500Z DEVICE_TYPE: 2025-12-04T10:22:31.6645653Z ##[endgroup] 2025-12-04T10:22:31.6732784Z ##[group]Run set -eou pipefail 2025-12-04T10:22:31.6733023Z set -eou pipefail 2025-12-04T10:22:31.6733329Z  2025-12-04T10:22:31.6733605Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T10:22:31.6733935Z for _ in $(seq 1440); do 2025-12-04T10:22:31.6734203Z  # Break if no ssh session exists anymore 2025-12-04T10:22:31.6734449Z  if [ "$(who)" = "" ]; then 2025-12-04T10:22:31.6734744Z  break 2025-12-04T10:22:31.6734914Z  fi 2025-12-04T10:22:31.6735074Z  echo "." 2025-12-04T10:22:31.6735242Z  sleep 5 2025-12-04T10:22:31.6735408Z done 2025-12-04T10:22:31.6743200Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:31.6743478Z env: 2025-12-04T10:22:31.6743641Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:31.6743832Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:31.6744047Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:31.6744434Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:31.6744804Z DEVICE_NAME: 2025-12-04T10:22:31.6744986Z DEVICE_TYPE: 2025-12-04T10:22:31.6745191Z ##[endgroup] 2025-12-04T10:22:31.6774798Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T10:22:31.7331891Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T10:22:31.7332295Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T10:22:31.7332602Z # shellcheck disable=SC2046 2025-12-04T10:22:31.7332846Z docker stop $(docker ps -q) || true 2025-12-04T10:22:31.7333085Z # Prune all of the docker images 2025-12-04T10:22:31.7333314Z docker system prune -af 2025-12-04T10:22:31.7340387Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T10:22:31.7340658Z env: 2025-12-04T10:22:31.7340813Z GIT_DEFAULT_BRANCH: main 2025-12-04T10:22:31.7341002Z HAS_NVIDIA_GPU: true 2025-12-04T10:22:31.7341316Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T10:22:31.7341725Z DOCKER_CONTAINER_ID: 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:31.7342085Z DEVICE_NAME: 2025-12-04T10:22:31.7342247Z DEVICE_TYPE: 2025-12-04T10:22:31.7342412Z ##[endgroup] 2025-12-04T10:22:48.6550411Z 31b4f6acc346 2025-12-04T10:22:49.3915402Z Deleted Containers: 2025-12-04T10:22:49.3915852Z 31b4f6acc346bf42364a9bd16fc5f6feb7ba43e3448efb79d1d76a7074ef98e0 2025-12-04T10:22:49.3916169Z 2025-12-04T10:23:01.2480206Z Deleted Images: 2025-12-04T10:23:01.2480920Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T10:23:01.2481832Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:ba21003510dba4bdeed83df81a56fa468e0ee1b612a9445ae1f402a280804f97 2025-12-04T10:23:01.2482473Z deleted: sha256:add7313791033822205cdb3cf32096534b2cfaa4855bd48119b59000bfe00301 2025-12-04T10:23:01.2482960Z deleted: sha256:85a76b7bf29ad34eb76cce6f46af5d49a58b6272f80f983d5c769e82c7749301 2025-12-04T10:23:01.2483402Z deleted: sha256:0882f3ce59ff5ae30195ee4b059fc713e13eda107a3a7814a4616ac9058a30a4 2025-12-04T10:23:01.2484228Z deleted: 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